Cargando…
Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models
Major infectious diseases such as COVID-19 have a significant impact on population lives and put enormous pressure on healthcare systems globally. Strong interventions, such as lockdowns and social distancing measures, imposed to prevent these diseases from spreading, may also negatively impact soci...
Autores principales: | Mahmood, Mateen, Amaral, André Victor Ribeiro, Mateu, Jorge, Moraga, Paula |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361636/ https://www.ncbi.nlm.nih.gov/pubmed/35967269 http://dx.doi.org/10.1016/j.spasta.2022.100691 |
Ejemplares similares
-
Contextual contact tracing based on stochastic compartment modeling and spatial risk assessment
por: Mahmood, Mateen, et al.
Publicado: (2021) -
Spatio-temporal modeling of infectious diseases by integrating compartment and point process models
por: Amaral, André Victor Ribeiro, et al.
Publicado: (2022) -
Spatio-temporal stochastic differential equations for crime incidence modeling
por: Calatayud, Julia, et al.
Publicado: (2023) -
Who are the ‘silent spreaders’?: contact tracing in spatio-temporal memory models
por: Hu, Yue, et al.
Publicado: (2022) -
Incorporating social contact data in spatio-temporal models for infectious disease spread
por: Meyer, Sebastian, et al.
Publicado: (2017)