A time series method to analyze incidence pattern and estimate reproduction number of COVID-19

April 27, 2021

The lack of treatment or vaccines for the COVID-19 disease has focused most attention on preventive public health measures. To understand which measures might be effective and why requires a strong explanatory model of how COVID-19 is transmitted. This paper proposes a model based on time-series data from China and 6 other countries, to identify trends of disease incidence as well as explanatory variables for disease prevalence.


Accelerating vaccinations for millions of vulnerable people across India

VaxNow is bringing together the Government, Private Sector Organizations, Community leaders, NGOs and the Media to accelerate the vaccination of vulnerable people in Karnataka, Maharashtra, Telangana, Andhra Pradesh, Tamil Nadu and Bihar. These partners will collaborate to reach the unreached through an agile, geographically contextualized plan which will help overcome barriers for vulnerable communities. The criteria for selecting these communities is: people with the highest access barriers, the highest chance of contracting COVID and people living in overcrowded places.

Authored by Soudeep Deb and Manidipa Majumdar. Published by Cornell University.

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