Factors Associated with the Incidence and Mortality of Coronavirus Disease 2019 (COVID-19) after 126-million Cases: A Meta-analysis
Both JP and KuT contribute equally as first co-author in this work.
- DOI
- 10.2991/jegh.k.210527.001How to use a DOI?
- Keywords
- Coronavirus disease-19; pandemics; epidemiology; mortality; incidence; health system
- Abstract
Objectives: This meta-analysis was conducted to investigate the current global incidence and mortality of COVID-19 and also explored the associated factors including geographic variations, transmission scenarios, country economic status, and healthcare performance.
Methods: The search was conducted in online databases based on reports from national authorities by March 28, 2021. Random-effects model meta-analyses and meta-regression analyses were used to generate summary estimates and explored sources of heterogeneity.
Results: The cumulative number of confirmed COVID-19 cases was 125,704,789 reported by 216 countries. The pooled Daily Cumulative Index (DCI) was 1423.87 cases/day which was highest in South America (2759.15 cases/day) followed by North America (2252.49 cases/day), Europe (1858.44 cases/day), Asia (1484.84 cases/day), Africa (193.09 cases/day), and Australia/Oceania (18.55 cases/day). The overall pooled mortality rate of COVID-19 was 1.53%. Higher income countries and countries with community transmission had higher DCI. By meta-regression, country total health expenditure per capita, percentage of universal health coverage, and total number of tests were associated with higher DCI. On the contrary, country Gross Domestic Product (GDP) per capita were negatively correlated with mortality rate.
Conclusion: To date, 216 countries around the world are affected by COVID-19. Higher income, GDP, and countries’ investments on heath are associated with higher DCI while higher GDP correlates with lower mortality. Community transmission route have more impact on the incidence and mortality of COVID-19.
- Copyright
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Jeerath Phannajit AU - Kullaya Takkavatakarn AU - Pisut Katavetin AU - Thanin Asawavichienjinda AU - Kriang Tungsanga AU - Kearkiat Praditpornsilpa AU - Somchai Eiam-Ong AU - Paweena Susantitaphong PY - 2021 DA - 2021/06/14 TI - Factors Associated with the Incidence and Mortality of Coronavirus Disease 2019 (COVID-19) after 126-million Cases: A Meta-analysis JO - Journal of Epidemiology and Global Health SP - 289 EP - 295 VL - 11 IS - 3 SN - 2210-6014 UR - https://doi.org/10.2991/jegh.k.210527.001 DO - 10.2991/jegh.k.210527.001 ID - Phannajit2021 ER -