ArticleScientific reports2018
Spatiotemporal dynamics and risk factors for human Leptospirosis in Brazil.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Nairobi Sheep Disease Virus: A Historical and Epidemiological Perspective.Frontiers in veterinary science · 2020Pooled it
- Changing epidemiology of leptospirosis in China from 1955 to 2022.Infectious diseases of poverty · 2025Article
- Genetic Characterization and Zoonotic Potential ofTropical medicine and infectious disease · 2025Article
- Leptospirosis-Improving Healthcare Outcomes for a Neglected Tropical Disease.Open forum infectious diseases · 2025Review
- Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach.PLoS neglected tropical diseases · 2025Article
- Risk of human leptospirosis in Colombia: spatiotemporal analysis and related hydroclimatic factors.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2024Article
- Identifying the Drivers Related to Animal Reservoirs, Environment, and Socio-Demography of Human Leptospirosis in Different Community Types of Southern Chile: An Application of Machine Learning Algorithm in One Health Perspective.Pathogens (Basel, Switzerland) · 2024Article
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- One Health Approach to Leptospirosis: Human-Dog Seroprevalence Associated to Socioeconomic and Environmental Risk Factors in Brazil over a 20-Year Period (2001-2020).Tropical medicine and infectious disease · 2023Article
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- Spatiotemporal relative risk distribution of porcine reproductive and respiratory syndrome virus in the United States.Frontiers in veterinary science · 2023Article
- Improving the precision of maternal, newborn, and child health impact through geospatial analysis of the association of contextual and programmatic factors with health trends in Bihar, India.Journal of global health · 2022Article
- Determining the spatial distribution of environmental and socio-economic suitability for human leptospirosis in the face of limited epidemiological data.Infectious diseases of poverty · 2022Article
- Spatial-temporal patterns and risk factors for human leptospirosis in Thailand, 2012-2018.Scientific reports · 2022Article
- Challenges for the development of a universal vaccine against leptospirosis revealed by the evaluation of 22 vaccine candidates.Frontiers in cellular and infection microbiology · 2022Article
- Spatio-temporal dynamics of dengue-related deaths and associated factors.Revista do Instituto de Medicina Tropical de Sao Paulo · 2022Article
- Vector Surveillance, Host Species Richness, and Demographic Factors as West Nile Disease Risk Indicators.Viruses · 2021Article
- Gaps in health security related to wildlife and environment affecting pandemic prevention and preparedness, 2007-2020.Bulletin of the World Health Organization · 2021Review
- Article
- The Potential Distribution ofFrontiers in veterinary science · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Leptospirosis is an emerging neglected tropical disease with a worldwide significant global health burden. Between 2000 and 2016, there were 63,302 cases of human leptospirosis and 6,064 deaths reported in Brazil. We modeled the spatiotemporal risk dynamics of human leptospirosis morbidity and lethality, and attributed an easily interpretable risk-based priority index (PI) for all Brazilian federative units to suggest improvements to the national surveillance system. We also developed a conceptual framework of causality and estimated the effects of environmental and socioeconomic determinants of morbidity and lethality. Spatiotemporal risk patterns of morbidity and lethality differed. For morbidity, the pattern was mainly spatial, whereas lethality was mainly explained by the spatiotemporal interaction. The hypothesized causal model explained a relevant fraction of the heterogeneity in the spatial and spatiotemporal interaction patterns. The increase in soil moisture, precipitation, poverty, and the decrease in the proportion of urban households, acted as risk factors. The increase in the proportion of households in which waste is directly collected and in temperature were preventive factors. The structured temporal trend was increasing for morbidity and decreasing for lethality. In terms of morbidity, it was clear that the prioritization should be focused in a couple of states, mainly Acre. In terms of lethality, the allocation of resources need not be as asymmetric, but there was nonetheless a prioritization order. The proposed approach can be used to characterize spatiotemporal dynamics of other diseases and to inform decision makers.
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Registered trials
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