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Geographical Scale Effects on the Analysis of Leptospirosis Determinants

Author

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  • Renata Gracie

    (FIOCRUZ, ICICT/LIS, Núcleo de Geoprocessamento, Avenida Brasil, 4365 Pavilhão Haity Moussatché, sala 231, Rio de Janeiro 21045-900, Brazil)

  • Christovam Barcellos

    (FIOCRUZ, ICICT/LIS, Núcleo de Geoprocessamento, Avenida Brasil, 4365 Pavilhão Hai ty Moussatché, sala 231- Manguinhos, Rio de Janeiro 21045-900, Brazil)

  • Mônica Magalhães

    (FIOCRUZ, ICICT/LIS, Núcleo de Geoprocessamento, Avenida Brasil, 4365 Pavilhão Hai ty Moussatché, sala 231- Manguinhos, Rio de Janeiro 21045-900, Brazil)

  • Reinaldo Souza-Santos

    (FIOCRUZ, ENSP/DENSP, Rua Leopoldo Bulhões, 1480 ENSP, sala 607—Manguinhos, Rio de Janeiro, ENSP 21041-210, Brazil)

  • Paulo Rubens Guimarães Barrocas

    (FIOCRUZ, ENSP/DSSA, Rua Leopoldo Bulhões, 1480 ENSP, sala 521—Manguinhos, Rio de Janeiro 21041-210, Brazil)

Abstract

Leptospirosis displays a great diversity of routes of exposure, reservoirs, etiologic agents, and clinical symptoms. It occurs almost worldwide but its pattern of transmission varies depending where it happens. Climate change may increase the number of cases, especially in developing countries, like Brazil. Spatial analysis studies of leptospirosis have highlighted the importance of socioeconomic and environmental context. Hence, the choice of the geographical scale and unit of analysis used in the studies is pivotal, because it restricts the indicators available for the analysis and may bias the results. In this study, we evaluated which environmental and socioeconomic factors, typically used to characterize the risks of leptospirosis transmission, are more relevant at different geographical scales ( i.e. , regional, municipal, and local). Geographic Information Systems were used for data analysis. Correlations between leptospirosis incidence and several socioeconomic and environmental indicators were calculated at different geographical scales. At the regional scale, the strongest correlations were observed between leptospirosis incidence and the amount of people living in slums, or the percent of the area densely urbanized. At the municipal scale, there were no significant correlations. At the local level, the percent of the area prone to flooding best correlated with leptospirosis incidence.

Suggested Citation

  • Renata Gracie & Christovam Barcellos & Mônica Magalhães & Reinaldo Souza-Santos & Paulo Rubens Guimarães Barrocas, 2014. "Geographical Scale Effects on the Analysis of Leptospirosis Determinants," IJERPH, MDPI, vol. 11(10), pages 1-18, October.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:10:p:10366-10383:d:41035
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    References listed on IDEAS

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    1. Renato B Reis & Guilherme S Ribeiro & Ridalva D M Felzemburgh & Francisco S Santana & Sharif Mohr & Astrid X T O Melendez & Adriano Queiroz & Andréia C Santos & Romy R Ravines & Wagner S Tassinari & M, 2008. "Impact of Environment and Social Gradient on Leptospira Infection in Urban Slums," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 2(4), pages 1-10, April.
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    1. Chilochibi Chiziba & Laina D. Mercer & Ousmane Diallo & Amelia Bertozzi-Villa & Daniel J. Weiss & Jaline Gerardin & Ifeoma D. Ozodiegwu, 2024. "Socioeconomic, Demographic, and Environmental Factors May Inform Malaria Intervention Prioritization in Urban Nigeria," IJERPH, MDPI, vol. 21(1), pages 1-20, January.
    2. Maysa Pellizzaro & Camila Marinelli Martins & Ana Carolina Yamakawa & Diogo da Cunha Ferraz & Vivien Midori Morikawa & Fernando Ferreira & Andrea Pires dos Santos & Alexander Welker Biondo & Helio Lan, 2019. "Molecular detection of Leptospira spp. in rats as early spatial predictor for human disease in an endemic urban area," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-11, May.

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