BoltonL/Burden_estimation_public

SARS-CoV-2 burden in South Africa public repository # Burden_estimation_public This is a colloborative project between the South African Centre for Epidemiological Modelling and Analysis (SACEMA) and the National Institute for Communicable Diseases (NICD) aimed at constructing the burden pyramid for COVID-19 during the 5 waves in South Africa. ## Title of project The burden of SARS-CoV-2 Infection and Severe Illness in South Africa March 2020-August 2022: A synthesis of epidemiological data ## Team members - Stefano Tempia (Center for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases), tempias@who.int - Cheryl Cohen (Center for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases), cherylc@nicd.ac.za - Juliet Pulliam (SACEMA) - Larisse Bolton (SACEMA), lbolton@sun.ac.za - Sibongile Walaza (Center for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases), sibongilew@nicd.ac.za ## Data contributors/custodians - Waasila Jassat (DATCOV data custodian), waasilaj@genesis-analytics.com - Kaiyuan Sun (PHIRST-C attack rates custodian), kaiyuan.sun@nih.gov - Debbie Bradshaw and Rob Dorrington (Excess deaths data custodians), rob.dorrington@uct.ac.za - Nicole Wolter (HUS data), nicolew@nicd.ac.za ## Collaborators - Jackie Kleynhans (Center for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases) - Neil Martinson (Perinatal HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa and Johns Hopkins University Center for TB Research) - Anne von Gottberg (Center for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases) ## Overall objectives To estimate the national infection and disease burden of SARS-CoV-2 in South Africa during the first 5 waves ### Specific objectives - To estimate within the following syndromes: Non-severe, non-fatal illness (asymptomatic and mild illness), Severe Illness (hospitalisation) and Fatal illnesss - To estimate within the foll …