| Texto completo | |
| Autor(es): Mostrar menos - |
Musah, Anwar
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Dutra, Livia Marcia Mosso
;
Aldosery, Aisha
;
Browning, Ella
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Ambrizzi, Tercio
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Borges, Iuri Valerio Graciano
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Tunali, Merve
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Basibuyuk, Selma
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Yenigun, Orhan
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Moreno, Giselle Machado Magalhaes
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da Silva, Ana Clara Gomes
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dos Santos, Wellington Pinheiro
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de Lima, Clarisse Lins
;
Massoni, Tiago
;
Jones, Kate Elizabeth
;
Campos, Luiza Cintra
;
Kostkova, Patty
Número total de Autores: 17
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| Tipo de documento: | Artigo Científico |
| Fonte: | DATA; v. 7, n. 8, p. 13-pg., 2022-08-01. |
| Resumo | |
Certain weather conditions are inadvertently related to increased population of various mosquitoes. In order to predict the burden of mosquito populations in the Global South, it is imperative to integrate weather-related risk factors into such predictive models. There are a lot of online open-source weather platforms that provide historical, current and future weather forecasts which can be utilised for general predictions, and these electronic sources serve as an alternate option for weather data when physical weather stations are inaccessible (or inactive). Before using data from such online source, it is important to assess the accuracy against some baseline measure. In this paper, we therefore evaluated the accuracy and suitability of weather forecasts of two parameters namely temperature and humidity from the OpenWeatherMap API (an online weather platform) and compared them with actual measurements collected from the Brazilian weather stations (INMET). The evaluation was focused on two Brazilian cites, namely, Recife and Campina Grande. The intention is to prepare an early warning model which will harness data from OpenWeatherMap API for mosquito prediction. (AU) | |
| Processo FAPESP: | 20/11567-5 - Sistema de alerta precoce orientado por dados e envolvimento da comunidade para melhorar o controle de populações de mosquitos no Brasil |
| Beneficiário: | Giselle Machado Magalhães Moreno |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |
| Processo FAPESP: | 19/23553-1 - Modelagem de populações de mosquitos para sistema de alerta precoce e resposta rápida por autoridades de saúde correlacionando dados de clima, tempo e de vigilância móvel espaço-temporal |
| Beneficiário: | Tercio Ambrizzi |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |