Human activity pattern implications for modeling SARS-CoV-2 transmission
Computer Methods and Programs in Biomedicine, ISSN: 0169-2607, Vol: 199, Page: 105896
2021
- 15Citations
- 65Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations15
- Citation Indexes15
- 15
- Captures65
- Readers65
- 65
Article Description
SARS-CoV-2 emerged in December 2019 and rapidly spread into a global pandemic. Designing optimal community responses (social distancing, vaccination) is dependent on the stage of the disease progression, discovery of asymptomatic individuals, changes in virulence of the pathogen, and current levels of herd immunity. Community strategies may have severe and undesirable social and economic side effects. Modeling is the only available scientific approach to develop effective strategies that can minimize these unwanted side effects while retaining the effectiveness of the interventions. We extended the agent-based model, SpatioTemporal Human Activity Model (STHAM), for simulating SARS-CoV-2 transmission dynamics. Here we present preliminary STHAM simulation results that reproduce the overall trends observed in the Wasatch Front (Utah, United States of America) for the general population. The results presented here clearly indicate that human activity patterns are important in predicting the rate of infection for different demographic groups in the population. Future work in pandemic simulations should use empirical human activity data for agent-based techniques.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0169260720317296; http://dx.doi.org/10.1016/j.cmpb.2020.105896; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85097720375&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/33326924; https://linkinghub.elsevier.com/retrieve/pii/S0169260720317296; https://dx.doi.org/10.1016/j.cmpb.2020.105896
Elsevier BV
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