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disease-transmission

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datapartnership / covid19-agent-based-model

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This repository contains a Python implementation of an agent-based model for simulating COVID-19 transmission in Zimbabwe. It uses synthetic population data, mobility patterns from call-detail records, economic interaction patterns, and WASH and comorbidity risk data to model disease spread and evaluate policy scenarios.

zimbabwe agent-based-model disease-transmission mobility-data covid-19
  • Updated Jan 9, 2021
  • Jupyter Notebook

kingaa / massachusetts-honeymoon

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Supporting material for the paper "The impact of past vaccination coverage and immunity on pertussis resurgence", M. Domenech de Cellès, F. M. G. Magpantay, A. A. King, and P. Rohani, Science Translational Medicine 10(434): eaaj1748, 2018. https://doi.org/10.1126/scitranslmed.aaj1748

epidemiology vaccination pomp stochastic-models disease-transmission resurgence pertussis whooping-cough iterated-filtering age-structure mossong-matrix honeymoon vaccine-failure
  • Updated Mar 19, 2018
  • C

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