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

Woolhouse, Mark E.J.; Thumbi, Samuel M.; Jennings, Amy; Chase-Topping, Margo; Callaby, Rebecca; Kiara, Henry; Oosthuizen, Marinda C.; Mbole-Kariuki, Mary N.; Conradie, Ilana; Handel, Ian G.; Poole, E. Jane; Njiiri, Evalyne; Collins, Nicola E.; Murray, Gemma; Tapio, Miika; Auguet, Olga Tosas; Weir, Willie; Morrison, W. Ivan; Kruuk, Loeske E.B.; De Bronsvoort, C. B.Mark; Hanotte, Olivier; Coetzer, Koos; Toye, Philip G.

Abstract

© 2015 The Authors, some rights reserved. 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 ofmorbidity andmortality and of the impact of disease controlmeasures 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 inmortality 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-inducedmortality 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.

Citation

Woolhouse, M. E., Thumbi, S. M., Jennings, A., Chase-Topping, M., Callaby, R., Kiara, H., …Toye, P. G. (2015). Co-infections determine patterns of mortality in a population exposed to parasite infection. Science Advances, 1(2), Article e1400026. https://doi.org/10.1126/sciadv.1400026

• Journal Article Type: Article
• Acceptance Date: Feb 11, 2015
• Online Publication Date: Mar 20, 2015
• Publication Date: Mar 1, 2015
• Deposit Date: Feb 5, 2021
• Publicly Available Date: Feb 5, 2021
• Journal: Science Advances
• Electronic ISSN: 2375-2548
• Publisher: American Association for the Advancement of Science
• Peer Reviewed: Peer Reviewed
• Volume: 1
• Issue: 2
• Article Number: e1400026
• DOI: https://doi.org/10.1126/sciadv.1400026
• Public URL: https://nottingham-repository.worktribe.com/output/3119724
• Publisher URL: https://advances.sciencemag.org/content/1/2/e1400026