Literature DB >> 30593736

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

Pandji W Dhewantara1,2, Colleen L Lau3,4, Kathryn J Allan5, Wenbiao Hu6, Wenyi Zhang7, Abdullah A Mamun8, Ricardo J Soares Magalhães1,4.   

Abstract

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.
© 2018 Blackwell Verlag GmbH.

Entities:  

Keywords:  GIS; Leptospirosis; One Health; ecoepidemiology; environmental epidemiology; geostatistics; mapping; modelling

Mesh:

Year:  2018        PMID: 30593736     DOI: 10.1111/zph.12549

Source DB:  PubMed          Journal:  Zoonoses Public Health        ISSN: 1863-1959            Impact factor:   2.702


  3 in total

1.  Linking rattiness, geography and environmental degradation to spillover Leptospira infections in marginalised urban settings: An eco-epidemiological community-based cohort study in Brazil.

Authors:  Emanuele Giorgi; Federico Costa; Max T Eyre; Fábio N Souza; Ticiana S A Carvalho-Pereira; Nivison Nery; Daiana de Oliveira; Jaqueline S Cruz; Gielson A Sacramento; Hussein Khalil; Elsio A Wunder; Kathryn P Hacker; José E Hagan; James E Childs; Mitermayer G Reis; Mike Begon; Peter J Diggle; Albert I Ko
Journal:  Elife       Date:  2022-09-16       Impact factor: 8.713

2.  The interrelationship between meteorological parameters and leptospirosis incidence in Hambantota district, Sri Lanka 2008-2017 and practical implications.

Authors:  N D B Ehelepola; Kusalika Ariyaratne; D S Dissanayake
Journal:  PLoS One       Date:  2021-01-22       Impact factor: 3.240

3.  Determining the spatial distribution of environmental and socio-economic suitability for human leptospirosis in the face of limited epidemiological data.

Authors:  Maximiliano A Cristaldi; Thibault Catry; Auréa Pottier; Vincent Herbreteau; Emmanuel Roux; Paulina Jacob; M Andrea Previtali
Journal:  Infect Dis Poverty       Date:  2022-08-04       Impact factor: 10.485

  3 in total

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