The spatial ecology of free-ranging domestic pigs (Sus scrofa) in western Kenya
© Thomas et al; licensee BioMed Central Ltd. 2013
Received: 25 September 2012
Accepted: 1 March 2013
Published: 7 March 2013
In many parts of the developing world, pigs are kept under low-input systems where they roam freely to scavenge food. These systems allow poor farmers the opportunity to enter into livestock keeping without large capital investments. This, combined with a growing demand for pork, especially in urban areas, has led to an increase in the number of small-holder farmers keeping free range pigs as a commercial enterprise. Despite the benefits which pig production can bring to a household, keeping pigs under a free range system increases the risk of the pig acquiring diseases, either production-limiting or zoonotic in nature. This study used Global Positioning System (GPS) technology to track free range domestic pigs in rural western Kenya, in order to understand their movement patterns and interactions with elements of the peri-domestic environment.
We found that these pigs travel an average of 4,340 m in a 12 hr period and had a mean home range of 10,343 m2 (range 2,937–32,759 m2) within which the core utilisation distribution was found to be 964 m2 (range 246–3,289 m2) with pigs spending on average 47% of their time outside their homestead of origin.
These are the first data available on the home range of domestic pigs kept under a free range system: the data show that pigs in these systems spend much of their time scavenging outside their homesteads, suggesting that these pigs may be exposed to infectious agents over a wide area. Control policies for diseases such as Taenia solium, Trypanosomiasis, Trichinellosis, Toxoplasmosis or African Swine Fever therefore require a community-wide focus and pig farmers require education on the inherent risks of keeping pigs under a free range system. The work presented here will enable future research to incorporate movement data into studies of disease transmission, for example for the understanding of transmission of African Swine Fever between individuals, or in relation to the life-cycle of parasites including Taenia solium.
KeywordsPig GPS Taenia Trichinella African swine fever Toxoplasma Trypanosoma Free range
Throughout the developing world the demand for meat products has been increasing by 4% per annum since the 1980s , and with continuing population growth this trend is unlikely to abate. The need for fast-maturing sources of animal protein, which require low cereal inputs places the non-ruminant animals in prime position for fulfilling this growing demand. To this end pig production is becoming increasingly popular, with pork and poultry contributing 76% of the increased meat consumption in the developing world between 1982–1998 .
Pigs kept under all production systems can be the host of a variety of zoonotic and non-zoonotic pathogens, but allowing pigs to roam freely increases the disease transmission risk to the pig itself, to other wild and domestic animals, and to humans. Some diseases of particular relevance when considering free-roaming pigs are discussed below.
The zoonotic tapeworm, Taenia solium, is one of the leading causes of acquired epilepsy in the developing world . The parasite has a two host life cycle, with humans as the definitive host, who become infected after consumption of viable cysticerci in under-cooked pork. The adult tapeworm inhabits the small intestine, causing an infection known as taeniasis, and gravid proglottids, containing thousands of infective eggs, detach from the adult worm and are excreted in faeces in an intermittent fashion . Ingestion of these eggs, by either pigs or humans, results in the larval stage penetrating the intestinal wall and moving through the lymph and blood vessels to encyst in muscle, eyes or the central nervous system (CNS) as cysticerci .
As contact with infective human faecal material by pigs is a requisite for the successful propagation of the parasite lifecycle, it stands to reason that keeping pigs under a free-ranging system would increase the risk of the pigs acquiring this infection; this has been corroborated in several epidemiological studies [8, 13–15].
Trichinella spp. are tissue dwelling nematodes, which are transmitted to humans by the ingestion of undercooked meat containing infective larvae. The parasite has a wide range of mammalian hosts, but the majority of human infections are acquired through the consumption of pork, with European cases almost exclusively from outdoor or back-yard production systems . Pigs acquire the infection through ingestion of infected wildlife carcasses, kitchen or slaughter waste. The ability of pigs to scavenge such material increases vastly when they are allowed to free range, heightening the relative risk of infection in comparison to confined pigs. The relative risk for Trichinella infection was estimated to increase by a factor of 25–100 times for free range pigs in comparison to pigs kept in indoor units .
Toxoplasma gondii is a zoonotic protozoan parasite with a wide range of intermediate hosts, including pigs and humans, who acquire infection through the ingestion of infective oocysts excreted by cats, tachyzoites in raw milk, or encysted bradyzoites in infected meat . The majority of human infections are thought to come from the ingestion of meat, in particular pork [19, 20]. The risk of infection for a pig is again related to its ability to scavenge in areas contaminated with either cat faecal material containing oocysts, or carcasses containing infective bradyzoites; therefore, it is strongly associated with free-roaming behaviours.
Two studies from the Netherlands have found a significantly higher risk of seropositivity for toxoplasma antibodies in free range pigs than for those on an intensive pig unit [18, 21]. Exposure to infective cat faeces or to infected carcasses in pigs raised outdoors are risks for disease transmission, which are likely to be exacerbated in the free range systems of the developing world.
African swine fever (ASF)
ASF is a hemorrhagic virus of the Asfarviridae family, which has major epizootic potential . This infection is characterised by high mortality in domestic swine. It is transmitted either by direct or in-direct contact between domestic pigs or wild suids with or without an arthropod vector and is maintained by three distinct cycles: 1) a sylvatic cycle between the Argasid tick and warthogs, and possibly bush pigs or giant forest hogs ; 2) a cycle between domestic pigs and the Argasid tick; and 3) a domestic pig cycle not requiring ticks . There is also evidence that recently infected bushpigs and warthogs may be able to directly infect domestic pigs without need for the tick vector . Wild boars have been implicated in virus transmission when they come into contact with infected free range domestic pigs, as was thought to be involved with the 2007 spread of ASF through Georgia . Domestic pigs kept under free range systems are therefore at higher risk of contracting and transmitting ASF through contact with infected tick vectors or infected wild and domestic suids. Our study site in western Kenya has seen several ASF outbreaks over the last few years, most recently in 2011 .
Trypanosoma spp., transmitted by the tsetse fly (Glossina spp.), cause a reduction in productivity in pigs and pose a high risk to human health, with T. brucei gambiense and T. brucei rhodesiense causing Human African Trypanosomiasis (HAT). The pig is a significant source of blood meals for the tsetse fly [27, 28] and has been implicated in the epidemiology of both human and animal trypanosomiasis, with outdoor, free-roaming pigs being at particular risk of contact with tsetse flies. In particular, pigs have been identified as a significant reservoir of T.b. rhodesiense in our study site .
Helminths, such as Ascaris suum and Trichuris suis, are responsible for substantial economic losses for pig producers throughout the world, through reduced weight gain, higher feed:gain ratio, condemnation of carcasses or organs and expenditure on prophylaxis or treatment . Ascaris suum and Trichuris suis both require temperatures over 15°C for embryonation and larval development, and the prevalence of these parasites have been found to be higher in outdoor pig units than intensive, indoor units . In a previous survey of free range pigs in the current study area pigs have been found to carry a substantial parasite burden, with an overall nematode prevalence of 84.2% and mean egg per gram (EPG) of 2,355 , which is likely leading to detrimental economic burden for their (often already poor) keepers.
To gain an understanding of the dynamics of disease within populations of free range pigs, the ecology of these animals must first be established. The behaviour of the domestic pig has been studied extensively within the context of intensive farming methods or through experiments to understand their social dynamics or learning ability [33, 34]. Knowledge of domestic pig behaviour under free range conditions, specifically the size of the ‘home ranges’ and habitat preferences is, however, very limited with only one published paper from Mexico specifically looking to understand pig ecology under these systems  . The authors of this paper identified some interesting aspects of free-ranging pig behaviour, specifically in relation to coprophagia. What was lacking, however, was the quantification of ‘home range’ size and of habitat preferences of the pigs within this free range system, important elements of an understanding of the disease risks to which free range pigs are exposed.
The home range of an animal is “…that area traversed by the individual in its normal activities of food gathering, mating, and caring for young. Occasional sallies outside the area, perhaps exploratory in nature, should not be considered as in part of the home range” . There are many different techniques available for determining the home range of animals and these have been extensively reviewed [37, 38]. We utilise two such methods: minimum convex polygon (MCP) and local convex hull (LoCoH). The MCP is the simplest of the convex hull methods, which represents the smallest polygon with no inside angle greater than 180° that can be drawn to encompass all locations at which the animal was recorded. This is a simple measure to calculate and is used by the International Union for Conservation of Nature as the standard measure of a species home range . The MCP method, however, is very sensitive to outlying points, which may reflect exploratory animal movement or measurement errors, providing an estimate of home range far beyond that utilised in the animal’s normal activities.
The k-1 nearest neighbours local convex hull technique was devised to improve on the MCP: it combines small MCPs which contain k-1 nearest neighbours, until all data points are included . This technique has been shown to perform well to reduce type I (exclusion of utilised areas) and type II (inclusion of un-utilised areas) errors and is particularly useful in locations where geographical features provide hard boundaries to a home range. This method also allows the isopleths containing any percentiles of the data points to be identified, providing us with the ability to determine utilisation distributions for various percentiles of use, for example the 50% isopleth, which corresponds to the ‘core utilisation distribution’ and the 90% isopleth, corresponding to the true ‘home range’ .
There are several studies which investigate the home range of truly ‘wild living pigs’ , these being feral pigs of either domestic, European wild boar or hybrid origin. These studies have found a large variability in the home range (all based upon MCP determination) of these feral swine, from 0.52 km2 to 20.3 km2 for wild caught and released feral pigs. The large variability in roaming behaviours in these studies makes it difficult to extrapolate the findings outside of these particular study environments, potentially due to the impact of environmental features on the home range (e.g. proximity to human habitats, sharp ravines or cliff faces, forest cover, etc.). The environment that wild pig studies have encompassed are mainly forested or conservation areas, where the ability to move freely over large distances is greater and human interference is negligible. An extrapolation to the roaming behaviour of domestically bred and raised, albeit free-roaming, pigs would be highly inadvisable.
Here, we determine the geographical range of free-ranging domestic pigs in western Kenya, how far they travel during a day and night, and with which environmental features they spend time interacting.
Between March 2011 and February 2012, one free range pig was randomly selected from each selected sublocation. The sample frame consisted of all pig keeping households within the sublocation, as provided by the relevant sublocation chief, a random number generator was used to pick the farmer from this list (farmers numbered first to last). On the selected farms pigs were excluded from the study if they were in the last trimester of pregnancy, were currently nursing piglets, were below 2 months of age or were due to be slaughtered in the next week (7 days from the day of selection). If more than one pig remained after exclusion they were allocated a number in age order and a random number generator was used to select the pig to be recruited, this was easy to achieve without any specific identifying procedure as the average pig herd size in the study site is only 2.6 (Unpublished Obs. EMF, LFD, EAC, WAdG). The study was explained to the farmer and their consent obtained before the animal was recruited into the study. The pigs were selected across the course of the year as only one GPS collar was available; the data were therefore obtained across different seasons.
A Garmin eTrex handheld GPS unit was used to obtain the coordinates of the homestead to which the pig belonged. The perimeter of the homestead, being that area utilised by the house for domestic activity (therefore excluding cropped fields), was tracked by walking along the boundary and if there was no discernible boundary the homestead members were asked for their best approximation of where their homestead perimeter lay. Features of the homestead (latrine, human dwelling, cooking point, rubbish disposal) were also mapped. A short questionnaire on pig husbandry was completed with the member of the homestead with the greatest involvement in the management of the pig.
Faecal samples were analysed for intestinal parasites using the McMasters  and Kato-Katz  methods. Thick and thin blood smears were stained with Giemsa and these smears were examined by microscopy for haemoparasites. Serum samples were analysed by HP10 Antigen ELISA  for the presence of viable T. solium infections.
Pig movement data from the GPS server were downloaded as a .csv file into Microsoft Excel and imported into ArcMap 9.1 and projected into UTM WGS 36 N. The LoCoh extension  for ArcGIS  was used to produce a utilization distribution of these data using the k-1 nearest neighbour local convex hull technique with 10 percentile isopleths. The value of K was determined by taking the square root of the number of GPS positions available as suggested by the software developers.
ArcMap 9.1 was then used to select the density isopleths representing both 50% (core utilisation distribution) and 90% (home range) of the points. A minimum convex polygon (MCP) was calculated using the Hawths Tools extension for ArcGIS. The Hawths Tools extension was then used to calculate the area of the layer files created from these selections, to create a track from the GPS movement data and to determine the length of that track.
Homestead points of interest and the perimeter boundary recorded using the handheld unit in the field were also imported into ArcMap 9.1. Individual points for each feature of a homestead and the perimeter boundary of each homestead (habitable area, as determined by the head of the household), were projected into UTM WGS 36 N and combined with the collar data to create informative data layers.
The area of the perimeter boundary polygon was calculated using Hawths Tools. The homestead features and the homestead itself were given a 5 m ‘buffer’ using Hawths Tools, 5 m being chosen to represent the accuracy of the GPS units used. All pig movement data points which fell within these buffer areas were selected and the time spent within the areas were calculated as a percentage of the total number of positions recorded for each pig.
All statistical analysis was performed using the ‘R’ language and environment for statistical computing . The variables of interest were tested for violation of the assumption of normality using the Shapiro-Wilks test of normality, and due to the rejection of the null hypothesis (sample originating from a normally distributed population) for several of the variables it was decided to use non-parametric statistical methods, namely the Kruskal-Wallis rank sum test, Spearman’s Rank Correlation and the Wilcoxon signed rank test.
Ten pigs were selected and tracked during the time of this study, comprising 4 females, 2 male castrates and 4 male intact pigs with an average age of 6.7 months. All 10 pigs were kept under a free range system during the time of study. All pigs were fed supplementary food, being a combination of crop and household waste, with the household waste being fed uncooked to 8 of the 10 pigs.
Summary of parasitic infections in study pigs
Ectoparasite infection (lice and adult ticks in all)
Total parasite spectrum*
% pigs infected
Pig movement data
Ave. daily distance moved (m)
Ave. nightly distance moved (m)
Core utilisation distribution (m2)
Home range (m2)
MCP Area (m2)
Homestead area (m2)
% time spent within homestead perimeter
Pig movement in dry and wet seasons
Daily distance moved (m)
Home range (m2)
Core Utilisation distribution (m2)
‘Wet’ (pigs 3,4,5,6,7)
‘Dry’ (pigs 1,2,8,9,10 )
Kruskal-Wallis rank sum test
H = 0.2727 p = 0.6015
H = 3.153, p = 0.076
H = 0.8836 p = 0.347
Pig movement according to sex
Sex of Pig
Daily distance moved (m)
Home range (m2)
Core utilisation distribution (m2)
Female (n = 4)
Male Castrate (n = 2)
Male Intact (n = 4)
Kruskal-Wallis rank sum test
H = 2.046, p = 0.36
H = 2.3727 p = 0.31
H = 1.146 p = 0.564
Interactions between pigs and homestead features
Homestead area (m2)
% time spent within homestead perimeter
% time spend interacting with latrine
% time spend interacting with rubbish disposal
% time spend interacting with cooking point
% time spend interacting with human dwelling
This is the first study to have investigated the ecology of domestic pigs kept under a free range system, utilising GPS technology. We found that these pigs travel an average of 4,340 m in a 12 hr period and had a mean home range of 10,343 m2, within which the core utilisation distribution was found to be 964 m2. The lack of significant difference (p = 0.824) between day and night time movement indicates that the pigs are benefiting from a foraging strategy which involves both night and day scavenging. Nocturnal behaviour has been observed in wild pigs  who seem to be able to adjust their activity patterns based upon food availability .
Although this study was not designed to investigate population level influences on the movement parameters, it is interesting to note that no influence of season or sex of pig was found on any of the movement parameters. The pigs in this study were not influenced by management imposed restrictions on their movements during certain times of the year as selection criteria for the study animals was that they were kept on a free range basis. Another study in western Kenya that this team has conducted found only a 1.4% change in confinement in pigs between the wet and dry seasons (Unpublished Obs. LFT, EMF, EAC, WAdG).
No influence was found in this small study on parasite burden from movement parameters or interaction with homestead features apart from a positive correlation between Ascaris spp. EPG and the time spent interacting with latrines (Spearmans Rank Correlation rho = 0.81, p = 0.005) and a moderate positive correlation between Coccidia EPG and home range area (Spearmans rank correlation rho = 0.75, p = 0.01), the second of which appears to be highly influenced by one outlier. We could hypothesis that there may be a higher number of earthworms and dung beetles around a latrine area, which could be acting as paratenic hosts.
Despite the lack of association between the parameters measured and the health status of the pigs in this study, these findings do, however, have major implications for our understanding of pig husbandry and disease control within resource poor settings. For example, a domestic, free-ranging pig spends only ~50% of time within the homestead that owns it, indicating a high likelihood of exposure to environmental features, contaminants and pathogens outside the home area. Thus, when considering control policies for reducing infectious diseases in pigs, interventions targeting only pig owning households may be less effective than expected, and a community approach is clearly required.
Three out of the ten pigs recruited into this study were found to be positive for T.solium circulating antigen, which is a high prevalence compared to previous studies in the area which have found between 4%  and 10.5% . However, a survey of 343 pigs at slaughter facilities in the study area immediately prior to the onset of the current study has found a prevalence of circulating antigen, using the same HP10 ELSIA of 55% (In prep. LFT, EMF, EAC, WAdG). This indicated that the area is, in fact, hyper-endemic for T.solium and we are therefore unsurprised that pigs selected on the basis of a known risk factor for cysticercosis infection were found to be infected.
In the case of Taenia solium cysticercosis, the porcine infection is acquired by the ingestion of infective eggs or proglottids in human faecal material that contaminates the pigs’ environment. Many studies have looked at the presence or absence of a latrine in a homestead as being a risk factor for cysticercosis infection in pigs; however, there has been no consensus between these studies. Some authors have found that the presence of a latrine is a risk factor for porcine cysticercosis [13, 57] and others that latrines are protective [7, 48, 58]. In this study we found no association between the time spent interacting with a latrine on the homestead of origin and the T.solium status of the pig, which we believe suggests that the presence or absence of a latrine in an individual home is of less relevance to parasite transmission than overall provision of sanitation for the wider community in which the pig roams.
Although the observations made during this study suggest that pigs spend only a small amount of time interacting with the latrine area in their own homesteads (1.3%), we cannot discount the potential for pigs to come into contact with human faecal material elsewhere on the homestead or in neighbouring homesteads. We also note that any degree of access to human faecal material in or around a latrine, however short in time, is enough for transmission of the parasite to occur. Furthermore, 25% of homesteads in our study area do not have access to a latrine (In prep. EMF, LFD, EAC, WAdG), meaning that many people have no choice but to engage in open defecation, raising a very real possibility for pigs to contact human faecal material, and therefore potentially infective T.solium eggs. Finally, not all latrines are of the same quality, such that pigs may be able to access latrine buildings that are not properly enclosed: in this study area only 29% (in prep. LFT, EMF, EAC, WAdG) of latrine buildings were completely enclosed, and therefore not accessible to scavenging animals.
One method for the improvement of sanitation, which uses the whole community approach is the so called “community led total sanitation” . This method attempts to trigger a community’s engagement with its own sanitation issues to reduce open defecation. Using this approach, communities take control of producing locally appropriate latrines and ensure that all community members use them. Such blanket coverage is likely to be far more effective than piecemeal individual adoption of latrines with respect to the exposure of free range pigs to faecal material.
Gastro-intestinal and ectoparasite infections are another important, production limiting issue for pig producers, as shown in Table 1. Heavy infestation with these parasites can lead to reduced weight gain in pigs , reducing the economic potential of these livestock. We found that only 2 of the 10 pigs recruited into this study were said to have had any anthelmintic in the 6 months prior to the study, and this was not found to have any influence on parasite load (in EPG for any nematode species). A lack of influence of levamisole treatment on EPG was also found in another study in western Kenya , suggesting either anthelmintic resistance, or incorrect usage of the drugs. Improved husbandry practises, including the use of effective anthelmintics at correct dosages, would enhance pig health and production in this study area. Importantly, we also find that the distances that free range pigs move on a daily basis (mean of 4.1 km during daylight and 4.5 km at night) are likely to entail high energy expenditure. Mature pigs 6–10 months old presenting at slaughter in this region have been found to have mean live weights at the abattoir of 30 kg, giving a dressed weight of only 22.5 kg and earning the farmer only 2,000–2,500 KES , equivalent to US$24–29 per animal. Encouraging the confinement of pigs is likely to improve feed conversion and weight gain, by both reducing un-necessary energy expenditure as well as limiting parasite burden through environmental exposure.
Confinement of pigs would also reduce the risk of contact with other domestic or wild pigs: pig to pig contact is a driver of African Swine Fever (ASF) virus transmission. ASF regularly causes outbreaks in this region, with two reported outbreaks at the end of 2010, both of which were reported as being resolved by early 2012 . Confining pigs within correctly constructed pig stys would also reduce the chances of contact between pigs and tsetse flies  the vectors of Trypanosoma spp. Western Kenya is a trypanosomiasis endemic area and pigs are known to be important hosts and reservoirs [28, 29].
Both Trichinellosis and Toxoplasmosis are very real threats to these free-ranging pigs, with access to kitchen waste, in particular meat products, being a risk factor for infection. Such swill is also implicated in ASF transmission. Pigs in this study were observed spending an average of 5.9% of their time in the vicinity of the cooking and waste disposal areas of their homestead of origin, illustrating the potential for ingestion of meat, which may contain infective tissue cysts of Toxoplasma gondii or Trichinella spirallis. Porcine toxoplasmosis can also be acquired through the ingestion of sporulated oocysts in cat faecal material: given that 49% of households in this region (unpublished obs.EMF, LFT, WAdG, EAC) report owning cats, combined with the scavenging behaviour of free range pigs, it is easy to infer from this the degree of contact with feline faecal material which takes place that may propagate this parasite.
While confinement would clearly be advantageous, there are practical and societal difficulties to overcome in encouraging the practice, not least because free range pig keeping is attractive to farmers due to the low input nature of the production system and the ease of implementation. Local extension services in areas where free ranging is practiced across East Africa should work to convince farmers that investing in improving pig production can reap important economic benefits in terms of weight at slaughter, as well as improve biosecurity and herd health on small-holdings.
These data provide new insights into the behaviour of pigs kept under a free range system in a resource-poor setting. We believe that the data presented here can be used in conjunction with information on pig population densities to build contact network models and to better understand transmission of several pathogenic organisms. For example, understanding transmission of African swine fever between individual pigs or between domestic and wild pigs. The movement data can also be combined with information on ration formulation and daily weight gain to provide evidence-driven advice to farmers on how to change their animal husbandry practices to improve the profitability of pig production. The key messages are: 1) pigs kept under these systems spend almost half their time outside their homestead boundaries, such that the village environment beyond the farm matters just as much as the environment on the farm itself to pathogen transmission, and 2) free range domestic pigs expend tremendous energy foraging in the village environment, thus reducing their potential for weight gain and economic benefit to their owners.
African swine fever
African swine fever virus
Central nervous system
Eggs per gram
Geographic information systems
Global positioning system
General packet radio system
International livestock research institute
Local convex hull
Minimum convex polygon.
We thank the Wellcome Trust (085308) for their support of EMF and the People, Animals and their Zoonoses project. This work was also supported by a Strategic Award from the Wellcome Trust to the Centre for Immunity, Infection and Evolution (095831), supporting the laboratory facilities in Busia. We also thank the BBSRC who provide support to LFT & WdG through the DTG scheme and the MRC for their support of EAC. We thank all of the team on the ‘PAZ’ project for their hard work and diligence, especially Lazurus Omoto who was instrumental in carrying out the field elements of this study. We are grateful to all the participating farmers for their willingness to be involved in the research and to Henrik Rasmussen of Savannah Tracking Ltd (http://www.savannahtracking.com/) for technical support with the GPS collars.
- Delgado CL, Rosegrant MW, Meijer S: The revolution continues. Auckland,New Zealand: Annual meeting of the International Agricultural Trade Research Consortium (IATRC); 2001.Google Scholar
- Delgado CL, Rosegrant MW, Meijer S: The revolution continues. 2001, Auckland, New Zealand: Annual meeting of the International Agricultural Trade Research Consortium (IATRC)Google Scholar
- Dewey CE, Wohlgemut JM, Levy M, Mutua FK: The impact of political crisis on smallholder pig farmers in western Kenya, 2006–2008. J Mod Afr Stud. 2011, 49 (03): 455-473. 10.1017/S0022278X11000280.View ArticleGoogle Scholar
- Lekule FP, Kyvsgaard NC: Improving pig husbandry in tropical resource-poor communities and its potential to reduce risk of porcine cysticercosis. Acta Trop. 2003, 87 (1): 111-117. 10.1016/S0001-706X(03)00026-3.PubMedView ArticleGoogle Scholar
- Githigia SM, Murekefu A, Otieno RO: Prevalence of porcine cysticercosis and risk factors for taenia solium taeniosis in funyula division of busia district, kenya. Kenya Veterinarian. 2007, 29 (1): 37-39.Google Scholar
- Waiswa C, Fèvre EM, Nsadha Z, Sikasunge CS, Willingham Iii AL: Porcine cysticercosis in southeast Uganda: seroprevalence in Kamuli and Kaliro districts. J Parasitol Res. 2009, 2009: 1-5.View ArticleGoogle Scholar
- Ngowi HA, Kassuku AA, Maeda GEM, Boa ME, Carabin H, Willingham AL: Risk factors for the prevalence of porcine cysticercosis in Mbulu District, Tanzania. Vet Parasitol. 2004, 120 (4): 275-283. 10.1016/j.vetpar.2004.01.015.PubMedView ArticleGoogle Scholar
- Assana E, Amadou F, Thys E, Lightowlers MW, Zoli AP, Dorny P, Geerts S: Pig-farming systems and porcine cysticercosis in the north of Cameroon. J Helminthol. 2010, 84 (04): 441-446. 10.1017/S0022149X10000167.PubMedPubMed CentralView ArticleGoogle Scholar
- Phiri IK, Dorny P, Gabriel S, Willingham AL, Speybroeck N, Vercruysse J: The prevalence of porcine cysticercosis in eastern and southern provinces of Zambia. Vet Parasitol. 2002, 108 (1): 31-39. 10.1016/S0304-4017(02)00165-6.PubMedView ArticleGoogle Scholar
- Commission on Tropical Diseases [International League Against Epilepsy]: Relationship between epilepsy and tropical diseases. Epilepsia. 1994, 35: 89-93.View ArticleGoogle Scholar
- García HH, Del Brutto OH: Imaging findings in neurocysticercosis. Acta Trop. 2003, 87 (1): 71-78. 10.1016/S0001-706X(03)00057-3.PubMedView ArticleGoogle Scholar
- Flisser A: Where are the tapeworms?. Parasitol Int. 2006, 55 (Supplement 1): S117-S120.PubMedView ArticleGoogle Scholar
- Pouedet MSR, Zoli AP, Vondou L, Assana E, Speybroeck N, Berkvens D, Dorny P, Brandt J, Geerts S: Epidemiological survey of swine cysticercosis in two rural communities of West-Cameroon. Vet Parasitol. 2002, 106 (1): 45-54. 10.1016/S0304-4017(02)00035-3.PubMedView ArticleGoogle Scholar
- Sikasunge CS, Phiri IK, Phiri AM, Dorny P, Siziya S, Willingham Iii AL: Risk factors associated with porcine cysticercosis in selected districts of Eastern and Southern provinces of Zambia. Vet Parasitol. 2007, 143 (1): 59-66. 10.1016/j.vetpar.2006.07.023.PubMedView ArticleGoogle Scholar
- Widdowson MA, Cook AJC, Williams JJ, Argaes F, Rodriguez I, Dominguez JL, Rodriguez R: Investigation of risk factors for porcine Taenia solium cysticercosis: a multiple regression analysis of a cross-sectional study in the Yucatan Peninsula, Mexico. Trans R Soc Trop Med Hyg. 2000, 94: 620-624. 10.1016/S0035-9203(00)90209-8.PubMedView ArticleGoogle Scholar
- Alban L, Boes J, Kreiner H, Petersen JV, Willeberg P: Towards a risk-based surveillance for trichinella spp. in danish pig production. Prev Vet Med. 2008, 87 (3–4): 340-357.PubMedView ArticleGoogle Scholar
- Schuppers ME, Frey CF, Gottstein B, Stärk KDC, Kihm U, Regula G: Comparing the demonstration of freedom from trichinella infection of domestic pigs by traditional and risk-based surveillance. Epidemiol Infect. 2010, 138 (09): 1242-1251. 10.1017/S0950268809991518.PubMedView ArticleGoogle Scholar
- van der Giessen J, Fonville M, Bouwknegt M, Langelaar M, Vollema A: Seroprevalence of trichinella spiralis and toxoplasma gondii in pigs from different housing systems in The Netherlands. Vet Parasitol. 2007, 148 (3–4): 371-374.PubMedView ArticleGoogle Scholar
- Tenter AM, Heckeroth AR, Weiss LM: Toxoplasma gondii: from animals to humans. Int J Parasitol. 2000, 30 (12–13): 1217-1258.PubMedPubMed CentralView ArticleGoogle Scholar
- Dubey JP: A review of toxoplasmosis in pigs. Vet Parasitol. 1986, 19 (3–4): 181-223.PubMedView ArticleGoogle Scholar
- Kijlstra A, Eissen OA, Cornelissen J, Munniksma K, Eijck I, Kortbeek T: Toxoplasma gondii infection in animal-friendly pig production systems. Invest Ophthalmol Vis Sci. 2004, 45 (9): 3165-10.1167/iovs.04-0326.PubMedView ArticleGoogle Scholar
- Bengis RG, Kock RA, Fischer J: Infectious animal diseases: the wildlife/livestock interface. Rev Sci Tech Off Int Epizoot. 2002, 21 (1): 53-66.Google Scholar
- Anderson EC, Hutchings GH, Mukarati N, Wilkinson PJ: African swine fever virus infection of the bushpig (Potamochoerus porcus) and its significance in the epidemiology of the disease. Vet Microbiol. 1998, 62 (1): 1-15. 10.1016/S0378-1135(98)00187-4.PubMedView ArticleGoogle Scholar
- Lubisi BA, Bastos ADS, Dwarka RM, Vosloo W: Molecular epidemiology of African swine fever in East Africa. Arch Virol. 2005, 150 (12): 2439-2452. 10.1007/s00705-005-0602-1.PubMedView ArticleGoogle Scholar
- Jori F, Bastos ADS: Role of wild suids in the epidemiology of African swine fever. EcoHealth. 2009, 6 (2): 296-310. 10.1007/s10393-009-0248-7.PubMedView ArticleGoogle Scholar
- African Swine Fever. Kenya, http://www.oie.int/wahis_2/public/wahid.php/Reviewreport/Review?page_refer=MapEventSummary&reportid=10307.
- Simo G, Asonganyi T, Nkinin SW, Njiokou F, Herder S: High prevalence of trypanosoma brucei gambiense group 1 in pigs from the fontem sleeping sickness focus in Cameroon. Vet Parasitol. 2006, 139 (1–3): 57-66.PubMedView ArticleGoogle Scholar
- Waiswa C, Picozzi K, Katunguka-Rwakishaya E, Olaho-Mukani W, Musoke RA, Welburn SC: Glossina fuscipes fuscipes in the trypanosomiasis endemic areas of south eastern uganda: apparent density, trypanosome infection rates and host feeding preferences. Acta Trop. 2006, 99 (1): 23-29. 10.1016/j.actatropica.2006.06.005.PubMedView ArticleGoogle Scholar
- von Wissmann B, Machila N, Picozzi K, Fèvre EM, Barend M, Handel IG, Welburn SC: Factors associated with acquisition of human infective and animal infective trypanosome infections in domestic livestock in western Kenya. PLoS Negl Trop Dis. 2011, 5 (1): e941-10.1371/journal.pntd.0000941.PubMedPubMed CentralView ArticleGoogle Scholar
- Stewart TB, Hale OM: Losses to internal parasites in swine production. J Anim Sci. 1988, 66 (6): 1548-1554.PubMedGoogle Scholar
- Nansen P, Roepstorff A: Parasitic helminths of the pig: factors influencing transmission and infection levels. Int J Parasitol. 1999, 29 (6): 877-891. 10.1016/S0020-7519(99)00048-X.PubMedView ArticleGoogle Scholar
- Kagira JM, Kanyari PN, Githigia SM, Maingi N, Ng’ang’a JC, Gachohi JM: Risk factors associated with occurrence of nematodes in free range pigs in Busia District, Kenya. Trop Anim Health Prod. 2012, 44 (3): 657-664. 10.1007/s11250-011-9951-9.PubMedView ArticleGoogle Scholar
- Laughlin K, Mendl M: Pigs shift too: foraging strategies and spatial memory in the domestic pig. Anim Behav. 2000, 60 (3): 403-410. 10.1006/anbe.2000.1468.PubMedView ArticleGoogle Scholar
- Held S, Baumgartner J, KilBride A, Byrne RW, Mendl M: Foraging behaviour in domestic pigs (Sus scrofa): remembering and prioritizing food sites of different value. Anim Cogn. 2005, 8 (2): 114-121. 10.1007/s10071-004-0242-y.PubMedView ArticleGoogle Scholar
- Copado F, de Aluja AS, Mayagoitia L, Galindo F: The behaviour of free ranging pigs in the Mexican tropics and its relationships with human faeces consumption. Appl Anim Behav Sci. 2004, 88 (3–4): 243-252.View ArticleGoogle Scholar
- Burt WH: Territoriality and home range concepts as applied to mammals. J Mammal. 1943, 24 (3): 346-352. 10.2307/1374834.View ArticleGoogle Scholar
- Harris S, Cresswell WJ, Forde PG, Trewhella WJ, Woollard T, Wray S: Home range analysis using radio tracking data–a review of problems and techniques particularly as applied to the study of mammals. Mammal Review. 1990, 20 (2 3): 97-123.View ArticleGoogle Scholar
- Worton BJ: A review of models of home range for animal movement. Ecol Model. 1987, 38 (3–4): 277-298.View ArticleGoogle Scholar
- Burgman MA, Fox JC: Bias in species range estimates from minimum convex polygons: implications for conservation and options for improved planning. Anim Conserv. 2003, 6 (01): 19-28. 10.1017/S1367943003003044.View ArticleGoogle Scholar
- Getz WM, Wilmers CC: A local nearest neighbor convex hull construction of home ranges and utilization distributions. Ecography. 2004, 27 (4): 489-505. 10.1111/j.0906-7590.2004.03835.x.View ArticleGoogle Scholar
- van Beest FM, Rivrud IM, Loe LE, Milner JM, Mysterud A: What determines variation in home range size across spatiotemporal scales in a large browsing herbivore?. J Anim Ecol. 2011, 80 (4): 771-785. 10.1111/j.1365-2656.2011.01829.x.PubMedView ArticleGoogle Scholar
- Mayer JJ, Brisbin I: Wild pigs in the United States: their history, comparative morphology, and current status. University of Georgia Press; 2008.Google Scholar
- Baber DW, Coblentz BE: Density, home range, habitat use, and reproduction in feral pigs on Santa Catalina Island. J Mammal. 1986, 67 (3): 512-525. 10.2307/1381283.View ArticleGoogle Scholar
- Nugent G, Whitford J, Young N: Use of released pigs as sentinels for mycobacterium bovis. J Wildl Dis. 2002, 38 (4): 665.PubMedView ArticleGoogle Scholar
- Kristjanson P, Krishna A, Radeny M, Nindo W:Pathways out of Poverty in Western Kenya and the Role of Livestock; Pro-Poor Livestock Policy Initiative Working Paper no. 14. Nairobi, Kenya; 2004: 28.Google Scholar
- Beyer H: Hawths analysis tools for ArcGIS. 2005, http://www.spatialecology.com/htools/overview.php.Google Scholar
- ILRI GIS Unit. http://www.ilri.org/gis.
- Mutua FK, Randolph TF, Arimi SM, Kitala PM, Githigia SM, Willingham AL, Njeruh FM: Palpable lingual cysts, a possible indicator of porcine cysticercosis, in Teso District, Western Kenya. J Swine Health and Production. 2007, 15 (4): 206.Google Scholar
- McMaster Egg Counting Technique. http://cal.vet.upenn.edu/projects/parasit06/website/mcmaster.htm.
- Ash LR, Orihel TC, Savioli L: Training Manual on DiagnosisBench aids for the diagnosis of Intestinal Parasites, Tutors Guide, WHO/CTD/ SIP/98.2,Schistosomaisis and Intestinal Parasites Unit, Division of Control of Tropical Diseases,intestinal parasites. Geneva,Organization: World Health Organization; 1994.Google Scholar
- Harrison LJS, Joshua GWP, Wright SH, Parkhouse RME: Specific detection of circulating surface/secreted glycoproteins of viable cysticerci in Taenia saginata cysticercosis. Parasite Immunol. 1989, 11 (4): 351-370. 10.1111/j.1365-3024.1989.tb00673.x.PubMedView ArticleGoogle Scholar
- LoCoH: A k-NNCH Implementation. http://locoh.cnr.berkeley.edu/rtutorial.
- R core development team: R: A language and environment for statistical computing. R Foundation Statistical Computing; 2008. www.r-project.org.Google Scholar
- Harrison LJ, Parkhouse RM: Taenia saginata and Taenia solium: reciprocal models. Acta Leiden. 1989, 57 (2): 143.PubMedGoogle Scholar
- Robert S, Dancosse J, Dallaire A: Some observations on the role of environment and genetics in behaviour of wild and domestic forms of Sus scrofa (European wild boars and domestic pigs). Appl Anim Behav Sci. 1987, 17 (3): 253-262. 10.1016/0168-1591(87)90150-X.View ArticleGoogle Scholar
- Fraser D: The role of behavior in swine production: a review of research. Appl Anim Ethol. 1984, 11 (4): 317-339. 10.1016/0304-3762(84)90041-5.View ArticleGoogle Scholar
- Sarti E, Schantz PM, Plancarte A, Wilson M, Gutierrez IO, Aguilera J, Roberts J, Flisser A: Epidemiological investigation of taenia solium taeniasis and cysticercosis in a rural village of michoacan state, Mexico. Trans R Soc Trop Med Hyg. 1992, 88 (1): 49-52.View ArticleGoogle Scholar
- Kagira JM, Maingi N, Kanyari PWN, Githigia SM, Ng’ang’a JC, Gachohi JM: Seroprevalence of cysticercus cellulosae and associated risk factors in free-range pigs in Kenya. J Helminthol. 2010, 84 (04): 398-403. 10.1017/S0022149X10000076.PubMedView ArticleGoogle Scholar
- Kamal K, Chambers R: Handbook on community-led total sanitation. London:Plan UK; 2008.Google Scholar
- Levy M, Dewey C, Weersink A, Mutua F: Comparative profitability of pig butcher businesses in western Kenya, International Symposia on Veterinary Epidemiology and Economics (ISVEE) proceedings, ISVEE 12:Google Scholar
- Peter RJ, Van den Bossche P, Penzhorn BL, Sharp B: Tick, fly, and mosquito control: lessons from the past, solutions for the future. Vet Parasitol. 2005, 132 (3): 205-215. 10.1016/j.vetpar.2005.07.004.PubMedView ArticleGoogle Scholar