Modeling dengue data from Semarang,Indonesia |
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| Affiliation: | 1. Department of Mathematics and Statistics, University of Strathclyde, Glasgow G1 1XH, UK;2. LIM01-Hospital de Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil;3. Hospital São Paulo, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil;4. Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK;1. Department of Mathematical Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan 689-798, Republic of Korea;2. Department of Applied Mathematics, Kyung Hee University, Yongin 466-701, Republic of Korea;1. School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, PR China;2. Department of Mathematics, City University of Science and Information Technology, Peshawar, Khyber Pakhtunkhwa, 25000, KP, Pakistan;3. Center of Excellence in Theoretical and Computational Science (TaCS-CoE), SCL 802 Fixed Point Laboratory, Science Laboratory Building, King Mongkut’s University of Technology Thonburi (KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thrung Khru, Bangkok 10140, Thailand;4. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40402, Taiwan;5. Renewable Energy Research Centre, Department of Teacher Training in Electrical Engineering, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, 1518, Wongsawang, Bangsue, Bangkok 10800, Thailand;1. Institute of Engineering and Sustainable Development, University of International Integration of the Afro-Brazilian Lusophony, s/n José Franco St., Redenção, Ceará 62.790-970, Brazil;2. School of Public Health of Ceará, 3161 Antônio Justa Ave., Fortaleza, Ceará 60165-090, Brazil;3. Health Sciences Institute, University of International Integration of the Afro-Brazilian Lusophony, s/n José Franco St., Redenção, Ceará 62.790-970, Brazil |
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| Abstract: | Dengue fever is a viral mosquito-borne infection which in recent years has become a major international public health concern, a leading cause of illness and death in tropical and subtropical regions. Models from mathematical epidemiology, like the classical SIR-model and its variants, are used to describe the spread of dengue in a given population. Based on data of hospitalized dengue cases for the city of Semarang, Northern Java, Indonesia, we identify certain parameters in a simplified IR-model. In a second step, we connect those model parameters to available meteorological data, like precipitation. |
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| Keywords: | Dengue fever SIR-model Meteorological effects |
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