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- Publisher Website: 10.3390/v14112510
- Scopus: eid_2-s2.0-85142626801
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Article: Epidemiology and Transmission Dynamics of Infectious Diseases and Control Measures
Title | Epidemiology and Transmission Dynamics of Infectious Diseases and Control Measures |
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Authors | |
Keywords | COVID-19 epidemiology infectious disease intervention One Health SARS-CoV-2 |
Issue Date | 12-Nov-2022 |
Publisher | MDPI |
Citation | Viruses, 2022, v. 14, n. 11 How to Cite? |
Abstract | The epidemiology and transmission dynamics of infectious diseases must be understood at the individual and community levels to improve public health decision-making for real-time and integrated community-based control strategies. Herein, we explore the epidemiological characteristics for assessing the impact of public health interventions in the community setting and their applications. Computational statistical methods could advance research on infectious disease epidemiology and accumulate scientific evidence of the potential impacts of pharmaceutical/nonpharmaceutical measures to mitigate or control infectious diseases in the community. Novel public health threats from emerging zoonotic infectious diseases are urgent issues. Given these direct and indirect mitigating impacts at various levels to different infectious diseases and their burdens, we must consider an integrated assessment approach, ‘One Health’, to understand the dynamics and control of infectious diseases. |
Persistent Identifier | http://hdl.handle.net/10722/340782 |
ISSN | 2023 Impact Factor: 3.8 2023 SCImago Journal Rankings: 1.140 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Ryu, Sukhyun | - |
dc.contributor.author | Chun, June Young | - |
dc.contributor.author | Lee, Sunmi | - |
dc.contributor.author | Yoo, Daesung | - |
dc.contributor.author | Kim, Yongdai | - |
dc.contributor.author | Ali, Sheikh Taslim | - |
dc.contributor.author | Chun, Byung Chul | - |
dc.date.accessioned | 2024-03-11T10:47:04Z | - |
dc.date.available | 2024-03-11T10:47:04Z | - |
dc.date.issued | 2022-11-12 | - |
dc.identifier.citation | Viruses, 2022, v. 14, n. 11 | - |
dc.identifier.issn | 1999-4915 | - |
dc.identifier.uri | http://hdl.handle.net/10722/340782 | - |
dc.description.abstract | <p>The epidemiology and transmission dynamics of infectious diseases must be understood at the individual and community levels to improve public health decision-making for real-time and integrated community-based control strategies. Herein, we explore the epidemiological characteristics for assessing the impact of public health interventions in the community setting and their applications. Computational statistical methods could advance research on infectious disease epidemiology and accumulate scientific evidence of the potential impacts of pharmaceutical/nonpharmaceutical measures to mitigate or control infectious diseases in the community. Novel public health threats from emerging zoonotic infectious diseases are urgent issues. Given these direct and indirect mitigating impacts at various levels to different infectious diseases and their burdens, we must consider an integrated assessment approach, ‘One Health’, to understand the dynamics and control of infectious diseases.</p> | - |
dc.language | eng | - |
dc.publisher | MDPI | - |
dc.relation.ispartof | Viruses | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | COVID-19 | - |
dc.subject | epidemiology | - |
dc.subject | infectious disease | - |
dc.subject | intervention | - |
dc.subject | One Health | - |
dc.subject | SARS-CoV-2 | - |
dc.title | Epidemiology and Transmission Dynamics of Infectious Diseases and Control Measures | - |
dc.type | Article | - |
dc.identifier.doi | 10.3390/v14112510 | - |
dc.identifier.scopus | eid_2-s2.0-85142626801 | - |
dc.identifier.volume | 14 | - |
dc.identifier.issue | 11 | - |
dc.identifier.eissn | 1999-4915 | - |
dc.identifier.isi | WOS:000896007300001 | - |
dc.identifier.issnl | 1999-4915 | - |