Integrated surveillance: Joint modeling of rodent and human tularemia cases in Finland

af Rotejanaprasert, Chawarat
Udgivet i Online J Public Health Inform (2017)

A Bayesian Quantile Modeling for Spatiotemporal Relative Risk: An Application to Adverse Risk Detection of Respiratory Diseases in South Carolina, USA

af Rotejanaprasert, Chawarat, Lawson, Andrew B.
Udgivet i Int J Environ Res Public Health (2018)

Spatiotemporal multi-disease transmission dynamic measure for emerging diseases: an application to dengue and zika integrated surveillance in Thailand

af Rotejanaprasert, Chawarat, Lawson, Andrew B., Iamsirithaworn, Sopon
Udgivet i BMC Med Res Methodol (2019)

Spatial Bayesian surveillance for small area case event data

af Rotejanaprasert, Chawarat, Lawson, Andrew, Bolick-Aldrich, Susan, Hurley, Deborah
Udgivet i Stat Methods Med Res (2016)

Bayesian spatiotemporal modeling with sliding windows to correct reporting delays for real-time dengue surveillance in Thailand

af Rotejanaprasert, Chawarat, Ekapirat, Nattwut, Areechokchai, Darin, Maude, Richard J.
Udgivet i Int J Health Geogr (2020)

Preliminary estimation of temporal and spatiotemporal dynamic measures of COVID-19 transmission in Thailand

af Rotejanaprasert, Chawarat, Lawpoolsri, Saranath, Pan-ngum, Wirichada, Maude, Richard J.
Udgivet i PLoS One (2020)

Spatial Environmental Modeling of Autoantibody Outcomes among an African American Population

af Carroll, Rachel, Lawson, Andrew B., Voronca, Delia, Rotejanaprasert, Chawarat, Vena, John E., Aelion, Claire Marjorie, Kamen, Diane L.
Udgivet 2014

Bayesian spatiotemporal analysis of malaria infection along an international border: Hlaingbwe Township in Myanmar and Tha-Song-Yang District in Thailand

af Thway, Aung Minn, Rotejanaprasert, Chawarat, Sattabongkot, Jetsumon, Lawawirojwong, Siam, Thi, Aung, Hlaing, Tin Maung, Soe, Thiha Myint, Kaewkungwal, Jaranit
Udgivet i Malar J (2018)