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Assessing dengue forecasting methods: A comparative study of statistical models and machine learning techniques in Rio de Janeiro, Brazil

2024-06-13

Abstract excerpt

<h4>Background</h4> Dengue is a mosquito-borne viral disease that poses a significant public health threat in tropical and subtropical regions worldwide. Accurate forecasting of dengue outbreaks is crucial for effective public health planning and intervention. This study aims to assess the predictive performance and computational efficiency of a number of statistical models and machine learning techniques for deng...

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Literature Corpus work
2d75e3d3-23ab-5d54-a071-80e28f9d077e
DOI
10.1101/2024.06.12.24308827
Open publication

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Assessing dengue forecasting methods: A comparative study of statistical models and machine learning techniques in Rio de Janeiro, BrazilDOI 10.1101/2024.06.12.24308827
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