Spatial modeling of individual‐level infectious disease transmission: Tuberculosis data in Manitoba, Canada
نویسندگان
چکیده
Geographically dependent individual level models (GD-ILMs) are a class of statistical that can be used to study the spread infectious disease through population in discrete-time which covariates measured both at and area levels. The typical ILMs illustrate spatial data based on distance between susceptible individuals. A key feature GD-ILMs is they take into account location individuals addition As motivation this article, we consider tuberculosis (TB) an transmitted It also known certain areas/demographics/communities have higher prevalent TB (see Section 4 for more details). interest policy makers identify those areas with infectivity rate possible preventions. Therefore, need analyze properly address concerns. In expectation conditional maximization algorithm proposed estimating parameters able predict highest average rates TB. We evaluate performance our approach some simulations. Our simulation results indicate method provides reliable estimates confirms accuracy rates.
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Andrew J Tatem ([email protected]) Susana Adamo ([email protected]) Nita Bharti ([email protected]) Clara R Burgert ([email protected]) Marcia Castro ([email protected]) Audrey Dorelien ([email protected]) Gunther Fink ([email protected]) Catherine Linard ([email protected]) John Mendelsohn ([email protected]) Livia Montana ([email protected]) Mark R M...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2021
ISSN: ['0277-6715', '1097-0258']
DOI: https://doi.org/10.1002/sim.8863