4.3 Article

Dynamics of Transmission of Urban Arbovirus Dengue, Zika and Chikungunya in Southwestern Region of Bahia, Brazil

Journal

ANAIS DA ACADEMIA BRASILEIRA DE CIENCIAS
Volume 93, Issue 3, Pages -

Publisher

ACAD BRASILEIRA DE CIENCIAS
DOI: 10.1590/0001-3765202120200670

Keywords

Arboviruses; epidemiology; infectious diseases; tropical diseases; vectorborne disease

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This report presents the epidemiological indicators of Dengue, Zika, and Chikungunya in 19 municipalities of the Southwestern Region of Bahia, Brazil from 2010 to 2016. The analysis includes vector characteristics, Home Infestation Index, and characterization of human reported cases, with most municipalities showing high annual values of Home Infestation Index, indicating a warning situation. The data collected are believed to contribute to public health policies aimed at controlling future epidemics of these arboviruses.
Arboviral diseases are disseminated all over the world. In Brazil, they remain neglected, alerting public authorities to possible outbreaks. Over here, we report the epidemiological indicators of Dengue from 2010 to 2015, Zika between 2015 and 2016, and Chikungunya from 2014 to 2016, within 19 municipalities of Southwestern Region of Bahia, Brazil. The data were collected from Brazilian national public information systems (SISFAD, SINAN, and IBGE) and by Endemic Control Agents. The analysis consisted of a description of vector characteristics, Home Infestation Index and characterization of human reported cases. The years 2011 and 2013 were recorded as having the highest frequencies of positive properties for the presence of the arboviruse vectors. Most municipalities presented high annual values of Home Infestation Index indicating an alert situation (62.28%). In the evaluated period, there were (i) 9,196 cases of Dengue, (ii) 636 cases of Zika and (iii) 224 cases of Chikungunya reported. This is the first report of the epidemiological characteristics of these arboviruses in the 19 municipalities of Bahia. It is believed that the data collected may contribute to public health policies aimed at controlling future epidemics of these arboviruses.

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