dc.contributor.author |
Anderson, Aaron
|
|
dc.contributor.author |
Kotze, Johann
|
|
dc.contributor.author |
Shwiff, Stephanie A
|
|
dc.contributor.author |
Hatch, Brody
|
|
dc.contributor.author |
Slootmaker, Chris
|
|
dc.contributor.author |
Conan, Anne
|
|
dc.contributor.author |
Knobel, Darryn Leslie
|
|
dc.contributor.author |
Nel, Louis Hendrik
|
|
dc.date.accessioned |
2020-07-13T10:30:26Z |
|
dc.date.available |
2020-07-13T10:30:26Z |
|
dc.date.issued |
2019-05-22 |
|
dc.description.abstract |
We present a new modeling tool that can be used to maximize the impact of canine rabies management resources that are available at the local level. The model is accessible through a web-based interface that allows for flexibility in the management strategies that can be investigated. Rabies vaccination, sterilization, chemo-contraception, and euthanasia can be specified and limited to specific demographic groups. Additionally, we allowed for considerable complexity in the specification of management costs. In many areas, the costs of contacting additional dogs increases as management effort increases, and this can have important strategic implications. We illustrated the application of the model by examining several alternative management strategies in an area of Mpumalanga Province, South Africa. Our results based on this dog population suggested that puppies should be vaccinated and sterilization would not be optimal if the spatial extent of management is not large (and perhaps not even then). Furthermore, given a sufficient budget, it was evident that vaccination campaigns should be repeated annually. |
en_ZA |
dc.description.department |
Biochemistry |
en_ZA |
dc.description.department |
Genetics |
en_ZA |
dc.description.department |
Microbiology and Plant Pathology |
en_ZA |
dc.description.department |
Veterinary Tropical Diseases |
en_ZA |
dc.description.librarian |
hj2020 |
en_ZA |
dc.description.sponsorship |
The intramural research program of the U.S. Department of Agriculture and UBS Optimus Foundation. |
en_ZA |
dc.description.uri |
http://www.plosntds.org |
en_ZA |
dc.identifier.citation |
Anderson, A., Kotzé, J., Shwiff, S.A. et al. A bioeconomic model for the optimization of local canine rabies control. PLoS Neglected Tropical Diseases 2019, 13(5): e0007377. https://DOI.org/10.1371/journal.pntd.0007377. |
en_ZA |
dc.identifier.issn |
1935-2727 (print) |
|
dc.identifier.issn |
1935-2735 (online) |
|
dc.identifier.other |
10.1371/journal.pntd.0007377 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/75168 |
|
dc.language.iso |
en |
en_ZA |
dc.publisher |
Public Library of Science |
en_ZA |
dc.rights |
© 2019 by Author (s). This is an open access article, free of all
copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. |
en_ZA |
dc.subject |
Optimization |
en_ZA |
dc.subject |
Canine rabies |
en_ZA |
dc.subject |
Mpumalanga province, South Africa |
en_ZA |
dc.subject |
Management |
en_ZA |
dc.subject |
Dogs (Canis familiaris) |
en_ZA |
dc.title |
A bioeconomic model for the optimization of local canine rabies control |
en_ZA |
dc.type |
Article |
en_ZA |