Systematic Review and Meta-analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
School of Medicine, 556492Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Int J Health Serv. 2022 Jan;52(1):9-22. doi: 10.1177/0020731421993940. Epub 2021 Mar 9.
The coronavirus disease 2019 (COVID-19) pandemic has affected almost all countries and territories. As of December 6, 2020, the United States of America and India have the highest prevalence. Each country has implemented different strategies to control and reduce the spread of disease. Here, the association between prevalence number and health policies is evaluated by comparing 2 groups of countries: (1) Italy, the United States of America, Germany, Spain, and India with a higher prevalence than a linear trend line; and (2) Singapore and China with a lower or equal prevalence than linear forecasts. A rapid overview revealed that many countries have similar strategies for controlling COVID-19, including the suspension of air travel, the lockdown on the cities with the most cases detected, active case findings, monitoring of close contacts, and raising public awareness. Also, they used a gradual and phased plan to reopen activities. So, the difference between countries in the burden of COVID-19 can be attributable to the strict mode and nonstrict mode of implementation of strategies. Limitations at the national levels call for systemic rather than regional strategies.
2019 年冠状病毒病（COVID-19）大流行几乎影响了所有国家和地区。截至 2020 年 12 月 6 日，美利坚合众国和印度的发病率最高。每个国家都实施了不同的策略来控制和减少疾病的传播。在这里，通过比较两组国家（1）发病率高于线性趋势线的意大利、美利坚合众国、德国、西班牙和印度；和（2）发病率低于或等于线性预测的新加坡和中国，评估了流行数量与卫生政策之间的关联。快速概述显示，许多国家都有控制 COVID-19 的相似策略，包括暂停航空旅行、封锁发现病例最多的城市、主动发现病例、监测密切接触者以及提高公众意识。此外，它们还使用逐步和分阶段的计划重新开展活动。因此，各国 COVID-19 负担的差异可能归因于策略实施的严格模式和非严格模式。国家层面的限制要求采取系统性而非区域性策略。
