OBJECTIVE: To evaluate the relationship between risk of occurrence of dengue and socioeconomic level. METHODS: All confirmed autochthonous cases of dengue between September 1990 and August 2002 were geocoded and grouped according to the urban census tracts of the municipality of São José do Rio Preto, Southeastern Brazil. A socioeconomic factor generated by principal component analysis was used to group census tracts into four socioeconomic levels. Incidence rates were calculated for each year and four-year period for each of the census sectors, considering the period from September of one year to August of the next. Thematic maps of sectors, grouped into each of the four socioeconomic levels and their respective disease incidences, are presented. RESULTS: Principal component analysis generated a socioeconomic factor that accounted for 87% of total variation. This factor was associated with dengue incidence only for the 1994-95 period. CONCLUSIONS: The lack of an association between risk of occurrence of dengue and socioeconomic levels in almost all years studied indicates that this issue deserves further study, and may vary depending on the settings found in each municipality. It will be important to determine the spatial relationship between dengue transmission and other variables, such as degree of immunity in the population, effectiveness of control measures, degree of infestation by the vector; and population habits and behaviors, among others.
OBJECTIVE: To evaluate the relationship between risk of occurrence of dengue and socioeconomic level. METHODS: All confirmed autochthonous cases of dengue between September 1990 and August 2002 were geocoded and grouped according to the urban census tracts of the municipality of São José do Rio Preto, Southeastern Brazil. A socioeconomic factor generated by principal component analysis was used to group census tracts into four socioeconomic levels. Incidence rates were calculated for each year and four-year period for each of the census sectors, considering the period from September of one year to August of the next. Thematic maps of sectors, grouped into each of the four socioeconomic levels and their respective disease incidences, are presented. RESULTS: Principal component analysis generated a socioeconomic factor that accounted for 87% of total variation. This factor was associated with dengue incidence only for the 1994-95 period. CONCLUSIONS: The lack of an association between risk of occurrence of dengue and socioeconomic levels in almost all years studied indicates that this issue deserves further study, and may vary depending on the settings found in each municipality. It will be important to determine the spatial relationship between dengue transmission and other variables, such as degree of immunity in the population, effectiveness of control measures, degree of infestation by the vector; and population habits and behaviors, among others.
Authors: Labib I Faruque; Rashid Uz Zaman; A S M Alamgir; Emily S Gurley; Rashidul Haque; Mahmudur Rahman; Stephen P Luby Journal: Am J Trop Med Hyg Date: 2012-01 Impact factor: 2.345
Authors: Gabriela M Marón; A Wilfrido Clará; John Wesley Diddle; Ernesto B Pleités; Laura Miller; Gene Macdonald; Elisabeth E Adderson Journal: Am J Trop Med Hyg Date: 2010-02 Impact factor: 2.345
Authors: Ricardo Cordeiro; Maria R Donalisio; Valmir R Andrade; Ana C N Mafra; Luciana B Nucci; John C Brown; Celso Stephan Journal: BMC Public Health Date: 2011-05-20 Impact factor: 3.295
Authors: Mariana Kikuti; Geraldo M Cunha; Igor A D Paploski; Amelia M Kasper; Monaise M O Silva; Aline S Tavares; Jaqueline S Cruz; Tássia L Queiroz; Moreno S Rodrigues; Perla M Santana; Helena C A V Lima; Juan Calcagno; Daniele Takahashi; André H O Gonçalves; Josélio M G Araújo; Kristine Gauthier; Maria A Diuk-Wasser; Uriel Kitron; Albert I Ko; Mitermayer G Reis; Guilherme S Ribeiro Journal: PLoS Negl Trop Dis Date: 2015-07-21
Authors: Silmery da Silva Brito Costa; Maria Dos Remédios Freitas Carvalho Branco; José Aquino Junior; Zulimar Márita Ribeiro Rodrigues; Rejane Christine de Sousa Queiroz; Adriana Soraya Araujo; Ana Patrícia Barros Câmara; Polyana Sousa Dos Santos; Emile Danielly Amorim Pereira; Maria do Socorro da Silva; Flávia Regina Vieira da Costa; Amanda Valéria Damasceno Dos Santos; Maria Nilza Lima Medeiros; José Odval Alcântara Júnior; Vitor Vieira Vasconcelos; Alcione Miranda Dos Santos; Antônio Augusto Moura da Silva Journal: Rev Inst Med Trop Sao Paulo Date: 2018-10-25 Impact factor: 1.846