Spatial determination of COVID-19 mortality
GC, A.
Show abstract
COVID-19 has affected at the global scale. However, its impacts are not evenly distributed. The article aims to explore the spatial determination of the COVID-19 related death. The data for the analysis has been accessed from the World Health Organization (WHO). Both descriptive and statistical analysis has been done to assess the COVID-19 related death and spatial explanation. The regression models suggested the explanatory power of spatial difference in the COVID-19 related death. However, further addition of various COVID-19 vaccine did not produce expected result.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The knowledge and practice towards COVID-19 pandemic prevention among residents of Ethiopia. An online cross-sectional study. 97%
- Health-Related Quality of Life and Coping Strategies adopted by COVID-19 survivors: A nationwide cross-sectional study in Bangladesh 96%
- Conflict driven displacement and child health: Evidence from Jordan 96%
Similar papers in this journal
- Assessment of COVID-19 Pandemic in Nepal: A Lockdown Scenario Analysis 95%
- The impact of armed conflict on the epidemiological situation of Coronavirus disease (COVID-19) in Libya, Syria, and Yemen 94%
- Profiles of bacteria isolates and their antimicrobial resistance pattern among housemaids working in communal living residences in Jimma City, Ethiopia 94%
Similar papers in this journal
- Prevalence and associated factors of gender-based violence for female: Evidence from school students in Nepal- a cross sectional study 96%
- Assessments of Effectiveness of Technologies Utilizations in VIHSCM Among Selected Health Facilities in Tanzania Mainland 95%
- Determining the effects of preseasonal climate factors toward dengue early warning system in Bangladesh 95%
Similar papers in this journal
- Risk Factors for Non-Communicable Diseases among Bangladeshi Adults: An Application of Generalized Linear Mixed Model on Multilevel Demographic and Health Survey Data 95%
- Women’s Awareness of Obstetric Fistula and its Associated Factors Among Reproductive-Age Women in Ethiopia: A Multilevel Analysis Based on National Survey Data 94%
- COVID-19 Vaccine hesitancy in Addis Ababa, Ethiopia: A mixed-methods study 94%
Similar papers in this journal
- Climate influences scrub typhus occurrence in Vellore, Tamil Nadu, India: Analysis of a 15 year dataset 95%
- Predictive signs and symptoms of Bacterial Meningitis isolates in Northern Ghana 94%
- Developing snakebite risk model using venomous snake habitat suitability as an indicating factor: An application of species distribution models in public health research 94%
"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.