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COVID-19 prevention measures reduce dengue spread in Yunnan Province, China, but do not reduce established outbreak.
- Source :
-
Emerging microbes & infections [Emerg Microbes Infect] 2022 Dec; Vol. 11 (1), pp. 240-249. - Publication Year :
- 2022
-
Abstract
- ABSTRACT 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.
- Subjects :
- Animals
COVID-19 epidemiology
COVID-19 prevention & control
China epidemiology
Chlorocebus aethiops
Disease Outbreaks prevention & control
Genotype
Humans
Pandemics prevention & control
Phylogeny
RNA, Viral
SARS-CoV-2
Serogroup
Spatial Analysis
Vero Cells
Communicable Disease Control methods
Dengue epidemiology
Dengue prevention & control
Dengue transmission
Dengue Virus
Subjects
Details
- Language :
- English
- ISSN :
- 2222-1751
- Volume :
- 11
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Emerging microbes & infections
- Publication Type :
- Academic Journal
- Accession number :
- 34935597
- Full Text :
- https://doi.org/10.1080/22221751.2021.2022438