Mulchandani Rubina, Babu Giridhara R, Kaur Avinash, Singh Ranjana, Lyngdoh Tanica
Indian Institute of Public Health-Delhi, Public Health Foundation of India, Gurugram, India.
Indian Institute of Public Health-Bengaluru, Public Health Foundation of India, Bengaluru, India.
IJID Reg. 2022 Jun;3:54-67. doi: 10.1016/j.ijregi.2022.02.010. Epub 2022 Feb 27.
Since December 2019, the world has been grappling with the COVID-19 pandemic, which has caused severe loss of lives, the breakdown of health infrastructure, and disruption of the global economy. There is growing evidence on mortality patterns in high-income countries. However, similar evidence from low/middle-income nations is lacking. Our review aimed to describe COVID-19 mortality patterns in the WHO-SEAR nations, and explore the associated factors in order to explain such trends.
A systematic and comprehensive search was undertaken in PubMed and Google Scholar to obtain maximum hits on COVID-19 mortality and its determinants in the SEAR, using a combination of MeSH terms and Boolean operators. The data were narratively synthesized in detail under appropriate themes.
Our search identified 6411 unique records. Mortality patterns were described in terms of important demographical and epidemiological indicators. Gaps in available evidence and paucity of adequate research in this area were also highlighted.
This review examined significant contributors to COVID-19 mortality across SEAR nations, while emphasizing issues relating to insufficient studies and data quality, and reporting challenges and other concerns in resource-constrained settings. There is a compelling need for more work in this area, to help inform decision making and improve public-health response.
自2019年12月以来，全球一直在应对新冠疫情，这场疫情已造成严重的生命损失、卫生基础设施崩溃以及全球经济混乱。关于高收入国家死亡率模式的证据越来越多。然而，低收入/中等收入国家缺乏类似的证据。我们的综述旨在描述世卫组织东南亚区域各国的新冠死亡率模式，并探讨相关因素以解释此类趋势。
在PubMed和谷歌学术上进行了系统全面的检索，使用医学主题词和布尔运算符的组合，以最大限度地检索到东南亚区域有关新冠死亡率及其决定因素的文献。数据在适当主题下进行了详细的叙述性综合分析。
我们的检索确定了6411条独特记录。根据重要的人口统计学和流行病学指标描述了死亡率模式。还强调了现有证据的差距以及该领域充分研究的匮乏。
本综述审视了东南亚区域各国新冠死亡率的重要影响因素，同时强调了研究不足和数据质量方面的问题，并报告了资源受限环境中的挑战及其他问题。迫切需要在这一领域开展更多工作，以帮助为决策提供信息并改善公共卫生应对措施。
