Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control (2021)
- Authors:
- USP affiliated authors: CHIARAVALLOTI NETO, FRANCISCO - FSP ; LORENZ, CAMILA - FSP
- Unidade: FSP
- DOI: 10.1371/journal.pone.0258681
- Subjects: DENGUE; FATORES SOCIOECONÔMICOS; ÁGUA; INSETOS VETORES; PREVENÇÃO DE DOENÇAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: San Francisco CA
- Date published: 2021
- Source:
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CUNHA, Higor Souza et al. Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control. PLoS One, v. 16, n. 12, p. art. e0258681 [24], 2021Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0258681. Acesso em: 14 fev. 2026. -
APA
Cunha, H. S., Chiaravalloti-Neto, F., Sclauser, B. S., Wildemberg, P. F., Fernades, E. A. M., Santos, J. A. dos, et al. (2021). Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control. PLoS One, 16( 12), art. e0258681 [24]. doi:10.1371/journal.pone.0258681 -
NLM
Cunha HS, Chiaravalloti-Neto F, Sclauser BS, Wildemberg PF, Fernades EAM, Santos JA dos, Lage M de O, Lorenz C, Barbosa GL, Quintanilha JA. Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control [Internet]. PLoS One. 2021 ;16( 12): art. e0258681 [24].[citado 2026 fev. 14 ] Available from: https://doi.org/10.1371/journal.pone.0258681 -
Vancouver
Cunha HS, Chiaravalloti-Neto F, Sclauser BS, Wildemberg PF, Fernades EAM, Santos JA dos, Lage M de O, Lorenz C, Barbosa GL, Quintanilha JA. Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control [Internet]. PLoS One. 2021 ;16( 12): art. e0258681 [24].[citado 2026 fev. 14 ] Available from: https://doi.org/10.1371/journal.pone.0258681 - 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
- Control methods for Aedes aegypti: Have we lost the battle?
- Association between densities of adult and immature stages of Aedes aegypti mosquitoes in space and time: implications for vector surveillance
- Why are there no human West Nile virus outbreaks in South America?
- Detection of Zika RNA virus in Aedes aegypti and Aedes albopictus mosquitoes, São Paulo, Brazil
- Effects of climate change on the occurrence and distribution of Western equine encephalitis virus in South America
- Effects of the El Niño-Southern Oscillation and seasonal weather conditions on Aedes aegypti infestation in the State of São Paulo (Brazil): A Bayesian spatio-temporal study
Informações sobre o DOI: 10.1371/journal.pone.0258681 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
HEP_66_2021.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
