Farm-Level Risk Factors of Increased Abortion and Mortality in Domestic Ruminants during the 2010 Rift Valley Fever Outbreak in Central South Africa
(1) Background: Rift Valley fever (RVF) outbreaks in domestic ruminants have severe socio-economic impacts. Climate-based continental predictions providing early warnings to regions at risk for RVF outbreaks are not of a high enough resolution for ruminant owners to assess their individual risk. (2)...
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doaj-01ef624abab14627bb195084db560bd82020-11-25T04:08:05ZengMDPI AGPathogens2076-08172020-11-01991491410.3390/pathogens9110914Farm-Level Risk Factors of Increased Abortion and Mortality in Domestic Ruminants during the 2010 Rift Valley Fever Outbreak in Central South AfricaMelinda K. Rostal0Sarah Cleaveland1Claudia Cordel2Lara van Staden3Louise Matthews4Assaf Anyamba5William B. Karesh6Janusz T. Paweska7Daniel T. Haydon8Noam Ross9EcoHealth Alliance, New York, NY 10018, USAInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UKExecuVet PTY LTD., Bloemfontein 9301, Free State, South AfricaExecuVet PTY LTD., Bloemfontein 9301, Free State, South AfricaInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UKUniversities Space Research Association, Columbia, MD 21046, USAEcoHealth Alliance, New York, NY 10018, USACentre for Emerging Zoonotic and Parasitic Diseases, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg 2192, South AfricaInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UKEcoHealth Alliance, New York, NY 10018, USA(1) Background: Rift Valley fever (RVF) outbreaks in domestic ruminants have severe socio-economic impacts. Climate-based continental predictions providing early warnings to regions at risk for RVF outbreaks are not of a high enough resolution for ruminant owners to assess their individual risk. (2) Methods: We analyzed risk factors for RVF occurrence and severity at the farm level using the number of domestic ruminant deaths and abortions reported by farmers in central South Africa during the 2010 RVF outbreaks using a Bayesian multinomial hurdle framework. (3) Results: We found strong support that the proportion of days with precipitation, the number of water sources, and the proportion of goats in the herd were positively associated with increased severity of RVF (the numbers of deaths and abortions). We did not find an association between any risk factors and whether RVF was reported on farms. (4) Conclusions: At the farm level we identified risk factors of RVF severity; however, there was little support for risk factors of RVF occurrence. The identification of farm-level risk factors for Rift Valley fever virus (RVFV) occurrence would support and potentially improve current prediction methods and would provide animal owners with critical information needed in order to assess their herd’s risk of RVFV infection.https://www.mdpi.com/2076-0817/9/11/914Rift Valley feverabortionsdeathsBayesianclinical signsrisk factors |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Melinda K. Rostal Sarah Cleaveland Claudia Cordel Lara van Staden Louise Matthews Assaf Anyamba William B. Karesh Janusz T. Paweska Daniel T. Haydon Noam Ross |
spellingShingle |
Melinda K. Rostal Sarah Cleaveland Claudia Cordel Lara van Staden Louise Matthews Assaf Anyamba William B. Karesh Janusz T. Paweska Daniel T. Haydon Noam Ross Farm-Level Risk Factors of Increased Abortion and Mortality in Domestic Ruminants during the 2010 Rift Valley Fever Outbreak in Central South Africa Pathogens Rift Valley fever abortions deaths Bayesian clinical signs risk factors |
author_facet |
Melinda K. Rostal Sarah Cleaveland Claudia Cordel Lara van Staden Louise Matthews Assaf Anyamba William B. Karesh Janusz T. Paweska Daniel T. Haydon Noam Ross |
author_sort |
Melinda K. Rostal |
title |
Farm-Level Risk Factors of Increased Abortion and Mortality in Domestic Ruminants during the 2010 Rift Valley Fever Outbreak in Central South Africa |
title_short |
Farm-Level Risk Factors of Increased Abortion and Mortality in Domestic Ruminants during the 2010 Rift Valley Fever Outbreak in Central South Africa |
title_full |
Farm-Level Risk Factors of Increased Abortion and Mortality in Domestic Ruminants during the 2010 Rift Valley Fever Outbreak in Central South Africa |
title_fullStr |
Farm-Level Risk Factors of Increased Abortion and Mortality in Domestic Ruminants during the 2010 Rift Valley Fever Outbreak in Central South Africa |
title_full_unstemmed |
Farm-Level Risk Factors of Increased Abortion and Mortality in Domestic Ruminants during the 2010 Rift Valley Fever Outbreak in Central South Africa |
title_sort |
farm-level risk factors of increased abortion and mortality in domestic ruminants during the 2010 rift valley fever outbreak in central south africa |
publisher |
MDPI AG |
series |
Pathogens |
issn |
2076-0817 |
publishDate |
2020-11-01 |
description |
(1) Background: Rift Valley fever (RVF) outbreaks in domestic ruminants have severe socio-economic impacts. Climate-based continental predictions providing early warnings to regions at risk for RVF outbreaks are not of a high enough resolution for ruminant owners to assess their individual risk. (2) Methods: We analyzed risk factors for RVF occurrence and severity at the farm level using the number of domestic ruminant deaths and abortions reported by farmers in central South Africa during the 2010 RVF outbreaks using a Bayesian multinomial hurdle framework. (3) Results: We found strong support that the proportion of days with precipitation, the number of water sources, and the proportion of goats in the herd were positively associated with increased severity of RVF (the numbers of deaths and abortions). We did not find an association between any risk factors and whether RVF was reported on farms. (4) Conclusions: At the farm level we identified risk factors of RVF severity; however, there was little support for risk factors of RVF occurrence. The identification of farm-level risk factors for Rift Valley fever virus (RVFV) occurrence would support and potentially improve current prediction methods and would provide animal owners with critical information needed in order to assess their herd’s risk of RVFV infection. |
topic |
Rift Valley fever abortions deaths Bayesian clinical signs risk factors |
url |
https://www.mdpi.com/2076-0817/9/11/914 |
work_keys_str_mv |
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