Dengue Fever Surveillance in Mato Grosso do Sul: Insights from Genomic Analysis and Implications for Public Health Strategies.
dengue virus
epidemiology
genomic surveillance
phylodynamics
Journal
Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722
Informations de publication
Date de publication:
23 08 2023
23 08 2023
Historique:
received:
17
07
2023
revised:
17
08
2023
accepted:
21
08
2023
medline:
29
9
2023
pubmed:
28
9
2023
entrez:
28
9
2023
Statut:
epublish
Résumé
Since its discovery in early 1916, dengue fever, a common vector-borne illness in Brazil, has resulted in extensive urban outbreaks and poses a serious threat to the public's health. Understanding the dynamics of Dengue Virus (DENV) serotypes circulating in different regions of Brazil is essential for implementing effective disease control and prevention measures. In response to this urgent need, we conducted an on-site training program in genomic surveillance in collaboration with the Central Laboratory of Health and the Secretary of Health of the Mato Grosso do Sul state. This initiative resulted in the generation of 177 DENV genome sequences collected between May 2021 and May 2022, a period during which over 11,391 dengue fever cases were reported in the state. Through this approach, we were able to identify the co-circulation of two different dengue serotypes (DENV1 and DENV2) as well as the existence of diverse viral lineages within each genotype, suggesting that multiple introduction events of different viral strains occurred in the region. By integrating epidemiological data, our findings unveiled temporal fluctuations in the relative abundance of different serotypes throughout various epidemic seasons, highlighting the complex and changing dynamics of DENV transmission throughout time. These findings demonstrate the value of ongoing surveillance activities in tracking viral transmission patterns, monitoring viral evolution, and informing public health actions.
Identifiants
pubmed: 37766197
pii: v15091790
doi: 10.3390/v15091790
pmc: PMC10536684
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIAID NIH HHS
ID : U01 AI151698
Pays : United States
Références
Bioinformatics. 2014 Nov 15;30(22):3276-8
pubmed: 25095880
Mol Biol Evol. 2013 Feb;30(2):239-43
pubmed: 23090976
Virus Evol. 2015 May 26;1(1):vev003
pubmed: 27774277
Cell Rep. 2020 Feb 18;30(7):2275-2283.e7
pubmed: 32075736
Bioinformatics. 2019 Mar 1;35(5):871-873
pubmed: 30124794
Mol Biol Evol. 2015 Jan;32(1):268-74
pubmed: 25371430
Nat Commun. 2021 Apr 16;12(1):2296
pubmed: 33863880
Infect Genet Evol. 2023 Apr;109:105407
pubmed: 36764633
Virus Evol. 2018 Jun 08;4(1):vey016
pubmed: 29942656
Viruses. 2023 May 30;15(6):
pubmed: 37376575
Expert Rev Anti Infect Ther. 2012 Aug;10(8):895-907
pubmed: 23030329
Nat Commun. 2021 May 11;12(1):2619
pubmed: 33976183
Nat Microbiol. 2022 Sep;7(9):1490-1500
pubmed: 35982313
Virus Evol. 2016 Apr 09;2(1):vew007
pubmed: 27774300
Brief Bioinform. 2019 Jul 19;20(4):1160-1166
pubmed: 28968734