Parasites & vectors · 2026
Human occupation, not forest structure, determines sand fly abundance in the Amazon.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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История · было → стало
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Brilhante Andreia Fernandes, Galvis-Ovallos Fredy, Jordão Felipe Trovalim, Ramos Leandro José, Ilacqua Roberto Cardoso, Abreu Wandercleyson Uchôa, Nolan Melissa Suzanne, Madeira Fernanda Portela, Silva Glauco Martins, Santos Thais Costa, Prist Paula Ribeiro, Valle Denis, Sperança Marcia Aparecida, Laporta Gabriel Zorello
Аннотация
BACKGROUND: Across Amazonian deforestation frontiers, phlebotomine sand flies transmit Leishmania spp., the causative agents of American cutaneous leishmaniasis (ACL). Landscape modification can alter vector ecology and transmission risk, yet the relative roles of forest cover, landscape configuration, and deforestation timeline remain poorly understood. We evaluated how landscape composition and configuration, assessed across multiple spatial scales, and deforestation timeline influence sand fly abundance and Leishmania infection in Cruzeiro do Sul, Acre, Brazil.
METHODS: Sand flies were collected at 20 study sites during two cross-sectional surveys conducted in 2022 and 2024. Landscape metrics, including forest cover and edge density, were quantified within circular buffers of 3, 5, and 7 km2 around each site. Deforestation timeline, defined as time since initial forest loss, was used as a proxy for the duration of human occupation. Associations with sand fly abundance and Leishmania infection were assessed using Bayesian regression models, applying negative binomial models for abundance and binomial models for infection probability. Infection was detected using quantitative polymerase chain reaction (PCR) and confirmed by Sanger sequencing.
RESULTS: Forest cover and edge density, across all spatial scales, were not associated with sand fly abundance or Leishmania infection. In contrast, longer deforestation timelines were consistently associated with higher sand fly abundance, driven largely by increased captures of the sand fly species Nyssomyia antunesi. No landscape variable showed a clear association with infection occurrence.
CONCLUSIONS: Sand fly abundance in this Amazonian frontier was associated with the duration of human occupation rather than with current forest structure. These findings suggest that vector populations can persist in human-modified landscapes and highlight the importance of incorporating deforestation timeline into ACL surveillance and risk assessment.
METHODS: Sand flies were collected at 20 study sites during two cross-sectional surveys conducted in 2022 and 2024. Landscape metrics, including forest cover and edge density, were quantified within circular buffers of 3, 5, and 7 km2 around each site. Deforestation timeline, defined as time since initial forest loss, was used as a proxy for the duration of human occupation. Associations with sand fly abundance and Leishmania infection were assessed using Bayesian regression models, applying negative binomial models for abundance and binomial models for infection probability. Infection was detected using quantitative polymerase chain reaction (PCR) and confirmed by Sanger sequencing.
RESULTS: Forest cover and edge density, across all spatial scales, were not associated with sand fly abundance or Leishmania infection. In contrast, longer deforestation timelines were consistently associated with higher sand fly abundance, driven largely by increased captures of the sand fly species Nyssomyia antunesi. No landscape variable showed a clear association with infection occurrence.
CONCLUSIONS: Sand fly abundance in this Amazonian frontier was associated with the duration of human occupation rather than with current forest structure. These findings suggest that vector populations can persist in human-modified landscapes and highlight the importance of incorporating deforestation timeline into ACL surveillance and risk assessment.