Evidence map›Paper›PMID 29911164›Full record

ArticleOne health (Amsterdam, Netherlands)2018

zDALY: An adjusted indicator to estimate the burden of zoonotic diseases.

Paul R Torgerson, Simon Rüegg, Brecht Devleesschauwer, Bernadette Abela-Ridder, Arie H Havelaar, Alexandra P M Shaw, Jonathan Rushton, Niko Speybroeck

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. The burden of zoonoses in Paraguay: A systematic review.PLoS neglected tropical diseases · 2021
    Pooled it
  5. Article
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  13. A New Tool to Assess the Economic Impact of Q Fever on Dairy Cattle Farms.Animals : an open access journal from MDPI · 2024
    Article
  14. Review
  15. Review
  16. 'One Health´ approach to end zoonotic TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
    Review
  17. Article
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Paul R TorgersonSection of Epidemiology, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 270, CH-8057 Zurich, Switzerland.
Simon RüeggSection of Epidemiology, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 270, CH-8057 Zurich, Switzerland.
Brecht DevleesschauwerInstitute of Health and Society (IRSS), Université catholique de Louvain, Clos Chapelle aux champs, 30, 1200 Bruxelles, Belgium.
Bernadette Abela-RidderDepartment of Food Safety and Zoonoses (FOS), World Health Organization, Avenue Appia 20, CH-1211 Geneva 27, Switzerland.
Arie H HavelaarInstitute for Sustainable Food Systems, Emerging Pathogens Institute and Animal Sciences Department, University of Florida, Gainesville, FL, USA.
Alexandra P M ShawDivision of Infection and Pathway Medicine, Edinburgh Medical School: Biomedical Sciences, College of Medicine and Veterinary Medicine, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK.
Jonathan RushtonInstitute of Infection and Global Health, University of Liverpool, UK.
Niko SpeybroeckInstitute of Health and Society (IRSS), Université catholique de Louvain, Clos Chapelle aux champs, 30, 1200 Bruxelles, Belgium.

Funding

World Health Organization 001
6 · The paper itself

Abstract

The burden of human diseases in populations, or for an individual, is frequently estimated in terms of one of a number of Health Adjusted Life Years (HALYs). The Disability Adjusted Life Year (DALY) is a widely accepted HALY metric and is used by the World Health Organization and the Global Burden of Disease studies. Many human diseases are of animal origin and often cause ill health and production losses in domestic animals. The economic losses due to disease in animals are usually estimated in monetary terms. The monetary impact on animal health is not compatible with HALY approaches used to measure the impact on human health. To estimate the societal burden of zoonotic diseases that have substantial human and animal disease burden we propose methodology which can be accommodated within the DALY framework. Monetary losses due to the animal disease component of a zoonotic disease can be converted to an equivalent metric using a local gross national income per capita deflator. This essentially gives animal production losses a time trade-off for human life years. This is the time required to earn the income needed to replace that financial loss. This can then be assigned a DALY equivalent, termed animal loss equivalents (ALE), and added to the DALY associated with human ill health to give a modified DALY. This is referred to as the "zDALY". ALEs could also be estimated using willingness-to-pay for animal health or survey tools to estimate the replacement time value for animals with high societal or emotional value (for example pets) that cannot be calculated directly using monetary worth. Thus the zDALY estimates the impact of a zoonotic disease to animal and human health. The losses due to the animal disease component of the modified DALY are straightforward to calculate. A number of worked examples such as echinococcosis, brucellosis, Q fever and cysticercosis from a diverse spectrum of countries with different levels of economic development illustrate the use of the zDALY indicator.

Indexed as

Animal disease lossesBurden of diseaseDisability-adjusted life yearsSocietal impactZoonotic diseases

Identifiers

PMID29911164
PMCPMC6000816

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.