Factors associated with dengue cases in brazilian industrial area: an ecological study

Authors

  • Danilo Correa Cordeiro Departamento de Sustentabilidade da Faculdade de Medicina do ABC (FMABC) - Santo André (SP), Brazil
  • Fernando Luiz Affonso Fonseca Laboratório de Análises Clínicas, Departamento de Patologia da Faculdade de Medicina do ABC - FMABC - SP - Brazil
  • Claudia Arab Departamento de Cardiologia da Universidade Federal de São Paulo - SP - Brazil
  • Francisco Naildo Cardoso Leitão Laboratório de Delineamento de Estudos e Escrita Científica, Centro Universitário Saúde ABC - Santo André - SP - Brazil
  • Juliana Zangirolami-Raimundo Faculdade de Medicina FMUSP, Universidade de São Paulo - São Paulo - Brazil
  • Rodrigo Daminello Raimundo Laboratório de Delineamento de Estudos e Escrita Científica. Centro Universitário Saúde ABC. Santo André. São Paulo, Brazil

DOI:

https://doi.org/10.7322/jhgd.v30.11113

Keywords:

dengue, dengue virus, socioeconomic factors, social waste

Abstract

Introduction: Dengue is an acute systemic viral infectious disease, established worldwide in epidemic and endemic transmission cycles. High levels of precipitation, adequate temperatures, proximity between urban and peri-urban centers, human movement between population centers and urban solid waste (USW) production may facilitate dengue transmission and spread.

Objective: To identify the relationship between diagnosed dengue cases and socioeconomic factors, USW mass generation and rainfall index.

Methods: Ecological study, with secondary data collection from 2010 to 2016 for each municipality of the Greater ABC Region in São Paulo, Brazil. Total population, gross domestic product (GDP) per capita, USW, number of dengue cases and rainfall index were investigated. Data were collected on the websites of the Brazilian Institute of Geography and Statistics (IBGE), the municipalities of the Greater ABC Region, the Greater ABC Intermunicipal Consortium, the Greater ABC Economic Development Agency, the National Sanitation Information System, Surveillance Epidemiological Survey of the State of São Paulo and the Department of Water and Electric Energy of the State of São Paulo. Relationships between variables were tested by Spearman correlation.

Results: Data analysis of all municipalities showed a positive correlation between dengue cases with total population (r=0.675, p<0.01), gross domestic product per capita (r=0.539, p<0.01) and MSW by inhabitant per year (r=0.492, p<0.01). Positive correlations were also observed between total population and gross domestic product per capita (r=0.583, p<0.01), MSW / Day (r=0.302, p<0.05) and MSW/year (r=0.961, p<0.01); gross domestic product per capita and MSW/day (r=0.849, p<0.01), MSW/year (r=0.410, p<0.05) and rainfall index (RI) (r=0.416, p<0.05); MSW / day and MSW / year (r=0.389, p<0.01) and RI (r=0.388, p<0.05).

Conclusion: The larger the total population, purchasing power or socioeconomic status (GDP per capita) and the generation of MSW, the greater the number of dengue cases. Proper packaging of MSW seems to be a way to help in dengue cases control.

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Published

2020-10-15

Issue

Section

ORIGINAL ARTICLES