Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Modelling the transmission dynamics and the effect of different control strategies for African swine fever virus in East Africa

Thesis (PhD)--University of Pretoria, 2018.

Saved in:
Bibliographic Details
Other Authors: Knobel, Darryn Leslie
Format: Thesis
Language:English
Published: University of Pretoria 2018
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613627466383360
access_status_str Open Access
author2 Knobel, Darryn Leslie
author_browse Knobel, Darryn Leslie
author_facet Knobel, Darryn Leslie
collection Thesis
dc_rights_str_mv � 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD)--University of Pretoria, 2018.
format Thesis
id oai:repository.up.ac.za:2263/67858
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:09.096Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2018
publishDateRange 2018
publishDateSort 2018
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/67858 Modelling the transmission dynamics and the effect of different control strategies for African swine fever virus in East Africa Knobel, Darryn Leslie barongom@gmail.com Bishop, Richard P. Bitamale, Mike Barongo UCTD Unrestricted Thesis (PhD)--University of Pretoria, 2018. African swine fever (ASF) is a highly contagious, lethal and economically devastating haemorrhagic disease of domestic pigs. Knowledge of the epidemiology of the disease is important for the design of improved control measures. Such insights of the dynamics of virus can be obtained from mathematical constructs. In this study, we used two methods to estimate the basic reproduction number (R0) from field data. Our estimates predicted persistence of ASF in pig populations and recommended enhanced biosecurity measures. We developed a stochastic model to assess the relative impact of the timing of the implementation of different control strategies on disease-related mortality. The results showed that intervention within 14 days of the outbreak and using a combination of strategies was the best control option. The modelling approach was particularly valuable in that it determined an optimal timing for implementation of interventions. A between-village spatial-deterministic model was developed. The model simulations showed that there were intervention windows of 30 days from the onset of the outbreak to reduce ASFV spread between villages. The study also analysed cross sectional data collected in a survey conducted in the study area to identify key parameters of low input production systems. We found out that farmers mostly kept local pig breeds by tethering. They fed the pigs on farm crop residues and household food leftovers or swill. We recommend timely intervention by authorities during outbreaks; the use of a cocktail of control strategies; restriction of free movement of animals; and improving the supply of affordable pig feeds to incentivize adoption of better husbandry and health practices and increasing pig productivity. Veterinary Tropical Diseases PhD 2018-12-05T08:05:38Z 2018-12-05T08:05:38Z 2009/06/18 2018 Thesis Bitamale, MB 2018, Modelling the transmission dynamics and the effect of different control strategies for African swine fever virus in East Africa, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/67858> S2018 http://hdl.handle.net/2263/67858 en � 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Unrestricted
Modelling the transmission dynamics and the effect of different control strategies for African swine fever virus in East Africa
title Modelling the transmission dynamics and the effect of different control strategies for African swine fever virus in East Africa
title_full Modelling the transmission dynamics and the effect of different control strategies for African swine fever virus in East Africa
title_fullStr Modelling the transmission dynamics and the effect of different control strategies for African swine fever virus in East Africa
title_full_unstemmed Modelling the transmission dynamics and the effect of different control strategies for African swine fever virus in East Africa
title_short Modelling the transmission dynamics and the effect of different control strategies for African swine fever virus in East Africa
title_sort modelling the transmission dynamics and the effect of different control strategies for african swine fever virus in east africa
topic UCTD
Unrestricted
url http://hdl.handle.net/2263/67858