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- Publisher Website: 10.1063/5.0123870
- Scopus: eid_2-s2.0-85146969015
- PMID: 36725657
- WOS: WOS:000917936100004
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Article: Future trajectory of respiratory infections following the COVID-19 pandemic in Hong Kong
Title | Future trajectory of respiratory infections following the COVID-19 pandemic in Hong Kong |
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Authors | |
Issue Date | 2023 |
Citation | Chaos, 2023, v. 33, n. 1, article no. 013124 How to Cite? |
Abstract | The accumulation of susceptible populations for respiratory infectious diseases (RIDs) when COVID-19-targeted non-pharmaceutical interventions (NPIs) were in place might pose a greater risk of future RID outbreaks. We examined the timing and magnitude of RID resurgence after lifting COVID-19-targeted NPIs and assessed the burdens on the health system. We proposed the Threshold-based Control Method (TCM) to identify data-driven solutions to maintain the resilience of the health system by re-introducing NPIs when the number of severe infections reaches a threshold. There will be outbreaks of all RIDs with staggered peak times after lifting COVID-19-targeted NPIs. Such a large-scale resurgence of RID patients will impose a significant risk of overwhelming the health system. With a strict NPI strategy, a TCM-initiated threshold of 600 severe infections can ensure a sufficient supply of hospital beds for all hospitalized severely infected patients. The proposed TCM identifies effective dynamic NPIs, which facilitate future NPI relaxation policymaking. |
Persistent Identifier | http://hdl.handle.net/10722/330901 |
ISSN | 2023 Impact Factor: 2.7 2023 SCImago Journal Rankings: 0.778 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Cheng, Weibin | - |
dc.contributor.author | Zhou, Hanchu | - |
dc.contributor.author | Ye, Yang | - |
dc.contributor.author | Chen, Yifan | - |
dc.contributor.author | Jing, Fengshi | - |
dc.contributor.author | Cao, Zhidong | - |
dc.contributor.author | Zeng, Daniel Dajun | - |
dc.contributor.author | Zhang, Qingpeng | - |
dc.date.accessioned | 2023-09-05T12:15:45Z | - |
dc.date.available | 2023-09-05T12:15:45Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Chaos, 2023, v. 33, n. 1, article no. 013124 | - |
dc.identifier.issn | 1054-1500 | - |
dc.identifier.uri | http://hdl.handle.net/10722/330901 | - |
dc.description.abstract | The accumulation of susceptible populations for respiratory infectious diseases (RIDs) when COVID-19-targeted non-pharmaceutical interventions (NPIs) were in place might pose a greater risk of future RID outbreaks. We examined the timing and magnitude of RID resurgence after lifting COVID-19-targeted NPIs and assessed the burdens on the health system. We proposed the Threshold-based Control Method (TCM) to identify data-driven solutions to maintain the resilience of the health system by re-introducing NPIs when the number of severe infections reaches a threshold. There will be outbreaks of all RIDs with staggered peak times after lifting COVID-19-targeted NPIs. Such a large-scale resurgence of RID patients will impose a significant risk of overwhelming the health system. With a strict NPI strategy, a TCM-initiated threshold of 600 severe infections can ensure a sufficient supply of hospital beds for all hospitalized severely infected patients. The proposed TCM identifies effective dynamic NPIs, which facilitate future NPI relaxation policymaking. | - |
dc.language | eng | - |
dc.relation.ispartof | Chaos | - |
dc.title | Future trajectory of respiratory infections following the COVID-19 pandemic in Hong Kong | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1063/5.0123870 | - |
dc.identifier.pmid | 36725657 | - |
dc.identifier.scopus | eid_2-s2.0-85146969015 | - |
dc.identifier.volume | 33 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | article no. 013124 | - |
dc.identifier.epage | article no. 013124 | - |
dc.identifier.eissn | 1089-7682 | - |
dc.identifier.isi | WOS:000917936100004 | - |