TY - JOUR
T1 - The global response
T2 - How cities and provinces around the globe tackled Covid-19 outbreaks in 2021
AU - Jain, Nityanand
AU - Hung, I-Chun
AU - Kimura, Hitomi
AU - Goh, Yi Lin
AU - Jau, William
AU - Huynh, Khoa Le Anh
AU - Panag, Deepkanwar Singh
AU - Tiwari, Ranjit
AU - Prasad, Sakshi
AU - Manirambona, Emery
AU - Vasanthakumaran, Tamilarasy
AU - Amanda, Tan Weiling
AU - Lin, Ho-Wei
AU - Vig, Nikhil
AU - An, Nguyen Thanh
AU - Uwiringiyimana, Emmanuel
AU - Popkova, Darja
AU - Lin, Ting-Han
AU - Nguyen, Minh Anh
AU - Jain, Shivani
AU - Umar, Tungki Pratama
AU - Suleman, Mohamed Hoosen
AU - Efendi, Elnur
AU - Kuo, Chuan-Ying
AU - Bansal, Sikander Pal Singh
AU - Kauškale, Sofja
AU - Peng, Hui-Hui
AU - Bains, Mohit
AU - Rozevska, Marija
AU - Tran, Thang Huu
AU - Tsai, Meng-Shan
AU - Pahulpreet, null
AU - Jiraboonsri, Suvinai
AU - Tai, Ruo-Zhu
AU - Khan, Zeeshan Ali
AU - Huy, Dang Thanh
AU - Kositbovornchai, Supitsara
AU - Chiu, Ching-Wen
AU - Nguyen, Thi Hien Hau
AU - Chen, Hsueh-Yen
AU - Khongyot, Thanawat
AU - Chen, Kai-Yang
AU - Quyen, Dinh Thi Kim
AU - Lam, Jennifer
AU - Dila, Kadek Agus Surya
AU - Cu, Ngan Thanh
AU - Thi, My Tam Huynh
AU - Dung, Le Anh
AU - Thi, Kim Oanh Nguyen
AU - Thi, Hoai An Nguyen
AU - Trieu, My Duc Thao
AU - Thi, Yen Cao
AU - Pham, Thien Trang
AU - Ariyoshi, Koya
AU - Smith, Chris
AU - Huy, Nguyen Tien
N1 - © 2022 The Author(s).
PY - 2022/9
Y1 - 2022/9
N2 - Summary Background Tackling the spread of COVID-19 remains a crucial part of ending the pandemic. Its highly contagious nature and constant evolution coupled with a relative lack of immunity make the virus difficult to control. For this, various strategies have been proposed and adopted including limiting contact, social isolation, vaccination, contact tracing, etc. However, given the heterogeneity in the enforcement of these strategies and constant fluctuations in the strictness levels of these strategies, it becomes challenging to assess the true impact of these strategies in controlling the spread of COVID-19. Methods In the present study, we evaluated various transmission control measures that were imposed in 10 global urban cities and provinces in 2021– Bangkok, Gauteng, Ho Chi Minh City, Jakarta, London, Manila City, New Delhi, New York City, Singapore, and Tokyo. Findings Based on our analysis, we herein propose the population-level Swiss cheese model for the failures and pitfalls in various strategies that each of these cities and provinces had. Furthermore, whilst all the evaluated cities and provinces took a different personalized approach to managing the pandemic, what remained common was dynamic enforcement and monitoring of breaches of each barrier of protection. The measures taken to reinforce the barriers were adjusted continuously based on the evolving epidemiological situation. Interpretation How an individual city or province handled the pandemic profoundly affected and determined how the entire country handled the pandemic since the chain of transmission needs to be broken at the very grassroot level to achieve nationwide control. Funding The present study did not receive any external funding.
AB - Summary Background Tackling the spread of COVID-19 remains a crucial part of ending the pandemic. Its highly contagious nature and constant evolution coupled with a relative lack of immunity make the virus difficult to control. For this, various strategies have been proposed and adopted including limiting contact, social isolation, vaccination, contact tracing, etc. However, given the heterogeneity in the enforcement of these strategies and constant fluctuations in the strictness levels of these strategies, it becomes challenging to assess the true impact of these strategies in controlling the spread of COVID-19. Methods In the present study, we evaluated various transmission control measures that were imposed in 10 global urban cities and provinces in 2021– Bangkok, Gauteng, Ho Chi Minh City, Jakarta, London, Manila City, New Delhi, New York City, Singapore, and Tokyo. Findings Based on our analysis, we herein propose the population-level Swiss cheese model for the failures and pitfalls in various strategies that each of these cities and provinces had. Furthermore, whilst all the evaluated cities and provinces took a different personalized approach to managing the pandemic, what remained common was dynamic enforcement and monitoring of breaches of each barrier of protection. The measures taken to reinforce the barriers were adjusted continuously based on the evolving epidemiological situation. Interpretation How an individual city or province handled the pandemic profoundly affected and determined how the entire country handled the pandemic since the chain of transmission needs to be broken at the very grassroot level to achieve nationwide control. Funding The present study did not receive any external funding.
UR - https://www-webofscience-com.db.rsu.lv/wos/alldb/summary/6e73a53d-f488-4325-bfc8-19bba7c870a8-72efdb1d/relevance/1
U2 - 10.1016/j.lansea.2022.100031
DO - 10.1016/j.lansea.2022.100031
M3 - Article
C2 - 35775040
SN - 2772-3682
VL - 4
SP - 1
EP - 15
JO - The Lancet regional health. Southeast Asia
JF - The Lancet regional health. Southeast Asia
IS - September 2022
M1 - 100031
ER -