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According to the ISO guidelines [ 41 ], test instruments described in Section 2. In many indoor thermal comfort studies [ [42] , [43] , [44] , [45] , [46] ], the height of the instrument were chose at the level of 1. When the human body is sitting still, the height of the head or face is about 1. These parts can be in direct contact with the environment for heat exchange.

The sensitivity of the head and face is relatively strong [ [47] , [48] , [49] , [50] , [51] , [52] ]. Thus, in this field survey, the height of the instrument was set at level of 1. A standard globe thermometer with a diameter D of 0. The mean radiant temperature T mrt was calculated using Eq. Instruments used to measure the air temperature T a , relative humidity RH , globe temperature T g , air velocity V a.

Healthy subjects were selected to ensure the validity of the data, and incomplete questionnaires were excluded. Linear regression and logistic regression were used to analyze the relationship between the environmental parameters and the responses to the subjective questionnaire. The observations of the measured indoor thermal parameters T a , RH , V a , and T mrt measured are summarized in Table 4. The minimum RH of the air in the library reached The distribution of environmental parameters in the library is shown in Fig.

T op in the library was mostly Owing to the influence of solar radiation, the fifth floor of the library showed the highest temperature. The proportion of indoor V a less than 0. Distribution of indoor environmental parameters in the library: a T op ; b RH ; and c V a. Among the questionnaires collected, questionnaires of subjects who wore masks were included.

Among them, The voting distribution for discomfort regarding each body part is shown in Fig. The proportion of facial discomfort was the largest The proportions of head and chest discomfort were Wearing masks for a long time may cause headache, dyspnea, and other symptoms; therefore, the proportions of discomfort due to these two symptoms would increase over time. Some subjects who wore masks for a long time experienced rapid heartbeat 9. Percentages of participants who voted that they experienced discomfort in various body parts.

A greater proportion of subjects with masks preferred a higher air velocity than that of subjects without wearing masks. Additionally, the more than half subjects preferred reduced the operative temperature to improve thermal comfort, specially the subjects with masks. Thus, effects of masks on thermal comfort are significant. The demands of air velocity and operative temperature was different between wearing masks and without wearing masks.

In addition, most subjects opined that the humidity level was acceptable. The primary reason is that the subjects has strong adaptive ability in high relative humidity in South China [ [54] , [55] , [56] ].

Therefore, in order to improve the thermal comfort in an air-conditioned room, the operative temperature needs to be lower with higher air velocity. Distribution of percent thermal preference for environmental parameters with or without masks. The overall and local TSV results showed that wearing masks has a certain impact on human thermal sensation Fig. The proportion of subjects wearing masks who reported TSV greater than zero was approximately 6.

Considering individual parts of the body, the most obvious change in the TSV was in the face, where the percentage of subjects wearing masks and reporting a TSV greater than zero increased by approximately The proportion of subjects who wore masks and reported a TSV greater than zero for the head and chest were 6.

Further, the proportion of subjects who wore masks and reported a TSV greater than zero for the back and limbs was small. Wearing masks can affect the breathing frequency and inspiratory capacity, thereby resulting in heat accumulation on the face, and an overall feeling of excessive heat. Percentage distribution and normal distribution curve of thermal sensation votes in the library: a Whole; b Face; c Head; d Back; e Chest; and f Limbs. No difference was observed between those with and without masks in their voting on the feeling of heat and wind on the back, chest, and limbs.

The most obvious differences between the subjects who wore and did not wear masks were in their reporting about the face and head. For the whole body MTSV, similar differences were observed between the subjects who wore and did not wear masks. These correlations were calculated based on thermal sensation voting. The results were reasonable. The small p-value indicates that there is a significant difference between them, which indicates that there is a significant difference between wearing masks and not wearing masks in the whole thermal sensation and some local thermal sensation.

Most subjects always feel acceptable in whole body thermal sensation. In addition, the comfort temperature was determined by the whole body thermal sensation. Thus, the difference of comfort temperature between masks and no masks were not significant.

However, from Figs. Therefore, it is very necessary to control environmental parameters for human local thermal sensation and whole body thermal sensation.

The probability curves are shown in Fig. The preferred T op of the subjects without masks was Many previous investigations also found that the neutral temperature was higher than the preferred temperature [ 25 , [55] , [56] , [57] , [58] , [59] ]. However, in some previous investigations, the preferred temperature is equal to or higher than the neutral temperature [ 60 , 61 ]. For example, Tewari et al. Zheng et al. In addition, some previous investigations show that the regression method were used to analyze the subjects’ behavioral adaptation [ [62] , [63] , [64] ].

In hot summer and warm zoom, human have strong adaptability of hot thermal environment. In air-conditioned indoor thermal environment, the set temperature always lower than nature ventilation condition. The subjects were trained in cooler indoor thermal environment. Thus, the neutral comfort temperature was lower than preferred temperature.

As shown in Table 5 , the zone of acceptable T op according to PD was Contrastingly, the acceptable temperature zone obtained by PD was In addition, wearing a mask shifted the acceptable temperature and comfort temperature zones to a lower temperature.

The longer the duration for wearing masks, the wetter the face will be, thereby reducing the comfort of the human body. Wearing masks while traveling, and in work and study places has become a daily part of people’s lives [ 65 ]. The discomfort accompanied by wearing masks has also attracted attention [ [66] , [67] , [68] ]. In the study or work place, wearing a mask for a long time may lead to a certain degree of physical symptoms.

While wearing masks, people need a more comfortable environment to reduce the thermal discomfort caused by masks. Subsequently, people often remove their masks to alleviate their discomfort, which reduces work efficiency [ 68 , 69 ]. The inner layer of a mask that has been worn for a long time gets wet because of condensation of the water vapor generated by breathing and sweat evaporation [ 16 , 68 ].

People usually do not change masks regularly, and continue wearing the same mask for a long time, which affects both hygiene and comfort. This study found that people who wore masks preferred increased air velocity, especially to alleviate the discomfort on the head and face.

The mask, which is in direct contact with the head and face, not only hinders the evaporation and heat dissipation from the head and face but also breathing, which explains the large proportion of chest discomfort. Therefore, fever and redness on the face and dyspnea were the most prevalent symptoms that were reported after wearing a mask for a long time.

According to Fig. To analyze whether the regression equations of MTSV and T op obtained in this study were adaptive, we compared the results of this study with those of previous studies.

Table 6 summarizes the relationship between the MTSV and the thermal indices in summer. Different regression equations were obtained in different places, and the calculated neutral temperatures were also different.

In summer, for Guangdong, the neutral temperature of Guangzhou [ 56 , 70 ] differed from that of Shenzhen [ 55 ]. The neutral temperature in Shenzhen was The acceptable temperature range was In this study, the acceptable temperature range was This difference could be possibly because prefabricated site offices are mainly used for construction workers, and their heat resistance is greater than that of people working in regular offices [ 44 , 54 , 55 , [72] , [73] , [74] ].

A study in Shenzhen reported that as people wear more layers of clothes when the ambient temperature is low, which increases their thermal resistance, they adapt to a large temperature range [ 55 ]. Further, wearing masks lowered the neutral temperature value, and the acceptable and comfort temperature ranges shifted to the left. Therefore, the influence of humidity on thermal sensation was not analyzed in this study.

In addition, the instrument for measuring environmental parameters was placed at a height 1. We suggest that when filling in the questionnaire, the subjects only consider that the factor causing their discomfort is wearing masks. Of course, the causes of discomfort also include air quality and environmental parameters, which need to be considered in big data research and need to be paid attention to in future research.

Therefore, we could only make a general comparison based on the existing voting data to analyze the sensitivity of each body part to the thermal environment in the study area.

Additionally, we only analyzed the comfort of the Operative temperature as a whole without masks and with masks. In addition, subjects of different genders also have an impact on the value of thermal indicators [ 75 ]. In this experiment, female subjects are about twice as much as male subjects, so the neutral temperature and comfort temperature may be biased towards female needs.

In the summer of , a field test and a questionnaire survey were conducted in a university library in Guangzhou, China. By analyzing the perceived thermal sensations and the thermal index of each parameter under the different environmental conditions for subjects with and without masks, the following results were obtained:.

Tianwei Tang: Writing — original draft, Methodology, Data curation. Yongcheng Zhu: Formal analysis, Data curation. Zhisheng Guo: Investigation. Yudong Mao: Investigation. Huilin Jiang: Resources. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

The authors express gratitude to all the subjects who participated in the survey. Build Environ. Published online Feb Author information Article notes Copyright and License information Disclaimer. All rights reserved. Elsevier hereby grants permission to make all its COVIDrelated research that is available on the COVID resource centre – including this research content – immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source.

Literature review Personal medical masks typically consist of three layers with a melt-blown microfiber filter between two layers of spunbond fabric. Research objective In this investigation, the subjects were the students in Guangzhou University library, which is a public place with a high population density.

Determine the impact of wearing masks on the personal comfort of students in Guangzhou University Library. Establish different thermal comfort models under the conditions of wearing masks and not wearing masks.

Methods The methods of this study are as follows. Research environment The study was conducted in the Guangzhou University library Fig. Open in a separate window. Subjective survey and measurements A total of healthy college students males and females; detailed information is provided in Table 1 were randomly invited to participate in the survey. Table 1 Anthropometric data of subjects SD: standard deviation.

Table 2 Subjective vote scale. Table 3 Instruments used to measure the air temperature T a , relative humidity RH , globe temperature T g , air velocity V a.

Data processing Healthy subjects were selected to ensure the validity of the data, and incomplete questionnaires were excluded. Results 3. Thermal parameters The observations of the measured indoor thermal parameters T a , RH , V a , and T mrt measured are summarized in Table 4. Table 4 Indoor thermal parameters.

Effect of wearing masks on human comfort Among the questionnaires collected, questionnaires of subjects who wore masks were included. The time complexity is an important aspect that is to be analyzed. From the detailed discussion of the proposed approach, it can be noticed that the proposed approach can be viewed as a two-phase procedure where the watershed-based computation approach is used to determine the superpixel image from the underlying image in the first phase and the optimal segmented outcome is computed in the second phase.

The task of optimization is performed using the proposed fuzzy ACSO approach. The gradient information of an image is used to avoid the noise sensitivity of the water-shed based superpixel computation process. The watershed-based technique is a simple method to compute the superpixel and the implementation follows linear complexity [56]. It is quite inspiring and lucrative to adopt this approach on different occasions.

In the optimization part, the fuzzy objective function is optimized by using the proposed fuzzy ACSO method. The ACSO approach is an effective and efficient approach that can be executed in linear time [47]. So, the proposed approach is efficient enough and can be effectively used in various real-life problem-solving scenarios. This approach can effectively process high-quality images with the help of the proposed superpixel-based approach that is an essential quality for the real-life application of an image segmentation approach.

This approach removes the dependency of choice of the initial cluster centers as well as the ACSO approach determines the optimal cluster centers by optimizing some validity indices. These advantages motivate us to apply the proposed approach to automatically segment the radiological images that will be certainly helpful in diagnosing some symptoms of COVID The experimental outcomes show the efficiency of the proposed approach.

Under this pandemic environment, this work is designed hoping that it can help physicians and other domain experts to some extent in the early diagnosis of the disease. Early diagnosis can prevent the drastic spread of this highly infectious virus. Quantitative results do not have any direct implications in real-life diagnosis.

The segmented outcomes are useful in the diagnosis process. Physicians can investigate the segmented outcomes to find some prominent and common features as mentioned in Table 2.

The segmented images will be helpful in the easy interpretation of the radiological images. The proposed SUFACSO approach is an efficient image segmentation approach that can effectively segment the radiological images that highly useful in the easy interpretation of these images. There is a high possibility that a suspected patient can spread the disease in the community completely unwillingly.

The proposed approach can reduce this chance because an initial screening can be performed by the physicians comfortable with the help of the proposed SUFACSO approach.

It is worth mentioning here that the proposed approach is neither a replacement of the RT-PCR test nor it can confirm the presence of the virus accurately. However, this approach can be helpful in an initial screening at an early stage that will restrict the spread of this highly infectious virus by separating suspected patients from the rest of the community. The obtained results indicate that the proposed approach is suitable for real-life scenarios and also performs efficiently.

This approach can be easily adapted for the automated screening purposes of the COVID infected patients. It is assumed the quality of the CT scan images is considerably high and the performance of the proposed approach is not verified against the presence of noise.

It will be interesting to study the proposed approach in the presence of noise. The scalability of the proposed approach to different types of biomedical images can be explored in future studies.

Missing manual annotations can jeopardize the generalizability of the proposed work. On the other hand, the obtained results are quite promising and encouraging.

From the best of the knowledge of the authors, there is no publicly available manually annotated dataset for the chest CT scan images of the COVID positive cases. Although the proposed approach is efficient enough to segment the CT scan images automatically and produces realistic segmented outcomes still, some important drawbacks can be observed in this proposed approach that can be addressed in the subsequent works.

One important drawback of the proposed approach is that it cannot automatically determine the number of clusters and it can be overcome in future works. Automated estimation of the clusters can make this approach more realistic, robust, and application friendly. The proposed method can handle only a single objective at a time.

Therefore, the proposed approach is not suitable for multi-objective optimization issues unless enhanced further. The number of images in the dataset is not very large. So, the proposed approach can also be tested on some additional CT images of COVID infection as well as on some standard dataset of the biomedical images. It neither use any training dataset nor uses any pre-trained model.

The proposed approach can effectively segment the radiological images that are collected from different patients i. It is to be clarified that this approach cannot take any decision about the type of disease automatically.

For example, the proposed approach cannot automatically differentiate between COVID related lung images and other lung diseases.

This approach aims to help physicians in early and quick interpretation of the radiological images and diagnosis of the diseases without any manual delineations. This article proposes a novel, simple and elegant solution that uses some of the important features of the chest CT scan images to screen the COVID suspected patients easily and at an early phase which can be considered as an effective tool to reduce the drastic spread of this virus. From Fig. Both qualitative and quantitative study produces some satisfactory results which help to make the proposed approach trustworthy so that it can be reliably adapted in the real-world scenarios.

The proposed approach initially performs a superpixel-based clustering using the proposed superpixel computation method which significantly reduces the computational overhead for the further clustering process by reducing a large amount of spatial information. Therefore, radiological images can be conveniently explicated with the application of the proposed method and the proposed approach is also helpful in the easy interpretation of the radiological images.

The proposed work neither claims that the suggested approach is cent percent accurate in determining the COVID infection nor claims that it can be a replacement of the RT-PCR test but, the proposed method can help detect some common characteristics from the CT scan images, that can help to isolate some suspected patients from the rest of the community.

The proposed approach is helpful for the early screening of the COVID besides being a significant contribution to the image segmentation literature. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The authors would like to express their gratitude and thank the editors, anonymous reviewers, and referees for their valuable comments and suggestions which are helpful in further improvement of this research work.

The dedicated graphics memory is not utilized for any kind of processing purposes. The system in which the experiments are carried out is equipped with the Microsoft Windows 7 64 bit operating system.

It is not at all essential to use the Matlab environment to implement the proposed approach. We have chosen Matlab due to the availability of some inbuilt functions which are helpful to reduce the coding complexity.

Still, any other languages or platforms can be used to implement the same. It is assumed that there are no manual annotations available and the proposed approach is capable to process the images without having any prior knowledge. The final segmented images are constructed by assigning the superpixel to their corresponding cluster centers. These segmented images are helpful to interpret different features from these radiological images.

Appl Soft Comput. Published online Feb 3. Author information Article notes Copyright and License information Disclaimer. All rights reserved. Elsevier hereby grants permission to make all its COVIDrelated research that is available on the COVID resource centre – including this research content – immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source.

Abstract Due to the absence of any specialized drugs, the novel coronavirus disease or COVID is one of the biggest threats to mankind Although the RT-PCR test is the gold standard to confirm the presence of this virus, some radiological investigations find some important features from the CT scans of the chest region, which are helpful to identify the suspected COVID patients. Introduction Automated computer-aided systems prove their effectiveness and real-life applicability in various scenarios.

Table 1 Some of the related literatures and their brief overview. The calibrated source-to-background curves are used to determine the volume using the iterative thresholding procedure. One major drawback of the system is that it cannot effectively measure small volumes. Wiemker et. This work proposes a divergence theorem and histogram-based Ct image segmentation approach. This approach is can effectively and optimally isolate the lung nodules from the CT scan images.

In this context, the optimality is defined in terms of the mean gradient of the iso-surface and the sphericity. Asari et. This algorithm is consisting of two stages where the first stage employs a global thresholding approach and in the second phase, the differential region growing is used to extract the gastrointestinal lumen from the endoscopic images.

The dynamic hill-clustering approach is used to ascertain the effectiveness of the termination criteria and to look after the growth process. Yu-qian et. Traditional gradient-based edge detection approaches are susceptible to noise and therefore, this approach proposes a novel approach to detect edges of the lung CT scan images using mathematical morphology.

This approach is tested on the CT images which are corrupted with the salt-and-pepper noise and its efficiency is proved by comparing this approach with some of the other standard approaches. It is observed that this approach can efficiently reduce the effect of noise and also can generate precise edges.

Falcao et. This approach is highly dependent on the user intervention to efficiently determine the segmented regions and to define the objects. This approach is found to be 3 to 15 times faster compared to manual tracing. This approach can be applied almost independently to the applications. One main problem associated with this method is the difficulties associated with the choice of slabs and orthogonal slices which has a serious impact on the efficiency of this approach.

Pan et. The proposed approach addresses the problem of discontinuous edges and dependency on the initialization which are associated with the traditional edge detection approaches. In this work, the intensity of the gradient images is modeled as the concentration of the nutrients and the property of the bacteria Escherichia coli.

The edges are highlighted as the paths of the bacteria. Although this approach performs well and comparative study shows the effectiveness of the proposed approach still, one problem of this approach is not very robust to noise. Noise can lead to crumpled edges. This approach is not also suitable to handle overlapped cells. Ji et. Traditional fuzzy C-means clustering approach does not consider the spatial information and less robust to noise. This work proposes a modification which is known as the weighted image patch-based FCM.

In this work, pixels are replaced with the weighted patches which is helpful to incorporate spatial information in the segmentation process. It is helpful to increase the reliability of the overall segmentation process but it also increases the computational overhead drastically.

Agrawal et. This work proposes a novel hybrid approach which is based on the genetic algorithm and the bacterial foraging algorithm. The combination of these two approaches is used to optimize the objective function of the fuzzy c-means clustering. The final cluster centers are obtained using a method called optimum boundary point detection. This approach cannot determine the optimal number of clusters automatically and produces inaccurate results if the predefined clusters and the actual number of clusters differ.

This approach is based on intuitionistic fuzzy set theory and it is known as the intuitionistic fuzzy C means clustering. In this work, a novel objective function which is known as intuitionistic fuzzy entropy is incorporated with the traditional fuzzy C-means clustering. This approach is applied to different CT scan images to prove its efficiency.

Miao et. This approach can be divided into two phases where the first phase incorporates a dictionary learning method to handle the noise. In the second phase, this dictionary learning approach is hybridized with the Improved fuzzy c-means clustering approach. The proposed approach is not efficient for medical images with inhomogeneous intensity distribution. Open in a separate window. A brief overview of the artificial cell swarm optimization procedure This is a recently developed metaheuristic procedure that is inspired by the artificial cell division procedure.

The incorporated modifications are listed below [47] : i. The artificial cells are not depending on the current state to participate in the cell division process. Fuzzy C-means clustering based on type 2 fuzzy system The proposed approach adopts the type 2 fuzzy logic-based clustering approach to effectively model and handle the random uncertainties.

A point with higher uncertainty has a lesser impact on the overall clustering process and vice-versa. It helps to achieve more realistic results. Proposed method of superpixel computation The ever-growing technology allows us to increase the quality of the image acquisition hardware. Table 3 Details of the CT scan images under test. Proposed superpixel coupled fuzzy ACSO approach-based segmentation The conventional fuzzy C-means clustering approach often overlooks some important spatial information that can be costly in terms of the segmentation performance.

Dataset description CT scan images of the chest region are collected from the COVID positive patients from different geographic regions. Experimental results The experiments are performed in the MatLab Ra on a computer that is equipped with an Intel i3 processor and 4 GB main memory.

Table 4 Performance evaluation of different approaches using Davies—Bouldin index The highlighted values indicates acceptable values. Image Id Algorithm No. Table 5 Performance evaluation of different approaches using Xie—Beni index The highlighted values indicates acceptable values. Table 6 Performance evaluation of different approaches using Dunn index The highlighted values indicates acceptable values.

Table 8 Comparison of the proposed approach with the active contour method. Study of the convergence rate The rate of convergence is an important parameter to be studied. Analysis of the complexity The time complexity is an important aspect that is to be analyzed. Discussion 6. Threats to validity The obtained results indicate that the proposed approach is suitable for real-life scenarios and also performs efficiently. Limitations Although the proposed approach is efficient enough to segment the CT scan images automatically and produces realistic segmented outcomes still, some important drawbacks can be observed in this proposed approach that can be addressed in the subsequent works.

Conclusion This article proposes a novel, simple and elegant solution that uses some of the important features of the chest CT scan images to screen the COVID suspected patients easily and at an early phase which can be considered as an effective tool to reduce the drastic spread of this virus. Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments The authors would like to express their gratitude and thank the editors, anonymous reviewers, and referees for their valuable comments and suggestions which are helpful in further improvement of this research work. Software setup The system in which the experiments are carried out is equipped with the Microsoft Windows 7 64 bit operating system.

References 1. Kim T. Learning full pairwise affinities for spectral segmentation. IEEE Trans. Pattern Anal. Chakraborty S. In: Chakraborty S. IGI Global; An overview of biomedical image analysis from the deep learning perspective. Object Recognit. Motion Detect. Video Process. A study on different edge detection techniques in digital image processing; pp.

Libbrecht M. Machine learning applications in genetics and genomics. Tang C. IEEE Int. BIBE Interrelated two-way clustering: An unsupervised approach for gene expression data analysis; pp.

Networks can complement traditional descriptive and disproportionality analyses characterizing the complexity of spontaneous reporting data.

Frontiers in Pharmacology. Introduction: The spontaneous reporting system SRS has proven to be a cornerstone in the early and cost-effective detection of adverse drug reactions ADRs []. Electronic Health Records EHRs are relatively untapped sources of real-world information that can be used in order to facilitate signal detection in pharmacovigilance PV. However, utilizing the EHR for PV involves a number of critical challenges including the efficient extraction of valuable pieces of information from unstructured bulk of free-text.

Objective: To explore whether targeted searches in structured and unstructured fields in EHRs can be used as a method to detect possible cases in addition to spontaneous reports to strenghten a potential safety signal. Suspected ADRs refer to potential signals based on the analysis of spontaneous reports with insufficient evidence insight into a possible relationship between the ADR and the drug.

Per potential signal, a search with a validated text-mining software tool Ctcue was performed via combined queries on both structured and unstructured data [4]. In order to perform the process of case detection systematically, a step-by step search plan was developed and applied to each signal based on:. Results: The search retrieved 27 cases with flucloxacillin induced hypokalemia. After five confirmed cases via manual validation, no further validation was performed for the established ADRs.

For each suspected ADR potential signal , one validated case was detected. Conclusion: A targeted search on structured and unstructured fields in EHRs using text-mining can be used as a method to detect additional cases next to spontaneous reports for a potential safety signal. It is recommend to implement this as a complementary method in the current pharmacovigilance system.

Evaluation of FDA safety-related drug label changes in Pharmacoepidemiol Drug Saf ;22 3 — A description of signals during the first 18 months of the EMA pharmacovigilance risk assessment committee.

Drug Saf ;37 12 — Raine J. Risk management: a European Regulatory view. Clinical pharmacology and therapeutics, 3 , — Research has proven that when patients are admitted to hospital, there are often changes to medication regimens 2, 3. Further research is necessary to establish if pharmacists’ interventions on ensuring safety during patients’ healthcare journey from hospital admission to discharge, differs between MDS using patients and non-MDS using patients.

Objective: The aim of this study was to analyse hospital pharmacists’ interventions for patients’ healthcare journeys for MDS using and non-MDS using patients. The study took place over four months from 1st July to 31st October There were initially admission episodes included in the study, and for each adult patient their healthcare journey from hospital admission to discharge was analysed for interventions and workforce input.

Interventions were ranked using the validated Eadon Scale 4. Results: A total of patients’ healthcare journeys were analysed. Patients whom did not have complete healthcare journeys from hospital admission to discharge were excluded. These patients had either died, had been transferred to another hospital, or were still inpatients when the study ended. There were Of the total MDS using patient journeys, Of the total non-MDS using patient journeys, Conclusion: This study has identified that the use of MDS increase the burden to pharmacist workforce input.

It is evident from the findings, that interventions may be needed for the majority of MDS using patients. It has highlighted that more significant interventions, Eadon Scale 5, are more prevalent for MDS using patients in comparison to non-MDS using patients. Relationship of in-hospital medication modifications of elderly patients to postdischarge medications, adherence, and mortality.

Ann Pharmacother. Drug changes at the interface between primary and secondary care. Int J Clin Pharmacol Ther. Eadon H. Assessing the quality of ward pharmacists’ intervention. International Journal of Pharmacy Practice. Validation of a hospital clinical pharmacy workforce calculator: a methodology for pharmacy?

International Journal of Clinical Practice. Introduction: Hypertension is a serious disease that occurs when blood pressure is persistently elevated over time 1. During the COVID vaccination campaign, several reports of hypertension occurred in plausible temporal relationship with immunization have been reported.

Data have been extract on May 8th, All other reports have been defined as non-cases. All reports in which the suspected causative agent was a COVID vaccine were used as index reports and all other reports as reference. A meta-analysis of observational studies that includes , individuals reported 13, events of blood pressure abnormal or increased 2.

These events have been often described as short periods of hypertensive response and often observed in patients with risk factors. Conclusion: Our results confirmed a signal of risk of events of elevated blood pressure following immunization with COVID vaccines. However, there is no evidence that these episodes could result in serious complication typically associated with hypertension, such as stroke, aneurysms, heart failure, myocardial infarction and chronic kidney disease.

Introduction: Intravitreal drugs such as bevacizumab, ranibizumab, and aflibercept are widely used to treat a wide range of retinal diseases. Several studies suggest that repeated injections of these drugs may lead to a sustained rising of intraocular pressure increasing risk for glaucoma.

To date, a comparative safety study of these three drugs with respect to the incidence of glaucoma diagnosis has not been done. Objective: The objective of this study was to evaluate the risk of glaucoma diagnosis compared among new users of bevacizumab, ranibizumab, and aflibercept in Tuscany. Methods: A retrospective cohort study using the Tuscan regional administrative database was conducted. Subjects with a first intravitreal injection index date between January —June were identified and followed to the first occurrence of glaucoma diagnosis.

Patients with less than a five-year look-back period, those with less than one year of follow-up, and those with previous use of intravitreal dexamethasone, diagnosis of diabetes or glaucoma were excluded. We also excluded patients for whom we could not track the first injection to bevacizumab, ranibizumab or aflibercept. Glaucoma diagnosis was identified from exemptions, diagnosis in hospital discharge records or drug dispensations.

An intention-to-treat analysis was conducted to analyze risk of glaucoma diagnosis between the three drugs. A Cox model was constructed to compute hazard ratios adjusting for age, sex comorbidities, corticosteroid use and binocularity.

The risk of incident glaucoma diagnosis compared to aflibercept was significantly higher among non-anticoagulant users who had received ranibizumab HR 2. Among anticoagulant users no statistically significant difference was observed.

Moreover, we found an increase in the risk of glaucoma with ranibizumab and bevacizumab compared to aflibercept among non-anticoagulant users. A time dependent exposure analysis is ongoing to confirm these results. Introduction: A method of time-to-onset TTO signal detection for screening unexpected temporal patterns from vaccine spontaneous report data has been published in [1].

Due to the large number of spontaneous reports associated to covid vaccines, highly significant TTO signals could be detected whereas there are no clinically relevant unexpected temporal patterns.

Methods: The revised method used only the most predictive measure [3] of the two Kolmogorov-Smirnov KS tests originally designed: the p-value of the KS test of the TTO distribution of a given event post a given vaccine against the TTO distribution of the same event post other vaccines.

A threshold on the Kolmogorov-Smirnov distance, that can have values between 0 and for no difference between time-to-onset distributions and 1 for extreme differences—was set at 0. A threshold on the p-value of the KS test was set at 0. The Vaccine Adverse Event Reporting System was prospectively frozen every week of the first quarter and the revised TTO signal detection method was prospectively applied on the two covid vaccines.

The performance in detecting events that were posteriori determined as causally related to the exposure of the covid vaccines, namely Pericarditis and Myocarditis, was retrospectively assessed. Conclusion: The revised TTO method allowed early detection of unexpected TTO patterns post exposure to covid vaccines by controlling both the level of significance and the magnitude of difference between the TTO distributions in a context of mass vaccination where individual case review is challenging.

Van Holle L et al. Using time-to-onset for detecting safety signals in spontaneous reports of adverse events following immunization: a proof-of-concept study, PDS 21 6 , — Use of logistic regression to combine two causality criteria for signal detection in vaccine spontaneous report data, Drug Safety 37 12 , — With the fast-tracked development and concurrent introduction of vaccines in all countries, there is a need for equitable safety surveillance to monitor adverse events following immunization AEFIs in high-income and low- and middle-income countries LMICs.

Reports from females made up The highest number of reports came from persons 18—44 years. Sputnik V contributed the highest percentage of AEs per vaccine for Africa. Headache, pyrexia, injection site pain, dizziness, and chills were the top 5 reported AEs for Africa and RoW. Qualitative findings revealed decisions of many funding organizations to fund safety surveillance in LMICs were influenced by considerations about country priorities, the perceived utility of the evidence generated for local decision making, and the contributions to global health by safety surveillance systems.

Funding decisions by donor organizations were influenced by country priorities and the perceived value added by data generated from safety surveillance systems in LMICs to local and global decision making.

Coronavirus Vaccine Tracker. The New York Times [Internet]. Introduction: Therapeutic advances have reduced morbidity and mortality, but have led to an increase in adverse drug events ADE. This is a case-control type study, with the original information from the administrative data from the hospital information system of the public health system in Brazil-SIH-SUS, in the period from to After applying the exclusion criteria, , hospital admissions associated with at least one ADE were included in the study.

The proportion of patients with ADE in hospitalizations was 0. Drug poisoning and drug abuse are the adverse event classes most associated with increased risk of death. This study, confirm that the SIH-SUS is a robust source of data for the field of pharmacovigilance, enabling the identification of risk factors for death and facilitating the monitoring of ADEs in the hospital environment. Mortality among patients due to adverse drug reactions that occur following hospitalisation: a meta-analysis.

Prospective identification versus administrative coding of adverse drug reaction-related hospitalizations in the elderly: A comparative analysis. Pharmacoepidemiol Drug Saf. Evaluating adverse drug event reporting in administrative data from emergency departments: a validation study. Stausberg J, Hasford J. Drug-related admissions and hospital-acquired adverse drug events in Germany: a longitudinal analysis from to of ICDcoded routine data.

Introduction: Transplant recipients are chronically ill patients, who require lifelong drug therapies to prevent reject and graft loss.

To date, there is no consensus on the optimal immunosuppressive strategy []. Objective: The aim of the study was to assess the effectiveness and safety of maintenance immunosuppressive drug therapies in kidney transplant. Methods: A retrospective multicentre observational study, involving 4 Italian regions, was conducted based on the national transplant Information system and regional healthcare claims data.

Specifically, the regional analytical datasets regarding incident patients underwent to kidney transplant in the years —19 were created using an open-source tool for distributed analysis.

Results: Overall, 3, kidney recipients were considered, of which During a median follow-up period of 4. Among safety outcomes, serious infections had the highest incidence 9. Conclusion: In clinical practice, a significantly better benefit profile has been demonstrated for kidney recipients treated with TAC compared to CsA. In particular, the combination of TAC and mTOR appears to be the optimal strategy reducing the incidence of severe infections.

Our findings on long term risk-benefit profile of immunosuppressive therapy may be helpful to define the optimal drug therapy in kidney recipients. Comparison of tacrolimus and cyclosporine for immunosuppression after renal transplantation: An updated systematic review and meta-analysis. Saudi J Kidney Dis Transpl. Target of rapamycin inhibitors TOR-I; sirolimus and everolimus for primary immunosuppression in kidney transplant recipients. Cochrane Database Syst Rev.

Timing of mTORI usage and outcomes in kidney transplant recipients. Int J Med Sci. Published Jan 9. Due to the small sample size of pivotal trials in pediatrics, real-world evidence on the safety of those vaccines in the pediatric population is urgently required. Objective: i To investigate the safety of COVID vaccines by measuring frequencies of solicited and serious adverse events following immunization AEFIs with the first and the second doses of vaccines through active surveillance and, ii to compare the results with the published clinicaltrials in children and adolescents.

Of them, only Overall, Conclusion: This study confirmed safety profile of COVID vaccines in the pediatric population as already documented in the pivotal trials, with a high frequency of local solicited adverse events and an extremely low rate of serious adverse events. Introduction: Advances in the treatment of cancer in young patients have led to great improvements in life expectancy. However, treatment with chemo or radiotherapy causes reduction of sperm counts often to azoospermic levels that may persist for several years or be permanent.

Oligospermia or azoospermia and long-lasting testicular atrophy are common adverse consequences of cancer treatment 1. Cases of oligospermia and azoospermia were identified using MedDRA v No Dis-Rep was found for any of the 14 AA TKIs: acalabrutinib, axitinib, cabozantinib, dacomitinib, lenvatinib, neratinib, nintedanib, pazopanib, ponatinib, regorafenib, sorafenib, sunitinib, tivozanib and vandetanib.

The analysis in VigiBase database yielded similar results. Our results however, should be interpreted with caution as disproportionality analyses are hypothesis generating rather than hypothesis testing. Meistrich, M. Clinical drug investigation. Bate A, Evans S. Quantitative signal detection using spontaneous ADR reporting. A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions. Skin lightening products contain high concentrations of harmful ingredients such as hydroquinone, mercurials, and corticosteroids, and are reported to cause serious complications such as hyperpigmentation, exogenous ochronosis, wound dehiscence, nephropathy, steroid addiction syndrome, predisposition to infections, and other endocrinologic complications.

Despite all these public health risks, they have been used in many countries without regulation and consultation of healthcare professionals 3. Similarly, in Eritrea, there is uncontrolled marketing and use of SLAs even those with banned harmful ingredients. Objective: This study was conducted to assess the perception and utilization of SLAs among females of Asmara, the capital city of Eritrea.

Methods: A cross-sectional descriptive study was conducted in representative samples of all beauty salons available in Asmara between May and July The study participants were selected using two-stage stratified cluster sampling technique. The data collected through face-to-face interview was entered and analyzed using CSPro 7. Results: The study enrolled females.

The majority of the respondents agreed that SLAs can make someone white About two-third Of those who ever used SLAs, About half of the respondents With the use of SLAs, Employed females AOR: 1. Conclusion: Utilization of SLAs among females was prevalent.

They were satisfied with its use despite experiencing adverse effects which urges coordinated efforts in tightening the regulation of cosmetics in general and establishment of cosmetovigilance systems in particular. Widespread use of toxic skin lightening compounds: medical and psychosocial aspects.

Dermatologic Clinics, Afr Health Sci. The global prevalence and correlates of skin bleaching: a meta-analysis and meta-regression analysis. Int J Dermatol. Introduction: Drug therapy in paediatrics is often associated with uncertainties due to lack of data from clinical trials. Due to this off-label use, missing paediatric dosage forms and complex dose calculations, medication errors ME occur up to three times more frequently compared to adults [3].

Objective: The aim of the study was to investigate the nature, characteristics and preventability of drug-related hospital admissions in paediatrics. If parents had given consent for data transfer and further analysis, the suspected ADRs resp.

MEs were subsequently validated by a blinded, independent expert team [6]. All ADRs and MEs were assessed with regard to their nature, preventability, severity and drug association. Results: Of Consent for further analysis was obtained for 9. Allergic conditions, seizures incl. Treatment noncompliance, accidental exposure to product and dosing problems mainly underdosing were primarily identified as MEs in connection with the use of antiepileptic drugs, insulins and analogues and other beta-lactam-antibacterials.

Conclusion: Drug-related hospital admissions play a significant role in paediatrics. Moreover, almost half of them are considered preventable and therefore result in unnecessary harm and treatment costs. Dosing databases, training, and systematic screening for ADRs and MEs have great potential to increase the safety of drug therapy in children. Kimland, E. Odlind, Off-label drug use in pediatric patients.

Clin Pharmacol Ther, Magalhaes, J. Eur J Clin Pharmacol, Kaushal, R. JAMA, Smyth, R. PLoS One, Gallagher, R. Schulze, C. J Patient Saf, The lack of staff trained in PV is one of the most serious limiting factors affecting the development of PV in resource-constrained settings.

Previous experiences suggest that blending learning programmes can be implemented in resource-limited countries to train health care professionals HCP with remarkable gains in terms of knowledge acquisition. Methods: We developed the blended-courses integrated with a Train of Trainers scheme [1]. Two e-learning courses were made available on a web-based application, together with a manual on how to combine the e-learning courses together with face-to-face interactions. The blended course were given in Tanzania, Eswatini and Nigeria.

Results: In the three countries 95 participants were trained Table 1. All participants completed the two courses and the mean score of the post-test was significantly greater than on the pre-test Table 1. In the second level, the participants from the first training were training others. The majority of respondents to questionnaires have been satisfied, declared they felt more involved in PV and reported at least an ADR after the training both in the first and second level.

The trends of reporting increased in the twelve months after the training if compared to the previous twelve months: vs and vs ICSRs were reported to Vigibase for Tanzania and Eswatini National Agency respectively.

Conclusion: Our results demonstrated that a blended course can reach an important number of participants and improve their knowledge. It is difficult to establish how much of the increase of reports was attributed to the blended learning training. Alammary A. Blended learning models for introductory programming courses: a systematic review. Plos one. The views and opinions of authors expressed herein do not necessarily state or reflect those of EDCTP.

Introduction: Considering data from the literature in favor of active educational intervention to teach pharmacovigilance, we describe an innovative model of distance learning clinical reasoning sessions CRS of pharmacovigilance with 3rd year medical French students.

Objective: The three main objectives were to identify the elements necessary for the diagnosis of an adverse drug reaction, report an adverse drug reaction and perform drug causality assessment. Methods: The training was organized in 3 stages. First, students practiced clinical reasoning CRS by conducting fictive pharmacovigilance telehealth consultations. Second, students wrote a medical letter summarizing the telehealth consultation and analyzing the drug causality assessment.

This letter was sent to the teacher for a graded evaluation. In the third stage was a debriefing course with all the students. Results: Of the third-year medical students enrolled in this course, participated in the distance learning CRS. The evaluation received feedback from students, with an average score of 8. The qualitative evaluation had only positive feedback. The students appreciated the different format of the teaching, with the possibility to be active.

Conclusion: Through distance CRS of pharmacovigilance, medical students’ competences to identify and report adverse drug reactions were tested. The students experienced the pharmacovigilance skills necessary to detect adverse drug reactions in a manner directly relevant to patient care. The overall evaluation of the students is in favor of this type of method. Methods: This research used a qualitative inductive methodology through thematic analysis. The first step was to identify, through a literature review, current practices for herbal pharmacovigilance.

Based on the findings a semi-structured interview guide was designed, and purposive sampling was used to recruit the interview participants. By using a snowballing technique more potential participants were reached. Most of these recommendations are applicable worldwide, while some are limited to certain regions.

Tong, A. Consolidated criteria for reporting qualitative research COREQ : a item checklist for interviews and focus groups. International Journal for Quality in Health Care, 19 6 , — Introduction: Although medical cannabis MC has been available in Canada since , lack of recognition of MC as a drug has restricted patient access. The Quebec College of Physicians, between and , authorized MC use only within a research framework.

Follow-up ended due to either MC discontinuation, loss to follow-up, 3 years follow-up, or end of data collection May , 6 months after the last patient in. Data were collected at inclusion and at follow-up visits every 3 months for the first 2 years, then at least once per year in the third year.

MC mode of administration ingestion, inhalation, other , and cannabinoid content ratio tetrahydrocannabinol THC -dominant, cannabidiol CBD -dominant, or balanced were documented. Results: 2, patients were enrolled in the registry mean age Over follow-up, 3. Reports included a total of AEs average 1. The most common PTs were dizziness Conclusion: There were no new safety concerns identified in the Registry, although notable differences in AE profile between modes of administration and cannabinoid content ratios should be considered by health professionals.

Further work identifying and managing risk factors for AEs is warranted to maintain a favorable risk-benefit ratio for MC. Introduction: Dengue is one of top ten global health threats and is a serious burden in the Philippines. Dengvaxia immunization program was launched on April for children 9—year-olds in three regions with high statistics of dengue, hospitalization, and deaths. This was coincidentally the campaign period for national elections. Use of vaccine, once available, was part of a strategy to control epidemic.

Current measures were inadequate. What started as vaccine-vigilance information sparked a public outcry. This led to a series of parliamentary investigations, traditional and social media misinformation and disinformation vilifying the health decision makers and the company, and criminal charges filed against over 20 individuals by the state over alleged unproven vaccine caused deaths.

Despite attempts to correct these narratives by a few health professionals, the damage to institution, the program, the product, and individuals have been done. The consequences of such actions of emotional approach without understanding the science have resulted in creating general vaccine rejection, hesitancy, other outbreaks such as measles, lowered confidence even with recent COVID vaccines.

Objective: This abstract aim to describe the situation at that time in the Philippines and extract lessons that will inform better risk communications during crisis. Results: Some of the important lessons learned are in risk management and communications.

Adverse health product information should be announced with circumspect considering the level of health literacy and risk appreciation in a country. Partisan politics interfered with poorly understood science, fueled by imprudent comments by officials and health professionals who spoke out of turn, amplified by the media and created chaos.

The fear was so palpable that enlightened health professionals refused to provide countervailing facts. Reinstating the vaccine would be perceived as the government had back-pedaled on a mistake. In the meantime, the drama contributed to vaccination hesitancy and outbreaks. Conclusion: Public health decisions are policy and regulatory decisions anchored in ethical and utilitarian principles.

Edillo et al. Economic Cost and Burden of Dengue in the Philippines. Vannice, et al Mendoza, Dayrit, Valenzuela. Dengue researcher faces charges in vaccine fiasco.

Lasco et. Medical populism and immunisation programmes: Illustrative examples and consequences for public health. Trolleyology and the Dengue Vaccine Dilemma. Dayrit, Mendoza, Valenzuela The importance of effective risk communication and transparency: lessons from the dengue vaccine controversy in the Philippines. Dengue vaccination: a more balanced approach is needed. Introduction: Vaccines are vital tools to control epidemic and pandemic diseases, such as COVID, demonstrating safety and effectiveness.

However, rare adverse events of special interest AESIs following vaccination arise with every new emerging pathogen vaccine program. Adversomics, a set of technologies that measure the inventory of molecules e. The International Network of Special Immunization Services INSIS brings together vaccine safety, public health, and systems biology experts in middle- and high-income countries to investigate the causes of, and identify strategies to mitigate AESIs following vaccination insisvaccine.

Brighton Collaboration case definitions and harmonized protocols will be employed to collect detailed clinical data and serial blood samples suitable for adversomics e. Integration of clinical and biological data will enable comparisons of analyte levels and immune responses within groups over time and between cases and controls.

Global collaboration across five continents will ensure adequate sample size. Conclusion: INSIS-led studies will provide insight into pathways triggered in these AESIs and susceptible populations to inform vaccine development strategies to reduce the potential to trigger pathways involved in AESIs, risk-benefit assessment, and personalized vaccination strategies. Introduction: During the covid 19 period, several countries needed to set up or develop their pharmacovigilance systems, unfortunately containment and the closure of borders prevented the organisation of classic training sessions.

Objective: The objective of this work is to present the pharmacovigilance simulation game developed by CAPM, RCC and the results of its pilot use with pharmacovigilants from 10 French-speaking African countries.

The game is based on good practices in Pharmacovigilance PV , and inspired by the different WHO guidelines, the experience of the Moroccan PV center, and behaviors consensually considered as the norm in PV.

In fact, they are put in a real-life situation to choose actions and strategies for the development of a PV center and must be able to optimize the human and material resources at their disposal to make their center shine within their national health system but also at the level of the international PV network. Better understand the challenges and outlooks linked to the creation and management of a PV center.

Put into practice the theoretical concepts in causality assessment, signal detection and risk minimization actions.

During the game, within 10 levels, participants have to set up a PV center following WHO pharmacovigilance indicators: a practical manual for the assessment of pharmacovigilance systems as structural indicators, process indicators and outcome indicators, and following the pharmacovigilance process from collecting data, analyzing them, detecting signals, and setting up national technical pharmacovigilance committee to discuss about safety signals and risk minimization actions to put in place.

Conclusion: The use of the game by the pharmacovigilantes during the pilot phase gave good feedback on the ease of use and the effectiveness of the game in capacity building in pharmacovigilance. University of Huddersfield, Huddersfield, pp. Introduction: Pharmacovigilance has traditionally been a reactive science with a significant dependence on spontaneous adverse event reporting.

The pandemic on the other hand has accelerated application of novel technologies and approaches to engaging with the patient, remote connected care at their home and dependence on technologies to supplement regular communication channels.

Telemedicine is evolving rapidly and playing a key role in clinical interventions. Objective: Digital Health and novel technologies offer a significant opportunity to enhance pharmacovigilance thru proactive patient monitoring, risk communication, personalized care plans and access to real world data. Leveraging such approaches will not only lead to early detection of risks but also to personalized interventions and improved patient outcomes.

Educational material which is more interactive, visual and multi-dimensional can replace paper or text based risk communication material. This could provide early signal detection in individual patients and enable proactive patient level pharmacovigilance. Educational and risk related material can be dynamically updated based on patient preferences, interactions and profiles. Machine learning approaches which link material with outcome can enhance impact of pharmacovigilance methods and tools.

In order to utilize the full potential of such options it is critical that the regulatory framework is updated to enable such approaches which complement traditional PV and can drive efficiencies and higher effectiveness in the risk communication process.

Collaboration within the network of industry and regulators is essential to further such research and maximize the impact on value for patients, HCPs and sponsors. Introduction: Large amounts of data associated with safety issues are generated along the entire lifetime of drugs, from its infancy as preclinical leads, through its adolescence as clinical candidates, all the way up to its adulthood as marketed drugs exposed to the human population. Across the different stages in the life of a drug, some of the data collected initially may be confirmed and consolidated with data at an advanced stage, whereas other data may not be translated, and in some cases may even contradict, those safety signals that are ultimately observed in the human population.


 
 

Windows 10 1703 download iso italy covid vaccine.Updating to windows 10 creators fall edition – VMware Technology Network VMTN

 
Agrawal S. Lasco et. Results: Results on the validation of our approach to anticipating adverse drug reactions of safety concern to the population at the postmarketing stage based on i in vitro safety pharmacology data, ii preclinical toxicology data, iii clinical safety data and iv the first sample of 25 postmarketing spontaneous reports will be presented. Notes Bioinformatics Springer Verlag; Traditional gradient-based edge detection approaches are susceptible to noise and therefore, this approach proposes a novel approach to detect edges of the lung CT scan images using mathematical morphology. Poisoning severity and the need for hospitalization have also been investigated.

 

Windows 10 1703 download iso italy covid vaccine.Investigation of the effects of face masks on thermal comfort in Guangzhou, China

 

The new PMC design is here! Learn more about navigating our updated article layout. The PMC legacy view will also be available for a limited time. Federal government websites often end in. The site is secure. Wearing masks to study and work places has become a daily protective measure during the COVID dindows. In the summer ofenvironmental parameters were monitored, and students in a university library in Guangzhou, Sio, were surveyed to analyze the possible symptoms of wearing masks for a long time, and to assess the sensitivity of various body parts to the environmental parameters.

Concurrently, cocid preference of subjects wearing masks for various environmental читать далее was also analyzed.

Additionally, the relationship between thermal sensation and thermal index смотрите подробнее analyzed to identify acceptable and comfortable temperature ranges. The expected duration of wearing masks was counted. Subjects wearing masks had greater requirements for environmental comfort, and reported increased thermal discomfort of the face and head, compared to those without masks.

Among the subjects who experienced discomfort, Downloadd of environmental thermal sensation, including windows 10 1703 download iso italy covid vaccine, facial, dkwnload head thermal sensation, differed among subjects who wore and did dodnload wear masks.

Additionally, the acceptable and comfortable temperature zones differed between the two cases. The subjects who wore masks preferred colder temperatures. These findings indicated that the environmental parameters should be adjusted to improve the thermal comfort of the human body while wearing masks in work or covld places.

SARS-CoV-2 spreads through direct contact when a symptomatic person coughs, sneezes, speaks, or exhales [ vcacine[5][6] itzly. Windows 10 1703 download iso italy covid vaccine main symptoms of COVID are fever, fatigue, and dry cough, accompanied by nasal congestion, runny nose, and diarrhea in some patients [ 7 ].

The main measures for preventing infection are sanitization, ocvid, and wearing masks [ [8][9][10] ]. Masks have become essential commodities in the daily lives of people during traveling, working, and studying. Wearing masks in public eindows is the most effective and economical method to prevent human-to-human transmission of the virus and regulate the COVID outbreak [ 11 ]. Such a widespread use of masks, thus, necessitates the need to comprehensively investigate the impact of masks on human thermal comfort.

Personal medical masks typically consist of three layers with a melt-blown microfiber filter between two layers of spunbond fabric. The melt-blown layer acts as the main filter, preventing microorganisms from entering rownload leaving the mask. The outer non-woven fabric has the properties of liquid resistance and rejection of external droplets, and the inner non-woven fabric has the properties of skin affinity and moisture absorption [ 1213 ]. In manikin studies, medical masks were highly effective for both source control and primary prevention under tidal breathing and coughing conditions [ 1415 ].

Despite their acknowledged benefits for protection and insulation against toxins and viruses, using masks causes side effects as they induce a microclimate of high temperatures and thick humid air; additionally, wearing masks can lead to significant discomfort and breathing difficulties for most people [ 14 ].

Further, the air temperature in the mask has a significant impact on human thermal sensation [ 16 ]. Previous windows 10 1703 download iso italy covid vaccine on indoor thermal comfort [ [17][18]doqnload[20][21][22][23][24][25][26][27] ] without masks have been conducted.

Gabriel et al. Wang et al. Fang et al. These studies were conducted prior to the pandemic and hence, did not factor the effect of masks; however, since the pandemic was declared, wearing itaaly in public widows has become mandatory downlozd wear masks to prevent the COVID infection [ [28][29][30][31][32] ].

Therefore, further research is needed on human thermal comfort in public places where wearing vadcine is an essential requirement. In this investigation, the subjects were the students in Guangzhou University library, which is a public civid with a high population density.

The impact of students wearing masks on thermal comfort was significant, which italh affect their learning efficiency. Considering the effects of wearing a mask, thermal comfort can be improved by improving the indoor windws environment. Thus, the objectives of this study was pointed out, as follows. The methods of this study are as follows. Second, the indoor thermal comfort index was calculated, neutral temperature was determined using linear regression, while preferred temperature was determined using probit regression.

Finally, the acceptable and comfort temperatures were determined by analyzing the perception data and the thermal comfort results. The results of this study can assist in improving the comfort levels of students by adjusting the T op and can subsequently be used on a large-scale in other public places.

The study was conducted in the Guangzhou University library Fig. The vacclne has five floors, among which the first floor was the archival room. Students primarily use the third and fourth floors for self-study. The fifth floor is also used by few students, but because of the transparent roof, the ambient temperature of this floor is generally higher than that of the lower floors. To expand the temperature range observed in the study, third, fourth, and fifth floors were ссылка на продолжение for further investigation.

The study period was June As gaccine in Fig. Therefore, most people feel uncomfortable in outdoor environments during this month. Этом windows 10 download iso bagas31 забыл daily air temperature variation range and daily average relative humidity in Guangzhou in June A total of healthy читать далее students males and females; detailed information is provided in Table 1 were randomly invited to participate in the survey.

The field survey were conducted in accordance with vacciine ethical standards of the Declaration of Helsinki, and informed consents were obtained from all participants.

When they agreed, their health status needs to been record, including having a fever, cough, sore throat, or chronic disease et al. And then, the participants start to answer the questionnaires. In this investigation, the subjects were all of health students. Before they answered the questionnaire, they need to indicate their heath condition, except any discomfort for windows 10 1703 download iso italy covid vaccine.

Meanwhile we suggest that when filling in the questionnaire, the subjects only consider that the factor causing their discomfort is wearing masks. In addition, all of the subjects were isso windows 10 1703 download iso italy covid vaccine keep to seat in library exceeding half hour. Liu et al. Huizenga et al.

Меня gta 5 free download windows 10 free ответы other previous studies [ [35][36][37] ], 20—30 min of experimental preparation time was also adopted. Therefore, this study was conducted on these basis to ensure that the subjects were in thermal equilibrium qindows had not just entered the library. The filling time of each questionnaire windows 10 1703 download iso italy covid vaccine 3—4 min. The fluctuation range of temperature and humidity in the library were small.

Thus, the measurement and field survey were reasonable. The testing subjects were presented in Fig. Is average age of the subjects was They were wearing short sleeved T-shirts 0. The average total clothing insulation Icl was 0. A written, self-completed questionnaire, consisting of two parts, was used to survey the participants.

The second part investigated whether students wore masks, whether they experienced any symptoms of discomfort, and assessed the duration of wearing masks. According to the ISO guidelines [ 41 ], test instruments described in Section 2. In many indoor thermal comfort studies [ [42][43][44][45][46] ], the height of the instrument were chose at the level of 1.

When the human body is sitting still, the height of the head or face is about 1. These parts can be in direct contact with the environment for heat exchange. The sensitivity of the head and vafcine is relatively strong [ [47][48][49]windows 10 1703 download iso italy covid vaccine[51][52] ]. Thus, in this field survey, the height of the instrument was set at level of 1. A standard globe thermometer with windows 10 1703 download iso italy covid vaccine diameter D of 0.

The mean vacfine temperature T mrt was calculated using Eq. Instruments used to measure the air temperature T arelative humidity RHglobe temperature T gair velocity V a. Healthy subjects were selected to ensure the validity of the data, and incomplete questionnaires were excluded. Linear regression and logistic regression were used to analyze the relationship between the environmental parameters ppt templates free for education – templates free download the responses to the subjective questionnaire.

The observations of the measured indoor thermal parameters T aRHV aand T mrt measured are summarized in Table 4. The minimum RH of the air in the library reached The distribution of environmental parameters in the library is shown in Fig. T op in the library was mostly Owing to the influence of solar radiation, the fifth floor widows the library showed ссылка highest temperature.

The proportion of indoor V a less than 0. Distribution of indoor environmental parameters in the library: a T op ; iatly RH ; and c V a. Among the questionnaires collected, questionnaires of subjects who wore masks were downlooad. Among them, The voting distribution for discomfort regarding each body part is shown in Fig. The proportion of facial discomfort was the largest The proportions of head and chest discomfort were Wearing masks windows 10 1703 download iso italy covid vaccine a long time may cause headache, dyspnea, and other symptoms; therefore, the proportions of discomfort due to these two symptoms would increase over time.

Some subjects who wore masks for a long downooad experienced rapid heartbeat 9. Percentages of participants who voted that they experienced discomfort in various body parts. A greater proportion of subjects with masks preferred a higher air velocity than that of subjects without wearing masks.


 
 

1. Introduction – Windows 10 1703 download iso italy covid vaccine

 
 
The proposed approach adopts the type 2 fuzzy logic-based clustering approach to effectively model and handle the random uncertainties. It was performed at five departments of children hospital of rabat in Morocco : Neonatal intensive care, General intensive care, Hemato-oncology, Respiratory and Infectious Diseases, endocrinology and metabolic diseases departments.