Predicting Aedes aegypti infestation using landscape and thermal features (2020)
- Authors:
- USP affiliated authors: LORENZ, CAMILA - FSP ; CHIARAVALLOTI NETO, FRANCISCO - FSP ; LAGE, MARIANA DE OLIVEIRA - IEE ; QUINTANILHA, JOSE ALBERTO - EP
- Unidades: FSP; IEE; EP
- DOI: 10.1038/s41598-020-78755-8
- Subjects: AEDES; ESPAÇO URBANO; INSETOS VETORES; CONTROLE DE DOENÇAS TRANSMISSÍVEIS; SURTOS DE DOENÇAS; SÃO JOSÉ DO RIO PRETO (SP)
- Language: Inglês
- Imprenta:
- Source:
- Título: Scientific Reports
- ISSN: 2045-2322
- Volume/Número/Paginação/Ano: v.10, on-line, 2020
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LORENZ, Camila et al. Predicting Aedes aegypti infestation using landscape and thermal features. Scientific Reports, v. 10, 2020Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/8c69ff66-7440-47bb-965a-1086b236d573/HEP_112_2020.pdf. Acesso em: 15 fev. 2026. -
APA
Lorenz, C., Guirado, M. M., Chiaravalloti-Neto, F., Castro, M. C., Trindade, P. M. P., Nogueira, M. L., et al. (2020). Predicting Aedes aegypti infestation using landscape and thermal features. Scientific Reports, 10. doi:10.1038/s41598-020-78755-8 -
NLM
Lorenz C, Guirado MM, Chiaravalloti-Neto F, Castro MC, Trindade PMP, Nogueira ML, Lage M de O, Quintanilha JA, Parra MCP, Dibo MR, Fávaro EA. Predicting Aedes aegypti infestation using landscape and thermal features [Internet]. Scientific Reports. 2020 ;10[citado 2026 fev. 15 ] Available from: https://repositorio.usp.br/directbitstream/8c69ff66-7440-47bb-965a-1086b236d573/HEP_112_2020.pdf -
Vancouver
Lorenz C, Guirado MM, Chiaravalloti-Neto F, Castro MC, Trindade PMP, Nogueira ML, Lage M de O, Quintanilha JA, Parra MCP, Dibo MR, Fávaro EA. Predicting Aedes aegypti infestation using landscape and thermal features [Internet]. Scientific Reports. 2020 ;10[citado 2026 fev. 15 ] Available from: https://repositorio.usp.br/directbitstream/8c69ff66-7440-47bb-965a-1086b236d573/HEP_112_2020.pdf - Remote sensing for risk mapping of Aedes aegypti infestations: Is this a practical task?
- Use of an Extended Premise Condition Index for detection of priority areas for vector control actions
- Ovipositional Reproduction of the Dengue Vector for Identifying High-Risk Urban Areas
- Influence of strategic points in the dispersion of Aedes aegypti in infested areas
- Spatiotemporal evolution of dengue outbreaks in Brazil
- Risk mapping of visceral leishmaniasis in Brazil
- Deforestation hotspots, climate crisis, and the perfect scenario for the next epidemic: The Amazon time bomb
- Impact of climate change on West Nile virus distribution in South America
- Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control
- Control methods for Aedes aegypti: Have we lost the battle?
Informações sobre o DOI: 10.1038/s41598-020-78755-8 (Fonte: oaDOI API)
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