A retrospective cross-national examination of COVID-19 outbreak in 175 countries: a multiscale geographically weighted regression analysis (January 11-June 28, 2020)
Ayodeji Iyanda
Ayodeji Iyanda
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This study investigates the spatial determinants of COVID-19 confirmed cases across 175 countries during the early phase of the pandemic (January 11–June 28, 2020). Utilizing a Multiscale Geographically Weighted Regression (MGWR) model, the researchers analyzed data from the World Health Organization and World Bank to assess how various health and social factors influenced the spread of COVID-19 globally.
Iyanda, A. E., Adeleke, R., Lu, Y., Osayomi, T., Adaralegbe, A., Lasode, M., Chima-Adaralegbe, N. J., & Osundina, A. M. (2020). A retrospective cross-national examination of COVID-19 outbreak in 175 countries: A multiscale geographically weighted regression analysis (January 11–June 28, 2020). Journal of Infection and Public Health, 13(10), 1438–1445.
Cheshmehzangi, A. (2020). Reflection on Early Lessons for Urban Resilience and Public Health Enhancement during the COVID-19. Health, 12(10). https://doi.org/10.4236/health.2020.1210035 SCIRP Ekel, P.I., Laudares, S., de Barros, A.J., Vieira, D.A.G., & Libório, M.P. (2023). Geovisualization: A Practical Approach for COVID-19 Spatial Analysis. Journal of Infection and Public Health.
This pioneering study provides valuable insights into the spatial and socioeconomic factors influencing the spread of COVID-19 across different countries. By employing advanced spatial analysis techniques, the researchers highlight the significance of age distribution, smoking prevalence, and healthcare expenditure in understanding pandemic dynamics. These findings can inform targeted public health interventions and policies aimed at mitigating the impact of current and future pandemics
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