INTRODUCTION
In Africa, arid and semi-arid ecosystems are perceived as having little agricultural value. These areas consequently have been largely neglected in major development initiatives implemented by remote political powers based in resource-rich areas. In parallel, the emergence of conservation ideology during the 20th century led to the conversion of large portions of these lands, mostly in the savannah biome, into protected areas. They were chosen mainly because resource-rich ecosystems were already being exploited for agriculture and were unsuitable for conservation. For diverse political and historical reasons, some human communities continue to live in these less productive arid and semi-arid ecosystems. As a result, people and protected areas today share resource-poor landscapes which often are close to international borders and on the periphery of richer national centres [Reference Dzingirai and Andersson1, Reference Andersson, Cumming and Andersson2].
The recent development of transfrontier conservation areas (TFCAs) in southern Africa has shifted attention towards these resource-poor areas with the objective of integrating conservation and development in these marginalized areas [Reference Cumming3–Reference Andersson and Andersson6]. These initiatives are expected to increase the land devoted to wildlife activities, a viable land-use option for these arid ecosystems, and will facilitate the movement and mingling of wildlife populations living in protected areas separated by national borders. However, the increased mobility of wildlife also increases the potential for conflict where there are interfaces between wildlife and human populations [Reference Andersson and Andersson6].
Diseases shared by wildlife and domestic animals are an important cause of concern for farmers, veterinary services and conservationists [Reference Cleaveland, Laurenson and Taylor7, Reference de Garine-Wichatitksy8]. Human populations living on the periphery of protected areas in southern Africa often rely heavily on livestock production to ensure their livelihoods [Reference Cumming9]. In semi-arid and arid areas, where crop failure is common due to erratic rainfall [Reference Baudron10], livestock production assumes an even more important role. However, diseases maintained or transmitted by wildlife can cause mortality and morbidity of livestock, decreasing livestock production [Reference Bedelian, Nkedianye and Herrero11, Reference Rouquet12]. Conversely, wildlife species can be affected by diseases infecting domestic animals, which often are imported and therefore are alien species within the ecosystem [Reference Cleaveland13, Reference Kock14]. In the case of zoonoses, the health of rural communities with difficult access to health services can suffer from the spillover of pathogens from animals. When wildlife and domestic populations interact, opportunities therefore exist for pathogens to emerge in either direction [Reference Artois15].
Patterns of ecological interaction between species (e.g. direct or indirect contacts) depend on host behaviour, which is driven by environmental and biotic factors. Land-use types (e.g. protected areas, communal land) can influence interactions between species, and veterinary and conservation fences, human activities, roads and rivers can inhibit or facilitate wild and domestic movements and contacts [Reference Naidoo16]. Therefore, different wildlife/livestock interfaces, ranging from physical separations (i.e. fences) to open boundaries where animals can roam freely, influence wild and domestic interactions and the level of pathogen transmission between these populations [Reference Kock and Ososfsky17].
The Great Limpopo Transfrontier Conservation Area (GLTFCA) was created in 2002 to co-manage as one ecological unit several national parks, communal land, and private land located in Mozambique, South Africa and Zimbabwe [Reference Cumming9]. In Zimbabwe, Gonarezhou National Park (GNP), a semi-arid ecosystem, and the communal land on its periphery are part of the GLTFCA. Human/wildlife conflicts existed prior to the creation of the GLTFCA [Reference de Garine-Wichatitksy and Andersson18] but the creation of the GLTFCA is expected to result in increased wildlife densities and, consequently, more frequent wildlife/livestock/human interactions. Baseline data regarding these expected ecological and socioeconomic changes are required for the development of the most appropriate management options. For example, veterinary services need to decide how best to manage animal diseases/infections at wildlife/livestock interfaces by choosing from several management options (e.g. fence, buffer zone, no fence) [Reference Ferguson and Hanks19, Reference Sutmoller20].
The aim of this study was to explore the infection burden in cattle populations living at different wildlife/livestock interfaces within the GLTFCA. Sympatric cattle (Bos taurus/Bos indicus) and African buffalo (Syncerus caffer) populations were tested for six important livestock diseases/infections of animal and public health and/or economic relevance in southern Africa (Table 1): bovine tuberculosis (bTB), foot-and-mouth disease (FMD), brucellosis (contagious abortion or brucellosis induced by Brucella abortus), Rift Valley fever (RVF), theileriosis, and lumpy skin disease (LSD) [Reference Coetzer and Tustin21]. The Theileria species tested for in this instance was Theileria parva as this species is known to be hosted in buffalo and to cause corridor disease in cattle in the region [Reference Sibeko22]. Three other cattle populations living at different wildlife/livestock interfaces (n = 2) and at no interface (n = 1) with wildlife were also tested for evidence of the presence of pathogens (no wild species were sampled in these three sites). These different types of wildlife/livestock interfaces corresponded to sites with: (1) no wild ungulates, resulting in no direct interaction between wild and domestic ungulates, referred to hereafter as ‘no interface’; (2) a well-maintained fence at the interface preventing direct contact between buffalo and cattle, referred to hereafter as ‘fenced interface’; and (3) no fence or a damaged fence, resulting in potential high permeability of the interface, hereafter referred to as ‘unfenced interface’. The point prevalences of the selected infections in the various host populations were measured and their implications were discussed in relation to their modes of transmission and control options.
Table 1. Selected pathogens and associated diseases in this study: susceptible hosts, reservoirs and impact
METHODS
Study area
The South East Lowveld (SEL) of Zimbabwe is characterized by low elevations, high temperatures, and low and erratic rainfall (on average <600 mm per year) [Reference Gandiwa and Zisadza23], but also by patches of fertile, irrigable soil [Reference Scoones24]. The region is comprised of a mosaic of land tenures including communal lands, re-settled small-scale agricultural plots, commercial agriculture, large-scale privately owned wildlife conservancies, and state-owned protected areas (Fig. 1) [Reference Cumming and Ososfsky25, Reference Clegg26].
Fig. 1. Study sites and different wildlife/livestock interfaces. The map (top left) presents the south-eastern part of southern Africa encompassing Mozambique, South Africa and Zimbabwe. The Great Limpopo Transfrontier Conservation Area (GLTFCA) is represented by an ellipse and a square indicates the zoom for the rest of the Figure. On the main map, the grey area represents protected areas, N.P. indicates National Parks, Malilangwe is a conservancy and Malipati S.A. refers to the Malipati Safari Area, a hunting concession. The single line represents international borders. Each village representing a sampling unit in the study is indicated by a black dot and the circle linked to this dot refers to the type of wildlife/livestock interface: light grey represents livestock and dark grey represents wildlife; the double vertical line separating the circle indicates a fenced interface and a difference in level of shading represents an interface with no fence.
Study sites and interface types
Unfenced interface
Malipati village (22° 04′ S, 31° 25′ E) is located at the southern border of GNP on Sengwe communal land [Reference Gomo27]. The park boundary lies a few hundred metres from the village. A veterinary fence was erected in 1985 along the park border to prohibit cattle/buffalo contacts, mainly to prevent the transmission of FMD. However, the fence is mostly ineffective at present because it has been damaged extensively by wildlife and people (illegally entering the park or using the wire to make poaching devices; A. Caron, personal communication).
Pesvi village (22° 20′ S, 31° 12′ E) is located on the northern shore of the Limpopo River, which separates South Africa and Zimbabwe. With the exception of seasonal flooding of the Limpopo, which hinders large ungulates from crossing the international boundary for a few months every year, there is no physical barrier between Pesvi and Kruger National Park (KNP) lying on the other side of the river in South Africa.
At these two unfenced interfaces, road counts of wild and domestic ungulates at various seasons indicate that wild ungulates are present. Buffalo density in the northern part of KNP is higher than in the GNP (1·4 vs. 0·5 buffalo per km2) [Reference Dunham28, Reference Rodwell29]. In informal interviews, Pesvi farmers indicated that buffalo were regularly seen crossing from KNP into Zimbabwe. Range overlap is possible in the area around Pesvi when buffalo cross the Limpopo River from KNP, and in Malipati when buffalo cross the Mwenezi River from GNP to reach the communal land or when cattle cross the river to enter the parks. According to local farmers, the intensity of wildlife/livestock interaction at the Pesvi interface is higher than at the Malipati interface. Therefore, wildlife and domestic ungulates are sympatric and potentially in contact in these two sites.
Fenced interface
Chizvirizvi village (20° 59′ S, 32° 01′ E) is located on the periphery of the Malilangwe conservancy, 405 km2 of private land dedicated to wildlife tourism lying next to the northern boundary of GNP that is surrounded by a well-maintained game fence. This fence is regularly maintained by the conservancy staff and can be assumed to be largely ungulate-proof. The conservancy hosts the full range of African wild ungulates occurring in the area. Large ungulates such as buffalo have never been observed outside the fence in the surrounding communal land area (M. de Garine-Wichatitsky, unpublished data). On the other side of the fence, the Chizvirizvi village hosts domestic species. The fence creates a physically defined interface separating buffalo and livestock populations.
No interface
Chikombedzi communal land (21° 40′ S, 31° 19′ E) is located 15 km from the northwestern boundary of GNP. Wild ungulates are absent in the Chikombedzi area and this site was considered to be a control site with no wildlife/livestock interactions [road counts were performed with only one observation of a steenbok (Raphicerus campestris) recorded over a period of several years; M. de Garine-Wichatitsky, unpublished data].
Hereafter, the village name (e.g. Chikombedzi) will refer to the cattle population sampled in that area.
Sampling
The sampling objective was to: (1) collect a snapshot sample of sympatric buffalo and cattle populations; (2) collect samples of cattle populations at the different wildlife/livestock interfaces. Cattle herds can be accessed and counted during routine dipping events at each location, which are performed by governmental veterinary services on a regular basis (every month or at higher rates during the rainy season). In 2008, the number of cattle head per village (diptank counts) varied between 1283 and 1875 (Malipati, n = 1366; Pesvi, n = 1875; Chizvirizvi, n = 1444; Chikombedzi (two diptanks), n = 1406 and 1283), and the number of cattle head per owner was consistent across diptanks, with around 12 head per farmer (no details at the diptank level) (Chiredzi Governmental Veterinary Services, personal communication). Herd structure was consistent across diptanks, with a typical herd consisting of adult females, heifers and young animals kept as social and economic investments, and sometimes a couple of oxen for ploughing.
Snapshot sampling of cattle and buffalo
In October 2008, 120 head of cattle were sampled in Malipati and 38 African buffalo in the adjacent region of the GNP (all sampled individuals were fitted with a unique ear-tag) in collaboration with the local veterinary services and national park staff. Farmers enrolled their herd in the protocol on a voluntary basis. Four buffalo groups were selected by aerial spotting in an area as close as possible to the park border. All individuals in both species were selected randomly except for one adult female per cattle herd and three adult females per buffalo group (to fit radio collars). Cattle were sampled at the diptank as described by Gomo et al. [Reference Gomo27]. Buffalo were captured using a standard immobilization protocol as described previously [Reference de Garine-Wichatitsky30]. In November 2009, 10 buffalo captured during the initial sampling were re-captured and sampled again. The buffalo were immobilized using standard procedures, implemented either from the vantage point of a helicopter or from the ground after being driven into a boma structure [Reference de Garine-Wichatitsky30]. After sample collection, anaesthesia was reversed using a chemical antidote.
Cattle sampling
In the four villages identified, cattle were sampled as described above in collaboration with the district veterinary services. Initial sampling started in August–September 2007 (Malipati and Pesvi) and lasted until the first half of 2009. The age structure of the samples can be assumed to be consistent across diptanks as any bias in the selection process would have been consistent across diptanks. Blood samples were collected from cattle following standard procedures.
Sample processing and storage
Probang samples were taken from buffalo according to standard procedures [Reference Van Bekkum31]. For bTB diagnosis, the single comparative intradermal tuberculin skin test (SCITT) using purified protein derivative tuberculin (PPD, Bovituber, Synbiotics Corporation, France) was performed on cattle as described by Lesslie & Herbert [Reference Lesslie and Herbert32]. Three days post-injection, skin fold thicknesses were re-measured using callipers and positivity assessed according to Shirima et al. [Reference Shirima, Kazwala and Kambarage33]. Blood samples were left to clot at room temperature and sera separated. Sera were stored at −4°C in electric fridges in the field and at −20°C during transport to Harare. Part of the sera were then shipped to the Agricultural Research Council, Onderstepoort Veterinary Institute (ARC-OVI) laboratory in South Africa, where serological analyses were performed.
Diagnostic assays
All serological and other diagnostic tests were performed at ARC-OVI except for the brucellosis tests which were run at the Central Veterinary Laboratory in Harare (Table 2). All of these diagnostic tests have been confirmed to be efficient in African buffalo and are commonly used on wildlife in southern Africa [Reference Sibeko22, Reference Davies, Karstad, Nestel and Graham34–Reference Muma39]. The real-time polymerase chain reaction (rPCR) was used to test for T. parva on a random lot of cattle blood samples [Reference Sibeko22]. Interferon-γ assay (IFN-γ) [Reference Grobler40] was performed for buffalo and for two head of cattle that had positive SCITT results. Post-mortem examination and lymph node culture was implemented for two buffalo and two head of cattle. The two buffalo were re-captured from the initial 38 sampled buffalo (see [Reference de Garine-Wichatitsky30] for more details) because of their positivity to the IFN-γ assay. The two head of cattle were positive by SCITT and were selected because of their strong response to this test. FMD virus isolation was attempted on the probang samples.
Table 2. Assays performed
SCITT, Single comparative intradermal tuberculin skin test; VNTR, variable number of tandem repeat; rPCR, real-time polymerase chain reaction.
Statistical analyses
All analyses were performed using R software [41]. Test for equality of proportions with continuity correction (using Pearson's χ2 test statistics) [Reference Newcombe42] was used to compare prevalence except when the size of the sample was small (n < 200), in which case Fisher's test was used [Reference Grobler40].
RESULTS
Bovine TB and theileriosis results are presented aggregated for the 2 years of the study. This decision was taken for two reasons: (1) for Theileria, the sampling strategy resulted in one sampling per diptank within 18 months (September 2007–February 2009); for bTB, multiple samplings per diptank were implemented but with no temporal harmonization across diptanks; (2) the chronicity and slow development of bTB and the long-term survival of Theileria antibodies render an 18-month comparison meaningless in terms of disease dynamics [Reference Uilenberg43]. Rift Valley fever, FMD, and lumpy skin disease results are presented for October 2008.
Bovine TB
In November 2009, 10 of the previously tested buffalo were re-captured and tested again using the IFN-γ assay. One was diagnosed positive for bTB although it was found negative a year earlier. Seven cattle were positive on the SCITT, with none positive in the Chikombedzi area (Table 3). The estimated prevalence for each type of interface were not significantly different pairwise (χ2 = 0·001–0·508, d.f. = 1, P = 0·48–0·98). Four of these positive animals (two in Malipati and two in Pesvi) were tested with IFN-γ assay and found negative. Two SCITT-positive animals were euthanized and necropsies were performed. No necroscopic lesions or histopathological signs compatible with bTB were observed in the organs examined and all cultures were negative. Global bTB prevalence in cattle utilizing the SCITT was 1·17% and was significantly different from 0 (Fisher's test, P = 0·015).
Table 3. Diagnostic assay results for Mycobacterium bovis, foot-and-mouth disease, Brucella abortus, Rift Valley fever, Theileria parva and lumpy skin disease
SCITT, Single comparative intradermal tuberculin skin test; n.a., not available; RBT, Rose Bengal test; IFA, immunofluorescent assay; rPCR, real-time polymerase chain reaction; VNT, virus neutralization test.
In each cell prevalence is given in bold and higher size, immediately following by the number of positive individuals/number of individuals tested and the 95% confidence interval in parentheses.
Bovine tuberculosis SCITT results aggregated across the study period. Foot-and-mouth and Rift Valley fever and lumpy skin disease results are given for the October 2008 sampling. Brucellosis and theileriosis results are given for samples collected between August 2007 and October 2009. Positivity is decided upon consideration of positivity for both Rose Bengal and c-ELISA tests.
* Results presented in [Reference Gomo27].
FMD
FMD antibodies were detected in all of the cattle and buffalo populations (Table 3). Seropositivity for all three South African Territories (SAT) types 1, 2 and 3 was detected. Prevalence in buffalo was significantly higher than in the cattle population from Malipati and the other areas (Fisher's test, P < 0·001 for all three tests). No significant difference was detected between cattle populations (Fisher's test, P = 0·36–0·78). In cattle, buffalo, and a combination of cattle and buffalo data, no significant difference was detected between prevalence of the different topotypes in cattle (χ2 = 1·05, 2·29, 0·06, d.f. = 1, P = 0·31, 0·13, 0·80), buffalo (Fisher's test, P = 0·74, 0·72, 0·96) and a combined cattle and buffalo sample (χ2 = 1·94, 3, 0·05, d.f. = 1, P = 0·16, 0·08, 0·83) (all topotype combinations tested). None of the cultures resulted in virus isolation.
Brucellosis
Results for brucellosis in cattle have already been presented [Reference Gomo27, Reference Gomo44]. No positive case was detected in the 38 buffalo sampled in 2008 and the 10 re-captured buffalo in 2009. No significant difference in brucellosis prevalence was detected between buffalo and cattle in Malipati, due mainly to the small buffalo sample size (Fisher's test, P = 0·06). A significant difference was detected when comparing all sampled cattle vs. buffalo (Fisher's test, P = 0·03). Brucellosis prevalence in cattle in Chizvirizvi was null and significantly different from that in Chikombedzi, Pesvi and Malipati, respectively (χ2 = 4·86, 8·23, 4·56, d.f. = 1, P = 0·03, 0·004, 0·03). Finally, the prevalence in Pesvi was significantly higher than in Malipati (χ2 = 7·41, d.f. = 1, P = 0·006).
RVF
RVF antibodies were detected in both buffalo and cattle populations (Table 3). No difference was detected in prevalence for RVF between cattle and buffalo, and between cattle populations (Fisher's test, P = 0·14–1 between cattle and buffalo; Fisher's test, P = 0·19 and 0·21 for no fence and fenced interfaces).
Theileriosis (T. parva)
Theileria antibodies were detected in the unfenced cattle population and in the buffalo population. Only one buffalo was positive by immunofluorescent assay (IFA). However, 15/17 rPCR tests for buffalo were positive. Cattle in Pesvi had a significantly higher prevalence compared to all of the other cattle populations (Fisher's test, P < 0·001 except for Malipati, P = 0·002). No antibody was detected in the fenced and no interface areas.
LSD
Antibodies to LSD were detected in all of the cattle populations tested, but not in the buffalo population (Table 3). No significant differences were observed between the different cattle populations (Fisher's test, P = 0·75, 0·87, 1) for pairs of cattle populations.
Synthesis of results
We provide a qualitative summary of the main results in Table 4 for cattle and buffalo populations according to the type of interface.
Table 4. Qualitative summary of disease detection results of cattle populations living at various wildlife/livestock interfaces and the buffalo population sampled
n.d., Not done.
0 = No detection; + = >0% to <20%; ++ = >20% to <40%; +++ = >40%.
DISCUSSION
In this paper, we report evidence of infection by important pathogens in sympatric wild and domestic ungulate populations. Infection does not result systematically in disease (e.g. an infected reservoir host does not develop disease), but it is evidence of the transmission of a pathogen to a host. The pathogens investigated cause bTB, FMD, brucellosis, RVF, theileriosis and LSD. In Africa, brucellosis, cattle theileriosis caused by T. parva, and LSD can decrease local livestock production [Reference Muma45, Reference Latif46], FMD constrains international trade [Reference Bruckner47], bTB, RVF and brucellosis can impact human health [Reference Marcotty48, Reference Archer49] and bTB can be detrimental to wildlife health [Reference Caron, Cross and du Toit50].
The results presented here do not offer proof of inter-species pathogen transmission. They provide a first screening of important infections in cattle populations at different wildlife/livestock interfaces that requires further investigation to understand the pathogen dynamics at play in these multi-host systems. The current knowledge about disease transmission at wildlife/livestock interfaces is still scarce. The definite proof of pathogen transmission in situ at these interfaces is technologically difficult and would require an integrated molecular, epidemiological and ecological approach. For example, molecular studies have demonstrated that bTB in KNP buffalo has originated in cattle populations [Reference Renwick, White and Bengis51] but so far proof of transmission from buffalo to cattle has never been demonstrated. In this study, at unfenced interfaces, cattle populations share more space and potential contacts with wildlife than with other cattle populations in other villages [Reference Murwira and Andersson52]. At the time of the study, limited market opportunities due to national economic instability and minimal transport facilities on tough dirt roads significantly curbed cattle exchanges between villages, even when the distance between villages was only a few dozen kilometres [Reference Giller and Andersson53]. The cattle populations in each village thus could be considered to be epidemiological units that are more or less exposed to wildlife and loosely connected to other cattle populations from distant villages. The results presented here (Table 4) therefore serve to provide animal and public health stakeholders with infection occurrence, and a preliminary indication of the infections that could spread at different wildlife/livestock interfaces.
In southern Africa, the African buffalo is a reservoir for bTB, FMD and cattle theileriosis [Reference Bengis, Kock and Fisher54]. In GNP, no disease monitoring has been carried out since the late 1990s. The current results confirm the potential role of this large ungulate species in the epidemiology of bTB, FMD and theileriosis (Tables 3, 4). Veterinary management in southern Africa often aims to separate cattle from buffalo populations. FMD management has resulted in the erection of thousands of kilometres of fences in the region [55]. The presence of antibodies in the cattle populations tested, in the absence of recent vaccination against FMD (Governmental Veterinary Services, personal communication), indicates a recent circulation of FMD virus in cattle (no information on the topotypes circulating could be inferred from serological results). The veterinary fence around GNP was largely destroyed during the early 2000s. FMD outbreaks in cattle populations of the SEL of Zimbabwe have been recorded (Governmental Veterinary Services, personal communication). This FMD circulation occurred in all of the cattle populations tested in this study. These results agree with external observations that FMD has been circulating in this district since the beginning of the 21st century, and support the hypothesis that the buffalo population in GNP acts as a reservoir for FMD in cattle populations. According to this scenario, FMD epidemics started by primary outbreaks at the buffalo/cattle interface spread locally with cattle-to-cattle transmission, which would explain why cattle populations far from the wildlife/livestock interface also test seropositive. Ongoing surveillance will investigate if cattle populations at the interface are more at risk of FMD than populations that are not exposed to buffalo populations.
De Garine-Wichatitsky et al. [Reference de Garine-Wichatitsky30] described the emergence of bTB in buffalo in GNP from a strain originating from KNP. In 2009, ten buffalo which had tested negative during the initial sampling in 2008 were re-sampled and one tested positive by IFN-γ test, indicating the spread of the disease. Bovine TB prevalence in buffalo in southern KNP, initially introduced by cattle, has reached 35–40% [Reference Rodwell29] and seems to have stabilized. It therefore is likely that bTB prevalence in buffalo in GNP will increase in coming years. Even if SCITT prevalence was significantly different from zero when all cattle samples were combined, no SCITT-positive cattle were confirmed positive by the IFN-γ test at post-mortem examinations and with lymph node cultures (the ‘gold standard’ for bTB) [Reference Tschopp56]. Therefore, the presence of bTB could not be confirmed in the cattle population sampled in our study. This absence of confirmation of bTB in cattle supports the hypothesis that bTB has been introduced only recently into the buffalo population and identifies a risk of emergence of bTB in cattle in this area (according to OIE, Zimbabwe has been considered free from bTB in cattle since 1996). Although eradication of bTB is unlikely when a wild maintenance reservoir host is infected [Reference De Lisle57, Reference Michel58], a mitigation strategy should be developed and implemented to reduce the likelihood and impacts of bTB spreading to other wildlife reservoirs in GNP, cattle populations and eventually humans in and around the park.
Cattle theileriosis can cause severe mortality in cattle [Reference Uilenberg43]. The low prevalence in buffalo detected with the IFA contrasts with the high prevalence detected with the rPCR technique. We assume that a problem occurred during the running of the IFA for buffalo as the prevalence of buffalo for theileriosis is usually similar to the one found by rPCR [Reference Sibeko22]. Cattle-to-cattle transmission is supposed to be rare. The absence of T. parva antibodies in cattle populations with no wildlife interface (Chikombedzi) or with an intact and large ungulate-proof fence at the wildlife/livestock interface (Chizvirizvi), coupled with their detection in cattle in Malipati and Pesvi, strongly suggests that the origin of the Theileria infection in cattle is from buffalo. The direct transmission of T. parva from buffalo to cattle is associated with the buffalo-derived theileriosis commonly referred to as corridor disease. This disease usually causes severe mortality in cattle [Reference Uilenberg43, Reference Latif59]. Only a few corridor-disease outbreaks in cattle were reported in this region prior to and during the study. To our knowledge, one outbreak of theileriosis mortality was reported in Malipati during the wet season of 2008–2009 with <10 cattle reported dead (Governmental Veterinary Services, personal communication). These results suggest that contrary to common belief [Reference Sibeko22], cattle populations living in close and constant contact with buffalo may support T. parva infection without high mortality.
Brucellosis (B. abortus) was not detected in the 38 buffalo tested in 2008 or in the 10 re-captured buffalo in 2009, which contrasts with previous studies in other areas of Zimbabwe and southern Africa [Reference Madsen and Anderson60, Reference Chaparro61]. However, brucellosis was detected in all cattle populations except at the fenced interface [Reference Gomo27, Reference Gomo44]. The absence of brucellosis in buffalo is counter-intuitive and could be explained by: (1) some cattle-herding strategies such as cattle kraaling at night which could reduce the potential for buffalo getting infected from abortion products left in the environment by cattle; (2) a possible isolation of the buffalo population in GNP from other infected buffalo populations such as the KNP buffalo population, more than 40 km away on the other side of the Sengwe communal land; however, this hypothesis seems to contradict the hypothesis of a spread of bTB from KNP to GNP across the Limpopo River; (3) a small buffalo sample size that would fail to detect a low prevalence in buffalo.
The role of wildlife in the epidemiology of RVF and LSD is unclear [Reference Hedger and Hamblin35, Reference Bengis, Kock and Fisher54]. Antibodies in African buffalo for both diseases have been found during previous studies [Reference Davies, Karstad, Nestel and Graham34, Reference Davies62]. However, as both RVF and LSD are mainly vector-borne diseases, the epidemiology is also dependent on the population dynamics of the mosquito vectors [Reference Chihota63]. The RVF prevalence observed in the absence of outbreaks suggests an inter-epizootic maintenance of the disease, possibly by trans-ovarian transmission of the virus in mosquitoes [Reference Rostal64], with involvement of wildlife reservoirs, as buffalo tested positive. For LSD, no antibodies were detected in the buffalo population. High prevalence was observed in all cattle populations (Table 3), which correlates with observed LSD symptoms detected in cattle populations in 2007 (A. Caron, personal communication). These results suggest (but do not demonstrate) that the risk of disease spread from one side of the interface to the other varies among pathogens. Other factors could explain the differences observed such as cattle-to-cattle transmission between villages. However, the present study confirms that the buffalo population could represent a risk of cattle infection by bTB, FMD, theileriosis, as suggested by the literature. On the other hand, cattle could represent a risk for buffalo for brucellosis and hypothetically RVF and LSD (Table 4) if the results of this study are confirmed.
This heterogeneity of the sanitary risk across the interface can be explained by the different modes of transmission of pathogens considered. Bovine TB can be transmitted by direct or indirect contact between hosts [Reference Tanner and Michel65]. The use of common water-holes or grazing areas by buffalo and cattle at unfenced interfaces could result in inter-species transmission of the disease. Cattle owners in Pesvi reported seeing their cattle grazing with buffalo, indicating that direct inter-species contacts are possible at unfenced interfaces. In southern Africa, FMD is transmitted exclusively by direct contact, the hot environment precluding the long distance transmission that can take place in Europe [Reference Thomson, Vosloo and Bastos66]. Direct contacts between buffalo and cattle were only possible at the two unfenced interfaces. Fences limit the spread of FMD viruses from buffalo to cattle by constraining host mobility, although other wild ungulate species have been involved in FMD transmission [Reference Hargreaves67]. Inter-specific transmission of brucellosis requires close contact between a naive individual and abortion products within a few hours after the latter are dropped on the ground [Reference Gomo27]. The use of a shared habitat may result in brucellosis transmission [Reference Nishi, Stephen and Elkin68]. However, cattle herding and management strategies (e.g. cattle kraaled at night) may result in different temporal patterns of habitat use and thus asymmetric risks of brucellosis transmission. The different modes of transmission between bTB and brucellosis and the type of buffalo/buffalo interaction between GNP and KNP could explain the different patterns of occurrence observed for both infections across the interface. This hypothesis could conciliate apparently contradictory transmission hypotheses previously presented for bTB and brucellosis. Theileriosis, RVF and LSD are all vector-borne diseases, the former is transmitted by ticks and the latter two by mosquitoes. Vectors are restricted to specific habitats and have limited movement capacities compared to their hosts. However, as long as vectors and wild and domestic hosts share common habitats, even at different times, the transmission of vector-borne diseases may occur. A fence will not limit the transmission of mosquito-borne diseases at the wildlife/livestock interface as mosquitoes can fly towards animals across the barrier. Therefore, management of these vector-borne diseases should concentrate on vector control or immunization of livestock. However, a fence could limit the spread of some ticks quite effectively, particularly those that feed on large ungulates, as ticks rely on animals to move them from one place to another. The vectors of buffalo-derived T. parva infection, Rhipicephalus appendiculatus and Rhipicephalus zambeziensis, are monotropic ticks which feed mainly on large domestic (cattle) and wild ungulates. Large ungulates can neither go through an intact game fence nor jump over it (with some exceptions, see [Reference Hargreaves67]). It therefore is possible to control cattle theileriosis using game fences. The intact game fences in the Chizviridzi area can account for the absence of detection of T. parva.
Proper analytical approaches should be developed to study wild and domestic host interactions, controlling for external factors such as cattle-to-cattle transmission, to understand and control pathogen transmission in these multi-host systems. The development of methodologies using telemetry, molecular epidemiology and community ecology should promote relevant tools to study the ecology of disease transmission in multi-host systems [Reference Caron, Morand, Garine-Wichatitsky, Morand, Beaudeau and Cabaret69]. Disease control measures such as fences, vaccination, and vector control, and the target of these measures in TFCAs need to be carefully considered [Reference Bengis, Kock and Fisher54]. First, control measures targeting livestock appear to be the least invasive for natural systems (even if acaricide control on cattle can shift tick host preferences [Reference de Meeus70]). Second, the difficulty of applying control measures in wildlife and a lack of experience of interventions in wildlife render the outcomes of such control measures uncertain. Third, environmental control measures, such as fencing, can compromise conservation objectives such as increasing connectivity between protected areas. These considerations imply that disease management decisions need to be debated within a framework that extends beyond a veterinary or economic perspective.
In conclusion, these results as presented in this paper on buffalo/cattle infection burden in a southern African TFCA are a valuable contribution to inferring that the type of wildlife/livestock interface can influence the diversity of pathogens and the intensity of their transmission between wild and domestic ungulate populations. However, more work is required before this conclusion can be drawn. Livestock keeping is critical for small-scale farmers living in TFCAs in southern Africa, not only from a socioeconomic point of view but also from a public health perspective. In these communities, HIV prevalence is high and consequences of the immunosupression of human populations, such as a higher susceptibility to zoonoses, are to be expected [Reference Giller and Andersson53, Reference Lloyd-Smith, Poss and Grenfell71]. In addition, poor and/or difficult access to health facilities increases the impact of diseases in human populations. The presence of RVF and brucellosis in cattle and the risk of spillover of bTB to cattle from buffalo increase the risk of transmission to humans. Integrating animal and public health surveillance and control in these ecosystems could maximize the small funds and means devoted to these activities in these remote areas [Reference Osofsky, Cumming, Kock and Fearn4]. Tackling the disease issue at the wildlife/livestock/human interface will be a key aspect for the success of TFCAs in southern Africa.
ACKNOWLEDGEMENTS
This work has been possible thanks to a harmonious collaboration between research (University of Zimbabwe and Cirad) and technical institutions, particularly the Governmental Veterinary Services and the Park and Wildlife Management Authority of Zimbabwe which approved the publication of this paper. The Veterinary Services of Kruger National Park in South Africa assisted in the recapture of buffalo for bTB testing. This work was conducted within the framework of the Research Platform ‘Production and Conservation in Partnership’ (RP-PCP) and the Animal and Human Health Environment and Development initiative (AHEAD). The project was funded by the European PARSEL project (No. Food 2007 137-950) and by the Ministère Français des Affaires Etrangères through the French Embassy in Zimbabwe (RP-PCP grants 2008 and 2009).
DECLARATION OF INTEREST
None.
