Multilevel model of dengue disease transmission in West Java province, Indonesia by means INLA

I.G.N.M. Jaya, B.N. Ruchjana, A. Setiawan Abdullah, N. Sunengsih

Abstract


Dengue is an infectious disease that severe health problems even death. The number of infections has been increased significantly worldwide. Dengue disease is transmitted through Aedes Aegypti vectors. Identifying high-risk areas is vital to control disease transmission. Population density is a crucial risk factor that can accelerate dengue transmission. The cities in general have higher population density than districts. Therefore, the modeling dengue risk is critical to take into account the district and city levels information. It can be done by developing multilevel models as a representation of the hierarchical models. The models were estimated by means of integrated nested Laplace approximation (INLA). We found there is a high different regression coefficients between district and city levels. Population density has a high positive impact on the city level.

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Published: 2020-12-29

How to Cite this Article:

I.G.N.M. Jaya, B.N. Ruchjana, A. Setiawan Abdullah, N. Sunengsih, Multilevel model of dengue disease transmission in West Java province, Indonesia by means INLA, Commun. Math. Biol. Neurosci., 2020 (2020), Article ID 97

Copyright © 2020 I.G.N.M. Jaya, B.N. Ruchjana, A. Setiawan Abdullah, N. Sunengsih. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Commun. Math. Biol. Neurosci.

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