@article{IHME:2024:10.1016/S1473-3099(24)00158-0,
author = {IHME, Pathogen Core Group},
doi = {10.1016/S1473-3099(24)00158-0},
journal = {Lancet Infect Dis},
pages = {868--895},
title = {Global burden associated with 85 pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019.},
url = {http://dx.doi.org/10.1016/S1473-3099(24)00158-0},
volume = {24},
year = {2024}
}

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TY  - JOUR
AB  - BACKGROUND: Despite a global epidemiological transition towards increased burden of non-communicable diseases, communicable diseases continue to cause substantial morbidity and mortality worldwide. Understanding the burden of a wide range of infectious diseases, and its variation by geography and age, is pivotal to research priority setting and resource mobilisation globally. METHODS: We estimated disability-adjusted life-years (DALYs) associated with 85 pathogens in 2019, globally, regionally, and for 204 countries and territories. The term pathogen included causative agents, pathogen groups, infectious conditions, and aggregate categories. We applied a novel methodological approach to account for underlying, immediate, and intermediate causes of death, which counted every death for which a pathogen had a role in the pathway to death. We refer to this measure as the burden associated with infection, which was estimated by combining different sources of information. To compare the burden among all pathogens, we used pathogen-specific ratios to incorporate the burden of immediate and intermediate causes of death for pathogens modelled previously by the GBD. We created the ratios by using multiple cause of death data, hospital discharge data, linkage data, and minimally invasive tissue sampling data to estimate the fraction of deaths coming from the pathway to death chain. We multiplied the pathogen-specific ratios by age-specific years of life lost (YLLs), calculated with GBD 2019 methods, and then added the adjusted YLLs to age-specific years lived with disability (YLDs) from GBD 2019 to produce adjusted DALYs to account for deaths in the chain. We used standard GBD methods to calculate 95% uncertainty intervals (UIs) for final estimates of DALYs by taking the 2·5th and 97·5th percentiles across 1000 posterior draws for each quantity of interest. We provided burden estimates pertaining to all ages and specifically to the under 5 years age group. FINDIN
AU  - IHME,Pathogen Core Group
DO  - 10.1016/S1473-3099(24)00158-0
EP  - 895
PY  - 2024///
SP  - 868
TI  - Global burden associated with 85 pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019.
T2  - Lancet Infect Dis
UR  - http://dx.doi.org/10.1016/S1473-3099(24)00158-0
UR  - https://www.ncbi.nlm.nih.gov/pubmed/38640940
VL  - 24
ER  - 

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