Prevalence ranged from 7.8% to 22.1%, depending on region.
In Senegal, during 2002–2007, 11 outbreaks of African swine fever (ASF) were reported to the World Organisation for Animal Health. Despite this, little was known of the epidemiology of ASF in the country. To determine the prevalence of ASF in Senegal in 2006, we tested serum specimens collected from a sample of pigs in the 3 main pig-farming regions for antibodies to ASF virus using an ELISA. Of 747 serum samples examined, 126 were positive for ASF, suggesting a prevalence of 16.9%. The estimated prevalences within each of the regions (Fatick, Kolda, and Ziguinchor) were 13.3%, 7.8%, and 22.1%, respectively, with statistical evidence to suggest that the prevalence in Ziguinchor was higher than in Fatick or Kolda. This regional difference is considered in relation to different farming systems and illegal trade with neighboring countries where the infection is endemic.
African swine fever (ASF) is a disease caused by a DNA virus in the family
ASF is currently considered enzootic in eastern and southern Africa, and the epidemiologic cycles of importance in many of the countries in these regions are well understood (
The suggestion has been made that in Senegal a domestic cycle of infection involving ticks may be possible because of the enzootic nature of disease in the country and the identification of infected soft ticks in some pig pens (
Because of religious dietary restrictions, pigs within Senegal are principally clustered within regions containing the majority of the non-Muslim population, such as the population of the Casamance (the Ziguinchor and Kolda regions), and in areas where tourism has increased the demand for pork, such as Sine Saloum (the Fatick region). Although ASF has been identified as one of the 6 major diseases in need of epidemiologic surveillance in Senegal, few structured surveys have been conducted (
The sampling protocol adopted in this study was based on the information obtained during a survey of pig production systems in Senegal (
Sampled villages (black dots) in the 3 main regions of Senegal for pig production, Fatick, Ziguinchor, and Kolda (gray shading). Dashed lines indicate the 700 mm (gray) and 800 mm (black) rainfall isohyets for 2006. The southern limit range of
Free-range farming has been identified previously as the most widespread pig farming system in Senegal, with a recent study estimating that 76% (95% confidence interval 72%–80%) of all farms in the country were free-range systems (
A multistage sampling approach was adopted: the random selection of villages was followed by the random selection of farms within these villages. To estimate the required sample size, a prevalence of 50% was assumed (to maximize the required sample size), with a required precision of 6% and an α-error of 5%. Villages were considered as clusters of animals, and a decision was made to sample 10 pigs per village, from as many different farms as possible to maximize the representativeness of the sample. The formulas used in determining sample size, while accounting for clustering at the village level, are shown below (
The required sample size was 748, from a total of 75 villages; 756 pigs were actually sampled, from 82 villages and 205 farms (
| Characteristic | Fatick | Kolda | Ziquinchor |
| No. villages | 15 | 24 | 43 |
| No. farms | 72 | 64 | 69 |
| Realized samples | 152 | 286 | 318 |
Sampling was undertaken in May and July 2006, during the dry season. Blood samples were collected from the jugular vein in plain tubes and were centrifuged to obtain serum. Serologic analysis was performed by using an Ingezim PPA Compac 1.1.PPA K3 ELISA kit (Ingenasa, Madrid, Spain), which is a blocking ELISA that uses a purified protein extract from the virus (VP73) as the antigen. According to C. Gallardo (researcher at Centro de Inestigacion en Sanidad Animal, Madrid, Spain; pers. comm.) the sensitivity and specificity of this test were both in the region of 95% to 98%. The apparent prevalence estimates were therefore corrected to give the true prevalence by using the following formula (
To account for clustering within villages and farms when estimating the regional prevalence, a general linear mixed model method was adopted; the ‘lme4’ package within R software was used (
The z test found evidence of clustering of seropositivity within villages and farms (p<0.05). The general linear mixed model method gave seroprevalence estimates of 13.3%, 7.8%, and 22.1% for the regions of Fatick, Kolda, and Ziguinchor, respectively (
| Region | No. pigs sampled | Estimated individual prevalence, % | 95% confidence interval for the apparent prevalence | Uncertainty interval for the true prevalence, % |
|---|---|---|---|---|
| Fatick | 149 | 13.3 | 8.0–21.2 | 3.2–20.6 |
| Kolda | 281 | 7.8 | 4.9–12.2 | 0–11.0 |
| Ziguinchor | 317 | 22.1 | 16.9–28.3 | 12.8–28.3 |
Test sensitivity and specificity were accounted for to estimate the true seroprevalence for each region. We gave the smallest and higher value taking into account the uncertainty around the true value of sensitivity and specificity. Following this process, the seroprevalence estimates for Fatick, Kolda, and Ziguinchor were expanded to range from 8.9% to 12.1%; from 3.0% to 6.2%; and from 18.3% to 21.6%, respectively. 95% confidence intervals for these estimates are shown in
The results of this study are corroborated by unpublished data from the Senegalese Institute of Agricultural Research regarding the prevalence of ASF in the Ziguinchor region (
Haresnape et al. conducted a seroprevalence study for ASF virus in Malawi and also collected information from pig owners about clinical signs and illness duration (
The ASF situation in Mozambique was different from that in Malawi. In a study conducted in 1998, antibodies to ASF virus were detected in healthy pigs in the Angonia district, close to the Malawi border, indicating that these pigs survived an outbreak. However, experiments showed that this resistance was not highly heritable (
The current study has presented the estimated seroprevalence among pigs sampled within 3 regions and has accounted for clustering of seropositive individual pigs within farms and within villages. A more detailed characterization of the seroprevalence pattern could be conducted by estimating the presence of virus at different hierarchical aggregations; that is, the proportion of infected villages, the proportion of infected farms within infected villages, and the proportion of infected animals within infected farms. However, such an analysis, using hierarchical Bayesian modeling, for example, is beyond the scope of the present study (
True seroprevalence estimates were calculated by taking into account the sensitivity and specificity of the ELISA, which were estimated by using serum specimens from European domestic pigs (C. Gallardo, pers. comm.). Considering that ASF viruses currently circulating in West Africa are closely related to those circulating in Europe in the second half of the last century (
Although ASF virus can persist for long periods after infection and even recovery in pigs, seroprevalence estimates for the antibodies against the virus do not estimate the percentage of pigs with current infection, or even the percentage of carrier pigs. Rather, they indicate the percentage of pigs that have been exposed to the virus at some point in their lifetime. Bech-Nielsen et al. reported the detection of ASF virus in only 4.4% of carrier animals (
Considering that only pigs from 6 months to 2 years of age were tested, the pigs that tested positive must have become infected between 2004 and 2006. During this period, 5 outbreaks were declared in Senegal, with 646 cases and 561 deaths (
Furthermore, our results suggest that these pigs survived virus infection, which contrasts with the widespread perception that mortality rates for ASF virus infection are high, approaching 80% (
ASF virus strains of low virulence have been identified in various countries since 1984, and despite low virulence, could still maintain a high infectivity (
Antibody-mediated resistance to ASF virus can be acquired through passive transfer of maternal antibodies or by previous infection with a virus of low pathogenicity or from low doses of highly virulent viruses (
Significant differences in seroprevalence were observed between the 3 regions, with a higher seroprevalence identified in Ziguinchor than in Kolda or Fatick. The Ziguinchor region lies between the Gambia and Guinea-Bissau. ASF has been enzootic within Guinea-Bissau for years, and no efforts to control the disease have been reported (
A study conducted in 1987 and 1988 found no evidence of seropositive animals among the 122 samples in the Fatick region (
Although ASF has been known to be enzootic in the Ziguinchor region for >10 years (
We thank the Direction de l’Élevage, Ministry of Agriculture of Senegal, for facilitating the implementation of the field work; École Inter-États des Sciences et Médecine Vétérinaires and its technical staff; and all the pig breeders involved in the survey. We are very grateful to Alex Mastin for proofreading this article.
This study was funded by the Wellcome Trust Foundation: Project “African swine fever virus: Development of Vaccines and Epidemiological Investigations.”
Dr Etter is a research scientist in the Animal and Integrated Risk Management Unit, French Agricultural Research Centre for International Development, Montpellier, France. His research interests include vector-borne disease and the interface between wildlife, domestic animals, and humans, with additional emphasis on epidemiology, risk analysis, and modeling disease dynamics.