Impact of climatic, demographic and disease control factors on the transmission dynamics of COVID-19 in large cities worldwide

One Health - Tập 12 - Trang 100221 - 2021
Soeren Metelmann1,2, Karan Pattni3, Liam Brierley4, Lisa Cavalerie5,6, Cyril Caminade2,5, Marcus S.C. Blagrove1, Joanne Turner3,5, Kieran J. Sharkey3, Matthew Baylis2,5
1Department of Evolution, Ecology and Behaviour, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Brownlow Hill, Liverpool L3 5RF, UK
2Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, UK
3Department of Mathematical Sciences, University of Liverpool, Peach Street, Liverpool L69 7ZL, UK
4Department of Health Data Science, Institute of Population Health, University of Liverpool, Brownlow Street, Liverpool, L69 3GL, UK
5Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Brownlow Hill, Liverpool L3 5RF, UK
6International Livestock Research Institute, Addis Ababa, Ethiopia

Tài liệu tham khảo

Gorbalenya, 2020, The species severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2, Nat. Microbiol., 5, 536, 10.1038/s41564-020-0695-z Guo, 2020, The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak – an update on the status, Mil. Med. Res., 7, 11 WHO, 2020 Moriyama, 2020, Seasonality of respiratory viral infections, Annu. Rev. Virol., 10.1146/annurev-virology-012420-022445 Nickbakhsh, 2020, Epidemiology of seasonal coronaviruses: establishing the context for the emergence of coronavirus disease 2019, J. Infect. Dis., 222, 17, 10.1093/infdis/jiaa185 Gardner, 2019, A case-crossover analysis of the impact of weather on primary cases of Middle East respiratory syndrome, BMC Infect. Dis., 19, 113, 10.1186/s12879-019-3729-5 Lin, 2006, Environmental factors on the SARS epidemic: air temperature, passage of time and multiplicative effect of hospital infection, Epidemiol. Infect., 134, 223, 10.1017/S0950268805005054 Neher, 2020, Potential impact of seasonal forcing on a SARS-CoV-2 pandemic, Swiss Med. Wkly., 150 Kissler, 2020, Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period, Science., 368, 860, 10.1126/science.abb5793 World Meteorological Organization Jiang, 2020, Effect of ambient air pollutants and meteorological variables on COVID-19 incidence, Infect. Control Hosp. Epidemiol., 1 Luo, 2020, The role of absolute humidity on transmission rates of the COVID-19 outbreak, MedRxiv Oliveiros, 2020, Role of temperature and humidity in the modulation of the doubling time of COVID-19 cases, MedRxiv Jüni, 2020, Impact of climate and public health interventions on the COVID-19 pandemic: a prospective cohort study, CMAJ., 192, E566, 10.1503/cmaj.200920 Wang, 2020 Chen, 2020, Predicting the local COVID-19 outbreak around the world with meteorological conditions: a model-based qualitative study, BMJ Open, 10, 10.1136/bmjopen-2020-041397 Ficetola, 2020, Containment measures limit environmental effects on COVID-19 early outbreak dynamics, MedRxiv Meyer, 2020, Evidence that higher temperatures are associated with a marginally lower incidence of COVID-19 cases, Front. Public Health, 8, 10.3389/fpubh.2020.00367 Mecenas, 2020, Effects of temperature and humidity on the spread of COVID-19: A systematic review, PLoS One, 15, 10.1371/journal.pone.0238339 Carlson, 2020, Species distribution models are inappropriate for COVID-19, Nat. Ecol. Evol., 4, 770, 10.1038/s41559-020-1212-8 Heffernan, 2005, Perspectives on the basic reproductive ratio, J. R. Soc. Interface, 2, 281, 10.1098/rsif.2005.0042 Cox, 2019 Ma, 2020, Estimating epidemic exponential growth rate and basic reproduction number, Infect. Dis. Model., 5, 129 Hsieh, 2009, Turning points, reproduction number, and impact of climatological events for multi-wave dengue outbreaks, Trop. Med. Int. Health, 14, 628, 10.1111/j.1365-3156.2009.02277.x Wallinga, 2007, How generation intervals shape the relationship between growth rates and reproductive numbers, Proc. Biol. Sci., 274, 599 Stekhoven, 2012, MissForest—non-parametric missing value imputation for mixed-type data, Bioinformatics, 28, 112, 10.1093/bioinformatics/btr597 Hale King, 2015, Avoidable errors in the modelling of outbreaks of emerging pathogens, with special reference to Ebola, Proc. Biol. Sci., 282, 20150347 Liu, 2020, The reproductive number of COVID-19 is higher compared to SARS coronavirus, J. Travel Med., 27, 10.1093/jtm/taaa021 Alimohamadi, 2020, Estimate of the basic reproduction number for COVID-19: a systematic review and meta-analysis, J. Prev. Med. Public Health, 53, 151, 10.3961/jpmph.20.076 Park, 2020, A systematic review of COVID-19 epidemiology based on current evidence, J. Clin. Med., 9, 967, 10.3390/jcm9040967 Li, 2019, Global patterns in monthly activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus: a systematic analysis, Lancet Glob. Health, 7, e1031, 10.1016/S2214-109X(19)30264-5 Eccles, 2002, An explanation for the seasonality of acute upper respiratory tract viral infections, Acta Otolaryngol. (Stockh.), 122, 183, 10.1080/00016480252814207 Sagripanti, 2020, Estimated inactivation of coronaviruses by solar radiation with special reference to COVID-19, Photochem. Photobiol., 10.1111/php.13293 Ratnesar-Shumate, 2020, Simulated sunlight rapidly inactivates SARS-CoV-2 on surfaces, J. Infect. Dis., 222, 214, 10.1093/infdis/jiaa274 Byass, 2020, Eco-epidemiological assessment of the COVID-19 epidemic in China, January–February 2020, Glob. Health Action, 13, 1760490, 10.1080/16549716.2020.1760490 Carleton, 2021, Global evidence for ultraviolet radiation decreasing COVID-19 growth rates, Proc. Natl. Acad. Sci., 118, 10.1073/pnas.2012370118 Merow, 2020, Seasonality and uncertainty in global COVID-19 growth rates, Proc. Natl. Acad. Sci., 117, 27456, 10.1073/pnas.2008590117 Baker, 2020, Susceptible supply limits the role of climate in the early SARS-CoV-2 pandemic, Science, 10.1126/science.abc2535 Coelho, 2020, Global expansion of COVID-19 pandemic is driven by population size and airport connections, PeerJ., 8, 10.7717/peerj.9708 Becchetti, 2021, Air quality and COVID-19 adverse outcomes: divergent views and experimental findings, Environ. Res., 193, 110556, 10.1016/j.envres.2020.110556 Python, 2020, A downscaling approach to compare COVID-19 count data from databases aggregated at different spatial scales, MedRxiv Shaman, 2013, The El Niño–Southern Oscillation (ENSO)–pandemic influenza connection: coincident or causal?, Proc. Natl. Acad. Sci., 110, 3689, 10.1073/pnas.1107485109 World Meteorological Organization Njenga, 2020, Why is there low morbidity and mortality of COVID-19 in Africa?, Am. J. Trop. Med. Hyg., 10.4269/ajtmh.20-0474 Emukule, 2016, Influenza activity in Kenya, 2007-2013: timing, association with climatic factors, and implications for vaccination campaigns, Influenza Other Respir. Viruses, 10, 375, 10.1111/irv.12393 WHO, 2017 UK Academy of Medical Sciences O’Reilly, 2020, Effective transmission across the globe: the role of climate in COVID-19 mitigation strategies, Lancet. Planet. Health, 4