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- Publisher Website: 10.1073/pnas.2012002117
- Scopus: eid_2-s2.0-85093842537
- PMID: 32989148
- WOS: WOS:000580597300032
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Article: Global COVID-19 pandemic demands joint interventions for the suppression of future waves
Title | Global COVID-19 pandemic demands joint interventions for the suppression of future waves |
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Authors | |
Keywords | climate human behavior disease transmission hierarchical intervention network international collaboration |
Issue Date | 2020 |
Publisher | National Academy of Sciences. The Journal's web site is located at http://www.pnas.org |
Citation | Proceedings of the National Academy of Sciences, 2020, v. 117 n. 42, p. 26151-26157 How to Cite? |
Abstract | Emerging evidence suggests a resurgence of COVID-19 in the coming years. It is thus critical to optimize emergency response planning from a broad, integrated perspective. We developed a mathematical model incorporating climate-driven variation in community transmissions and movement-modulated spatial diffusions of COVID-19 into various intervention scenarios. We find that an intensive 8-wk intervention targeting the reduction of local transmissibility and international travel is efficient and effective. Practically, we suggest a tiered implementation of this strategy where interventions are first implemented at locations in what we call the Global Intervention Hub, followed by timely interventions in secondary high-risk locations. We argue that thinking globally, categorizing locations in a hub-and-spoke intervention network, and acting locally, applying interventions at high-risk areas, is a functional strategy to avert the tremendous burden that would otherwise be placed on public health and society. |
Persistent Identifier | http://hdl.handle.net/10722/291075 |
ISSN | 2023 Impact Factor: 9.4 2023 SCImago Journal Rankings: 3.737 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Li, R | - |
dc.contributor.author | Chen, B | - |
dc.contributor.author | Zhang, T | - |
dc.contributor.author | Ren, Z | - |
dc.contributor.author | Song, Y | - |
dc.contributor.author | Xiao, Y | - |
dc.contributor.author | Hou, L | - |
dc.contributor.author | Cai, J | - |
dc.contributor.author | Xu, B | - |
dc.contributor.author | Li, M | - |
dc.contributor.author | Chan, KKY | - |
dc.contributor.author | Tu, Y | - |
dc.contributor.author | Yang, M | - |
dc.contributor.author | Yang, J | - |
dc.contributor.author | Liu, Z | - |
dc.contributor.author | Shen, C | - |
dc.contributor.author | Wang, C | - |
dc.contributor.author | Xu, L | - |
dc.contributor.author | Liu, Q | - |
dc.contributor.author | Bao, S | - |
dc.contributor.author | Zhang, J | - |
dc.contributor.author | Bi, Y | - |
dc.contributor.author | Bai, Y | - |
dc.contributor.author | Deng, K | - |
dc.contributor.author | Zhang, W | - |
dc.contributor.author | Huang, W | - |
dc.contributor.author | Whittington, JD | - |
dc.contributor.author | Stenseth, NC | - |
dc.contributor.author | Guan, D | - |
dc.contributor.author | Gong, P | - |
dc.contributor.author | Xu, B | - |
dc.date.accessioned | 2020-11-02T05:51:12Z | - |
dc.date.available | 2020-11-02T05:51:12Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Proceedings of the National Academy of Sciences, 2020, v. 117 n. 42, p. 26151-26157 | - |
dc.identifier.issn | 0027-8424 | - |
dc.identifier.uri | http://hdl.handle.net/10722/291075 | - |
dc.description.abstract | Emerging evidence suggests a resurgence of COVID-19 in the coming years. It is thus critical to optimize emergency response planning from a broad, integrated perspective. We developed a mathematical model incorporating climate-driven variation in community transmissions and movement-modulated spatial diffusions of COVID-19 into various intervention scenarios. We find that an intensive 8-wk intervention targeting the reduction of local transmissibility and international travel is efficient and effective. Practically, we suggest a tiered implementation of this strategy where interventions are first implemented at locations in what we call the Global Intervention Hub, followed by timely interventions in secondary high-risk locations. We argue that thinking globally, categorizing locations in a hub-and-spoke intervention network, and acting locally, applying interventions at high-risk areas, is a functional strategy to avert the tremendous burden that would otherwise be placed on public health and society. | - |
dc.language | eng | - |
dc.publisher | National Academy of Sciences. The Journal's web site is located at http://www.pnas.org | - |
dc.relation.ispartof | Proceedings of the National Academy of Sciences | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | climate | - |
dc.subject | human behavior | - |
dc.subject | disease transmission | - |
dc.subject | hierarchical intervention network | - |
dc.subject | international collaboration | - |
dc.title | Global COVID-19 pandemic demands joint interventions for the suppression of future waves | - |
dc.type | Article | - |
dc.identifier.email | Song, Y: ymsong@hku.hk | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1073/pnas.2012002117 | - |
dc.identifier.pmid | 32989148 | - |
dc.identifier.pmcid | PMC7585010 | - |
dc.identifier.scopus | eid_2-s2.0-85093842537 | - |
dc.identifier.hkuros | 318543 | - |
dc.identifier.volume | 117 | - |
dc.identifier.issue | 42 | - |
dc.identifier.spage | 26151 | - |
dc.identifier.epage | 26157 | - |
dc.identifier.isi | WOS:000580597300032 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 0027-8424 | - |