Participatory Epidemiological Assessment of Priority Livestock Diseases, Their Seasonal Occurrence and Impact on Livelihood in Mandera West Sub-County, Mandera County, Kenya

Participatory epidemiology (PE) is a valuable technique for mapping livestock diseases, as it recognizes the indigenous knowledge held by pastoral communities regarding diseases that impact their livelihood and acknowledges the creative capacity of these communities, which can be harnessed to complement scientific disease control and prevention measures. The study aimed to evaluate the priority livestock diseases, their seasonal occurrence, and their impact on the livelihood of communities in Mandera West Sub-County, Mandera County, Kenya. A Cross-sectional study using participatory epidemiological (PE) methods and approaches was conducted with livestock keepers in Mandera west Sub-county from December 2021 to January 2022. Forty group discussions of 10-15 informants involving both men and women were held in 40 randomly selected villages in five administrative wards (Gither, Dandu, Lagsure, Didkuro and Takaba). Data collection tools used in PE study consisted of semi-structured interviews, simple ranking, pair-wise ranking, proportional piling, matrix scoring, disease impact matrix scoring (DIMs) and seasonal calendars. Livestock species were ranked by informants based on economic value to their livelihood. The order was camel, goats, cattle, sheep, donkey, and poultry. The top five priority livestock diseases were Camel Pox, Contagious Caprine Pleuropneumonia (CCPP), Peste des Petits Ruminants (PPR), Contagious Bovine Pleuropneumonia (CBPP), and Enterotoxaemia. Disease Impact Matrix Scoring (DIMs) revealed CCPP as having the highest livelihood impact at 35.4%, followed by PPR (32.8%), CBPP (30.6%), and trypanosomiasis (28.1%). Proportional pilling indicated Black Quarter (BQ), Enterotoxaemia, CCPP, and Camel Pox had highest case fatalities (CF) of 69.8%, 55.9%, 45.5%, and 37.2% respectively. Informants identified four main seasons: Bira (January to March, dry season), Gan (April to June, long rain), Atholes (July to September, cold season), and Agay (October to December, short rain). Trypanosomiasis and mange were prevalent during the dry season, while CBPP, PPR, and CCPP were high in the cold season. Foot and Mouth Disease (FMD) and Sheep and Goat Pox (SGP) occurred frequently during the long rain, while Camel Pox and Haemorrhagic Septicemia (H.S) tended to occur during the short rain. In conclusion, the PE study identified a strong consensus among key informants in ranking priority livestock diseases, such as Camel Pox, CCPP, PPR, CBPP, and Enterotoxaemia. CCPP, PPR, CBPP, and trypanosomiasis had the most significant impact on community livelihoods. The study underscores the value of community involvement in disease control, utilizing indigenous knowledge

Establishing a One Health office in Kenya

A One Health (OH) approach that integrates human,animal and environmental approaches to management of zoonotic diseases has gained momentum in the last decadeas part of a strategy to prevent and control emerging infectious diseases. However, there are few examples of howan OH approach can be established in a country. Kenya establishment of an OH office, referred to asthe Zoonotic Disease Unit (ZDU) in 2011. The ZDU bridges theanimal and human health sectors with a senior epidemiologist deployed from each ministry; and agoal of maintaining collaboration at the animal and human health interface towards better prevention and control of zoonoses.The country is adding an ecologist to the ZDU to ensure that environmental risks are adequately addressed in emerging disease control

Detection of rift valley Fever virus interepidemic activity in some hotspot areas of kenya by sentinel animal surveillance, 2009-2012

Rift Valley fever virus causes an important zoonotic disease of humans and small ruminants in Eastern Africa and is spread primarily by a mosquito vector. In this region, it occurs as epizootics that typically occur at 5–15-year intervals associated with unusual rainfall events. It has hitherto been known that the virus is maintained between outbreaks in dormant eggs of the mosquito vector and this has formed the basis of understanding of the epidemiology and control strategies of the disease. We show here that seroconversion and sporadic acute disease do occur during the interepidemic periods (IEPs) in the absence of reported cases in livestock or humans. The finding indicates that previously undetected low-level virus transmission during the IEPs does occur and that epizootics may also be due to periodic expansion of mosquito vectors in the presence of both circulating virus and naïve animals

Randomized controlled field trial to assess the immunogenicity and safety of rift valley fever clone 13 vaccine in livestock

BACKGROUND:Although livestock vaccination is effective in preventing Rift Valley fever (RVF) epidemics, there are concerns about safety and effectiveness of the only commercially available RVF Smithburn vaccine. We conducted a randomized controlled field trial to evaluate the immunogenicity and safety of the new RVF Clone 13 vaccine, recently registered in South Africa. METHODS:In a blinded randomized controlled field trial, 404 animals (85 cattle, 168 sheep, and 151 goats) in three farms in Kenya were divided into three groups. Group A included males and non-pregnant females that were randomized and assigned to two groups; one vaccinated with RVF Clone 13 and the other given placebo. Groups B included animals in 1st half of pregnancy, and group C animals in 2nd half of pregnancy, which were also randomized and either vaccinated and given placebo. Animals were monitored for one year and virus antibodies titers assessed on days 14, 28, 56, 183 and 365. RESULTS:In vaccinated goats (N = 72), 72% developed anti-RVF virus IgM antibodies and 97% neutralizing IgG antibodies. In vaccinated sheep (N = 77), 84% developed IgM and 91% neutralizing IgG antibodies. Vaccinated cattle (N = 42) did not develop IgM antibodies but 67% developed neutralizing IgG antibodies. At day 14 post-vaccination, the odds of being seropositive for IgG in the vaccine group was 3.6 (95% CI, 1.5 - 9.2) in cattle, 90.0 (95% CI, 25.1 - 579.2) in goats, and 40.0 (95% CI, 16.5 - 110.5) in sheep. Abortion was observed in one vaccinated goat but histopathologic analysis did not indicate RVF virus infection. There was no evidence of teratogenicity in vaccinated or placebo animals. CONCLUSIONS:The results suggest RVF Clone 13 vaccine is safe to use and has high (>90%) immunogenicity in sheep and goats but moderate (> 65%) immunogenicity in cattle

Governing multisectoral action for health in low- and middle-income countries

Kumanan Rasanathan and colleagues argue that the potential of multisectoral collaboration for improving health remains untapped in many low- and middle-income countries

Lessons from the 2006-2007 Rift Valley fever outbreak in East Africa: implications for prevention of emerging infectious diseases

No abstract availabl

Perceived risk factors and risk pathways of Rift Valley fever in cattle in Ijara district, Kenya

Ijara district in Kenya was one of the hotspots of Rift Valley fever (RVF) during the 2006/2007 outbreak, which led to human and animal deaths causing major economic losses. The main constraint for the control and prevention of RVF is inadequate knowledge of the risk factors for its occurrence and maintenance. This study was aimed at understanding the perceived risk factors and risk pathways of RVF in cattle in Ijara to enable the development of improved community-based disease surveillance, prediction, control and prevention. A cross-sectional study was carried out from September 2012 to June 2013. Thirty-one key informant interviews were conducted with relevant stakeholders to determine the local pastoralists’ understanding of risk factors and risk pathways of RVF in cattle in Ijara district. All the key informants perceived the presence of high numbers of mosquitoes and large numbers of cattle to be the most important risk factors contributing to the occurrence of RVF in cattle in Ijara. Key informants classified high rainfall as the most important (12/31) to an important (19/31) risk factor. The main risk pathways were infected mosquitoes that bite cattle whilst grazing and at watering points as well as close contact between domestic animals and wildlife. The likelihood of contamination of the environment as a result of poor handling of carcasses and aborted foetuses during RVF outbreaks was not considered an important pathway. There is therefore a need to conduct regular participatory community awareness sessions on handling of animal carcasses in terms of preparedness, prevention and control of any possible RVF epizootics. Additionally, monitoring of environmental conditions to detect enhanced rainfall and flooding should be prioritised for preparedness

Predictive Factors and Risk Mapping for Rift Valley Fever Epidemics in Kenya

BACKGROUND:To-date, Rift Valley fever (RVF) outbreaks have occurred in 38 of the 69 administrative districts in Kenya. Using surveillance records collected between 1951 and 2007, we determined the risk of exposure and outcome of an RVF outbreak, examined the ecological and climatic factors associated with the outbreaks, and used these data to develop an RVF risk map for Kenya. METHODS:Exposure to RVF was evaluated as the proportion of the total outbreak years that each district was involved in prior epizootics, whereas risk of outcome was assessed as severity of observed disease in humans and animals for each district. A probability-impact weighted score (1 to 9) of the combined exposure and outcome risks was used to classify a district as high (score ≥ 5) or medium (score ≥2 - <5) risk, a classification that was subsequently subjected to expert group analysis for final risk level determination at the division levels (total = 391 divisions). Divisions that never reported RVF disease (score < 2) were classified as low risk. Using data from the 2006/07 RVF outbreak, the predictive risk factors for an RVF outbreak were identified. The predictive probabilities from the model were further used to develop an RVF risk map for Kenya. RESULTS:The final output was a RVF risk map that classified 101 of 391 divisions (26%) located in 21 districts as high risk, and 100 of 391 divisions (26%) located in 35 districts as medium risk and 190 divisions (48%) as low risk, including all 97 divisions in Nyanza and Western provinces. The risk of RVF was positively associated with Normalized Difference Vegetation Index (NDVI), low altitude below 1000m and high precipitation in areas with solonertz, luvisols and vertisols soil types (p <0.05). CONCLUSION:RVF risk map serves as an important tool for developing and deploying prevention and control measures against the disease

Rift Valley Fever risk map for Kenya, 2012 based on the semi-quantitative risk assessment for likelihood of RVF epizootic and expert opinion.

<p>Rift Valley Fever risk map for Kenya, 2012 based on the semi-quantitative risk assessment for likelihood of RVF epizootic and expert opinion.</p