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Incidence and spatial distribution of cases of dengue, from 2010 to 2019: an ecological study
Morais, Petrúcio Luiz Lins de; School of Medical SciencesCastanha, Priscila Mayrelle Silva; School of Medical SciencesMontarroyos, Ulisses Ramos.
  • Morais, Petrúcio Luiz Lins de; Universidade de Pernambuco. Department of Biological Sciences. Garanhuns. BR
  • School of Medical SciencesCastanha, Priscila Mayrelle Silva; Universidade de Pernambuco. Institute of Biological Sciences. School of Medical SciencesCastanha, Priscila Mayrelle Silva. Recife. BR
  • School of Medical SciencesMontarroyos, Ulisses Ramos; Universidade de Pernambuco. Institute of Biological Sciences. School of Medical SciencesMontarroyos, Ulisses Ramos. Recife. BR
São Paulo med. j ; 138(6): 554-560, Nov.-Dec. 2020. tab, graf
Article in English | LILACS, SES-SP | ID: biblio-1145129
ABSTRACT
ABSTRACT

BACKGROUND:

Dengue is an arbovirus that has caused serious problem in Brazil, putting the public health system under severe stress. Understanding its incidence and spatial distribution is essential for disease control and prevention.

OBJECTIVE:

To perform an analysis on dengue incidence and spatial distribution in a medium-sized, cool-climate and high-altitude city. DESIGN AND

SETTING:

Ecological study carried out in a public institution in the city of Garanhuns, Pernambuco, Brazil.

METHODS:

Secondary data provided by specific agencies in each area were used for spatial analysis and elaboration of kernel maps, incidence calculations, correlations and percentages of dengue occurrence. The Geocentric Reference System for the Americas (Sistema de Referência Geocêntrico para as Américas, SIRGAS), 2000, was the software of choice.

RESULTS:

The incidence rates were calculated per 100,000 inhabitants. Between 2010 and 2019, there were 6,504 cases and the incidence was 474.92. From 2010 to 2014, the incidence was 161.46 for a total of 1,069 cases. The highest incidence occurred in the period from 2015 to 2019 out of a total of 5,435 cases, the incidence was 748.65, representing an increase of 485.97%. Population density and the interaction between two climatic factors, i.e. atypical temperature above 31 °C and relative humidity above 31.4%, contributed to the peak incidence of dengue, although these variables were not statistically significant (P > 0.05).

CONCLUSION:

The dengue incidence levels and spatial distribution reflected virus and vector adjustment to the local climate. However, there was no correlation between climatic factors and occurrences of dengue in this city.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Dengue Type of study: Incidence study / Prognostic study / Risk factors Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: São Paulo med. j Year: 2020 Type: Article Institution/Affiliation country: Universidade de Pernambuco/BR

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Full text: Available Index: LILACS (Americas) Main subject: Dengue Type of study: Incidence study / Prognostic study / Risk factors Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: São Paulo med. j Year: 2020 Type: Article Institution/Affiliation country: Universidade de Pernambuco/BR