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      Does temperature matter for COVID-19 transmissibility? Evidence across Pakistani provinces

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          Abstract

          The outbreak of novel coronavirus (COVID-19) has become a global concern that is deteriorating environmental quality and damaging human health. Though some researchers have investigated the linkage between temperature and COVID-19 transmissibility across different geographical locations and over time, yet these studies are scarce. This study aims to bridge this gap using daily temperature and COVID-19 cases (transmissibility) by employing grey incidence analysis (GIA) models (i.e., Deng’s grey incidence analysis (DGIA), the absolute degree GIA (ADGIA), the second synthetic degree GIA (SSDGIA), the conservative (maximin) model) and correlation analysis. Data on temperature are accessed from the NASA database, while the data on COVID-19 cases are collected from the official website of the government of Pakistan. Empirical results reveal the existence of linkages between temperature and COVID-19 in all Pakistani provinces. These linkages vary from a relatively stronger to a relatively weaker linkage. Based on calculated weights, the strength of linkages is ranked across provinces as follows: Gilgit Baltistan (0.715301) > Baluchistan (0.675091) > Khyber Pakhtunkhwa (0.619893) > Punjab (0.619286) > Sindh (0.601736). The disparity in the strength of linkage among provinces is explained by the discrepancy in the intensity of temperature. Besides, the diagrammatic correlation analysis shows that temperature is inversely linked to COVID-19 cases (per million persons) over time, implying that low temperatures are associated with high COVID-19 transmissibility and vice versa. This study is among the first of its kind to consider the linkages between temperature and COVID-19 transmissibility for a tropical climate country (Pakistan) using the advanced GIA models. Research findings provide an up-to-date glimpse of the outbreak and emphasize the need to raise public awareness about the devastating impacts of the COVID-19. The educational syllabus should provide information on the causes, signs, and precautions of the pandemic. Additionally, individuals should practice handwashing, social distancing, personal hygiene, mask-wearing, and the use of hand sanitizers to ensure a secure and supportive atmosphere for preventing and controlling the current pandemic.

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          Most cited references81

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          The psychological impact of the COVID-19 epidemic on college students in China

          Highlights • Methods of guiding students to effectively and appropriately regulate their emotions during public health emergencies and avoid losses caused by crisis events have become an urgent problem for colleges and universities. Therefore, we investigated and analyzed the mental health status of college students during the epidemic for the following purposes. (1) To evaluate the mental situation of college students during the epidemic; (2) to provide a theoretical basis for psychological interventions with college students; and (3) to provide a basis for the promulgation of national and governmental policies.
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            Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China

            Meteorological parameters are the important factors influencing the infectious diseases such as severe acute respiratory syndrome (SARS) and influenza. This study aims to explore the association between Corona Virus Disease 2019 (COVID-19) deaths and weather parameters. In this study, we collected the daily death numbers of COVID-19, meteorological parameters and air pollutant data from 20 January 2020 to 29 February 2020 in Wuhan, China. Generalized additive model was applied to explore the effect of temperature, humidity and diurnal temperature range on the daily death counts of COVID-19. There were 2299 COVID-19 death counts in Wuhan during the study period. A positive association with COVID-19 daily death counts was observed for diurnal temperature range (r = 0.44), but negative association for relative humidity (r = −0.32). In addition, one unit increase in diurnal temperature range was only associated with a 2.92% (95% CI: 0.61%, 5.28%) increase in COVID-19 deaths in lag 3. However, both 1 unit increase of temperature and absolute humidity were related to the decreased COVID-19 death in lag 3 and lag 5, with the greatest decrease both in lag 3 [−7.50% (95% CI: −10.99%, −3.88%) and −11.41% (95% CI: −19.68%, −2.29%)]. In summary, this study suggests the temperature variation and humidity may also be important factors affecting the COVID-19 mortality.
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              The Psychological Impact of Epidemic and Pandemic Outbreaks on Healthcare Workers: Rapid Review of the Evidence

              Purpose of Review We aim to provide quantitative evidence on the psychological impact of epidemic/pandemic outbreaks (i.e., SARS, MERS, COVID-19, ebola, and influenza A) on healthcare workers (HCWs). Recent Findings Forty-four studies are included in this review. Between 11 and 73.4% of HCWs, mainly including physicians, nurses, and auxiliary staff, reported post-traumatic stress symptoms during outbreaks, with symptoms lasting after 1–3 years in 10–40%. Depressive symptoms are reported in 27.5–50.7%, insomnia symptoms in 34–36.1%, and severe anxiety symptoms in 45%. General psychiatric symptoms during outbreaks have a range comprised between 17.3 and 75.3%; high levels of stress related to working are reported in 18.1 to 80.1%. Several individual and work-related features can be considered risk or protective factors, such as personality characteristics, the level of exposure to affected patients, and organizational support. Summary Empirical evidence underlines the need to address the detrimental effects of epidemic/pandemic outbreaks on HCWs’ mental health. Recommendations should include the assessment and promotion of coping strategies and resilience, special attention to frontline HCWs, provision of adequate protective supplies, and organization of online support services. Electronic supplementary material The online version of this article (10.1007/s11920-020-01166-z) contains supplementary material, which is available to authorized users.
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                Author and article information

                Contributors
                irfansahar@bit.edu.cn
                mikram@szu.edu.cn
                munirahmad@zju.edu.cn
                haitao.kungfuer@gmail.com
                haoyuking@bit.edu.cn
                Journal
                Environ Sci Pollut Res Int
                Environ Sci Pollut Res Int
                Environmental Science and Pollution Research International
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0944-1344
                1614-7499
                18 June 2021
                : 1-15
                Affiliations
                [1 ]GRID grid.43555.32, ISNI 0000 0000 8841 6246, School of Management and Economics, , Beijing Institute of Technology, ; Beijing, 100081 China
                [2 ]GRID grid.43555.32, ISNI 0000 0000 8841 6246, Center for Energy and Environmental Policy Research, , Beijing Institute of Technology, ; Beijing, 100081 China
                [3 ]GRID grid.263488.3, ISNI 0000 0001 0472 9649, Research Institute of Business Analytics and Supply Chain Management, College of Management, , Shenzhen University, ; Shenzhen, China
                [4 ]GRID grid.13402.34, ISNI 0000 0004 1759 700X, School of Economics, , Zhejiang University, ; Hangzhou, 310058 China
                [5 ]Beijing Key Lab of Energy Economics and Environmental Management, Beijing, 100081 China
                [6 ]Sustainable Development Research Institute for Economy and Society of Beijing, Beijing, 100081 China
                [7 ]Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, 100081 China
                Author notes

                Responsible Editor: Lotfi Aleya

                Author information
                https://orcid.org/0000-0003-1446-583X
                http://orcid.org/0000-0003-2656-9302
                https://orcid.org/0000-0002-4376-8410
                https://orcid.org/0000-0002-5592-7212
                https://orcid.org/0000-0001-8394-4215
                Article
                14875
                10.1007/s11356-021-14875-6
                8211721
                94728498-e885-4175-babb-3e5e59c3eb70
                © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 13 March 2021
                : 9 June 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 71761137001, 71403015, 71521002
                Award Recipient :
                Funded by: Beijing Natural Science Foundation
                Award ID: 9162013
                Award Recipient :
                Funded by: the key research program of the Beijing Social Science Foundation
                Award ID: 17JDYJA009
                Award Recipient :
                Funded by: National Key Research and Development Program of China
                Award ID: 2016YFA0602801, 2016YFA0602603
                Award Recipient :
                Categories
                Research Article

                General environmental science
                public health,temperature,covid-19,transmissibility,grey incidence analysis models,pakistan

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