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COVID-19 prevention measures reduce dengue spread in Yunnan Province, China, but do not reduce established outbreak
The COVID-19 pandemic and measures against it provided a unique opportunity to understand the transmission of other infectious diseases and to evaluate the efficacy of COVID-19 prevention measures on them. Here we show a dengue epidemic in Yunnan, China, during the pandemic of COVID-19 was dramatica...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8745368/ https://www.ncbi.nlm.nih.gov/pubmed/34935597 http://dx.doi.org/10.1080/22221751.2021.2022438 |
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author | Sheng, Z.Y. Li, M. Yang, R. Liu, Y.H. Yin, X.X. Mao, J. R. Brown, Heidi E. An, J. Zhou, H.N. Wang, P.G. |
author_facet | Sheng, Z.Y. Li, M. Yang, R. Liu, Y.H. Yin, X.X. Mao, J. R. Brown, Heidi E. An, J. Zhou, H.N. Wang, P.G. |
author_sort | Sheng, Z.Y. |
collection | PubMed |
description | The COVID-19 pandemic and measures against it provided a unique opportunity to understand the transmission of other infectious diseases and to evaluate the efficacy of COVID-19 prevention measures on them. Here we show a dengue epidemic in Yunnan, China, during the pandemic of COVID-19 was dramatically reduced compared to non-pandemic years and, importantly, spread was confined to only one city, Ruili. Three key features characterized this dengue outbreak: (i) the urban-to-suburban spread was efficiently blocked; (ii) the scale of epidemic in urban region was less affected; (iii) co-circulation of multiple strains was attenuated. These results suggested that countermeasures taken during COVID-19 pandemic are efficient to prevent dengue transmission between cities and from urban to suburban, as well to reduce the co-circulation of multiple serotypes or genotypes. Nevertheless, as revealed by the spatial analysis, once the dengue outbreak was established, its distribution was very stable and resistant to measures against COVID-19, implying the possibility to develop a precise prediction method. |
format | Online Article Text |
id | pubmed-8745368 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-87453682022-01-11 COVID-19 prevention measures reduce dengue spread in Yunnan Province, China, but do not reduce established outbreak Sheng, Z.Y. Li, M. Yang, R. Liu, Y.H. Yin, X.X. Mao, J. R. Brown, Heidi E. An, J. Zhou, H.N. Wang, P.G. Emerg Microbes Infect Research Article The COVID-19 pandemic and measures against it provided a unique opportunity to understand the transmission of other infectious diseases and to evaluate the efficacy of COVID-19 prevention measures on them. Here we show a dengue epidemic in Yunnan, China, during the pandemic of COVID-19 was dramatically reduced compared to non-pandemic years and, importantly, spread was confined to only one city, Ruili. Three key features characterized this dengue outbreak: (i) the urban-to-suburban spread was efficiently blocked; (ii) the scale of epidemic in urban region was less affected; (iii) co-circulation of multiple strains was attenuated. These results suggested that countermeasures taken during COVID-19 pandemic are efficient to prevent dengue transmission between cities and from urban to suburban, as well to reduce the co-circulation of multiple serotypes or genotypes. Nevertheless, as revealed by the spatial analysis, once the dengue outbreak was established, its distribution was very stable and resistant to measures against COVID-19, implying the possibility to develop a precise prediction method. Taylor & Francis 2022-01-07 /pmc/articles/PMC8745368/ /pubmed/34935597 http://dx.doi.org/10.1080/22221751.2021.2022438 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Sheng, Z.Y. Li, M. Yang, R. Liu, Y.H. Yin, X.X. Mao, J. R. Brown, Heidi E. An, J. Zhou, H.N. Wang, P.G. COVID-19 prevention measures reduce dengue spread in Yunnan Province, China, but do not reduce established outbreak |
title | COVID-19 prevention measures reduce dengue spread in Yunnan Province, China, but do not reduce established outbreak |
title_full | COVID-19 prevention measures reduce dengue spread in Yunnan Province, China, but do not reduce established outbreak |
title_fullStr | COVID-19 prevention measures reduce dengue spread in Yunnan Province, China, but do not reduce established outbreak |
title_full_unstemmed | COVID-19 prevention measures reduce dengue spread in Yunnan Province, China, but do not reduce established outbreak |
title_short | COVID-19 prevention measures reduce dengue spread in Yunnan Province, China, but do not reduce established outbreak |
title_sort | covid-19 prevention measures reduce dengue spread in yunnan province, china, but do not reduce established outbreak |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8745368/ https://www.ncbi.nlm.nih.gov/pubmed/34935597 http://dx.doi.org/10.1080/22221751.2021.2022438 |
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