ArticleThe American journal of tropical medicine and hygiene2010
Geographic information systems and applied spatial statistics are efficient tools to study Hansen's disease (leprosy) and to determine areas of greater risk of disease.
Article in The American journal of tropical medicine and hygiene, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.
- Socioeconomic risk markers of leprosy in high-burden countries: A systematic review and meta-analysis.PLoS neglected tropical diseases · 2018Pooled it
- Spatial, Social and Serological Factors in the Prevalence and Risk of Leprosy in Areas of High Endemicity: An Integrative Review.Infectious disease reports · 2025Review
- Identifying clusters of leprosy patients in India: A comparison of methods.PLoS neglected tropical diseases · 2022Article
- Socioeconomic disparities associated with symptomatic Zika virus infections in pregnancy and congenital microcephaly: A spatiotemporal analysis from Goiânia, Brazil (2016 to 2020).PLoS neglected tropical diseases · 2022Article
- Spatio-temporal analysis of leprosy risks in a municipality in the state of Mato Grosso-Brazilian Amazon: results from the leprosy post-exposure prophylaxis program in Brazil.Infectious diseases of poverty · 2022Article
- Determining target populations for leprosy prophylactic interventions: a hotspot analysis in Indonesia.BMC infectious diseases · 2022Article
- Detection of Mycobacterium leprae DNA in clinical and environmental samples using serological analysis and PCR.Molecular biology reports · 2021Article
- Article
- Ticks as potential vectors of Mycobacterium leprae: Use of tick cell lines to culture the bacilli and generate transgenic strains.PLoS neglected tropical diseases · 2018Article
- Spatial clustering and local risk of leprosy in São Paulo, Brazil.PLoS neglected tropical diseases · 2017Article
- Identifying Leprosy and Those at Risk of Developing Leprosy by Detection of Antibodies against LID-1 and LID-NDO.PLoS neglected tropical diseases · 2016Article
- Characterization of spatial distribution of Tetranychus urticae in peppermint in California and implication for improving sampling plan.Experimental & applied acarology · 2016Article
- Human migration, railways and the geographic distribution of leprosy in Rio Grande do Norte State--Brazil.Leprosy review · 2015Article
- Spatial epidemiology and serologic cohorts increase the early detection of leprosy.BMC infectious diseases · 2015Article
- Article
- Examining ERBB2 as a candidate gene for susceptibility to leprosy (Hansen's disease) in Brazil.Memorias do Instituto Oswaldo Cruz · 2014Article
- Spatial analysis spotlighting early childhood leprosy transmission in a hyperendemic municipality of the Brazilian Amazon region.PLoS neglected tropical diseases · 2014Article
- Active surveillance of Hansen's Disease (leprosy): importance for case finding among extra-domiciliary contacts.PLoS neglected tropical diseases · 2013Article
- Spatial analysis of preterm birth demonstrates opportunities for targeted intervention.Maternal and child health journal · 2012Article
- Spatially explicit analyses of anopheline mosquitoes indoor resting density: implications for malaria control.PloS one · 2012Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Applied Spatial Statistics used in conjunction with geographic information systems (GIS) provide an efficient tool for the surveillance of diseases. Here, using these tools we analyzed the spatial distribution of Hansen's disease in an endemic area in Brazil. A sample of 808 selected from a universe of 1,293 cases was geocoded in Mossoró, Rio Grande do Norte, Brazil. Hansen's disease cases were not distributed randomly within the neighborhoods, with higher detection rates found in more populated districts. Cluster analysis identified two areas of high risk, one with a relative risk of 5.9 (P = 0.001) and the other 6.5 (P = 0.001). A significant relationship between the geographic distribution of disease and the social economic variables indicative of poverty was observed. Our study shows that the combination of GIS and spatial analysis can identify clustering of transmissible disease, such as Hansen's disease, pointing to areas where intervention efforts can be targeted to control disease.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.