Seroprevalence and associated risk factors of West Nile virus in selected equine populations in South Africa

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University of Pretoria

Abstract

The  family  Flaviviridae  consists  of  94  species,  which  are  distributed  worldwide.  Viruses in this family share aetiological properties such as membrane envelope proteins,  resulting  in  diagnostic  cross-­‐reactivity.  Flaviviruses  are  divided  into  two  clades; arthropod-­‐borne and non-­‐arthropod borne viruses. The most predominant flavivirus seen in horses is West Nile virus (WNV), belonging to the arthropod-­‐borne clade.  West  Nile  virus  has  been  divided  into  two  lineages,  of  which,  the  second  lineage is primarily found in South Africa. West Nile virus is transmitted through vector species, of which mosquito species are most  predominant.  Two  genera  of  mosquitoes  in  particular,  Aedes  and  Culex  are  widely distributed and are fundamental in the transmission of the virus to both reservoir  hosts  and  incidental  hosts.  Other  vectors  included  in  the  transmission he  family  Flaviviridae  consists  of  94  species,  which  are  distributed  worldwide.  Viruses in this family share aetiological properties such as membrane envelope proteins,  resulting  in  diagnostic  cross-­‐reactivity.  Flaviviruses  are  divided  into  two  clades; arthropod-­‐borne and non-­‐arthropod borne viruses. The most predominant flavivirus seen in horses is West Nile virus (WNV), belonging to the arthropod-­‐borne clade.  West  Nile  virus  has  been  divided  into  two  lineages,  of  which,  the  second  lineage is primarily found in South Africa. West Nile virus is transmitted through vector species, of which mosquito species are most  predominant.  Two  genera  of  mosquitoes  in  particular,  Aedes  and  Culex  are  widely distributed and are fundamental in the transmission of the virus to both reservoir  hosts  and  incidental  hosts.  Other  vectors  included  in  the  transmission Blood  samples  were  initially  tested  using  the  serum  neutralization  test  (SNT).  Documented positive and negative samples were then subjected to a capture IgG sandwich  enzyme-­‐linked  immunosorbant  assay  (ELISA).  The  results  of  the  two  assays were compared with one another, proving to correlate efficiently, giving the resultant  seroprevalence  percentages  for  each  province,  and  then  were  used  in  comparison with the outcome of the questionnaires to determine significant associated  risk  factors.  Results  were  analyzed  with  both  univariable  and  multivariable analyses, taking clustering into consideration, to determine both apparent  and  prevalence  estimate  for  each  province  and  significance  of  seropositivity with associated risk factors. A  small  population  of  mosquitoes  was  collected  in  both  Gauteng  and  Mpumalanga  Provinces and were identified and separated into species. A nested SYBR green real-­‐time PCR assay was conducted on the pooled species of mosquitoes. All species presented  negative  for  the  presence  of  WNV,  which  could  be  a  result  of  a  low  number of mosquitoes or a low prevalence of WNV in each species. The species identified included: Culex spp., Aedes spp. and Anopheles spp. The  SNT  were  used  to  determine  the  apparent  seroprevalence  of  WNV  in  the  collected serum samples, thereafter, the prevalence estimate was calculated with a 95% confidence interval, taking clustering into consideration, for each province. The Free  State  Province  had  a  high  seroprevalence  of  73%  (95%  CI  64-­‐81%),  the  Western Cape Province had a seroprevalence of 65% (95% CI 51-­‐79%) and Gauteng Province  had  a  seroprevalence  of  61%  (95%  CI  61-­‐62%).  Limpopo  Province  had a  seroprevalence of 60% (95% CI 45-­‐74%), followed by Northern Cape Province with 57%  (95%  CI  48-­‐66%),  KwaZulu-­‐Natal  Province  with  54%  (95%  CI  43-­‐65%)  and  Mpumalanga Province with 56% (95% CI 40-­‐73%). The North West and Eastern Cape Provinces had lower seroprevalences of 43% (95% CI 34-­‐52%) and 48% (95% CI 43-­‐54%) respectively. Overall, the apparent seroprevalence for South Africa was 59% (95% CI 54-­‐64) using the SNT. The ELISA assays showed similar results to the SNT, with a 61% (95% CI 44-­‐79%) seroprevalence of WNV for South Africa. Gauteng Province had a seroprevalence of 47% (95% CI 44-­‐79%), KwaZulu-­‐Natal Province had a seroprevalence of 24% (95% CI  44-­‐79%),  Northern  Cape  Province  had  78%  (95%  CI  44-­‐79%)  seroposivitiy,  Eastern Cape Province had a seroprevalence of 68% (95% CI 44-­‐79%), North West Province with 59% (95% CI 44-­‐79%) and Mpumalanga Province had a seropositivity of  79%  (95%  CI  44-­‐79%).  The  results  obtained  using  the  ELISA  had  a  moderate  agreement with the SNT results (Kappa = 0.5).The  univariable  analysis  showed  association  of  WNV  seropositive  horses  with;  various agricultural activities, contact with different animal species, presence of annual  frost,  assorted  water  sources,  occurrence  of  standing  water  pools  and  presence of Culicoides midges. These variables were subjected to multivariab analysis.  The  variables  that  indicated  a  p-­‐value  of  less  than  0.05  were  considered  significant. Among these values were agricultural activities, such as livestock in the Free State Province, forestry in Mpumalanga Province and vineyards in the Western Cape  Province.  Contact  with  small  ruminants  and  other  species  were  the  only  significant species associated with WNV seropositive horses. Both standing pools of water and river sources were associated with seroprevalence in different provinces. Lastly,  annual  frost  was  only  associated  with  seroprevalence  in  the  Limpopo  Province. Of the medical history and symptoms, fever was the singular variable associated with seropositivity. It is evident that many positive cases of infected horses are either not being reported or  are  not  presenting  with  substantial  clinical  signs.  The  horses  included  in  this  study were from various age groups, different sexes and breeds and participated in various disciplines. Racehorses were excluded from the study due to their movement throughout  the  country  making  them  bad  sentinels  for  the  study.  The  high  seroprevalence of WNV in horse populations, determined in this study, indicates a subsequent high exposure rate throughout South Africa, varying amongst provinces. The risk factors associated with seroprevalence were all area specific, indicating the importance of habitats and the role it plays in transmission due to the presence of potential vectors. This study also noted a lack of knowledge about the transmission and  prevalence  of  WNV  amongst  horse  owners  in  South  Africa.

Description

Dissertation (MSc (Veterinary Sciences))--University of Pretoria, 2018.

Keywords

UCTD, Sustainable Development Goals (SDGs), South Africa, Equine, Viraemia, West Nile virus, Mosquitoes

Sustainable Development Goals

SDG-03: Good health and well-being
SDG-15: Life on land

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