Malaria Risk Drivers in the Brazilian Amazon
Land Use—Land Cover Interactions and Biological Diversity
Bibliographic Data
| ID | 15477532 |
|---|---|
| Authors | William González-Daza (0000-0003-1059-7181, Centro de Excelência em Bioinformática, corresponding author), Renata L Muylaert (0000-0002-6466-6210, Massey University), Thadeu Sobral‐Souza (0000-0002-2367-2315, Universidade Federal de Mato Grosso), Victor Lemes Landeiro (0000-0002-9341-6050, Universidade Federal de Mato Grosso) |
| Year | 2023 |
| Volume | 20 |
| Issue | 15 |
| Pages | 6497-6497 |
| Publication date | 2023-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20156497 |
| PMID | 37569037 |
| OpenAlex | W4385455102 |
| Language | EN |
| References cited | 17 |
Malaria is a prevalent disease in several tropical and subtropical regions, including Brazil, where it remains a significant public health concern. Even though there have been substantial efforts to decrease the number of cases, the reoccurrence of epidemics in regions that have been free of cases for many years presents a significant challenge. Due to the multifaceted factors that influence the spread of malaria, influencing malaria risk factors were analyzed through regional outbreak cluster analysis and spatio-temporal models in the Brazilian Amazon, incorporating climate, land use/cover interactions, species richness, and number of endemic birds and amphibians. Results showed that high amphibian and bird richness and endemism correlated with a reduction in malaria risk. The presence of forest had a risk-increasing effect, but it depended on its juxtaposition with anthropic land uses. Biodiversity and landscape composition, rather than forest formation presence alone, modulated malaria risk in the period. Areas with low endemic species diversity and high human activity, predominantly anthropogenic landscapes, posed high malaria risk. This study underscores the importance of considering the broader ecological context in malaria control efforts
Agroforestry · Amazon rainforest · Biodiversity · Biology · Context (archaeology · Deforestation (computer science · Endemism · Environmental health · Geography · Land use · Malaria · Public health · Socioeconomics · Species richness · Malaria Research and Control · Medicine · Mosquito-borne diseases and control · Zoonotic diseases and public health · Ecology
Bayesian image restoration, with two applications in spatial statistics
Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
Updated high‐resolution grids of monthly climatic observations – the CRU TS3 .10 Dataset
Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine
Bayesian Spatial Modelling with R - Inla
Impact of Land-use Change on Dengue and Malaria in Northern Thailand
Amphibian collapses increased malaria incidence in Central America
Does deforestation increase malaria prevalence? Evidence from satellite data and health surveys
| Citation velocity | historical |
|---|---|
| Highly cited | No |