scholarly journals Evaluating the impact of 2010 Rift Valley fever outbreaks on sheep numbers in three provinces of South Africa

2017 ◽  
Vol 12 (12) ◽  
pp. 979-986 ◽  
Author(s):  
Mdlulwa Zimbini ◽  
B. Ngwane Cynthia
Keyword(s):  
South Africa ◽  
Rift Valley ◽  
Rift Valley Fever ◽  
Valley Fever ◽  
The Impact

scholarly journals Human Cases of Rift Valley Fever in South Africa, 2018

2018 ◽  
Vol 18 (12) ◽  
pp. 713-715 ◽  
Author(s):  
Petrus Jansen van Vuren ◽  
Joe Kgaladi ◽  
Venessa Patharoo ◽  
Phumza Ohaebosim ◽  
Veerle Msimang ◽  
...  
Keyword(s):  
South Africa ◽  
Rift Valley ◽  
Rift Valley Fever ◽  
Valley Fever

Neutralizing antibodies against Rift Valley fever virus in wild antelope in far northern KwaZulu‐Natal, South Africa, indicate recent virus circulation

2020 ◽  
Vol 67 (3) ◽  
pp. 1356-1363
Author(s):  
Carien Van den Bergh ◽  
Estelle H. Venter ◽  
Robert Swanepoel ◽  
Cathariné C. Hanekom ◽  
Peter N. Thompson
Keyword(s):  
South Africa ◽  
Rift Valley ◽  
Neutralizing Antibodies ◽  
Rift Valley Fever ◽  
Rift Valley Fever Virus ◽  
Fever Virus ◽  
Valley Fever ◽  
Kwazulu Natal

scholarly journals Modeling the Impact of Climate Change on the Dynamics of Rift Valley Fever

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Saul C. Mpeshe ◽  
Livingstone S. Luboobi ◽  
Yaw Nkansah-Gyekye
Keyword(s):  
Climate Change ◽  
Rift Valley ◽  
Rift Valley Fever ◽  
Model Parameters ◽  
Climatic Data ◽  
Elasticity Analysis ◽  
Expected Number ◽  
Valley Fever ◽  
Temperature And Precipitation ◽  
The Impact

A deterministic SEIR model of rift valley fever (RVF) with climate change parameters was considered to compute the basic reproduction numberℛ0and investigate the impact of temperature and precipitation onℛ0. To study the effect of model parameters toℛ0, sensitivity and elasticity analysis ofℛ0were performed. When temperature and precipitation effects are not considered,ℛ0is more sensitive to the expected number of infectedAedesspp. due to one infected livestock and more elastic to the expected number of infected livestock due to one infectedAedesspp. When climatic data are used,ℛ0is found to be more sensitive and elastic to the expected number of infected eggs laid byAedesspp. via transovarial transmission, followed by the expected number of infected livestock due to one infectedAedesspp. and the expected number of infectedAedesspp. due to one infected livestock for both regions Arusha and Dodoma. These results call for attention to parameters regarding incubation period, the adequate contact rate ofAedesspp. and livestock, the infective periods of livestock andAedesspp., and the vertical transmission inAedesspecies.

scholarly journals Detection of Rift Valley Fever Virus Lineage H from South Africa through Syndromic Sentinel Surveillance Network in Senegal

2021 ◽  
Author(s):  
Ndeye Sakha Bob ◽  
Mamadou Aliou Barry ◽  
Moussa Moise Diagne ◽  
Martin Faye ◽  
Marie Henriette Dior Ndione ◽  
...  
Keyword(s):  
South Africa ◽  
Rift Valley ◽  
Surveillance System ◽  
Rift Valley Fever ◽  
Rift Valley Fever Virus ◽  
Fever Virus ◽  
Enzyme Linked Immunosorbent Assay ◽  
Rt Pcr ◽  
Surveillance Network ◽  
Valley Fever

Abstract Background Rift Valley fever virus (RVFV) is an arbovirus that causes epizootics and epidemics among livestock population and humans. Our surveillance system has revealed multiple emergences and re-emergences of RVFV in West Africa over the last decade. Methods In Senegal a sentinel syndromic surveillance network (4S) has been implemented since 2011. Samples from human suspected arbovirus infection in 4S sentinel sites were sent to Institut Pasteur de Dakar (IPD) where arbovirus diagnosis by enzyme-linked immunosorbent assay (ELISA), real-time reverse transcription polymerase chain reaction (RT-PCR), and virus isolation were performed. Overall, IPD has received a total of 1,149 samples from arboviral suspected patients through the 4S network from January to December 2020. These samples were screened for seven arboviruses including RVFV. Whole genome sequencing of positive RVFV samples by RT-PCR were performed using Illumina Miseq platform followed by genome assembly. Phylogenetic analysis were performed using MEGA X. Results Out of the 1,149 arbovirus suspected cases, four RVFV positive samples were detected with RT-PCR while five RVFV positive samples were detected by ELISA. Complete genome sequences were obtained for three strains among the four positive samples by RT-PCR. Phylogenetic analyses indicated an emergence of a virus first described in South Africa during a major outbreak. Conclusion Strong surveillance system allowed the detection of RVFV outbreak in Senegal in 2020. The obtained genomes clustered with strains from South Africa belonging to lineage H. This calls for an implementation of a strong surveillance system in wild animals, humans, and livestock simultaneously in all African Countrries.

scholarly journals Farm-Level Risk Factors of Increased Abortion and Mortality in Domestic Ruminants during the 2010 Rift Valley Fever Outbreak in Central South Africa

Pathogens ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 914
Author(s):  
Melinda K. Rostal ◽  
Sarah Cleaveland ◽  
Claudia Cordel ◽  
Lara van Staden ◽  
Louise Matthews ◽  
...  
Keyword(s):  
Risk Factors ◽  
South Africa ◽  
Rift Valley ◽  
Rift Valley Fever ◽  
Strong Support ◽  
Individual Risk ◽  
Valley Fever ◽  
Farm Level ◽  
Domestic Ruminants ◽  
Central South

(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.

scholarly journals Transmission Potential of Rift Valley Fever Virus over the Course of the 2010 Epidemic in South Africa

2013 ◽  
Vol 19 (6) ◽  
pp. 916-924 ◽  
Author(s):  
Raphaëlle Métras ◽  
Marc Baguelin ◽  
W. John Edmunds ◽  
Peter N. Thompson ◽  
Alan Kemp ◽  
...  
Keyword(s):  
South Africa ◽  
Rift Valley ◽  
Rift Valley Fever ◽  
Rift Valley Fever Virus ◽  
Fever Virus ◽  
Valley Fever ◽  
Transmission Potential

scholarly journals Exploratory Space-Time Analyses of Rift Valley Fever in South Africa in 2008–2011

2012 ◽  
Vol 6 (8) ◽  
pp. e1808 ◽  
Author(s):  
Raphaëlle Métras ◽  
Thibaud Porphyre ◽  
Dirk U. Pfeiffer ◽  
Alan Kemp ◽  
Peter N. Thompson ◽  
...  
Keyword(s):  
South Africa ◽  
Rift Valley ◽  
Rift Valley Fever ◽  
Space Time ◽  
Valley Fever
Sign in / Sign up

Export Citation Format

Share Document