COVID-19 pandemic in India: Through the lens of modeling

Abstract

India has devised innovative strategies to reduce the spread of COVID-19 within the constraints of a low-resource setting, while also making some questionable policy decisions. In this commentary, as a team of public health data scientists engaged in modeling the pandemic since early 2020, we reflect on India's journey over the past year, examining the landscape of epidemiological models, the challenges of mismeasured case and death counts, lessons from the Indian experience for public health and data infrastructure, and implications that can be globally valuable.

BibTeX

@article{babu2021covid,
  title={{COVID}-19 pandemic in India: Through the lens of modeling},
  author={Giridhara R. Babu and Debashree Ray and Ritwik Bhaduri and Aritra Halder and Ritoban Kundu and Gautam I. Menon and others},
  journal={Global Health: Science and Practice},
  year={2021},
  doi={10.9745/GHSP-D-21-00233},
  abstract={India has devised innovative strategies to reduce the spread of COVID-19 within the constraints of a low-resource setting, while also making some questionable policy decisions. In this commentary, as a team of public health data scientists engaged in modeling the pandemic since early 2020, we reflect on India's journey over the past year, examining the landscape of epidemiological models, the challenges of mismeasured case and death counts, and lessons for public health and data infrastructure that can be globally valuable.}
}