Dengue Fever Surveillance in Mato Grosso do Sul: Insights from Genomic Analysis and Implications for Public Health Strategies.
Larissa Domingues Castilho de ArrudaMarta GiovanettiVagner FonsecaMarina Castilhos Souza Umaki ZardinGislene Garcia de Castro LichsSilvia AsatoAna Olivia Pascoto EspositoMiriam Tokeshi MüllerJoilson XavierHegger Machado FritschMaurício Teixeira LimaCarla OliveiraElaine Vieira SantosLivia de Mello Almeida MazieroDanila Fernanda Rodrigues FriasDanielle Ahad das NevesLiliane Ferreira da SilvaEllen Caroline Rodrigues BarretosPaulo Eduardo Tsuha OshiroBianca Modafari GodayJéssica Klener Lemos Dos SantosSimone KashimaCarlos F C de AlbuquerqueRodrigo Fabiano do Carmo SaidAlexander RosewellLuiz Henrique Ferraz DemarchiJulio CrodaLuiz Carlos Junior AlcantaraChristinne Cavalheiro Maymone GonçalvesPublished in: Viruses (2023)
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.
Keyphrases
- dengue virus
- public health
- zika virus
- aedes aegypti
- sars cov
- global health
- healthcare
- mental health
- escherichia coli
- small molecule
- quality improvement
- gene expression
- risk assessment
- machine learning
- electronic health record
- health information
- high throughput
- artificial intelligence
- big data
- drug induced
- deep learning
- genetic diversity