SciELO - Scientific Electronic Library Online

 
vol.31 issue1Profile of hospital admissions and deaths due to severe acute respiratory syndrome caused by COVID-19 in Piauí, Brazil: a descriptive study, 2020-2021Costs of hospital admission authorizations due to falls among older people in the Brazilian National Health System, Brazil, 2000-2020: a descriptive study author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO

Share


Epidemiologia e Serviços de Saúde

Print version ISSN 1679-4974On-line version ISSN 2237-9622

Abstract

RAMOS, Antônio Carlos Vieira et al. Temporal evolution and spatial distribution of leprosy in a municipality with low endemicity in São Paulo state, Brazil. Epidemiol. Serv. Saúde [online]. 2022, vol.31, n.1, e2021951.  Epub Apr 04, 2022. ISSN 1679-4974.  http://dx.doi.org/10.1590/s1679-49742022000100018.

Objective

To analyze the spatial and temporal distribution of leprosy in a scenario of low endemicity in the state of São Paulo, Brazil.

Methods

Ecological study with leprosy cases in Ribeirão Preto, between 2006 to 2016. The temporal trend of leprosy detection was verified through the decomposition of time series and identified areas of high and low occurrence of the disease using the Getis-Ord Gi* technique.

Results

There were 890 cases, and the detection rate showed an increasing trend in the period from 2011 to 2015, with an average growth of 1% per month. Areas of high occurrence of the disease were identified in the northern region of the city (99% and 95% confidence).

Conclusion

The temporal analysis showed that the rate of detection of leprosy presented an increasing trend, and the spatial analysis showed that the region of the municipality with the highest occurrence of the disease is characterized by presenting the greatest social inequalities.

Keywords : Leprosy; Epidemiology; Spatial Analysis; Time Series Studies; Ecological Studies.

        · abstract in Portuguese | Spanish     · text in English | Portuguese     · English ( pdf ) | Portuguese ( pdf )