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DC Field | Value | Language |
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dc.contributor.author | Su, Dai | - |
dc.contributor.author | Chen, Yingchun | - |
dc.contributor.author | He, Kevin | - |
dc.contributor.author | Zhang, Tao | - |
dc.contributor.author | Tan, Min | - |
dc.contributor.author | Zhang, Yunfan | - |
dc.contributor.author | Zhang, Xingyu | - |
dc.date.accessioned | 2020-11-22T19:22:27Z | - |
dc.date.available | 2020-11-22T19:22:27Z | - |
dc.date.issued | 2020-04-29 | - |
dc.identifier.citation | Su, D., Chen, Y., He, K., Zhang, T., Tan, M., Zhang, Y., & Zhang, X. (2020). Influence of socio-ecological factors on COVID-19 risk: a cross-sectional study based on 178 countries/regions worldwide. Regions Worldwide (4/17/2020). | en_US |
dc.identifier.other | https://doi.org/10.1101/2020.04.23.20077545 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/982 | - |
dc.description.abstract | The initial outbreak of COVID-19 caused by SARS-CoV-2 in China in 2019 has been severely tested in other countries worldwide. We established the Potential Risk Assessment Framework for COVID-19. We used spatial econometrics method to assess the global and local correlation of COVID-19 risk indicators. To estimate the adjusted IRR, we modelled negative binomial regression analysis with spatial information and socio-ecological factors. We found that 37, 29 and 39 countries/regions were strongly opposite from the IR, CMR and DCI index "spatial autocorrelation hypothesis", respectively. The IR, CMR and DCI were significantly associated with some socio-economic factors. We also found that climatic factors (temperature, relative humidity, precipitation and wind speed) did not significantly reduce COVID-19 risk. To fight against COVID-19 more effectively, countries/regions should pay more attention to controlling population flow, improving diagnosis and treatment capacity, and improving public welfare policies. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Sociology | en_US |
dc.title | Influence of socio-ecological factors on COVID-19 risk: a cross-sectional study based on 178 countries/regions worldwide | en_US |
dc.type | Article | en_US |
Appears in Collections: | American Regions |
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Influence of socio-ecological factors on COVID-1 19 risk a cross-sectional study based.pdf | 447.82 kB | Adobe PDF | View/Open |
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