Cargando…
STHAM: An Agent Based Model for Simulating Human Exposure Across High Resolution Spatiotemporal Domains
Human exposure to particulate matter and other environmental species is difficult to estimate in large populations. Individuals can encounter significant and acute variations in exposure over small spatiotemporal scales, and exposure is strongly tied to both the environmental and activity contexts t...
Autores principales: | Lund, Albert M, Gouripeddi, Ramkiran, Facelli, Julio C |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666149/ https://www.ncbi.nlm.nih.gov/pubmed/32152393 http://dx.doi.org/10.1038/s41370-020-0216-4 |
Ejemplares similares
-
Erratum to: Data-driven identification of temporal glucose patterns in a large cohort of nondiabetic patients with COVID-19 using time-series clustering
por: Mistry, Sejal, et al.
Publicado: (2021) -
Data-driven identification of temporal glucose patterns in a large cohort of nondiabetic patients with COVID-19 using time-series clustering
por: Mistry, Sejal, et al.
Publicado: (2021) -
27337 Characterizing Temporal Patterns in Glucose Dysregulation Following SARS-CoV-2 Infection
por: Mistry, Sejal, et al.
Publicado: (2021) -
297 Identifying Opportunities and Challenges for Translational Informatics Approaches to Real-World Data: A Diabetes Case Study
por: Mistry, Sejal, et al.
Publicado: (2023) -
Human activity pattern implications for modeling SARS-CoV-2 transmission
por: Wang, Yulan, et al.
Publicado: (2021)