Factors Associated with COVID-19 Deaths and Infections: A Cross Country Evidence
Shimul, S. N.; Kadir, F.; Ihsan- Ul- Kabir, M.
Show abstract
Though most of the countries across the world are crippled with COVID-19, there has been substantial variations in death and infection rates. While some countries are overwhelmed, a few are spared. Little is known what explains this variation. This study attempts to understand the covariates of death and infection rates of COVID-19 across countries using multivariate regression analysis and least absolute shrinkage and selection operator (LASSO) regression. The OLS estimates show that the aging population and hospital bed per capita are significantly associated with the fatality rate of COVID-19, while urbanization has a positive correlation with the inflection rate. The study suggests that an increase in health systems capacity can significantly reduce the fatality rates due to COVID-19.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Prediction of confirmed and death cases of Covid-19 in Chile through time series techniques: A comparative study 95%
- Understanding mental health trends during COVID-19 pandemic in the United States using network analysis 95%
- Generalized Linear Mixed Model Approach for Analyzing Water, Sanitation, and Hygiene Facilities in Bangladesh: Insights from BDHS 2022 Data 94%
Similar papers in this journal
- The COVID-19 mortality effects of underlying health conditions in India: a modelling study 94%
- Reopening Italy’s Schools in September 2020: A Bayesian Estimation of the Change in the Growth Rate of New SARS-CoV-2 Cases 92%
- Risk Factors for Non-Communicable Diseases among Bangladeshi Adults: An Application of Generalized Linear Mixed Model on Multilevel Demographic and Health Survey Data 92%
Similar papers in this journal
- Using A Socio-Ecological System (SES) Framework to Explain Factors Influencing Countries’ Success Level in Curbing COVID-19 95%
- The Role of Societal Aspects in the Formation of Official COVID-19 Reports: A Data-Driven Analysis 94%
- The experience of distress during the COVID-19 outbreak: a cross-country examination on the fear of COVID-19 and the sense of loneliness 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.