@inproceedings{6b3d8fe6016c4c6fbb6bb98adc721774,
title = "Infusing culture in compartmental epidemic models",
abstract = "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.",
keywords = "Culturally infused disease spread model, Disease dynamics, Epidemics, Human behavior, Pandemics, SEIR",
author = "Santos, {Eunice E.} and John Korah and Suresh Subramanian and Vairavan Murugappan and Eugene Santos",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 2021 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2021 ; Conference date: 27-07-2021 Through 30-07-2021",
year = "2021",
doi = "10.1109/BHI50953.2021.9508605",
language = "English (US)",
series = "BHI 2021 - 2021 IEEE EMBS International Conference on Biomedical and Health Informatics, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "BHI 2021 - 2021 IEEE EMBS International Conference on Biomedical and Health Informatics, Proceedings",
address = "United States",
}