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Identification of risk areas for arboviruses using traps for adults of Aedes aegypti and Aedes albopictus and remote sensing images

Grant number: 17/10297-1
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): December 01, 2017
Effective date (End): April 30, 2021
Field of knowledge:Health Sciences - Collective Health - Epidemiology
Principal researcher:Francisco Chiaravalloti Neto
Grantee:Camila Lorenz
Home Institution: Faculdade de Saúde Pública (FSP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated scholarship(s):19/08205-7 - Using remote sensing for risk mapping of adult Aedes aegypti infestation, BE.EP.PD

Abstract

The current epidemiological scenario in Brazil is worrisome, as in recent years thousands cases of dengue, zika and chikungunya have been reported, in addition to the recent re-emergence of yellow fever. The Aedes aegypti mosquito plays a fundamental role in the dissemination of all these diseases. The role of its sister species, Aedes albopictus, is still little known in Brazil, but may have a major future epidemiological impact. There is great difficulty in identifying arboviruses risk areas based only on the entomological indicators traditionally used in control programs, such as Breteau, Predial and Container indices. There are few studies that relate the presence of the adult mosquito with the direct occurrence of arbovirus cases and physical characteristics of the sites of the diseases. Thus, we propose to elaborate a model to detect areas of high risk for dengue, zika and chikungunya based on the presence of adult mosquitoes Ae. aegypti and remote sensing images. We can benefit from the use of satellite imagery and Unmanned Aerial Vehicles to acquire high quality aerial images that accurately report the physical characteristics of the sites with the presence of the vectors and with cases of arboviruses. The methodology developed here will allow the risk areas for the presence of Ae. aegypti and for the occurrence of these arboviruses are identified based only on the consultation of satellite images and orthophotos, allowing them to be prioritized by health services and control for the development of surveillance measures. In addition, we propose to evaluate the distribution and abundance of Ae. albopictus in the areas with presence of cases of the three arboviruses.

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Scientific publications (8)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
MORALEJO BERMUDI, PATRICIA MARQUES; LORENZ, CAMILA; DE AGUIAR, BRENO SOUZA; FAILLA, MARCELO ANTUNES; BARROZO, LIGIA VIZEU; CHIARAVALLOTI-NETO, FRANCISCO. Spatiotemporal ecological study of COVID-19 mortality in the city of Sao Paulo, Brazil: Shifting of the high mortality risk from areas with the best to those with the worst socio-economic conditions. TRAVEL MEDICINE AND INFECTIOUS DISEASE, v. 39, JAN-FEB 2021. Web of Science Citations: 0.
LORENZ, CAMILA; CASTRO, MARCIA C.; TRINDADE, PATRICIA M. P.; NOGUEIRA, MAURICIO L.; LAGE, MARIANA DE OLIVEIRA; QUINTANILHA, JOSE A.; PARRA, MAISA C.; DIBO, MARGARETH R.; FAVARO, ELIANE A.; GUIRADO, MARLUCI M.; CHIARAVALLOTI-NETO, FRANCISCO. Predicting Aedes aegypti infestation using landscape and thermal features. SCIENTIFIC REPORTS, v. 10, n. 1 DEC 10 2020. Web of Science Citations: 0.
DE AZEVEDO, THIAGO SALOMAO; LORENZ, CAMILA; CHIARAVALLOTI-NETO, FRANCISCO; MUREB SALLUM, MARIA ANICE. Kerteszia cruzii and extra-Amazonian malaria in Brazil: Challenges due to climate change in the Atlantic Forest. INFECTION GENETICS AND EVOLUTION, v. 85, NOV 2020. Web of Science Citations: 1.
DE AZEVEDO, THIAGO S.; LORENZ, CAMILA; CHIARAVALLOTI-NETO, FRANCISCO. Spatiotemporal evolution of dengue outbreaks in Brazil. Transactions of the Royal Society of Tropical Medicine and Hygiene, v. 114, n. 8, p. 593-602, AUG 2020. Web of Science Citations: 0.
LORENZ, CAMILA; CHIARAVALLOTI-NETO, FRANCISCO; LAGE, MARIANA DE OLIVEIRA; QUINTANILHA, JOSE ALBERTO; PARRA, MAISA CARLA; DIBO, MARGARETH REGINA; FAVARO, ELIANE APARECIDA; GUIRADO, MARLUCI MONTEIRO; NOGUEIRA, MAURICIO LACERDA. Remote sensing for risk mapping of Aedes aegypti infestations: Is this a practical task?. Acta Tropica, v. 205, MAY 2020. Web of Science Citations: 0.
LORENZ, CAMILA; SUESDEK, LINCOLN. The use of wing shape for characterising macroevolution in mosquitoes (Diptera: Culicidae). INFECTION GENETICS AND EVOLUTION, v. 77, JAN 2020. Web of Science Citations: 0.
LORENZ, CAMILA; RIBEIRO, ANA FREITAS; CHIARAVALLOTI-NETO, FRANCISCO. Mayaro virus distribution in South America. Acta Tropica, v. 198, OCT 2019. Web of Science Citations: 0.
THIAGO SALOMÃO DE AZEVEDO; CAMILA LORENZ; FRANCISCO CHIARAVALLOTI-NETO. Risk mapping of visceral leishmaniasis in Brazil. Revista da Sociedade Brasileira de Medicina Tropical, v. 52, p. -, 2019. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.