Effects of public-health measures for zeroing out different SARS-CoV-2 variants

被引:4
|
作者
Ge, Yong [1 ,2 ,3 ]
Wu, Xilin [1 ,3 ]
Zhang, Wenbin [1 ,3 ,4 ]
Wang, Xiaoli [5 ]
Zhang, Die [1 ,2 ]
Wang, Jianghao [1 ,3 ]
Liu, Haiyan [6 ]
Ren, Zhoupeng [1 ]
Ruktanonchai, Nick W. [7 ]
Ruktanonchai, Corrine W. [7 ]
Cleary, Eimear [4 ]
Yao, Yongcheng [4 ,8 ]
Wesolowski, Amy [9 ]
Cummings, Derek A. T. [10 ,11 ]
Li, Zhongjie [12 ]
Tatem, Andrew J. [4 ]
Lai, Shengjie [4 ,13 ,14 ]
机构
[1] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
[2] Jiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang, Peoples R China
[3] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
[4] Univ Southampton, Sch Geog & Environm Sci, WorldPop, Southampton, England
[5] Beijing Ctr Dis Prevent & Control, Beijing, Peoples R China
[6] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Marine Data Ctr, Zhuhai, Peoples R China
[7] Virginia Tech, Dept Populat Hlth Sci, Blacksburg, VA USA
[8] Zhengzhou Normal Univ, Sch Math & Stat, Zhengzhou, Peoples R China
[9] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA
[10] Univ Florida, Dept Biol, Gainesville, FL USA
[11] Univ Florida, Emerging Pathogens Inst, Gainesville, FL USA
[12] Chinese Acad Med Sci & Peking Union Med Coll, Sch Populat Med & Publ Hlth, Beijing, Peoples R China
[13] Univ Southampton, Inst Life Sci, Southampton, Hamps, England
[14] Fudan Univ, Shanghai Inst Infect Dis & Biosecur, Shanghai, Peoples R China
基金
北京市自然科学基金;
关键词
HONG-KONG; INTERVENTIONS; INFLUENZA; COVID-19; IMPACT;
D O I
10.1038/s41467-023-40940-4
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Targeted public health interventions for an emerging epidemic are essential for preventing pandemics. During 2020-2022, China invested significant efforts in strict zero-COVID measures to contain outbreaks of varying scales caused by different SARS-CoV-2 variants. Based on a multi-year empirical dataset containing 131 outbreaks observed in China from April 2020 to May 2022 and simulated scenarios, we ranked the relative intervention effectiveness by their reduction in instantaneous reproduction number. We found that, overall, social distancing measures (38% reduction, 95% prediction interval 31-45%), face masks (30%, 17-42%) and close contact tracing (28%, 24-31%) were most effective. Contact tracing was crucial in containing outbreaks during the initial phases, while social distancing measures became increasingly prominent as the spread persisted. In addition, infections with higher transmissibility and a shorter latent period posed more challenges for these measures. Our findings provide quantitative evidence on the effects of public-health measures for zeroing out emerging contagions in different contexts.
引用
收藏
页数:12
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