How to cite this paper
Jaya, I., Chadidjah, A., Andriyana, Y., Setyanto, G., Supartini, E & Kristiani, F. (2023). Multiple endemic disease risk modeling using a Bayesian spatiotemporal shared components model.Decision Science Letters , 12(2), 389-398.
Refrences
Aguayo, G., Schritz, A., Ruiz-Castell, M., Villarroel, L., Valdivia, G., Fagherazzi, G., Wittle D.R., & Lawson, A. (2020). Identifying hotspots of cardiometabolic outcomes based on a Bayesian approach: The example of Chile. PLoS One, 15(6), e0235009.
Banerjee, S., Carlin, B., & Gelfand, A. (2015). Hierarchical Modeling and Analysis for Spatial Data Second Edition. Boca Raton: CRC Press Taylor & Francis Group.
Besag, J., York, J., & Mollié, A. (1991). Bayesian image restoration, with two applications in spatial statistics. Annals of the Institute of Statistical Mathematics, 43(1), 1-20.
Blangiardo, M., Cameletti, M., Baio, G., & Rue, H. (2013). Spatial and spatio-temporal models with R-INLA. Spatial and Spatio-temporal Epidemiology, 4, 33-49.
Castillo-Chavez, C. (2010). Surveillance and Epidemiology of Infectious Diseases using Spatial and Temporal Lustering Methods. Infectious Disease Informatics and Biosurveillance, 27, 207–234.
CDC. (2022, November 28). Center for Disease Control and Prevention. Retrieved from Prevention and control of infectious diseases: https://www.cdc.gov/earlycare/infectious-diseases/index.html
Chowdhury, F., Uddin, Q., Bari, M., Alam, M., Dunachie, S., Rodriguez-Morales, A., & Patwary, M. (2018). The association between temperature, rainfall, and humidity with common climate-sensitive infectious diseases in Bangladesh. PLoS ONE, 13(6), e0199579.
Clayton, D., & Kaldor, J. (1987). Empirical Bayes estimates of age-standardized relative risks for use in disease mapping. Biometrics, 43(3), 671-681.
Dom, N., Madzlan, M., Hasnan, S., & Misran, N. (2016). Water quality characteristics of dengue vectors breeding containers. International Journal of Mosquito Research, 3(1), 25-29.
Ibáñez-Beroiz, B., Librero-López, J., Peiró-Moreno, S., & Bernal-Delgado, E. (2011). Shared component modelling as an alternative to assess geographical variations in medical practice: gender inequalities in hospital admissions for chronic diseases. BMC Medical Research Methodology, 11(172), 1-10.
Jaya, I. G. M. J, & Folmer, H. (2020). Bayesian spatiotemporal mapping of relative dengue disease risk in Bandung, Indonesia. Journal of Geographical Systems, 22(1), 105-142.
Jaya, . G. M. J, Andriyana, Y., Tantular, B., & Ruchjana, B. (2019b). Spatiotemporal Dengue Disease Clustering by Means Local Spatiotemporal Moran’s Index. IOP Conf. Series: Materials Science and Engineering, 621, 012017.
Jaya, G. M. J., Folmer, H., & Lundberg, J. (2022). A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden. The Annals of Regional Science, 1-45.
Jaya, G. M. J., Tantular, B., & Andiryana, Y. (2019a). A Bayesian approach on multicollinearity problem with an Informative Prior. IOP Conf. Series: Journal of Physics: Conf. Series, 1265, 012021.
Knorr-Held, L. (2000). Bayesian modelling of inseparable space-time variation in disease risk. Statistics in Medicine, 19(17-18), 2555-2567
Knorr-Held, L. & Best, N.G. (2021) A Shared Component Model for Detecting Joint and Selective Clustering of Two Diseases. Journal of the Royal Statistical Society. Series A (Statistics in Society), 164(1), 73-85
Last, J. (2001). A Dictionary of Epidemiology. New York: Oxford University Press.
Lawson, A. (2018). Bayesian Disease Mapping Hierarchical Modeling in Spatial Epidemiology Third Edition. Boca Raton: Taylor & Francis Group, LLC.
Lawson, A. B., & Rotejanaprasert, C. (2018). Bayesian spatial modeling for the joint analysis of zoonosis between human and animal populations. Spatial Statistics, 28, 8-20.
Lawson, A., & Rotejanaprasert, C. (2014). Childhood Brain Cancer in Florida: A Bayesian Clustering Approach. Statistics and Public Policy, 1(1), 99-107.
MacNab, Y. (2010). On Bayesian shared component disease mapping and ecological regression with errors in covariates. Statistics in Medicine, 29, 1239-1249.
Marhamah, E., & Jaya, I. (2020). Modeling Positive Covid-19 Cases in Bandung City by Means Geographically Weighted Regression. Commun. Math. Biol. Neurosci., 2020(77), 1-10.
Moragaa, P., & Lawson, A. (2012). Gaussian component mixtures and CAR models in Bayesian disease mapping. Computational Statistics & Data Analysis, 56(6), 1417-1433.
Nemeth, V., & Pfleghaar, N. (2022). Diarrhea. Treasure Island (FL): StatPearls Publishing.
Norwood, T., Encisa, C., Wang, X., & Seliske, L. (2020). A Bayesian shared components modeling approach to develop small area indicators of social determinants of health with measures of uncertainty. Can J Public Health, 111, 342–357.
Osei, F., & Stein, A. (2017). Diarrhea Morbidities in Small Areas: Accounting for Non-Stationarity in Sociodemographic Impacts using Bayesian Spatially Varying Coefficient Modelling. Scientific Report, 7(9908), 1-15.
Patterson, B., & Wood, R. (2019). Is cough really necessary for TB transmission? Tuberculosis (Edinb), 117, 31–35.
Pemberton, S., Gordon, D., Nandy, S., Pantazis, C., & Townsend, P. (2007). Child Rights and Child Poverty: Can the International Framework of Children’s Rights Be Used to Improve Child Survival Rates? PLOS Medicine, 10(4), e307.
Rue, H., Martino, S., Chopin, N. (2009) Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 71(2), 319-392
Schaefer, T., Panda, P., & Wolford, R. (2022). Dengue Fever. Treasure Island (FL): StatPearls Publishing.
Schrodle, B., & Held, L. (2011). Spatio-temporal disease mapping using INLA. Environmetrics, 22(6), 725-734.
Seventer, J., & Hochberg, N. (2017). Principles of Infectious Diseases: Transmission, Diagnosis, Prevention, and Control. International Encyclopedia of Public Health, 22–39.
Sihaloho, E., Hardiawan, D., Kautsar, A., Kumala, C., Maharani, D., Alfarizy, I., & Siregar, A. (2021). The Effect of District Health Spending on Disease Rates in Sumatra Island. Mimbar, 37(1), 12-23.
Taal, A., Blok, D., Handito, A., Wibowo, S., Sumarsono, Wardana, A., Pontororing, G., Sari D.F., Brakel, W.H.v., Richardus, J.H., & Prakoeswa, C. (2022). Determining target populations for leprosy prophylactic interventions: a hotspot analysis in Indonesia. BMC Infect Dis, 22(131), 1-12.
Yao, S., Fan, N., & Hu, J. (2022). Modeling the spread of infectious diseases through influence maximization. Optimization Letters, 16, 1563–1586.
Yin, P., Mu, L., Madden, M., & Vena, J. (2014). Hierarchical Bayesian modeling of spatio-temporal patterns of lung cancer incidence risk in Georgia, USA: 2000–2007. Journal of Geographical System, 16(1), 387–407.
Banerjee, S., Carlin, B., & Gelfand, A. (2015). Hierarchical Modeling and Analysis for Spatial Data Second Edition. Boca Raton: CRC Press Taylor & Francis Group.
Besag, J., York, J., & Mollié, A. (1991). Bayesian image restoration, with two applications in spatial statistics. Annals of the Institute of Statistical Mathematics, 43(1), 1-20.
Blangiardo, M., Cameletti, M., Baio, G., & Rue, H. (2013). Spatial and spatio-temporal models with R-INLA. Spatial and Spatio-temporal Epidemiology, 4, 33-49.
Castillo-Chavez, C. (2010). Surveillance and Epidemiology of Infectious Diseases using Spatial and Temporal Lustering Methods. Infectious Disease Informatics and Biosurveillance, 27, 207–234.
CDC. (2022, November 28). Center for Disease Control and Prevention. Retrieved from Prevention and control of infectious diseases: https://www.cdc.gov/earlycare/infectious-diseases/index.html
Chowdhury, F., Uddin, Q., Bari, M., Alam, M., Dunachie, S., Rodriguez-Morales, A., & Patwary, M. (2018). The association between temperature, rainfall, and humidity with common climate-sensitive infectious diseases in Bangladesh. PLoS ONE, 13(6), e0199579.
Clayton, D., & Kaldor, J. (1987). Empirical Bayes estimates of age-standardized relative risks for use in disease mapping. Biometrics, 43(3), 671-681.
Dom, N., Madzlan, M., Hasnan, S., & Misran, N. (2016). Water quality characteristics of dengue vectors breeding containers. International Journal of Mosquito Research, 3(1), 25-29.
Ibáñez-Beroiz, B., Librero-López, J., Peiró-Moreno, S., & Bernal-Delgado, E. (2011). Shared component modelling as an alternative to assess geographical variations in medical practice: gender inequalities in hospital admissions for chronic diseases. BMC Medical Research Methodology, 11(172), 1-10.
Jaya, I. G. M. J, & Folmer, H. (2020). Bayesian spatiotemporal mapping of relative dengue disease risk in Bandung, Indonesia. Journal of Geographical Systems, 22(1), 105-142.
Jaya, . G. M. J, Andriyana, Y., Tantular, B., & Ruchjana, B. (2019b). Spatiotemporal Dengue Disease Clustering by Means Local Spatiotemporal Moran’s Index. IOP Conf. Series: Materials Science and Engineering, 621, 012017.
Jaya, G. M. J., Folmer, H., & Lundberg, J. (2022). A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden. The Annals of Regional Science, 1-45.
Jaya, G. M. J., Tantular, B., & Andiryana, Y. (2019a). A Bayesian approach on multicollinearity problem with an Informative Prior. IOP Conf. Series: Journal of Physics: Conf. Series, 1265, 012021.
Knorr-Held, L. (2000). Bayesian modelling of inseparable space-time variation in disease risk. Statistics in Medicine, 19(17-18), 2555-2567
Knorr-Held, L. & Best, N.G. (2021) A Shared Component Model for Detecting Joint and Selective Clustering of Two Diseases. Journal of the Royal Statistical Society. Series A (Statistics in Society), 164(1), 73-85
Last, J. (2001). A Dictionary of Epidemiology. New York: Oxford University Press.
Lawson, A. (2018). Bayesian Disease Mapping Hierarchical Modeling in Spatial Epidemiology Third Edition. Boca Raton: Taylor & Francis Group, LLC.
Lawson, A. B., & Rotejanaprasert, C. (2018). Bayesian spatial modeling for the joint analysis of zoonosis between human and animal populations. Spatial Statistics, 28, 8-20.
Lawson, A., & Rotejanaprasert, C. (2014). Childhood Brain Cancer in Florida: A Bayesian Clustering Approach. Statistics and Public Policy, 1(1), 99-107.
MacNab, Y. (2010). On Bayesian shared component disease mapping and ecological regression with errors in covariates. Statistics in Medicine, 29, 1239-1249.
Marhamah, E., & Jaya, I. (2020). Modeling Positive Covid-19 Cases in Bandung City by Means Geographically Weighted Regression. Commun. Math. Biol. Neurosci., 2020(77), 1-10.
Moragaa, P., & Lawson, A. (2012). Gaussian component mixtures and CAR models in Bayesian disease mapping. Computational Statistics & Data Analysis, 56(6), 1417-1433.
Nemeth, V., & Pfleghaar, N. (2022). Diarrhea. Treasure Island (FL): StatPearls Publishing.
Norwood, T., Encisa, C., Wang, X., & Seliske, L. (2020). A Bayesian shared components modeling approach to develop small area indicators of social determinants of health with measures of uncertainty. Can J Public Health, 111, 342–357.
Osei, F., & Stein, A. (2017). Diarrhea Morbidities in Small Areas: Accounting for Non-Stationarity in Sociodemographic Impacts using Bayesian Spatially Varying Coefficient Modelling. Scientific Report, 7(9908), 1-15.
Patterson, B., & Wood, R. (2019). Is cough really necessary for TB transmission? Tuberculosis (Edinb), 117, 31–35.
Pemberton, S., Gordon, D., Nandy, S., Pantazis, C., & Townsend, P. (2007). Child Rights and Child Poverty: Can the International Framework of Children’s Rights Be Used to Improve Child Survival Rates? PLOS Medicine, 10(4), e307.
Rue, H., Martino, S., Chopin, N. (2009) Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 71(2), 319-392
Schaefer, T., Panda, P., & Wolford, R. (2022). Dengue Fever. Treasure Island (FL): StatPearls Publishing.
Schrodle, B., & Held, L. (2011). Spatio-temporal disease mapping using INLA. Environmetrics, 22(6), 725-734.
Seventer, J., & Hochberg, N. (2017). Principles of Infectious Diseases: Transmission, Diagnosis, Prevention, and Control. International Encyclopedia of Public Health, 22–39.
Sihaloho, E., Hardiawan, D., Kautsar, A., Kumala, C., Maharani, D., Alfarizy, I., & Siregar, A. (2021). The Effect of District Health Spending on Disease Rates in Sumatra Island. Mimbar, 37(1), 12-23.
Taal, A., Blok, D., Handito, A., Wibowo, S., Sumarsono, Wardana, A., Pontororing, G., Sari D.F., Brakel, W.H.v., Richardus, J.H., & Prakoeswa, C. (2022). Determining target populations for leprosy prophylactic interventions: a hotspot analysis in Indonesia. BMC Infect Dis, 22(131), 1-12.
Yao, S., Fan, N., & Hu, J. (2022). Modeling the spread of infectious diseases through influence maximization. Optimization Letters, 16, 1563–1586.
Yin, P., Mu, L., Madden, M., & Vena, J. (2014). Hierarchical Bayesian modeling of spatio-temporal patterns of lung cancer incidence risk in Georgia, USA: 2000–2007. Journal of Geographical System, 16(1), 387–407.