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http://digitalrepository.fccollege.edu.pk/handle/123456789/982
Title: | Influence of socio-ecological factors on COVID-19 risk: a cross-sectional study based on 178 countries/regions worldwide |
Authors: | Su, Dai Chen, Yingchun He, Kevin Zhang, Tao Tan, Min Zhang, Yunfan Zhang, Xingyu |
Keywords: | Sociology |
Issue Date: | 29-Apr-2020 |
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). |
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. |
URI: | http://localhost:8080/xmlui/handle/123456789/982 |
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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