We present a framework for discrete network-based modeling of TB epidemiology in US
counties using publicly available synthetic datasets. We explore the dynamics of this …

Advances in scientific computing have allowed the development of complex models that are
being routinely applied to problems in disease epidemiology, public health and decision …

Advances in scientific computing have allowed the development of complex models that are
being routinely applied to problems in disease epidemiology, public health and decision …

結核病(Tuberculosis) 為全球性的慢性傳染性疾病, 目前仍為全球十大死因之一.
台灣位於結核病高發生率的東南亞地區, 一年四季都有病例. 有研究顯示來自結核病高發生率 …

Mechanistic models of infectious disease spread are key to inferring spatiotemporal
infectious disease transmission dynamics. Ideally, covariate data and the infection status of …

Disease modeling is an important tool in epidemiology. Effective epidemiological models
can assist public health workers and policymakers in the development of effective disease …

Tuberculosis (TB) accounts for over 1 million deaths each year, despite effective treatment
regimens being available. Improving the treatment of TB will require new regimens, each of …

Statistical inference for spatial models of infectious disease spread is often very
computationally expensive. These models are generally fitted in a Bayesian Markov chain …

Infectiousness heterogeneity among individuals with tuberculosis (TB) is substantial and is
likely to have a significant impact on the long-term dynamics of TB and the effectiveness of …

Agent-based models (ABMs) are powerful in describing structured epidemiological
processes involving human behavior and local interaction. The joint behavior of the agents …