Congo

The dataset contains estimates of incremental cost-effectiveness ratios (ICERs) for interventions for HIV/AIDS, malaria, syphilis, and tuberculosis in 128 countries. Estimates are based on meta-regression analysis of ICERs. Data used in the meta-regression analysis are ICERs studies in the Tufts University’s cost-effectiveness analysis registry for 128 countries and subnational regions that are eligible for Global Fund support.

Researchers at IHME and the University of Oxford estimated deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) associated with and attributable to bacterial antimicrobial resistance (AMR) in 88 pathogen-drug combinations for the WHO Region of Africa and for 35 countries in 2019. Data gathered to inform these estimates included multiple cause of death data, hospital discharges, minimally invasive tissue sampling, systematic literature reviews, and microbiology lab results from hospitals and national and multi-national surveillance systems, totaling 343 million individual records or isolates and 11,361 study-location-years collected. These data informed 8 modelling components which were combined with results from GBD 2019 to estimate AMR burden. Estimates were produced for two counterfactual scenarios: no infection and drug-susceptible infection.