Volume 10, Issue 3 (July-Sep 2021)                   JCHR 2021, 10(3): 270-280 | Back to browse issues page


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Heyari A, Fallah-aliabadi S, Habibi P. Effect of ambient temperature on spread of COVID-19: A Systematic Review. JCHR 2021; 10 (3) :270-280
URL: http://jhr.ssu.ac.ir/article-1-638-en.html
1- Department of Health in Disaster and Emergencies, School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran
2- Department of Health in Emergencies and Disasters, School of Public Health, Shahid Sadoughi University of Medical Science, Yazd, Iran Environmental Science and Technology Research Center, Department of Environmental Health Engineering, Shahid , sd.fallah@gmail.com
3- Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
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Introduction: So far, the so many people has been infected by novel coronavirus (SARS-CoV-2) in the worldwide and almost all the countries have reported infected and death cases. Some studies have shown that coronaviruses are sensitive to air temperature and in warm temperature the rate of spread decreases. This study aimed to review the literature whether or not the temperature can affect the spread rate of COVID-19.  
Methods: In this study, three main scientific electronic databases, including Scopus, PubMed, Web of Science and also Scholar Google were searched on April 14, 2020 to find relevant studies on COVID-19 and its spread in different ambient temperature.
Results: Totally 588 articles were found for screening and 27 articles were selected for data extraction. The result of some of these studies showed that weather variations can affect transmission of coronavirus. Low temperature and low humidity may be essential factors for survival of coronaviruses. A temperature of 4°C is ideal for the life of this virus and it may be sensitive to 70°C temperature. The increase in temperature of stainless steel, wood, fabrics, and metal can eliminate and remove coronaviruses according to the findings of some of these reviewed articles.
Conclusion: This review study failed to precisely report the effect of temperature or humidity to stop the virus from spreading and transmitting. It is required to conduct more studies in this regard to introduce the exact pattern of transmission by examining the conditions of virus transmission in different climatic conditions.
 
Keywords: Systematic Review; Coronavirus; Temperature, Environmental
Introduction

Since December 2019, the first outbreak of COVID-19 reported in Wuhan city(1). According to the World Health Organization (WHO) reports, on 24th march 2020, the total globally confirmed cases were 372757 and the total confirmed deaths were 16,231 and 195 countries were infected, causing global negative effects  (2). Given that this coronavirus is highly contagious and its diagnosis, prevention, and control is a great challenge .  The death number because of COVID-19 was reported to be unbalanced in different countries (3, 4). The pattern of outbreak of many viral infectious diseases has been affected by change in environmental patterns (5). Some studies on environmental subjects, such as climatic and weather condition, have found that climatical factors can affect the space and time correlations of viral diseases (6). The humidity and air temperature are important indicators in spread of influenza outbreaks in tropical countries (7). Environmental factors are often defined based on air temperature. Moreover, relative humidity, radiation, pressure at ground level, wind speed, snowfall and rain amount are the basic environmental and climatical variables that can affect the outbreak of COVID-19 in different places (8, 9). Finfing the correlation of metrological factors and the spread of COVID-19 is a key issue to predict the outbreak and the end time of epidemic (10). Some previous researches have been studied to find the relationship
between environmental conditions and coronavirus epidemics. For instance, a study confirmed that the severe acute respiratory syndrome )SARS( outbreaks had a significant inverse association with temperature and its variations (11, 12). According to the similarity of SARS (13) and COVID-19, it has pointed out that high temperature will weaken the activity of SARS-COV-2 (14). Although many researches have been done on investigating the role of environmental indicators on outbreak of coronaviruses, limited studies have been done to investigate the effect of temperature and humidity on COVID-19. Therefore, the aim of this study is to identify and quantify the relationship between environmental factors and 2019-nCOV spread through a systematic review.
Methods
Bibliography search strategy
This systematic review study was performed based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (15) (16).
Three main databases including PubMed, Scopus, Web of Science, were searched for articles published from 2019 to April 14, 2020. Also Google Scholar has been searched by hand-searching. All the search terms related to the ‘COVID-19’ were found by the PubMed Mesh system, as well as an expert’s opinion on synonyms of key-words in combination with "temperature". The search strategy was developed by keywords and their synonyms and were searched in title, abstract, or keyword fields in scientific databases. Also, to find more relevant documents the reference lists of the included documents were investigated by hand-searching. The following search strategy were used to find the relevant documents in databases:
PubMed: (coronavirus[tiab] OR covid*[tiab] OR 2019-nCoV[tiab] OR COVID-19[tiab]) AND (weather*[tiab] OR temperature*[tiab] OR heat*[tiab] OR hot[tiab] OR warm*[tiab] OR cold[tiab] OR heat*[tiab])
Eligibility criteria
The “PICO” strategy for systematic exploratory review was: P (individuals), I (temperature), C (COVID-19), and O (COVID-19 outbreak).
The inclusion criteria of the articles included if they (a) were peer review articles; (b) were conducted on environmental factors; (c) were about the COVID-19; (d) were about the impacts of temperature on COVID-19; (e) consisted of comparison of outbreak among countries or regions.
The exclusion criteria of the articles included if (a) they were about mortality and morbidity because of SARS, Middle East Respiratory Syndrome (MERS), and influenza; (b) they were concluded based on SARS, MERS, and influenza findings; (c) they were published before December, 2019; (e) full-text articles or conference papers were not available.
Study selection
All of the founded documents were exported to EndNote sprograme, then the duplicated documents were identified and removed. One of researchers (PH) screened the documents according to their title and abstract, and study selection and data extraction were conducted by two investigators (AH and PH) from the eligible studies independently by reviewing the full-text. The disagreement between the two investigators on inclusion and exclusion of studies was resolved by the research team consensus.
Data extraction and quality assessment
After conducting screening, two checklists were applied for the data extraction. The first checklist consisted of the included articles information, including the first author name, publication year, document type, the methodology, objective, and quality score. The second checklist was used in order to gather the findings. The methodological quality assessment of the included studies was prepared using a researchers-made checklist. The quality assessment of the included studies was done by two independent reviewers (SF and AH) using a 16-items, quality appraisal checklist (QATSDD). This checklist shows a good reliability and validity in the quality assessment of studies diversity (17). Any disagreement between reviewers was resolved by the research group consensus.
Results
Search Results
The process of screening and selection of identified researches presented in Figure 1. 589 documents were found through electronic search resulted.




Descriptive statistics
Finally, 27 eligible and relevant studies out of 588 studies were identified for data extraction, which presented weather variations, including air temperature, relative humidity, precipitation, wind speed, and infrared radiation, as well as type of transmissibility of the coronavirus. The results of these studies showed that weather variations affected coronavirus.  From the data abstraction undertaken based on the adopted keywords; 27 selected studies were grouped into major theme parameters. They include environmental factors and the effect of these variables on the spread and transmission of COVID-19 among population and the ways to prevent it. Climatic conditions refer to a set of conditions distinguishing a large area from another. In each climate, there are specific geographical conditions in that area, including the distance above sea level and longitude and latitude, which can cause particular climatic conditions. The humid area is the area that wet bulb temperature higher than 28 ℃ is a minimum temperature that can cool the air at constant pressure by evaporating water. There are different climatic conditions throughout the world, including warm-dry, warm-semi humid, hot-humid, mild-dry, and mild-humid.
Relationship between the spread of COVID-19 and environmental factors
Surveying the extracted articles through the current systematic review, different approaches were found to examine the relationship between the number of patients infected with the coronavirus and environmental conditions. In these studies, it was mentioned that  COVID-19 is likely to increase through human exposure and also, sometimes cold weather due to the effect of this virus on the respiratory system (32). Exposure to cold environment can induce hormonal changes, which might directly or indirectly alter the immune system (18). As shown in some of the extracted articles, there was a significant relationship between the confirmed cases of COVID-19 and ambient temperature (18, 21, 26, 29, 31, 36, 38, 41, 42). Oliveiros et al. and Ficetola et al. stated that with the onset of warm seasons, such as spring and summer, the progression rate of COVID-19 is expected to be slower. Warm seasons results in higher temperature and more hot days; therefore, it is expected to see the mortality of the confirmed and severe cases would averagely decrease (23, 42). Also, the results showed that continuous warm-dry weather, such as the temperature range from 13°C to 19°C and relative humidity from 50% to 80% are suitable for the survival and transmission of this new coronavirus, and this climatic condition is conducive to the survival of the 2019-nCoV (23). However, Anis  confirmed that the appropriate average temperature for virus activity and transmission ranges between 13°C to 24 °C (39).
 Mao et al. showed that the virus is highly sensitive to high temperature; since it prevents the virus spreading and strongly affects the transmission of the disease. In general, the transmission and survival of coronaviruses has been affected in low temperature and low humidity . It has been indicated that the recent temperature drop in China might pose important effect on possible reversal of the epidemic. Every 1℃ increase in the minimum temperature decreased the number of cases, and there was a significant correlation between temperature and the transmission of COVID-19 (p<0.0001)(24). Zhu and Xie stated that the relationship between mean temperature and COVID-19 in the confirmed cases was approximately linear in the range of lower than 3 °C and became flat above 3 °C. When mean temperature was below 3 °C, each 1 °C rise was associated with a 4.861%  increase in the daily number of the COVID-19 confirmed cases (26).
 In some studies, the effect of humidity has been investigated on virus growth or transmission (19, 21-23, 29, 37, 38, 41). In the study conducted by Wang et al. the results showed that, relative humidity can significantly affect the spread of COVID-19. In warm and humid environments (28 °C and 85% RH), humidity and heat caused a reduction in the coronavirus transmission among the population with different hot-humid climatic conditions. Death and infection of the patients in human or human-to-human transmission have been attributed to low radiant and air temperatures, as well as relative humidity (19). However, in a study, Tosepu et al. mentioned no evidence for the relationship between humidity and rainfall amount with COVID-19 pandemic (27).
Chin et al. reported that the virus is highly stable at 4°C; however, it is sensitive to heat and when the temperature increases to 70°C, the time for the virus inactivation reduces to 5 minutes (33). The increase in air temperature can eliminate and remove these coronaviruses survived for a shorter time on different surfaces, such as stainless steel, wood, fabrics, and metal (23).
The results of the study conducted by Al-Rousan et al. showed that the short wave radiation and temperature were the most effective variables, and the confirmed cases were mostly affected by weather variables. The level of radiation and its wavelength or the spectral content received by the virus affects the radiation intensityIn addition to this effective factor, there are other 8 environmental variables considered in this study, including air temperature, relative humidity, pressure at ground level, wind speed, wind direction, rainfall rate, snowfall rate, and snow depth (9).
In some studies the relationship between environmental conditions and the epidemic has been declined or questioned (25, 30, 40). A study concluded that there is no significant relationship between absolute humidity and COVID-19;  however, lower and higher temperatures may decrease the COVID-19 spread (7). Therefore, in countries and regions around the world where the COVID-19 can spread , the government and organizations should adopt the strictest control measures to prevent future reversal (24, 34). The lack of data about the virus behavior is a reason that makes it difficult to predict the relationship between seasonal patterns and climatic conditions (14). Also, conducting more research studies in future may solve the problem and determine the hidden aspects of the subject (32)
Discussion
Since late 2019, the new coronavirus has been identified in China, and gradually has spread to most countries around the world, killing many people. The virus transmits by contacting with an infected person or touching infected surfaces. In the present study, scientific articles that stated the effect of climatic variables on the growth and spread of coronavirus were introduced and the relationship between these variables and this type of virus were investigated. As mentioned in result section, a number of articles have examined the relationship between environmental factors and the rate of infection and mortality. Investigating the articles showed that environmental variables, such as temperature, relative humidity, and wind affect the behavior of the virus. However, the effect of a particular temperature or humidity has not been proven compared to other factors, such as methods of prevention and treatment (25, 29, 35, 43). Therefore, it is necessary to examine different data from different countries with various climatic conditions or study accurate laboratory analysis of the virus behavior. These analyses may be published in future research articles, and it is necessary to conduct another systematic review with new studies. The research studies that definitively explain the effect of air temperature or humidity on virus behavior will be useful and can be a good guide for preventive measures and give communities hope that at certain temperatures the reproduction or transferring of the virus will decrease. The studies conducted before the onset of COVID-19 pandemic, were performed on behavior of coronaviruses in different climatic conditions (11, 12, 44-50). For example, a study on MERS using case-crossover showed that cold and dry weather conditions affect the behavior of the virus (44). However, the results of previous studies on viruses and diseases, such as MERS or influenza cannot be generalized to the new coronavirus. The results of a study showed that the new coronavirus would better respond to the rising temperature rather than SARS and would be easier to control (29). Bu et al. stated that temperatures between 13 and 19 degrees Celsius and humidity between 50% and 80% provide favorable conditions for virus transmission. Although, this conclusion is based on the conditions of SARS, it has also been extended to the new coronavirus (8). Simmering at al. also reported that in some diseases, such as Community-acquired Pneumonia, higher humidity causes the virus to spread further (49). Limited studies have definitively linked the relationship between temperature and humidity with the virus condition (21, 30, 32, 34). Luo et al. found that temperature and humidity particularly do not affect the virus behavior, and also other factors affecting the growth and spread of the virus. The paper notes that the disease occurred in provinces with different climatic conditions in China, indicating that the virus does not spread at specific climatic conditions (21). However, Poirier, Cai, Bannister, and Zhu indicated that there is no significant relationship between temperature and the number of patients (22, 26, 31, 43). Oliveiros et al. also stated that the portion of temperature and humidity  affect only 18% in reducing virus transmission and believed that public health policies, population density, transportation status, and cultural conditions have the main role in reducing virus transmission (23). Wang et al. pointed to the role of temperature in reducing or increasing the spread of coronavirus and believed that lower temperature provides a favorable environment for the virus to grow and spread (24).  Wang et al. also reported that one-degree increase in temperature and one percent increase in humidity are effective in reducing the virus transmission.  Moreover, the arrival of summer and raining has been considered to be an effective factor in reducing the transmission of the virus (19). However, Zhu and Xie indicated that each 1 °C rise in temperature, accompanies  with a 4.861%  increase in the daily number of the COVID-19 confirmed cases (26). Bannister-Tyrrell also stated that there is a negative correlation between the predicted number of cases with temperature from 1°C and above (31).
AL Rousan et al. and Moghadami et al. predicted the status of the virus in the future through modeling (9, 28). Some other studies highlighted the unknown nature of the virus, and emphasized the importance of applying preventive measures by local and international governments and communities (34-37). In another study, the effect of temperature on the human immune system was examined; however, this factor should have been considered along with other effective variables, such as age, sex, chronic disease, and etc. (51).
Limitations
Lack of studies to use their different models to estimate the expected number of infected cases and mortalities by using different policies.  In the current study, reputable databases were searched; however, eventually some of the articles found in the three main databases were removed from the study, and the included studies selected were more from Google Scholar. Furthermore, given that a short time has passed since the outbreak of coronavirus, it is required to conduct a systematic review with more studies in future.
Conclusion
The present study sought to determine the relationship between climatic variables with the survival and spread of the new coronavirus. Therefore, the published and related articles were systematically reviewed, and after reviewing the articles resulting from searching the scientific databases, a few articles were obtained. These articles aimed to find a precise link between the virus and climatic variables, but failed to report a specific temperature or humidity to stop the virus from spreading and transmitting the virus. Given the short time that has passed since the outbreak of the coronavirus worldwide, it is required to conduct more studies in this regard to introduce the exact pattern of transmission by examining the conditions of virus transmission in different climatic conditions.
Conflict of interest
None declared.
Authors' contribution
SF and AH conceptualized and designed the study, AH and PH carried out screening and extracting the data and prepared the manuscript. SF carried out quality assessment as third reviewer. AH, SF and PH supervised the study and provided critical comments. All authors read and approved the final manuscript.
Ethical approval
Ethical approval with ethical code IR.SSU.SPH.REC. 1400.038 was provided by the Iran Research Ethics Committee of Shahid Sadoughi University of Medical Sciences and Health Services, Yazd, Iran.
Review: Review | Subject: Environmental Health
Received: 2020/05/27 | Accepted: 2021/07/19 | Published: 2021/09/29

References
1. Hua J, Shaw R. Corona Virus (COVID-19)"Infodemic" and Emerging Issues through a Data Lens: The Case of China. International journal of environmental research and public health. 2020;17(7):2309. [DOI:10.3390/ijerph17072309]
2. Prasad A. Local Immunity Concept in the Context of the Novel Corona Viral Infection: A Consideration. Asian Journal of Immunology. 2020:16-25.
3. Novel CPERE. The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China. Zhonghua liu xing bing xue za zhi= Zhonghua liuxingbingxue zazhi. 2020;41(2):145. [DOI:10.46234/ccdcw2020.032]
4. Yang P, Wang X. COVID-19: a new challenge for human beings. Cellular & Molecular Immunology. 2020;17(5):555-7. [DOI:10.1038/s41423-020-0407-x]
5. Fong I. Climate Change: Impact on Health and Infectious Diseases Globally. Current Trends and Concerns in Infectious Diseases: Springer; 2020:165-90. [DOI:10.1007/978-3-030-36966-8_7]
6. Khan N, Fahad S, Naushad M, et al. Explanation of Corona Virus Control Novel by Warm and Humid Seasons in the World. Available at SSRN 3561155. 2020. [DOI:10.2139/ssrn.3561155]
7. Shi P, Dong Y, Yan H, et al. The impact of temperature and absolute humidity on the coronavirus disease 2019 (COVID-19) outbreak-evidence from China. medRxiv. 2020. [DOI:10.1101/2020.03.22.20038919]
8. Bu J, Peng D-D, Xiao H, et al. Analysis of meteorological conditions and prediction of epidemic trend of 2019-nCoV infection in 2020. medRxiv. 2020. [DOI:10.1101/2020.02.13.20022715]
9. Al-Rousan N, Al-Najjar H. Nowcasting and Forecasting the Spreading of Novel Coronavirus 2019-nCoV and its Association With Weather Variables in 30 Chinese Provinces: A Case Study. Available at SSRN 3537084. 2020. [DOI:10.2139/ssrn.3537084]
10. Caspi G, Shalit U, Kristensen SL, et al. Rossenberg O, et al. Climate effect on COVID-19 spread rate: an online surveillance tool. medRxiv. 2020. [DOI:10.1101/2020.03.26.20044727]
11. Casanova LM, Jeon S, Rutala WA, et al. Effects of air temperature and relative humidity on coronavirus survival on surfaces. Appl Environ Microbiol. 2010;76(9):2712-7. [DOI:10.1128/AEM.02291-09]
12. Van Doremalen N, Bushmaker T, Munster V. Stability of Middle East respiratory syndrome coronavirus (MERS-CoV) under different environmental conditions. Eurosurveillance. 2013;18(38):20590. [DOI:10.2807/1560-7917.ES2013.18.38.20590]
13. Fallah Aliabadi S, Sarsangi A, Modiri E. The social and physical vulnerability assessment of old texture against earthquake (case study: Fahadan district in Yazd City). Arabian Journal of Geosciences. 2015;8(12):10775-87. [DOI:10.1007/s12517-015-1939-8]
14. Jia J, Ding J, Liu S, et al. Modeling the Control of COVID-19: Impact of Policy Interventions and Meteorological Factors. arXiv preprint arXiv:200302985. 2020.
15. Welch V, Petticrew M, Tugwell P, et al. PRISMA-Equity 2012 extension: reporting guidelines for systematic reviews with a focus on health equity. PLoS medicine. 2012;9(10):e1001333. [DOI:10.1371/journal.pmed.1001333]
16. Shamseer L MD, Clarke M, Ghersi D, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. British Medical Journal. 2015;2:7647. [DOI:10.1136/bmj.g7647]
17. Fenton L, Lauckner H, Gilbert R. The QATSDD critical appraisal tool: comments and critiques. Journal of Evaluation in Clinical Practice. 2015;21(6):1125-8. [DOI:10.1111/jep.12487]
18. Cai Y, Huang T, Liu X, et al. The Effects of" Fangcang, Huoshenshan, and Leishenshan" Makeshift Hospitals and Temperature on the Mortality of COVID-19. medRxiv. 2020. [DOI:10.1101/2020.02.26.20028472]
19. Wang J, Tang K, Feng K, et al. High Temperature and High Humidity Reduce the Transmission of COVID-19. Available at SSRN 3551767. 2020. [DOI:10.2139/ssrn.3551767]
20. Deng YB, Jiang X, Deng XY, et al. Pioglitazone ameliorates neuronal damage after traumatic brain injury via the PPAR gamma/NF-kappa B/IL-6 signaling pathway. Genes & Diseases. 2020;7(2):253-65. [DOI:10.1016/j.gendis.2019.05.002]
21. Luo W, Majumder MS, Liu D, et al. The role of absolute humidity on transmission rates of the COVID-19 outbreak. medRxiv. 2020. [DOI:10.1101/2020.02.12.20022467]
22. Poirier C, Luo W, Majumder MS, et al. The Role of Environmental Factors on Transmission Rates of the COVID-19 Outbreak: An Initial Assessment in Two Spatial Scales. Available at SSRN 3552677. 2020;10(1):1-1 [DOI:10.2139/ssrn.3552677]
23. Oliveiros B, Caramelo L, Ferreira NC, Caramelo F. Role of temperature and humidity in the modulation of the doubling time of COVID-19 cases. medRxiv. 2020. [DOI:10.1101/2020.03.05.20031872]
24. Wang M, Jiang A, Gong L, Luo L, Guo W, Li C, et al. Temperature significant change COVID-19 Transmission in 429 cities. medRxiv. 2020. [DOI:10.1101/2020.02.22.20025791]
25. Nazari Harmooshi N, Shirbandi K, Rahim F. Environmental Concern Regarding the Effect of Humidity and Temperature on SARS-COV-2 (COVID-19) Survival: Fact or Fiction. Kiarash and Rahim, Fakher, Environmental Concern Regarding the Effect of Humidity and Temperature on SARS-COV-2 (COVID-19) Survival: Fact or Fiction (March 29, 2020). 2020. [DOI:10.2139/ssrn.3563403]
26. Zhu Y, Xie J. Association between ambient temperature and COVID-19 infection in 122 cities from China. Science of The Total Environment. 2020;724:138201 [DOI:10.1016/j.scitotenv.2020.138201]
27. Tosepu R, Gunawan J, Effendy DS, et al. Correlation between weather and Covid-19 pandemic in Jakarta, Indonesia. Science of The Total Environment. 2020;725:138436.. [DOI:10.1016/j.scitotenv.2020.138436]
28. Moghadami M, Hassanzadeh M, Hedayati A, et al. Modeling for Corona Virus Outbreak in IRAN. medRxiv. 2020. [DOI:10.1101/2020.03.24.20041095]
29. Ma Y, Zhao Y, Liu J, et al. Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China. Science of The Total Environment 2020;724:138226 [DOI:10.1016/j.scitotenv.2020.138226]
30. Jamil T, Alam I, Gojobori T, et al. No Evidence for Temperature-Dependence of the COVID-19 Epidemic. 2020;8:436 [DOI:10.3389/fpubh.2020.00436]
31. Bannister-Tyrrell M, Meyer A, Faverjon C, et al. Preliminary evidence that higher temperatures are associated with lower incidence of COVID-19, for cases reported globally up to 29th February 2020. medRxiv. 2020. [DOI:10.1101/2020.03.18.20036731]
32. Harbert RS, Cunningham SW, Tessler M. Spatial modeling cannot currently differentiate SARS-CoV-2 coronavirus and human distributions on the basis of climate in the United States. medRxiv. 2020. [DOI:10.1101/2020.04.08.20057281]
33. Chin A, Chu J, Perera M, et al. Stability of SARS-CoV-2 in different environmental conditions. medRxiv. 2020. [DOI:10.1101/2020.03.15.20036673]
34. Baker RE, Yang W, Vecchi GA, et al. Susceptible supply limits the role of climate in the COVID-19 pandemic. medRxiv. 2020. [DOI:10.1101/2020.04.03.20052787]
35. Alvarez-Ramirez J, Meraz M. Role of meteorological temperature and relative humidity in the January-February 2020 propagation of 2019-nCoV in Wuhan, China. medRxiv. 2020. [DOI:10.1101/2020.03.19.20039164]
36. Notari A. Temperature dependence of COVID-19 transmission. arXiv preprint arXiv: 2021;763:144390. [DOI:10.1016/j.scitotenv.2020.144390]
37. Sajadi MM, Habibzadeh P, Vintzileos A, et al. Temperature and Latitude Analysis to Predict Potential Spread and Seasonality for COVID-19. Available at SSRN 3550308. 2020. [DOI:10.2139/ssrn.3550308]
38. Islam N, Shabnam S, Erzurumluoglu AM. Temperature, humidity, and wind speed are associated with lower Covid-19 incidence. medRxiv. 2020. [DOI:10.1101/2020.03.27.20045658]
39. Anis A. The Effect of Temperature Upon Transmission of COVID-19: Australia And Egypt Case Study. Available at SSRN 3567639. 2020. [DOI:10.2139/ssrn.3567639]
40. Bukhari Q, Jameel Y. Will coronavirus pandemic diminish by summer? Available at SSRN 3556998. 2020. [DOI:10.2139/ssrn.3556998]
41. Araujo MB, Naimi B. Spread of SARS-CoV-2 Coronavirus likely to be constrained by climate. medRxiv. 2020. [DOI:10.1101/2020.03.12.20034728]
42. Ficetola GF, Rubolini D. Climate affects global patterns of COVID-19 early outbreak dynamics. medRxiv. 2020.
43. Xu XW, Wu XX, Jiang XG, et al. Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series. Bmj-British Medical Journal. 2020;368.
44. Gardner EG, Kelton D, Poljak Z, et al. A case-crossover analysis of the impact of weather on primary cases of Middle East respiratory syndrome. BMC infectious diseases. 2019;19(1):113. [DOI:10.1186/s12879-019-3729-5]
45. Chan K, Peiris J, Lam S, et al. The effects of temperature and relative humidity on the viability of the SARS coronavirus. Advances in virology. 2011;2011. [DOI:10.1155/2011/734690]
46. Kim SW, Ramakrishnan M, Raynor PC, et al. Effects of humidity and other factors on the generation and sampling of a coronavirus aerosol. Aerobiologia. 2007;23(4):239-48. [DOI:10.1007/s10453-007-9068-9]
47. Guionie O, Courtillon C, Allee C, et al. An experimental study of the survival of turkey coronavirus at room temperature and+ 4° C. Avian pathology. 2013;42(3):248-52. [DOI:10.1080/03079457.2013.779364]
48. Altamimi A, Ahmed AE. Climate factors and incidence of Middle East respiratory syndrome coronavirus. Journal of Infection and Public Health. 2020;13(5):704-8 [DOI:10.1016/j.jiph.2019.11.011]
49. Simmering JE, Polgreen LA, et al. Weather-dependent risk for Legionnaires' disease, United States. Emerging infectious diseases. 2017;23(11):1843. [DOI:10.3201/eid2311.170137]
50. Alghamdi IG, Hussain II, Almalki SS, et al. The pattern of Middle East respiratory syndrome coronavirus in Saudi Arabia: a descriptive epidemiological analysis of data from the Saudi Ministry of Health. International journal of general medicine. 2014;7:417. [DOI:10.2147/IJGM.S67061]
51. van der Lans AA, Boon MR, Haks MC, et al. Cold acclimation affects immune composition in skeletal muscle of healthy lean subjects. Physiological reports. 2015;3(7):e12394. [DOI:10.14814/phy2.12394]

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