Hostname: page-component-78c5997874-8bhkd Total loading time: 0 Render date: 2024-11-10T15:52:02.338Z Has data issue: false hasContentIssue false

Investigating the epidemiology of heartwater (Cowdria ruminantium infection) by means of a transmission dynamics model

Published online by Cambridge University Press:  01 July 1998

C. J. O'CALLAGHAN
Affiliation:
Department of Biological Sciences, University of Warwick, Coventry CV4 7AL, UK
G. F. MEDLEY
Affiliation:
Department of Biological Sciences, University of Warwick, Coventry CV4 7AL, UK
T. F. PETER
Affiliation:
University of Florida/USAID/SADC Heartwater Research Project, Veterinary Research Laboratory, PO Box CY 551, Causeway, Harare, Zimbabwe
B. D. PERRY
Affiliation:
International Livestock Research Institute (ILRI), PO Box 30709, Nairobi, Kenya

Abstract

A mathematical model of the transmission dynamics of Cowdria ruminantium by the ixodid tick Amblyomma hebraeum in the bovine host is developed and used to investigate the epidemiology of heartwater across a range of vector challenge. The processes described are supported by empirical data. The pattern of outcome measures (incidence, case-fatality and proportion of infected hosts) predicted agrees with those described anecdotally from field experience and empirical observation, and demonstrates the concept of endemic stability. The underlying theory is explored and it is shown that endemic stability may be due principally to the protection of calves against disease by either innate or maternally derived factors. The role of vertical infection in the establishment and maintenance of endemic stability is also investigated. Although increasing the vertical infection proportion results in endemic stability occurring at progressively lower levels of tick challenge, the concomitant reduction in incidence and case-fatality predictions across the range of tick challenge means the endemically stable state simultaneously becomes less discernible. Model limitations and future developments are discussed. The essential role of a transmission dynamics model in assessing the impact of new vaccines in conjunction with vector control programmes is highlighted.

Type
Research Article
Copyright
1998 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)