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Limaheluw J, Dollmann S, Folpmers S, Beltrán Beut L, Lazarakou A, Vermeulen LC, de Roda Husman AM. Associations between meteorological factors and COVID-19: a global scoping review. Front Public Health 2024; 12:1183706. [PMID: 39091528 PMCID: PMC11291467 DOI: 10.3389/fpubh.2024.1183706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 07/08/2024] [Indexed: 08/04/2024] Open
Abstract
Background Many respiratory viruses and their associated diseases are sensitive to meteorological factors. For SARS-CoV-2 and COVID-19, evidence on this sensitivity is inconsistent. Understanding the influence of meteorological factors on SARS-CoV-2 transmission and COVID-19 epidemiology can help to improve pandemic preparedness. Objectives This review aimed to examine the recent evidence about the relation between meteorological factors and SARS-CoV-2/COVID-19. Methods We conducted a global scoping review of peer-reviewed studies published from January 2020 up to January 2023 about the associations between temperature, solar radiation, precipitation, humidity, wind speed, and atmospheric pressure and SARS-CoV-2/COVID-19. Results From 9,156 initial records, we included 474 relevant studies. Experimental studies on SARS-CoV-2 provided consistent evidence that higher temperatures and solar radiation negatively affect virus viability. Studies on COVID-19 (epidemiology) were mostly observational and provided less consistent evidence. Several studies considered interactions between meteorological factors or other variables such as demographics or air pollution. None of the publications included all determinants holistically. Discussion The association between short-term meteorological factors and SARS-CoV-2/COVID-19 dynamics is complex. Interactions between environmental and social components need further consideration. A more integrated research approach can provide valuable insights to predict the dynamics of respiratory viruses with pandemic potential.
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Affiliation(s)
- Jesse Limaheluw
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Sophia Dollmann
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Sofia Folpmers
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Lola Beltrán Beut
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Afroditi Lazarakou
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Lucie C. Vermeulen
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Ana Maria de Roda Husman
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
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2
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Maimaitiyiming Y, Yang T, Wang QQ, Feng Y, Chen Z, Björklund M, Wang F, Hu C, Hsu CH, Naranmandura H. Heat Treatment Promotes Ubiquitin-Mediated Proteolysis of SARS-CoV-2 RNA Polymerase and Decreases Viral Load. Research (Wash D C) 2022; 2022:9802969. [PMID: 35321260 PMCID: PMC8918953 DOI: 10.34133/2022/9802969] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 01/11/2022] [Indexed: 01/18/2023] Open
Abstract
Despite extensive efforts, COVID-19 pandemic caused by the SARS-CoV-2 virus is still at large. Vaccination is an effective approach to curb virus spread, but several variants (e.g., delta, delta plus, omicron, and IHU) appear to weaken or possibly escape immune protection. Thus, novel and quickly scalable approaches to restrain SARS-CoV-2 are urgently needed. Multiple evidences showed thermal sensitivity of SARS-CoV-2 and negative correlation between environmental temperature and COVID-19 transmission with unknown mechanism. Here, we reveal a potential mechanism by which mild heat treatment destabilizes the wild-type RNA-dependent RNA polymerase (also known as nonstructural protein 12 (NSP12)) of SARS-CoV-2 as well as the P323L mutant commonly found in SARS-CoV-2 variants, including omicron and IHU. Mechanistically, heat treatment promotes E3 ubiquitin ligase ZNF598-dependent NSP12 ubiquitination leading to proteasomal degradation and significantly decreases SARS-CoV-2 RNA copy number and viral titer. A mild daily heat treatment maintains low levels of both wild-type and P323L mutant of NSP12, suggesting clinical potential. Collectively, this novel mechanism, heat-induced NSP12 degradation, suggests a prospective heat-based intervention against SARS-CoV-2.
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Affiliation(s)
- Yasen Maimaitiyiming
- Department of Public Health and Department of Hematology of First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.,Zhejiang University Cancer Center, Hangzhou 310058, China.,Department of Neurobiology and Department of Neurology of the First Affiliated Hospital, Zhejiang University School of Medicine, NHC and CAMS Key Laboratory of Medical Neurobiology, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou 310058, China
| | - Tao Yang
- Department of Public Health and Department of Hematology of First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.,Zhejiang University Cancer Center, Hangzhou 310058, China
| | - Qian Qian Wang
- Department of Public Health and Department of Hematology of First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.,Zhejiang University Cancer Center, Hangzhou 310058, China
| | - Yan Feng
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Zhi Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Mikael Björklund
- Zhejiang University-University of Edinburgh (ZJU-UoE) Institute, Haining 314499, Zhejiang, China
| | - Fudi Wang
- The First Affiliated Hospital, Institute of Translational Medicine, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China.,Hengyang Medical School, University of South China, Hengyang 421001, China
| | - Chonggao Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Chih-Hung Hsu
- Women's Hospital, Institute of Genetics, and Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou 310006, China
| | - Hua Naranmandura
- Department of Public Health and Department of Hematology of First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.,Zhejiang University Cancer Center, Hangzhou 310058, China
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3
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Wang B, Pang Y, Zhang Y, Zhang L, Ye R, Yan L, Li Z, Ren A. Thorium and fetal neural tube defects: an epidemiological evidence from large case-control study. Genes Environ 2021; 43:51. [PMID: 34823609 PMCID: PMC8614024 DOI: 10.1186/s41021-021-00227-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 11/10/2021] [Indexed: 11/10/2022] Open
Abstract
Background Thorium is ubiquitous in the environment and its relationship with birth defects is still under discussion. This study aimed to investigate the associations of maternal exposure to thorium with risk of neural tube defects (NTDs) by using a case–control study, as well as the relationship between thorium exposure and the indoor air pollution from coal combustion. Methods This study was conducted in 11 local healthcare hospitals during 2003–2007 in Shanxi and Hebei provinces, China. A total of 774 mothers were included as participants who delivering 263 fetuses with NTDs including 123 with anencephaly, 115 with spina bifida, 18 with encephalocele, and 7 other NTD subtypes (cases), and 511 health fetuses without NTDs (controls). Their hair samples were collected as close as to the occipital posterior scalp, of which those grew from 3 months before to 3 months after conception was cut to measure the thorium concentration by inductively coupled plasma-mass spectrometry. Results We found a higher hair thorium concentration in the total NTD cases with 0.901 (0.588–1.382) ng/g hair [median (inter-quartile range)] than that in the controls with a value of 0.621 (0.334–1.058) ng/g hair. Similar results were found for the three concerned NTD subtypes. Maternal hair thorium concentration above its median of the controls was associated with an increased risk of the total NTDs with an adjusted odds ratio of 1.80 [95% confidence interval (CI), 1.23–2.63)] by adjusting for all confounders. There was obvious dose-response relationship between maternal hair thorium concentration and the risk of total NTDs, as well as their two subtypes (i.e. anencephaly and spina bifida). Maternal hair thorium concentration was positive associated with their exposure level to indoor air pollution from coal combustion during cooking. Conclusions Overall, our findings revealed that maternal periconceptional thorium exposure was associated with the risk of NTDs in North China. Reducing the coal usage in the household cooking activities may decrease maternal thorium exposure level. Graphical abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s41021-021-00227-w.
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Affiliation(s)
- Bin Wang
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing, 100191, P. R. China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, P. R. China
| | - Yiming Pang
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing, 100191, P. R. China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, P. R. China
| | - Yali Zhang
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing, 100191, P. R. China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, P. R. China
| | - Le Zhang
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing, 100191, P. R. China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, P. R. China
| | - Rongwei Ye
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing, 100191, P. R. China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, P. R. China
| | - Lailai Yan
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, P. R. China.
| | - Zhiwen Li
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing, 100191, P. R. China. .,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, P. R. China.
| | - Aiguo Ren
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, Beijing, 100191, P. R. China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, P. R. China
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Du W, Wang J, Wang Z, Lei Y, Huang Y, Liu S, Wu C, Ge S, Chen Y, Bai K, Wang G. Influence of COVID-19 lockdown overlapping Chinese Spring Festival on household PM 2.5 in rural Chinese homes. CHEMOSPHERE 2021; 278:130406. [PMID: 33819885 PMCID: PMC8007388 DOI: 10.1016/j.chemosphere.2021.130406] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/20/2021] [Accepted: 03/23/2021] [Indexed: 05/22/2023]
Abstract
During the 2019 novel coronavirus (COVID-19) pandemic, many countries took strong lockdown policy to reduce disease spreading, resulting in mitigating the ambient air pollution due to less traffic and industrial emissions. However, limited studies focused on the household air pollution especially in rural area, the potential risk induced by indoor air pollution exposure was unknown during this period. This field study continuously measured real-time PM2.5 levels in kitchen, living room, and outdoor in the normal days (Period-1) and the days of COVID-19 lockdown overlapping the Chinese Spring Festival (Period-2) in rural homes in China. The average daily PM2.5 concentrations increased by 17.4 and 5.1 μg/m3 in kitchen and living room during Period-2, respectively, which may be due to more fuel consumption for cooking and heating caused by larger family sizes than those during the normal days. The ambient PM2.5 concentration in rural areas in Period-2 decreased by 6.7 μg/m3 compared to the Period-1, less than the drop in urban areas (26.8 μg/m3). An increase of mass fraction of very fine particles in ambient air was observed during lockdown overlapping annual festival days, which could be explained by the residential solid fuel burning. Due to higher indoor air pollution level and longer time spent in indoor environments, daily personal exposure to PM2.5 was 134 ± 40 μg/m3 in Period-2, which was significantly higher than that during in Period-1 (126 ± 27 μg/m3, p < 0.05). The increase of personal PM2.5 exposure during Period-2 could potentially have negative impact on human health, indicating further investigations should be performed to estimate the health impact of global COVID-19 lockdown on community, especially in rural homes using solid fuels as the routine fuels.
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Affiliation(s)
- Wei Du
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, PR China
| | - Jinze Wang
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, PR China
| | - Zhenglu Wang
- Department of Marine Biology, College of Oceanography, Hohai University, Nanjing, 210098, PR China
| | - Yali Lei
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, PR China
| | - Ye Huang
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, PR China
| | - Shijie Liu
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, PR China
| | - Can Wu
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, PR China
| | - Shuangshuang Ge
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, PR China
| | - Yuanchen Chen
- College of Environment, Research Centre of Environmental Science, Zhejiang University of Technology, Hangzhou, 310032, China
| | - Kaixu Bai
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, PR China
| | - Gehui Wang
- Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, 200241, PR China.
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5
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Wang X, Gao M, Tan Y, Li Q, Chen J, Lan C, Jiangtulu B, Wang B, Shen G, Yu Y, Li Z. Associations of Dietary Exposure to Organochlorine Pesticides from Plant-Origin Foods with Lipid Metabolism and Inflammation in Women: A Multiple Follow-up Study in North China. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2021; 107:289-295. [PMID: 33866393 DOI: 10.1007/s00128-021-03224-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 03/30/2021] [Indexed: 06/12/2023]
Abstract
This study explored effects of dietary OCP intake from plant-origin foods (cereals, fruits, and vegetables) consumption on lipid metabolism and inflammation of women using a multiple follow-up study. The results showed that dietary intake of p,p'-dichlorodiphenyltrichloroethane (DDT) [β = - 10.11, 95% confidence interval (95%CI): - 17.32, - 2.905] and o,p'-dichlorodiphenyldichloroethylene (DDE) (β = - 6.077, 95%CI: - 9.954, - 2.200) were overall negatively associated with serum high-density lipoprotein cholesterol (HDL), whereas other OCPs were not. Serum interleukin (IL)-8 was positively associated with intake of dieldrin (β = 0.390, 95%CI: 0.105, 0.674), endosulfan-β (β = 0.361, 95%CI: 0.198, 0.523), total endosulfan (β = 0.136, 95%CI: 0.037, 0.234), and total OCPs (β = 0.084, 95%CI: 0.016, 0.153), and negatively correlated with intake of p,p'-DDE (β = - 2.692, 95%CI: - 5.185, - 0.198). We concluded that dietary intake of some individual DDT-, DDE- dieldrin-, and endosulfan-class chemicals from plant-origin foods may interfere with lipid metabolism and inflammation responses.
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Affiliation(s)
- Xuepeng Wang
- School of Environment, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Miaomiao Gao
- School of Environment, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Yixi Tan
- School of Environment, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Qi Li
- Jiangxi Environmental Engineering Vocational College, Ganzhou, 341002, People's Republic of China
| | - Junxi Chen
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing, 100191, People's Republic of China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Changxin Lan
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing, 100191, People's Republic of China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Bahabieke Jiangtulu
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing, 100191, People's Republic of China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Bin Wang
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing, 100191, People's Republic of China.
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, People's Republic of China.
| | - Guofeng Shen
- College of Urban and Environmental Sciences, Peking University, Beijing, 100871, People's Republic of China
| | - Yanxin Yu
- School of Environment, Beijing Normal University, Beijing, 100875, People's Republic of China.
| | - Zhiwen Li
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing, 100191, People's Republic of China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
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6
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Gap-Free LST Generation for MODIS/Terra LST Product Using a Random Forest-Based Reconstruction Method. REMOTE SENSING 2021. [DOI: 10.3390/rs13142828] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Land surface temperature (LST) is a crucial input parameter in the study of land surface water and energy budgets at local and global scales. Because of cloud obstruction, there are many gaps in thermal infrared remote sensing LST products. To fill these gaps, an improved LST reconstruction method for cloud-covered pixels was proposed by building a linking model for the moderate resolution imaging spectroradiometer (MODIS) LST with other surface variables with a random forest regression method. The accumulated solar radiation from sunrise to satellite overpass collected from the surface solar irradiance product of the Feng Yun-4A geostationary satellite was used to represent the impact of cloud cover on LST. With the proposed method, time-series gap-free LST products were generated for Chongqing City as an example. The visual assessment indicated that the reconstructed gap-free LST images can sufficiently capture the LST spatial pattern associated with surface topography and land cover conditions. Additionally, the validation with in situ observations revealed that the reconstructed cloud-covered LSTs have similar performance as the LSTs on clear-sky days, with the correlation coefficients of 0.92 and 0.89, respectively. The unbiased root mean squared error was 2.63 K. In general, the validation work confirmed the good performance of this approach and its good potential for regional application.
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7
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Cao H, Li B, Gu T, Liu X, Meng K, Zhang L. Associations of Ambient Air Pollutants and Meteorological Factors With COVID-19 Transmission in 31 Chinese Provinces: A Time Series Study. INQUIRY : A JOURNAL OF MEDICAL CARE ORGANIZATION, PROVISION AND FINANCING 2021; 58:469580211060259. [PMID: 34809490 PMCID: PMC8613882 DOI: 10.1177/00469580211060259] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 10/27/2021] [Accepted: 10/28/2021] [Indexed: 12/23/2022]
Abstract
Evidence regarding the effects of environmental factors on COVID-19 transmission is mixed. We aimed to explore the associations of air pollutants and meteorological factors with COVID-19 confirmed cases during the outbreak period throughout China. The number of COVID-19 confirmed cases, air pollutant concentrations, and meteorological factors in China from January 25 to February 29, 2020, (36 days) were extracted from authoritative electronic databases. The associations were estimated for a single-day lag as well as moving averages lag using generalized additive mixed models. Region-specific analyses and meta-analysis were conducted in 5 selected regions from the north to south of China with diverse air pollution levels and weather conditions and sufficient sample size. Nonlinear concentration-response analyses were performed. An increase of each interquartile range in PM2.5, PM10, SO2, NO2, O3, and CO at lag4 corresponded to 1.40 (1.37-1.43), 1.35 (1.32-1.37), 1.01 (1.00-1.02), 1.08 (1.07-1.10), 1.28 (1.27-1.29), and 1.26 (1.24-1.28) ORs of daily new cases, respectively. For 1°C, 1%, and 1 m/s increase in temperature, relative humidity, and wind velocity, the ORs were 0.97 (0.97-0.98), 0.96 (0.96-0.97), and 0.94 (0.92-0.95), respectively. The estimates of PM2.5, PM10, NO2, and all meteorological factors remained significantly after meta-analysis for the five selected regions. The concentration-response relationships showed that higher concentrations of air pollutants and lower meteorological factors were associated with daily new cases increasing. Higher air pollutant concentrations and lower temperature, relative humidity and wind velocity may favor COVID-19 transmission. Controlling ambient air pollution, especially for PM2.5, PM10, NO2, may be an important component of reducing risk of COVID-19 infection. In addition, as winter months are arriving in China, the meteorological factors may play a negative role in prevention. Therefore, it is significant to implement the public health control measures persistently in case another possible pandemic.
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Affiliation(s)
- Han Cao
- Department of Biostatistics, Peking University First Hospital, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Bingxiao Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Tianlun Gu
- Department of Customer Advisory, SAS Institute Inc, Beijing, China
| | - Xiaohui Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Kai Meng
- Department of Health Management and Policy, School of Public Health, Capital Medical University, Beijing, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
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