Modelagem Geoestatística Da Ocorrência De Casos De Leptospirose E Alagamentos No Municipio De Curitiba – Pr, No Ano De 2014

Leptospirosis is a global zoonotic disease that the transmission is driven by complex geographical and temporal variation in demographics, animal hosts and socioecological factors. This results in complex challenges for the identification of high‐risk areas. Spatial and temporal epidemiological tools could be used to support leptospirosis control programs, but the adequacy of its application has not been evaluated. We searched literature in six databases including PubMed, Web of Science, EMBASE, Scopus, SciELO and Zoological Record to systematically review and critically assess the use of spatial and temporal analytical tools for leptospirosis and to provide general framework for its application in future studies. We reviewed 115 articles published between 1930 and October 2018 from 41 different countries. Of these, 65 (56.52%) articles were on human leptospirosis, 39 (33.91%) on animal leptospirosis and 11 (9.5%) used data from both human and animal leptospirosis. Spatial analytical (n = 106) tools were used to describe the distribution of incidence/prevalence at various geographical scales (96.5%) and to explored spatial patterns to detect clustering and hot spots (33%). A total of 51 studies modelled the relationships of various variables on the risk of human (n = 31), animal (n = 17) and both human and animal infection (n = 3). Among those modelling studies, few studies had generated spatially structured models and predictive maps of human (n = 2/31) and animal leptospirosis (n = 1/17). In addition, nine studies applied time‐series analytical tools to predict leptospirosis incidence. Spatial and temporal analytical tools have been greatly utilized to improve our understanding on leptospirosis epidemiology. Yet the quality of the epidemiological data, the selection of covariates and spatial analytical techniques should be carefully considered in future studies to improve usefulness of evidence as tools to support leptospirosis control. A general framework for the application of spatial analytical tools for leptospirosis was proposed.

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Spatial epidemiological approaches to inform leptospirosis surveillance and control: A systematic review and critical appraisal of methods

Dhewantara

Lau

Allan

et al. 2018

Zoonoses and Public Health

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Análise espacial da leptospirose no Brasil

et al. 2020

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RESUMO A leptospirose é um problema de saúde pública mundial. No Brasil, ela é uma doença de notificação compulsória e está relacionada a áreas com precárias condições sanitárias. Foi realizado um estudo ecológico retrospectivo para observar a distribuição espacial e temporal de casos confirmados da leptospirose em escala nacional no período entre 2007 e 2017. A espacialização da leptospirose utilizou técnicas de geoprocessamento por análise de padrões pontuais e por mapas de densidade Kernel. Os resultados revelaram que, no período, foram registrados 42.310 casos confirmados de leptospirose no País, com média anual de 3.846 casos e prevalência de 1,9 a cada 100 mil habitantes. As localidades com mais casos prevalentes foram as regiões Sul e Norte. O Sudeste apresentou taxa de prevalência inferior à taxa nacional em virtude da alta densidade demográfica. O método Kernel se mostrou útil na análise global da situação epidemiológica da leptospirose nas regiões do Brasil.

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Modelagem Geoestatística Da Ocorrência De Casos De Leptospirose E Alagamentos No Municipio De Curitiba – Pr, No Ano De 2014

Cited by 2 publications

References 8 publications

Spatial epidemiological approaches to inform leptospirosis surveillance and control: A systematic review and critical appraisal of methods

Spatial epidemiological approaches to inform leptospirosis surveillance and control: A systematic review and critical appraisal of methods

Análise espacial da leptospirose no Brasil

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