| Autor: |
John Korah, Eugene Santos, Eunice E. Santos, Vairavan Murugappan, Suresh Subramanian |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
BHI |
| DOI: |
10.1109/bhi50953.2021.9508605 |
| Popis: |
There has been a recent surge of interest in modeling and forecasting epidemic outbreaks. Human behavior plays a key role in disease transmission and prevention. In this paper, we propose a systematic approach to model the effects of changes in human behavior by infusing socio-cultural factors within compartmentalized epidemic models. In particular, we have identified risk perception beliefs as critical epidemic related socio-cultural factors. We evaluated our model using the 2009 H1N1 epidemic scenario in Mexico and a preliminary COVID-19 scenario in the US. Our results show that including cultural information from even a sparse, small subset of events provides a significant improvement in prediction accuracy and explanatory capabilities. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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