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Chandranath Podder

Biographic Data

ID10002185
NAMEChandranath Podder
GIVEN NAMESChandranath
FAMILY NAMEPodder
SIGNATUREPODDER C
AFFILIATIONSUniversity of Dhaka
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Utility of compartmental models to test the competing hypotheses of pathogen evolution and human intervention

    Open Access•Barsha Saha, Majid Bani-Yaghoub et al.•ARTICLE•Frontiers in Public Health•2026

    Compartmental models are essential for studying host-pathogen dynamics, evaluating intervention effectiveness, and predicting infection trends. However, the utility of these models for testing competing hypotheses is often overlooked. To address this, we propose a new model-based hypothesis testing (MBHT) approach, which uses compartmental models to evaluate the hypotheses in epidemiology. In our case, using the COVID-19 pandemic as a case study,…

No prominent works on this page.

  • Utility of compartmental models to test the competing hypotheses of pathogen evolution and human intervention

    Open Access•Barsha Saha, Majid Bani-Yaghoub et al.•ARTICLE•Frontiers in Public Health•2026

    Compartmental models are essential for studying host-pathogen dynamics, evaluating intervention effectiveness, and predicting infection trends. However, the utility of these models for testing competing hypotheses is often overlooked. To address this, we propose a new model-based hypothesis testing (MBHT) approach, which uses compartmental models to evaluate the hypotheses in epidemiology. In our case, using the COVID-19 pandemic as a case study,…

COVID-19 epidemiological studies (1 work) · Evolution and Genetic Dynamics (1 work) · Mutation (1 work) · Mutation Accumulation (1 work) · Mutation rate (1 work) · Natural selection (1 work) · Pandemic (1 work) · Pathogen (1 work) · SARS-CoV-2 and COVID-19 Research (1 work) · Virulence (1 work)

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