Global burden associated with 85 pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019
Issued Date
2024-08-01
Resource Type
ISSN
14733099
eISSN
14744457
Scopus ID
2-s2.0-85191816127
Pubmed ID
38640940
Journal Title
The Lancet Infectious Diseases
Volume
24
Issue
8
Start Page
868
End Page
895
Rights Holder(s)
SCOPUS
Bibliographic Citation
The Lancet Infectious Diseases Vol.24 No.8 (2024) , 868-895
Suggested Citation
Naghavi M., Mestrovic T., Gray A., Gershberg Hayoon A., Swetschinski L.R., Robles Aguilar G., Davis Weaver N., Ikuta K.S., Chung E., Wool E.E., Han C., Araki D.T., Albertson S.B., Bender R., Bertolacci G., Browne A.J., Cooper B.S., Cunningham M.W., Dolecek C., Doxey M., Dunachie S.J., Ghoba S., Haines-Woodhouse G., Hay S.I., Hsu R.L., Iregbu K.C., Kyu H.H., Ledesma J.R., Ma J., Moore C.E., Mosser J.F., Mougin V., Naghavi P., Novotney A., Rosenthal V.D., Sartorius B., Stergachis A., Troeger C., Vongpradith A., Walters M.K., Wunrow H.Y., Murray C.J., Naghavi M., Mestrovic T., Gray A., Gershberg Hayoon A., Swetschinski L., Davis Weaver N., Ikuta K., Chung E., Wool E., Han C., Araki D., Albertson S., Bender R., Bertolacci G., Cunningham M., Doxey M., Ghoba S., Hay S., Kyu H., Ledesma J., Ma J., Mosser J., Mougin V., Novotney A., Troeger C., Vongpradith A., Wunrow H., Murray C., Naghavi M., Mestrovic T., Hay S., Kyu H., Mosser J., Sartorius B., Murray C., Chung E., Stergachis A., Stergachis A., Chung E., Mestrovic T., Robles Aguilar G., Cooper B., Dolecek C., Ikuta K., Bender R., Browne A., Doxey M., Dunachie S., Walters M., Dunachie S., Iregbu K., Ledesma J., Moore C., Naghavi P., Rosenthal V. Global burden associated with 85 pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Infectious Diseases Vol.24 No.8 (2024) , 868-895. 895. doi:10.1016/S1473-3099(24)00158-0 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/100030
Title
Global burden associated with 85 pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019
Author(s)
Naghavi M.
Mestrovic T.
Gray A.
Gershberg Hayoon A.
Swetschinski L.R.
Robles Aguilar G.
Davis Weaver N.
Ikuta K.S.
Chung E.
Wool E.E.
Han C.
Araki D.T.
Albertson S.B.
Bender R.
Bertolacci G.
Browne A.J.
Cooper B.S.
Cunningham M.W.
Dolecek C.
Doxey M.
Dunachie S.J.
Ghoba S.
Haines-Woodhouse G.
Hay S.I.
Hsu R.L.
Iregbu K.C.
Kyu H.H.
Ledesma J.R.
Ma J.
Moore C.E.
Mosser J.F.
Mougin V.
Naghavi P.
Novotney A.
Rosenthal V.D.
Sartorius B.
Stergachis A.
Troeger C.
Vongpradith A.
Walters M.K.
Wunrow H.Y.
Murray C.J.
Naghavi M.
Mestrovic T.
Gray A.
Gershberg Hayoon A.
Swetschinski L.
Davis Weaver N.
Ikuta K.
Chung E.
Wool E.
Han C.
Araki D.
Albertson S.
Bender R.
Bertolacci G.
Cunningham M.
Doxey M.
Ghoba S.
Hay S.
Kyu H.
Ledesma J.
Ma J.
Mosser J.
Mougin V.
Novotney A.
Troeger C.
Vongpradith A.
Wunrow H.
Murray C.
Naghavi M.
Mestrovic T.
Hay S.
Kyu H.
Mosser J.
Sartorius B.
Murray C.
Chung E.
Stergachis A.
Stergachis A.
Chung E.
Mestrovic T.
Robles Aguilar G.
Cooper B.
Dolecek C.
Ikuta K.
Bender R.
Browne A.
Doxey M.
Dunachie S.
Walters M.
Dunachie S.
Iregbu K.
Ledesma J.
Moore C.
Naghavi P.
Rosenthal V.
Mestrovic T.
Gray A.
Gershberg Hayoon A.
Swetschinski L.R.
Robles Aguilar G.
Davis Weaver N.
Ikuta K.S.
Chung E.
Wool E.E.
Han C.
Araki D.T.
Albertson S.B.
Bender R.
Bertolacci G.
Browne A.J.
Cooper B.S.
Cunningham M.W.
Dolecek C.
Doxey M.
Dunachie S.J.
Ghoba S.
Haines-Woodhouse G.
Hay S.I.
Hsu R.L.
Iregbu K.C.
Kyu H.H.
Ledesma J.R.
Ma J.
Moore C.E.
Mosser J.F.
Mougin V.
Naghavi P.
Novotney A.
Rosenthal V.D.
Sartorius B.
Stergachis A.
Troeger C.
Vongpradith A.
Walters M.K.
Wunrow H.Y.
Murray C.J.
Naghavi M.
Mestrovic T.
Gray A.
Gershberg Hayoon A.
Swetschinski L.
Davis Weaver N.
Ikuta K.
Chung E.
Wool E.
Han C.
Araki D.
Albertson S.
Bender R.
Bertolacci G.
Cunningham M.
Doxey M.
Ghoba S.
Hay S.
Kyu H.
Ledesma J.
Ma J.
Mosser J.
Mougin V.
Novotney A.
Troeger C.
Vongpradith A.
Wunrow H.
Murray C.
Naghavi M.
Mestrovic T.
Hay S.
Kyu H.
Mosser J.
Sartorius B.
Murray C.
Chung E.
Stergachis A.
Stergachis A.
Chung E.
Mestrovic T.
Robles Aguilar G.
Cooper B.
Dolecek C.
Ikuta K.
Bender R.
Browne A.
Doxey M.
Dunachie S.
Walters M.
Dunachie S.
Iregbu K.
Ledesma J.
Moore C.
Naghavi P.
Rosenthal V.
Author's Affiliation
University North
Mahidol Oxford Tropical Medicine Research Unit
NIHR Oxford Biomedical Research Centre
Herbert Wertheim College of Engineering
Institute for Health Metrics and Evaluation
Washington State Department of Health
St George’s, University of London
University of Miami Leonard M. Miller School of Medicine
Yale School of Medicine
University of Washington
Imperial College London
VA Medical Center
Brown University
Nuffield Department of Medicine
National Hospital, Abuja
Telethon Kids Institute
Division of Pediatric Infectious Disease
School of Medicine
Mahidol Oxford Tropical Medicine Research Unit
NIHR Oxford Biomedical Research Centre
Herbert Wertheim College of Engineering
Institute for Health Metrics and Evaluation
Washington State Department of Health
St George’s, University of London
University of Miami Leonard M. Miller School of Medicine
Yale School of Medicine
University of Washington
Imperial College London
VA Medical Center
Brown University
Nuffield Department of Medicine
National Hospital, Abuja
Telethon Kids Institute
Division of Pediatric Infectious Disease
School of Medicine
Corresponding Author(s)
Other Contributor(s)
Abstract
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. Findings: Globally in 2019, an estimated 704 million (95% UI 610–820) DALYs were associated with 85 different pathogens, including 309 million (250–377; 43·9% of the burden) in children younger than 5 years. This burden accounted for 27·7% (and 65·5% in those younger than 5 years) of the previously reported total DALYs from all causes in 2019. Comparing super-regions, considerable differences were observed in the estimated pathogen-associated burdens in relation to DALYs from all causes, with the highest burden observed in sub-Saharan Africa (314 million [270–368] DALYs; 61·5% of total regional burden) and the lowest in the high-income super-region (31·8 million [25·4–40·1] DALYs; 9·8%). Three leading pathogens were responsible for more than 50 million DALYs each in 2019: tuberculosis (65·1 million [59·0–71·2]), malaria (53·6 million [27·0–91·3]), and HIV or AIDS (52·1 million [46·6–60·9]). Malaria was the leading pathogen for DALYs in children younger than 5 years (37·2 million [17·8–64·2]). We also observed substantial burden associated with previously less recognised pathogens, including Staphylococcus aureus and specific Gram-negative bacterial species (ie, Klebsiella pneumoniae, Escherichia coli, Pseudomonas aeruginosa, Acinetobacter baumannii, and Helicobacter pylori). Conversely, some pathogens had a burden that was smaller than anticipated. Interpretation: Our detailed breakdown of DALYs associated with a comprehensive list of pathogens on a global, regional, and country level has revealed the magnitude of the problem and helps to indicate where research funding mismatch might exist. Given the disproportionate impact of infection on low-income and middle-income countries, an essential next step is for countries and relevant stakeholders to address these gaps by making targeted investments. Funding: Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care using UK aid funding managed by the Fleming Fund.