2021
DOI: 10.1002/mma.7648
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Prediction of dengue cases based on human mobility and seasonality—An example for the city of Jakarta

Abstract: In this article, we combine a multipatch SIRUV model with seasonal mosquito breeding rate in order to develop a seasonal SIR model via a time-scale separation. The model is applied to commuting and dengue incident data in Jakarta to forecast dengue outbreaks. Qualitatively, the analysis is in good agreement with the actual outbreaks.

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Cited by 4 publications
(1 citation statement)
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References 34 publications
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“…Based on data from the Central Agency of Statistics, in 2021 the total population in DKI Jakarta reached 20 million people. The data is spread over five districts and cities such as: Kepulauan Seribu, Jakarta Selatan, Jakarta Timur, Jakarta Pusat, Jakarta Barat, dan Jakarta Utara (Yoo, Kim, & Hadi, 2014;Kamh, Khalifa, & El-Bahrawy, 2016;Heidrich, Jayathunga, Bock, & Götz, 2021;Rukmana, & Ramadhani, 2021). If the data is compared to area which have 662.33 𝑘𝑚 2 , the result is a very high population density.…”
Section: Introductionmentioning
confidence: 99%
“…Based on data from the Central Agency of Statistics, in 2021 the total population in DKI Jakarta reached 20 million people. The data is spread over five districts and cities such as: Kepulauan Seribu, Jakarta Selatan, Jakarta Timur, Jakarta Pusat, Jakarta Barat, dan Jakarta Utara (Yoo, Kim, & Hadi, 2014;Kamh, Khalifa, & El-Bahrawy, 2016;Heidrich, Jayathunga, Bock, & Götz, 2021;Rukmana, & Ramadhani, 2021). If the data is compared to area which have 662.33 𝑘𝑚 2 , the result is a very high population density.…”
Section: Introductionmentioning
confidence: 99%