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Article: Epidemiology and Transmission Dynamics of Infectious Diseases and Control Measures

TitleEpidemiology and Transmission Dynamics of Infectious Diseases and Control Measures
Authors
KeywordsCOVID-19
epidemiology
infectious disease
intervention
One Health
SARS-CoV-2
Issue Date12-Nov-2022
PublisherMDPI
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 Identifierhttp://hdl.handle.net/10722/340782
ISSN
2023 Impact Factor: 3.8
2023 SCImago Journal Rankings: 1.140
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorRyu, Sukhyun-
dc.contributor.authorChun, June Young-
dc.contributor.authorLee, Sunmi-
dc.contributor.authorYoo, Daesung-
dc.contributor.authorKim, Yongdai-
dc.contributor.authorAli, Sheikh Taslim-
dc.contributor.authorChun, Byung Chul-
dc.date.accessioned2024-03-11T10:47:04Z-
dc.date.available2024-03-11T10:47:04Z-
dc.date.issued2022-11-12-
dc.identifier.citationViruses, 2022, v. 14, n. 11-
dc.identifier.issn1999-4915-
dc.identifier.urihttp://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.languageeng-
dc.publisherMDPI-
dc.relation.ispartofViruses-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCOVID-19-
dc.subjectepidemiology-
dc.subjectinfectious disease-
dc.subjectintervention-
dc.subjectOne Health-
dc.subjectSARS-CoV-2-
dc.titleEpidemiology and Transmission Dynamics of Infectious Diseases and Control Measures-
dc.typeArticle-
dc.identifier.doi10.3390/v14112510-
dc.identifier.scopuseid_2-s2.0-85142626801-
dc.identifier.volume14-
dc.identifier.issue11-
dc.identifier.eissn1999-4915-
dc.identifier.isiWOS:000896007300001-
dc.identifier.issnl1999-4915-

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