ArticlePLoS neglected tropical diseases2019
Ecological niche modelling for predicting the risk of cutaneous leishmaniasis in the Neotropical moist forest biome.
Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.
- Environmental and socioeconomic risk factors associated with visceral and cutaneous leishmaniasis: a systematic review.Parasitology research · 2020Pooled it
- Potential risk of heartworm infection in the United States of America and its projected incidence by 2100.Parasites & vectors · 2026Article
- Impact of Climatic Factors on the Incidence of Cutaneous Leishmaniasis in Essaouira, Morocco: A Decadal Analysis (2014-2023).Epidemiologia (Basel, Switzerland) · 2026Article
- Assessment of the monthly risk of dirofilariosis infection in Europe and its projection to 2100 under climate change from a One Health perspective.Parasites & vectors · 2025Article
- The Human Footprint and Climate Change Shape Current and Future Scenarios of Visceral Leishmaniasis Distribution in Doce River Basin in Brazil.The American journal of tropical medicine and hygiene · 2025Article
- Future climate change and the distributional shift of the common vampire bat, Desmodus rotundus.Scientific reports · 2025Article
- Analysis of the Current Risk ofTransboundary and emerging diseases · 2025Article
- Forecasting habitat suitability of tropical karst plants in a warmer world - Thailand'sFrontiers in plant science · 2025Article
- The Impact of Climatological Factors on the Incidence of Cutaneous Leishmaniasis (CL) in Colombian Municipalities from 2017 to 2019.Pathogens (Basel, Switzerland) · 2024Article
- Article
- Analysis of the current risk ofFrontiers in veterinary science · 2024Article
- Predicting Suitable Areas for African Swine Fever Outbreaks in Wild Boars in South Korea and Their Implications for Managing High-Risk Pig Farms.Animals : an open access journal from MDPI · 2023Article
- Association between the potential distribution of Lutzomyia longipalpis and Nyssomyia whitmani and leishmaniasis incidence in Piauí State, Brazil.PLoS neglected tropical diseases · 2023Article
- First report of Leishmania (Mundinia) martiniquensis in South American territory and confirmation of Leishbunyavirus infecting this parasite in a mare.Memorias do Instituto Oswaldo Cruz · 2023Article
- Fifty years of struggle to control cutaneous leishmaniasis in the highest endemic county in Iran: A longitudinal observation inferred with interrupted time series model.PLoS neglected tropical diseases · 2022Article
- Ecological niche modeling predicting the potential distribution of African horse sickness virus from 2020 to 2060.Scientific reports · 2022Article
- Integration of phlebotomine ecological niche modelling, and mapping of cutaneous leishmaniasis surveillance data, to identify areas at risk of under-estimation.Acta tropica · 2021Article
- Outbreak of Cutaneous Leishmaniasis among military personnel in French Guiana, 2020: Clinical, phylogenetic, individual and environmental aspects.PLoS neglected tropical diseases · 2021Article
- Spatial-temporal pattern of cutaneous leishmaniasis in Brazil.Infectious diseases of poverty · 2021Article
- Infestation risk of the intermediate snail host of Schistosoma japonicum in the Yangtze River Basin: improved results by spatial reassessment and a random forest approach.Infectious diseases of poverty · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A major challenge of eco-epidemiology is to determine which factors promote the transmission of infectious diseases and to establish risk maps that can be used by public health authorities. The geographic predictions resulting from ecological niche modelling have been widely used for modelling the future dispersion of vectors based on the occurrence records and the potential prevalence of the disease. The establishment of risk maps for disease systems with complex cycles such as cutaneous leishmaniasis (CL) can be very challenging due to the many inference networks between large sets of host and vector species, with considerable heterogeneity in disease patterns in space and time. One novelty in the present study is the use of human CL cases to predict the risk of leishmaniasis occurrence in response to anthropogenic, climatic and environmental factors at two different scales, in the Neotropical moist forest biome (Amazonian basin and surrounding forest ecosystems) and in the surrounding region of French Guiana. With a consistent data set never used before and a conceptual and methodological framework for interpreting data cases, we obtained risk maps with high statistical support. The predominantly identified human CL risk areas are those where the human impact on the environment is significant, associated with less contributory climatic and ecological factors. For both models this study highlights the importance of considering the anthropogenic drivers for disease risk assessment in human, although CL is mainly linked to the sylvatic and peri-urban cycle in Meso and South America.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.