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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.<\/jats:p>","DOI":"10.3390\/data7080106","type":"journal-article","created":{"date-parts":[[2022,7,31]],"date-time":"2022-07-31T23:37:29Z","timestamp":1659310649000},"page":"106","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["An Evaluation of the OpenWeatherMap API versus INMET Using Weather Data from Two Brazilian Cities: Recife and Campina Grande"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7978-1871","authenticated-orcid":false,"given":"Anwar","family":"Musah","sequence":"first","affiliation":[{"name":"UCL Department of Geography, Geospatial Analytics and Computing Group (GSAC), University College London, London WC1E 6BT, UK"},{"name":"UCL Centre for Digital Public Health & Emergencies, University College London, London WC1E 6BT, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Livia M\u00e0rcia Mosso","family":"Dutra","sequence":"additional","affiliation":[{"name":"Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences (IAG), University of S\u00e3o Paulo, S\u00e3o Paulo 05508-010, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3287-0986","authenticated-orcid":false,"given":"Aisha","family":"Aldosery","sequence":"additional","affiliation":[{"name":"UCL Centre for Digital Public Health & Emergencies, University College London, London WC1E 6BT, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ella","family":"Browning","sequence":"additional","affiliation":[{"name":"Centre for Biodiversity and Environment Research, Department of Genetics, Evolution & Environment, University College London, London WC1E 6BT, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8796-7326","authenticated-orcid":false,"given":"Tercio","family":"Ambrizzi","sequence":"additional","affiliation":[{"name":"Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences (IAG), University of S\u00e3o Paulo, S\u00e3o Paulo 05508-010, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9274-6309","authenticated-orcid":false,"given":"Iuri Valerio Graciano","family":"Borges","sequence":"additional","affiliation":[{"name":"Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences (IAG), University of S\u00e3o Paulo, S\u00e3o Paulo 05508-010, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Merve","family":"Tunali","sequence":"additional","affiliation":[{"name":"Institute of Environmental Sciences, Bo\u011fazi\u00e7i University, Bebek, 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