Selected article for: "cc ND international license and infectious disease"
Author: Debashree Ray; Maxwell Salvatore; Rupam Bhattacharyya; Lili Wang; Shariq Mohammed; Soumik Purkayastha; Aritra Halder; Alexander Rix; Daniel Barker; Michael Kleinsasser; Yiwang Zhou; Peter Song; Debraj Bose; Mousumi Banerjee; Veerabhadran Baladandayuthapani; Parikshit Ghosh; Bhramar Mukherjee
Title: Predictions, role of interventions and effects of a historic national lockdown in India's response to the COVID-19 pandemic: data science call to arms
  • Document date: 2020_4_18
    • ID: 3a3c8ee1_58
    Snippet: There are many epidemiological models to predict the course of an infectious disease and even many that are India-specific. 37-39 Some use age-structure, contact patterns, spatial information to finesse their prediction. Some consider the possibility of a latent number of true cases, only a fraction of which are ascertained and observed. 16 The model we used here is an extension of a . CC-BY-ND 4.0 International license It is made available under.....
    Document: There are many epidemiological models to predict the course of an infectious disease and even many that are India-specific. 37-39 Some use age-structure, contact patterns, spatial information to finesse their prediction. Some consider the possibility of a latent number of true cases, only a fraction of which are ascertained and observed. 16 The model we used here is an extension of a . CC-BY-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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