Altizer, 2013, Climate change and infectious diseases: from evidence to a predictive framework, Science, 341, 514, 10.1126/science.1239401
Thomas, 2020, Epidemics on the move: climate change and infectious disease, PLoS Biol., 18, 10.1371/journal.pbio.3001013
Walsh, 2020, Whence the next pandemic? The intersecting global geography of the animal-human interface, poor health systems and air transit centrality reveals conduits for high-impact spillover, One Health, 11, 10.1016/j.onehlt.2020.100177
Anand, 2021, Novel coronavirus disease 2019 (COVID-19) pandemic: from transmission to control with an interdisciplinary vision, Environ. Res., 197, 10.1016/j.envres.2021.111126
Bontempi, 2020, Commercial exchanges instead of air pollution as possible origin of COVID-19 initial diffusion phase in Italy: more efforts are necessary to address interdisciplinary research, Environ. Res., 188, 10.1016/j.envres.2020.109775
Shakil, 2020, COVID-19 and the environment: a critical review and research agenda, Sci. Total Environ., 745, 10.1016/j.scitotenv.2020.141022
Espejo, 2020, Environment and COVID-19: pollutants, impacts, dissemination, management and recommendations for facing future epidemic threats, Sci. Total Environ., 747, 10.1016/j.scitotenv.2020.141314
Copat, 2020, The role of air pollution (PM and NO2) in COVID-19 spread and lethality: a systematic review, Environ. Res., 191, 10.1016/j.envres.2020.110129
Baker, 2020, Susceptible supply limits the role of climate in the early SARS-CoV-2 pandemic, Science, 369, 315, 10.1126/science.abc2535
Accarino, 2021, Assessing correlations between short-term exposure to atmospheric pollutants and COVID-19 spread in all Italian territorial areas, Environ. Pollut., 268, 10.1016/j.envpol.2020.115714
Kraemer, 2020, The effect of human mobility and control measures on the COVID-19 epidemic in China, Science, 368, 493, 10.1126/science.abb4218
Jing, 2020, Household secondary attack rate of COVID-19 and associated determinants in Guangzhou, China: a retrospective cohort study, Lancet Infect. Dis., 20, 1141, 10.1016/S1473-3099(20)30471-0
Giordano, 2020, Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy, Nat. Med., 26, 855, 10.1038/s41591-020-0883-7
Sarmadi, 2020, Association of COVID-19 global distribution and environmental and demographic factors: an updated three-month study, Environ. Res., 188, 10.1016/j.envres.2020.109748
Gatto, 2020, Spread and dynamics of the COVID-19 epidemic in Italy: effects of emergency containment measures, Proc. Natl. Acad. Sci. U. S. A., 117, 10484, 10.1073/pnas.2004978117
Huang, 2021, Effectiveness of interventions as part of the One Health approach to control coronavirus disease 2019 and stratified case features in Anhui Province, China: a real-world population-based cohort study, One Health, 12, 10.1016/j.onehlt.2021.100224
Yeoh, 2021, Assessing the impact of non-pharmaceutical interventions on the transmissibility and severity of COVID-19 during the first five months in the Western Pacific Region, One Health, 12, 10.1016/j.onehlt.2021.100213
Tian, 2020, An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China, Science, 368, 638, 10.1126/science.abb6105
Zhao, 2020, To avoid the noncausal association between environmental factor and COVID-19 when using aggregated data: simulation-based counterexamples for demonstration, Sci. Total Environ., 748, 10.1016/j.scitotenv.2020.141590
Bontempi, 2020, Understanding COVID-19 diffusion requires an interdisciplinary, multi-dimensional approach, Environ. Res., 188, 10.1016/j.envres.2020.109814
Barouki, 2021, The COVID-19 pandemic and global environmental change: emerging research needs, Environ. Int., 146, 10.1016/j.envint.2020.106272
Kerr, 2021, Associations between meteorology and COVID-19 in early studies: inconsistencies, uncertainties, and recommendations, One Health, 12, 10.1016/j.onehlt.2021.100225
COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) [https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6].
Pang, 2020, Cold-chain food contamination as the possible origin of COVID-19 resurgence in Beijing, Natl. Sci. Rev., 7, 1861, 10.1093/nsr/nwaa264
Wang, 2011
Tooze, 2002, Analysis of repeated measures data with clumping at zero, Stat. Methods Med. Res., 11, 341, 10.1191/0962280202sm291ra
Tibshirani, 1996, Regression shrinkage and selection via the Lasso, J. R. Stat. Soc. Ser. B, 58, 267
Zhao, 2006, On model selection consistency of Lasso, J. Mach. Learn. Res., 7, 2541
Tibshirani, 1997, The lasso method for variable selection in the cox model, Stat. Med., 16, 385, 10.1002/(SICI)1097-0258(19970228)16:4<385::AID-SIM380>3.0.CO;2-3
Alene, 2021, Serial interval and incubation period of COVID-19: a systematic review and meta-analysis, BMC Infect. Dis., 21, 10.1186/s12879-021-05950-x
Lauer, 2020, The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: estimation and application, Ann. Int. Med., 172, 577, 10.7326/M20-0504
Coskun, 2021, The spread of COVID-19 virus through population density and wind in Turkey cities, Sci. Total Environ., 751, 10.1016/j.scitotenv.2020.141663
Wu, 2021, Natural and human environment interactively drive spread pattern of COVID-19: a city-level modeling study in China, Sci. Total Environ., 756, 10.1016/j.scitotenv.2020.143343
Normalcy returns to Wuhan, but with masks, of course [https://global.chinadaily.com.cn/a/202008/26/WS5f45eb3da310675eafc55a0e.html].
Zhiming, 2007, The relief degree of land surface in China and its correlation with population distribution, Acta Geograph. Sin., 62, 1073
Huanyong, 1990, The distribution, regionalization and prospect of China’s population, Acta Geograph. Sin., 45, 139
Haibin, 2006, Analysis of the relationship between social economic development and land use in Hainan province, Areal Res. Dev., 25, 120
Duhon, 2021, The impact of non-pharmaceutical interventions, demographic, social, and climatic factors on the initial growth rate of COVID-19: a cross-country study, Sci. Total Environ., 760, 10.1016/j.scitotenv.2020.144325
Cho, 2020, Quantifying the impact of nonpharmaceutical interventions during the COVID-19 outbreak: the case of Sweden, Econ. J., 23, 323
Li, 2021, The temporal association of introducing and lifting non-pharmaceutical interventions with the time-varying reproduction number (R) of SARS-CoV-2: a modelling study across 131 countries, Lancet Infect. Dis., 21, 193, 10.1016/S1473-3099(20)30785-4
Cacho, 2020, Can climatic factors explain the differences in COVID-19 incidence and severity across the Spanish regions?: an ecological study, Environ. Health, 19, 10.1186/s12940-020-00660-4
Su, 2020, A warm summer is unlikely to stop transmission of COVID-19 naturally, Geohealth, 4, 10.1029/2020GH000292
Paraskevis, 2021, A review of the impact of weather and climate variables to COVID-19: in the absence of public health measures high temperatures cannot probably mitigate outbreaks, Sci. Total Environ., 768, 10.1016/j.scitotenv.2020.144578
Ward, 2020, The role of climate during the COVID-19 epidemic in New South Wales, Australia, Transbound. Emerg. Dis., 67, 2313, 10.1111/tbed.13631
Sun, 2021, Spatial inequalities of COVID-19 mortality rate in relation to socioeconomic and environmental factors across England, Sci. Total Environ., 758, 10.1016/j.scitotenv.2020.143595
Pirouz, 2020, Development of an assessment method for investigating the impact of climate and urban parameters in confirmed cases of COVID-19: a new challenge in sustainable development, Int. J. Environ. Res. Public Health, 17, 10.3390/ijerph17082801
Juni, 2020, Impact of climate and public health interventions on the COVID-19 pandemic: a prospective cohort study, Can. Med. Assoc. J., 192, E566, 10.1503/cmaj.200920
Bowe, 2021, Ambient fine particulate matter air pollution and the risk of hospitalization among COVID-19 positive individuals: Cohort study, Environ. Int., 154