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Sumit Madan

Biographic Data

ID8315214
NAMESumit Madan
GIVEN NAMESSumit
FAMILY NAMEMadan
SIGNATUREMADAN S
AFFILIATIONSUniversity of Bonn
ORCID0000-0001-9970-4144
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Modeling approaches for early warning and monitoring of pandemic situations as well as decision support

    Open Access•Jonas Botz, Danqi Wang et al.•ARTICLE•Frontiers in Public Health•2022

    The COVID-19 pandemic has highlighted the lack of preparedness of many healthcare systems against pandemic situations. In response, many population-level computational modeling approaches have been proposed for predicting outbreaks, spatiotemporally forecasting disease spread, and assessing as well as predicting the effectiveness of (non-) pharmaceutical interventions. However, in several countries, these modeling efforts have only limited impact…

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  • Modeling approaches for early warning and monitoring of pandemic situations as well as decision support

    Open Access•Jonas Botz, Danqi Wang et al.•ARTICLE•Frontiers in Public Health•2022

    The COVID-19 pandemic has highlighted the lack of preparedness of many healthcare systems against pandemic situations. In response, many population-level computational modeling approaches have been proposed for predicting outbreaks, spatiotemporally forecasting disease spread, and assessing as well as predicting the effectiveness of (non-) pharmaceutical interventions. However, in several countries, these modeling efforts have only limited impact…

Artificial Intelligence (1 works) · Computer Science (1 works) · COVID-19 epidemiological studies (1 works) · Data science (1 works) · Data-Driven Disease Surveillance (1 works) · Decision support system (1 works) · Disease (1 works) · Engineering (1 works) · Environmental health (1 works) · Health care (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae