COVID-19 mortality waves in ASEAN driven by demographic, policy, and cardiovascular factors.
Introduction: ASEAN, comprising 10 nations and the world's seventh-largest economy, effectively mitigated COVID-19 through trade, healthcare, and cultural integration despite political disparities. Nevertheless, rapid policy shifts in COVID-19 control, combined with varying vaccination rates, notabl...
| Publicado en: | Discover Public Health Vol. 22; no. 1; pp. 1 - 14 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
9/21/2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188150856&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188150856 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 30050774 NM7Z jtl: Discover Public Health issn: 30050774 maglogo: N pubinfo: dt: 9/21/2025 vid: 22 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 188150856 188150856 188150856 10.1186/s12982-025-00898-8 188150856 ppf: 1 ppct: 13 formats: tig: atl: COVID-19 mortality waves in ASEAN driven by demographic, policy, and cardiovascular factors. aug: au: Nguyen, Ngoc Huy Le, Son Dinh Thanh Bui, Ha Thi Thu Hoang, Viet Quoc Do, Cuong Cao Trang, Vu Thi Thu affil: Phutho Department of Health, Phutho, Vietnam sug: subj: COVID-19 Mortality COVID-19 Prevention and Control Sociodemographic Factors Evaluation Public Policy Cardiovascular Diseases Mortality International Agencies Human Male Female Aged Aged, 80 and Over Retrospective Design Record Review COVID-19 Vaccines Immunization Multiple Linear Regression Descriptive Statistics Confidence Intervals Economic Status Public Health Infrastructure Policy Making Health Care Delivery Southeast Asians Health Policy Aged: 65+ years Aged, 80 & over Male Female ab: Introduction: ASEAN, comprising 10 nations and the world's seventh-largest economy, effectively mitigated COVID-19 through trade, healthcare, and cultural integration despite political disparities. Nevertheless, rapid policy shifts in COVID-19 control, combined with varying vaccination rates, notably influenced COVID-19 mortality waves (CMW). The distinct outbreak patterns among countries underscore the crucial need to accurately identify factors related to daily new COVID-19 deaths (DNCD). Methods: The retrospective study examined Our World in Data database to assess factors affecting DNCD in ASEAN from vaccination start to May 1st, 2024. Joinpoint regression analysis, performed using Joinpoint Trend Analysis Software 5.1.0, identified bell-shaped patterns in CMW, while a Weighted Least Squares (WLS) model and Bayesian Model Averaging, executed in R 4.3.1, determined the primary predictors influencing DNCD. Results: Joinpoint regression identified that 5 out of 10 countries experienced their CMW, lasting 767 days and resulting in 236,098 deaths. The WLS model, with a strong model fit (R2 = 92.09%), reveals significant associations. Each 1% increase in COVID-19 vaccination (– 0.96; 95% CI – 1.19; – 0.72), each $1000 increase in GDP per capita (– 10.35; 95% CI – 11.09; – 9.61), each 1% increase in stringency index (– 3.89; 95%CI – 4.28;-3.51), and each additional hospital bed per thousand people (– 53.83; 95% CI – 60.50; – 47.16) are associated with lower DNCD. Conversely, increases in active cases (2.33; 95% CI 2.26;2.40) and cardiovascular death rate (0.90; 95% CI 0.85; 0.96) correlate with higher DNCD. Conclusion: The study highlights vaccination, economic stability, healthcare infrastructure, and stringency measures in reducing DNCD. Policymakers should prioritize vaccination and healthcare improvements while monitoring active cases and cardiovascular health for future preparedness. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|