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  • 标题:Early Spatiotemporal Patterns and Population Characteristics of the COVID-19 Pandemic in Southeast Asia
  • 本地全文:下载
  • 作者:Mingjian Zhu ; Jirapat Kleepbua ; Zhou Guan
  • 期刊名称:Healthcare
  • 电子版ISSN:2227-9032
  • 出版年度:2021
  • 卷号:9
  • 期号:9
  • DOI:10.3390/healthcare9091220
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:This observational study aims to investigate the early disease patterns of coronavirus disease 2019 (COVID-19) in Southeast Asia, consequently providing historical experience for further interventions. Data were extracted from official websites of the WHO and health authorities of relevant countries. A total of 1346 confirmed cases of COVID-19, with 217 recoveries and 18 deaths, were reported in Southeast Asia as of 16 March 2020. The basic reproductive number ( R 0) of COVID-19 in the region was estimated as 2.51 (95% CI:2.31 to 2.73), and there were significant geographical variations at the subregional level. Early transmission dynamics were examined with an exponential regression model: y = 0.30e 0.13x ( p < 0.01, R 2 = 0.96), which could help predict short-term incidence. Country-level disease burden was positively correlated with Human Development Index (r = 0.86, p < 0.01). A potential early shift in spatial diffusion patterns and a spatiotemporal cluster occurring in Malaysia and Singapore were detected. Demographic analyses of 925 confirmed cases indicated a median age of 44 years and a sex ratio (male/female) of 1.25. Age may play a significant role in both susceptibilities and outcomes. The COVID-19 situation in Southeast Asia is challenging and unevenly geographically distributed. Hence, enhanced real-time surveillance and more efficient resource allocation are urgently needed.
  • 关键词:enCOVID-19;epidemic pattern;exponential growth;basic reproduction number (R0);spatio-temporal analysis;demographic risk factor;observational study;public health;Southeast Asia (SEA)
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