Evidence map›Paper›PMID 26601143›Full record

ArticleScience advances2015

Co-infections determine patterns of mortality in a population exposed to parasite infection.

Mark E J Woolhouse, Samuel M Thumbi, Amy Jennings, Margo Chase-Topping, Rebecca Callaby, Henry Kiara, Marinda C Oosthuizen, Mary N Mbole-Kariuki, Ilana Conradie, Ian G Handel and 13 more

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% of its field
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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
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  11. Modelling morbidity for neglected tropical diseases: the long and winding road from cumulative exposure to long-term pathology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  12. Dynamics of Infections in Cattle andPathogens (Basel, Switzerland) · 2023
    Article
  13. Temporal Dynamics ofMicroorganisms · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Article
  20. Natural resistance to worms exacerbates bovine tuberculosis severity independently of worm coinfection.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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

23 authors at 8 institutions in 5 countries.

Mark E J WoolhouseCentre for Immunity, Infection and Evolution, University of Edinburgh, Ashworth Laboratories, Kings Buildings, West Mains Road, Edinburgh EH9 3JT, UK.
Samuel M ThumbiCentre for Immunity, Infection and Evolution, University of Edinburgh, Ashworth Laboratories, Kings Buildings, West Mains Road, Edinburgh EH9 3JT, UK. ; Paul G. Allen School for Global Animal Health, Washington State University, Pullman, WA 99164-7090, USA.
Amy JenningsRoyal (Dick) School of Veterinary Studies, University of Edinburgh, The Roslin Building, Easter Bush, Midlothian EH25 9RG, UK. ; The Roslin Institute, University of Edinburgh, The Roslin Building, Easter Bush, Midlothian EH25 9RG, UK.
Margo Chase-ToppingCentre for Immunity, Infection and Evolution, University of Edinburgh, Ashworth Laboratories, Kings Buildings, West Mains Road, Edinburgh EH9 3JT, UK.
Rebecca CallabyCentre for Immunity, Infection and Evolution, University of Edinburgh, Ashworth Laboratories, Kings Buildings, West Mains Road, Edinburgh EH9 3JT, UK. ; The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH, UK.
Henry KiaraInternational Livestock Research Institute, P.O. Box 30709, Nairobi 00100, Kenya.
Marinda C OosthuizenDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Private Bag X04, Onderstepoort 0110, South Africa.
Mary N Mbole-KariukiInternational Livestock Research Institute, P.O. Box 30709, Nairobi 00100, Kenya. ; School of Life Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK.
Ilana ConradieDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Private Bag X04, Onderstepoort 0110, South Africa.
Ian G HandelRoyal (Dick) School of Veterinary Studies, University of Edinburgh, The Roslin Building, Easter Bush, Midlothian EH25 9RG, UK. ; The Roslin Institute, University of Edinburgh, The Roslin Building, Easter Bush, Midlothian EH25 9RG, UK.
E Jane PooleInternational Livestock Research Institute, P.O. Box 30709, Nairobi 00100, Kenya.
Evalyne NjiiriInternational Livestock Research Institute, P.O. Box 30709, Nairobi 00100, Kenya.
Nicola E CollinsDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Private Bag X04, Onderstepoort 0110, South Africa.
Gemma MurrayCentre for Immunity, Infection and Evolution, University of Edinburgh, Ashworth Laboratories, Kings Buildings, West Mains Road, Edinburgh EH9 3JT, UK.
Miika TapioNatural Resources Institute Finland (Luke), Green technology, FI-31600 Jokioinen, Finland.
Olga Tosas AuguetCentre for Immunity, Infection and Evolution, University of Edinburgh, Ashworth Laboratories, Kings Buildings, West Mains Road, Edinburgh EH9 3JT, UK.
Willie WeirHenry Wellcome Building, Institute of Biodiversity, Animal Health and Comparative Medicine, Garscube Campus, College of Medical, Veterinary and Life Sciences, University of Glasgow, Bearsden Road, Glasgow G61 1QH, UK.
W Ivan MorrisonRoyal (Dick) School of Veterinary Studies, University of Edinburgh, The Roslin Building, Easter Bush, Midlothian EH25 9RG, UK. ; The Roslin Institute, University of Edinburgh, The Roslin Building, Easter Bush, Midlothian EH25 9RG, UK.
Loeske E B KruukCentre for Immunity, Infection and Evolution, University of Edinburgh, Ashworth Laboratories, Kings Buildings, West Mains Road, Edinburgh EH9 3JT, UK. ; Division of Evolution, Ecology and Genetics, Research School of Biology, The Australian National University, Canberra, Australian Capital Territory 0200, Australia.
B Mark de C BronsvoortRoyal (Dick) School of Veterinary Studies, University of Edinburgh, The Roslin Building, Easter Bush, Midlothian EH25 9RG, UK. ; The Roslin Institute, University of Edinburgh, The Roslin Building, Easter Bush, Midlothian EH25 9RG, UK.
Olivier HanotteSchool of Life Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK.
Koos CoetzerDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Private Bag X04, Onderstepoort 0110, South Africa.
Philip G ToyeInternational Livestock Research Institute, P.O. Box 30709, Nairobi 00100, Kenya.
International Livestock Research Institute · KECentre for Immunity, Infection and Evolution · GBOnderstepoort Veterinary Academic Hospital · ZAUniversity of Edinburgh · GBUniversity of Pretoria · ZAAustralian National University · AUNatural Resources Institute Finland · FIUniversity of Nottingham · GB

Funding

Biotechnology and Biological Sciences Research Council BB/H009515/1Biotechnology and Biological Sciences Research Council BBS/E/D/05191133Wellcome Trust 095831
6 · The paper itself

Abstract

Many individual hosts are infected with multiple parasite species, and this may increase or decrease the pathogenicity of the infections. This phenomenon is termed heterologous reactivity and is potentially an important determinant of both patterns of morbidity and mortality and of the impact of disease control measures at the population level. Using infections with Theileria parva (a tick-borne protozoan, related to Plasmodium) in indigenous African cattle [where it causes East Coast fever (ECF)] as a model system, we obtain the first quantitative estimate of the effects of heterologous reactivity for any parasitic disease. In individual calves, concurrent co-infection with less pathogenic species of Theileria resulted in an 89% reduction in mortality associated with T. parva infection. Across our study population, this corresponds to a net reduction in mortality due to ECF of greater than 40%. Using a mathematical model, we demonstrate that this degree of heterologous protection provides a unifying explanation for apparently disparate epidemiological patterns: variable disease-induced mortality rates, age-mortality profiles, weak correlations between the incidence of infection and disease (known as endemic stability), and poor efficacy of interventions that reduce exposure to multiple parasite species. These findings can be generalized to many other infectious diseases, including human malaria, and illustrate how co-infections can play a key role in determining population-level patterns of morbidity and mortality due to parasite infections.

Indexed as

case fatalitycattleEast Coast feverendemic stabilityEpidemiologyheterologous protectionmalariaMathematical modelTheileria parvavaccination

Identifiers

PMID26601143
PMCPMC4643819
OpenAlexW2011918626

What OpenQuestion holds

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LicenceCC BY
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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.