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. 2020 Nov 17;16:446. doi: 10.1186/s12917-020-02667-y

Prevalence and distribution of livestock schistosomiasis and fascioliasis in Côte d’Ivoire: results from a cross-sectional survey

Jules N Kouadio 1,2,3,4,, Jennifer Giovanoli Evack 3,4, Louise Y Achi 2,5, Dominik Fritsche 6, Mamadou Ouattara 1,2, Kigbafori D Silué 1,2, Bassirou Bonfoh 2, Jan Hattendorf 3,4, Jürg Utzinger 3,4, Jakob Zinsstag 3,4, Oliver Balmer 3,4, Eliézer K N’Goran 1,2
PMCID: PMC7672978  PMID: 33203412

Abstract

Background

Schistosoma and Fasciola are zoonotic parasites of public health and veterinary importance. However, while the epidemiology of schistosomiasis in humans is well studied, little is known about fascioliasis and schistosomiasis in livestock in Côte d’Ivoire. This study aimed to determine the prevalence and the distribution of livestock schistosomiasis and fascioliasis across Côte d’Ivoire.

In 2018, we conducted a cross-sectional survey in abattoirs and farms in 13 departments of Côte d’Ivoire. In abattoirs, the mesenteric veins and livers of slaughtered cattle, sheep and goats were examined for adult Schistosoma and Fasciola flukes. Faeces from live cattle, goats and sheep were collected and examined for Schistosoma and Fasciola eggs using a sedimentation technique.

Results

A total of 386 cattle, 174 goats and 151 sheep from abattoirs and 435 cattle, 22 goats and 176 sheep from farms were sampled. The observed prevalence of schistosomiasis was higher in slaughtered animals. Fascioliasis was more prevalent in farm animals. The prevalence of schistosomiasis in slaughtered cattle varied between 5.9% (95% confidence interval (CI): 0.7–19.7%) and 53.3% (95% CI: 37.9–68.3%) with the highest prevalence observed in Ouangolodougou in the North. Cattle from farms had a relatively low prevalence of schistosomiasis, with the highest prevalence found in Ouangolodougou (2.4%, 95% CI: 0.7–6.1%). The prevalence of fascioliasis varied considerably from one department to another, ranging from nil (95% CI: 0.0–18.5%) to 50.8% (95% CI: 43.4–58.2%), with the highest prevalence found in farm cattle in Dikodougou in the North. Sheep and goats had a lower prevalence of schistosomiasis and fascioliasis than cattle. In slaughtered animals, cattle aged 4 years and older were at highest risk for schistosomiasis (odds ratio (OR): 2.4; 95% CI: 1.0–5.6) and fascioliasis (OR: 2.1; 95% CI: 1.1–3.9). In farm animals, male cattle had higher odds of being infected with Schistosoma (OR: 4.3; 95% CI: 0.7–26.9) than females.

Conclusions

Our study confirms that schistosomiasis and fascioliasis are endemic in livestock across Côte d’Ivoire. A strategic control programme should be considered, especially for cattle, including providing drinking water in troughs to reduce faecal contamination of water sources by cattle.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12917-020-02667-y.

Keywords: Côte d’Ivoire, Cross-sectional survey, Epidemiology, Fasciola, Livestock, Schistosoma

Background

Schistosomiasis and fascioliasis are zoonotic diseases with a complex transmission cycle involving aquatic snails as intermediate hosts and mammalian definitive hosts [1, 2]. Schistosomiasis and fascioliasis are both caused by trematodes; the former by the genus Schistosoma, the latter by the genus Fasciola [3, 4]. Schistosomiasis and fascioliasis are widespread in tropical and subtropical regions of the world where climatic, ecological and hygienic conditions favour their transmission [3, 5]. Besides their considerable public health burden [6], schistosomiasis and fascioliasis are responsible for economic loss in livestock, mainly through reduced fertility and productivity, liver condemnation, stunted growth and premature death [79].

Schistosomiasis also exists in wild and domestic animals and a wide range of mammals are susceptible to schistosome infection, including buffaloes, camels, cattle, goats, horses, pigs and sheep [1012]. Schistosoma species that affect mammals include Schistosoma bovis, S. curassoni, S. hippopotami,, S. indicum, S. intercalatum, S. mattheei, S. nasalis, S. rohhaini and S. spindale [13]. In many countries, S. bovis is one of the main species of veterinary and zoonotic importance [8, 14, 15]. In West Africa, S. bovis and S. curassoni are responsible for schistosomiasis in cattle and small ruminants (goat and sheep), respectively [16, 17]. The prevalence of bovine schistosomiasis varies greatly from 1.2% in Nigeria [18] to 21.7% in Ghana [19]. In Côte d’Ivoire, human schistosomiasis has been the subject of numerous epidemiological studies [2022]. In contrast, livestock schistosomiasis, has received little attention [23], despite the economic importance of livestock in the country. Prevalence of livestock schistosomiasis has been reported at 35% in the northern part of the country [23]. Of note, recent studies have found that S. bovis is involved in the hybridisation of schistosomes in humans in Côte d’Ivoire [24, 25].

Fascioliasis is a chronic disease with a global distribution that mainly occurs in domestic ruminants [26, 27]. There are two Fasciola species; namely Fasciola hepatica and F. gigantica. The former is a cosmopolitan species adapted to temperate areas, while F. gigantica is responsible for fascioliasis in tropical and subtropical regions of Africa and Asia [2830]. In areas where both species coexist, F. hepatica x F. gigantica hybrids have been found [3133]. Recently, the presence of hybrids has also been confirmed in sub-Saharan Africa [34]. Fascioliasis is endemic in West Africa with the predominant species being F. gigantica [35, 36]. The disease has been reported in cattle with prevalence rates of 6.4–24.8% in Benin [37], 51.1% in Ghana [19], 7–50% in Mali [38] and 28–75% in Nigeria [18, 3942]. Fascioliasis was also noted in North Côte d’Ivoire in 2003, with a prevalence of F. gigantica in cattle of 4% [23], however very little knowledge on the disease situation has been gained since then. Liver condemnation due to fascioliasis is frequent in abattoirs across the country.

The purpose of this study was to provide an overview of the epidemiology of schistosomiasis and fascioliasis in livestock by investigating the prevalence and the distribution of these diseases across Côte d’Ivoire. We designed a cross-sectional survey in abattoirs to collect adult flukes from slaughtered animals and surveyed animals on farms to identify parasite eggs in their faeces.

Results

Characteristics of the animal populations

A total of 711 slaughtered animals (386 cattle, 174 goats and 151 sheep) from abattoirs and 933 farm animals (735 cattle, 22 goats and 176 sheep) were sampled. Most animals were females, consisting of at least 61.4% in each group. Cattle breeds included “Taurin”, “Zébu” and “Taurin x Zébu”. “Zébu” were the most commonly slaughtered cattle (42.5%), while “Taurin x Zébu” were the most common breed found on the farms (79.9% of live cattle). Most of the cattle (79.6%) were at least 4 years old, both on farms and in abattoirs. As in cattle, more than 60% of the goats and sheep sampled were females on farms and in abattoirs. Goat breeds consisted of “Naine” and “Sahelien”. The local breed “Naine” was the most common, at 98.9% and 100% of slaughtered and live goats, respectively. Sheep breeds included “Djallonké”, “Sahelien” and “Djallonké x Sahelien”. As with goats, the local breed “Djallonké” was the most common breed at 98.7% and 89.2% in abattoirs and on farms, respectively.

Prevalence of Schistosoma and Fasciola

Prevalence of Schistosoma and Fasciola infections in slaughtered animals

Post-mortem examination of livers and small intestines in slaughterhouses revealed the presence of Schistosoma spp. and F. gigantica in 12.8% and 11.3%, respectively, of all slaughtered animals (cattle, goats and sheep). The mean prevalence of Schistosoma and Fasciola flukes in cattle across all departments was 22.5% and 19.7%, respectively (Table 1). Goats and sheep were considerably less often infected than cattle (Table 1). In goats, no Fasciola flukes were found, whereas Schistosoma flukes were found in 1.2% of the animals (Table 1). In sheep, Schistosoma and Fasciola flukes were found at a prevalence of 1.3% and 2.7%, respectively (Table 1). The highest prevalence of S. bovis and F. gigantica were found in slaughtered cattle, 53.3% and 40.6%, respectively.

Table 1.

Prevalence of Schistosoma and Fasciola infection in slaughtered cattle (n = 386), goats (n = 174) and sheep (n = 151) in 11 departments of Côte d’Ivoire in a cross-sectional survey conducted in March 2018

Department Cattle Goats Sheep
N Schistosoma bovis Fasciola gigantica N Schistosoma spp. Fasciola gigantica N Schistosoma spp. Fasciola gigantica
npos % (95% CI) npos % (95% CI) npos % (95% CI) npos % (95% CI) npos % (95% CI) npos % (95% CI)
Ouangolodougou 45 24 53.3 (37.9–68.3) 7 15.6 (6.5–29.5) 9 0 0.0 (0.0–33.6) 0 0.0 (0.0–0.3) 6 0 0.0 (0.0–45.9) 0 0.0 (0.0–45.9)
Ferkessédougou 57 14 24.6 (14.1–37.8) 6 10.5 (4.0-21.5) 29 2 6.9 (0.8–22.8) 0 0.0 (0.0–0.1) 14 1 7.1 (0.2–33.9) 0 0.0 (0.0–23.2)
Korhogo 52 18 34.6 (22.0–49.1) 14 26.9 (15.6–41.0) 36 0 0.0 (0.0–9.7) 0 0.0 (0.0–0.1) 36 0 0.0 (0.0–9.7) 1 2.8 (0.1–14.5)
Niakaramadougou 18 2 11.1 (1.4–34.7) 0 0.0 (0.0–18.5) 25 0 0.0 (0.0–13.7) 0 0.0 (0.0–0.1) 6 0 0.0 (0.0–45.9) 0 0.0 (0.0–45.9)
Katiola 32 3 9.4 (2.0–25.0) 13 40.6 (23.7–59.4) 6 0 0.0 (0.0–45.9) 0 0.0 (0.0–0.5)
Bouaké 50 6 12.0 (4.5–24.3) 10 20.0 (10.0–33.7) 7 0 0.0 (0.0–41.0) 0 0.0 (0.0–0.4) 9 0 0.0 (0.0–33.6) 0 0.0 (0.0–33.6)
Yamoussoukro 34 6 17.6 (6.8–34.5) 8 23.5 (10.7–41.2)
Toumodi 16 2 12.5 (1.6–38.3) 0 0.0 (0.0–20.6)
Agboville 27 5 18.5 (6.3–38.1) 4 14.8 (4.2–33.7) 20 0 0.0 (0.0–16.8) 0 0.0 (0.0–16.8) 42 0 0.0 (0.0–8.4) 0 0.0 (0.0–8.4)
Sikensi 21 5 23.8 (8.2–47.2) 6 28.6 (11.3–52.2) 2 0 0.0 (0.0–84.2) 0 0.0 (0.0–84.2) 13 1 7.7 (0.2–36.0) 1 7.7 (0.2–36.0)
Duekoué 34 2 5.9 (0.7–19.7) 8 23.5 (10.8–41.2) 40 0 0.0 (0.0–8.8) 0 0.0 (0.0–8.8) 25 0 0.0 (0.0–13.7) 2 8.0 (1.0–26.0)
Total 386 87 22.5 (18.5–27.0) 76 19.7 (15.8–24.0) 174 2 1.2 (0.1–4.1) 0 0.0 (0.0–2.1) 151 2 1.3 (0.2–4.7) 4 2.7 (0.7–6.6)

N Number of investigated animals per department, npos Number of infected animals, CI Confidence interval

The association between parasitic infection and sex, age and breed of slaughtered cattle are summarised in Table 2. Cattle aged 4 years and older showed the highest odds of S. bovis infection (multiple OR: 2.4; 95% CI: 1.0–5.6). There was no significant association with sex (multiple OR: 1.1; 95% CI: 0.6–1.8). The breeds “Taurin” (multiple OR: 0.9; 95% CI: 0.3–2.8) and “Zébu” (multiple OR: 0.6; 95% CI: 0.2–1.8) had lower odds of infection than “Taurin x Zébu”.

Table 2.

Multiple logistic GEE model analysis of variables associated with Schistosoma bovis and Fasciola gigantica infection among slaughtered cattle, adjusted for potential correlation within slaughterhouse in a cross-sectional survey conducted in Côte d’Ivoire in March 2018. Note that 82 animals from Agboville, Sikensi and Duekoué were not included in the analysis because of missing data on age

Trait N Schistosoma bovis Fasciola gigantica
Infected
npos (%)
Multiple OR 95% CI Infected
npos (%)
Multiple OR 95% CI
Sex
 Female 192 49 (25.5) 37 (19.3)
 Male 112 26 (23.2) 1.1 0.6–1.8 21 (18.8) 1.0 0.6–1.6
Age (years)
 1–3 62 9 (14.5) 7 (11.3)
 ≥ 4 242 66 (27.3) 2.4 1.0–5.6 51 (21.1) 2.1 1.1–3.9
Breed
 Taurin x Zébu 107 31 (29.0) 26 (24.3)
 Taurin 77 20 (26.0) 0.9 0.3–2.8 8 (10.4) 0.4 0.2–0.9
 Zébu 120 24 (20.0) 0.6 0.2–1.8 24 (20.0) 0.7 0.5–1.1

N Investigated animals, npos Number of infected animals, CI Confidence interval, OR Odds ratio

In regards to fascioliasis, cattle aged 4 years and older had the highest odds of infection (multiple OR: 2.1; 95% CI: 1.1–3.9). Sex showed no association with fascioliasis (1.0; 95% CI: 0.6–1.6). The breeds “Taurin” (multiple OR: 0.4; 95% CI: 0.2–0.9) and “Zébu” (multiple OR: 0.7; 95% CI: 0.5–1.1) had lower odds of infection compared to “Taurin x Zébu”.

Prevalence of Schistosoma and Fasciola infections in farm animals

Farm animals were found infected with Schistosoma spp. and F. gigantica, as determined by parasite eggs in faecal samples. In cattle, the overall prevalence of S. bovis and F. gigantica was 0.7% and 29.5%, respectively (Table 3). The prevalence of Schistosoma spp. was higher in goats than in sheep, while the contrary was observed for F. gigantica; but no significant difference was observed. The highest prevalence of Schistosoma (13.6%) and Fasciola (50.8%) were found in goats and cattle, respectively.

Table 3.

Prevalence of Schistosoma and Fasciola in farm cattle (n = 735), goats (n = 22) and sheep (n = 176) in four departments of the northern part of Côte d’Ivoire in a cross-sectional survey carried out in August 2018

Department Cattle Goats Sheep
N Schistosoma bovis Fasciola gigantica N Schistosoma spp. Fasciola gigantica N Schistosoma spp. Fasciola gigantica
npos % (95% CI) npos % (95% CI) npos % (95% CI) npos % (95% CI) npos % (95% CI) npos % (95% CI)
Ouangolodougou 166 4 2.4 (0.7–6.1) 37 22.3 (16.2–29.4) 6 0 0.0 (0.0–45.9) 0 0.0 (0.0–45.9)
Ferkessédougou 199 1 0.5 (0.0–2.8) 33 16.6 (11.7–22.5) 22 3 13.6 (2.9–34.9) 0 0.0 (0.0–15.4) 60 0 0.0 (0.0–6.0) 5 8.3 (2.8–18.4)
Sinématiali 185 0 0.0 (0.0–2.0) 53 28.6 (22.3–35.7) 90 1 1.1 (0.0–6.0) 11 12.2 (6.3–20.8)
Dikodougou 185 0 0.0 (0.0–2.0) 94 50.8 (43.4 58.2) 20 0 0.0 (0.0–16.8) 0 0.0 (0.0–16.8)
Total 735 5 0.7 (0.2–1.6) 217 29.5 (26.3–33.0) 22 3 13.6 (2.9–34.9) 0 0.0 (0.0–15.4) 176 1 0.6 (0.0–3.1) 16 9.1 (5.3–14.3)

N Number of animals per department, npos Number of infected animals, CI Confidence interval

The association between parasitic infections and sex, age and breed of farm cattle are shown in Table 4. Males had higher odds of being infected with S. bovis (multiple OR: 4.3; 95% CI: 0.7–26.9). Cattle aged 4 years and older had lower odds of Schistosoma infection compared to cattle younger than 4 years (multiple OR: 0.6; 95% CI: 0.2–2.3), but these associations lacked statistical significance.

Table 4.

Multiple logistic GEE model analysis of variables associated with Schistosoma bovis and Fasciola gigantica infection among farm cattle, adjusted for potential correlation within farms in a cross-sectional survey carried out in Côte d’Ivoire in August 2018

Trait N Schistosoma bovis Fasciola gigantica
Infected
npos (%)
Multiple OR 95% CI Infected
npos (%)
Multiple OR 95% CI
Sex
 Female 563 2 (0.4) 173 (30.7)
 Male 172 3 (1.7) 4.3 0.7–26.9 44 (25.6) 1.1 0.8–1.7
Age (years)
 1–3 150 2 (1.3) 33 (22.0)
  ≥ 4 585 3 (0.5) 0.6 0.2–2.3 184 (31.5) 1.7 1.0–2.9
Breed
 Taurin x Zébu 587 4 (0.7) 183 (31.2)
 Taurin 37 0 (0.0) ND ND 10 (27.0) 0.8 0.3–2.5
 Zébu 111 1 (0.9) ND ND 24 (21.6) 0.6 0.3–1.0

N Investigated animals, npos Number of infected animals, CI Confidence interval, ND Not determined because of low number of infected individuals in several categories, OR Odds ratio

For fascioliasis, sex showed no strong association (multiple OR: 1.1; 95% CI: 0.8–1.7). Cattle aged 4 years and older had higher odds of infection compared to their younger counterparts (multiple OR: 1.7; 95% CI: 1.0–2.9). The breeds “Taurin” (multiple OR: 0.8; 95% CI: 0.3–2.5) and “Zébu” (multiple OR: 0.6; 95% CI: 0.3–1.0) had lower odds of infection compared to the “Taurin x Zébu”, but the difference lacked statistical significance.

Spatial distribution of Schistosoma and Fasciola infection in livestock

The prevalence of schistosomiasis and fascioliasis varied by department and host species, with the highest prevalence observed in the northern part of Côte d’Ivoire (Fig. 1). As shown in Table 1, the highest prevalence of schistosomiasis in cattle sampled in slaughterhouses was found in Ouangolodougou (53.3%, 95% CI: 37.9–68.3%), while the highest prevalence of fascioliasis was observed in Katiola (40.6%, 95% CI: 23.7–59.4%). The lowest prevalence of schistosomiasis in slaughtered cattle was observed in Duekoué (5.9%, 95% CI: 0.7–19.7%). Fascioliasis was absent in slaughtered cattle in Niakaramadougou and Toumodi.

Fig. 1.

Fig. 1

Map of Côte d’Ivoire showing the proportions of animals found infected with either Schistosoma or Fasciola or both fluke species concurrently in each department, stratified by surveys conducted in abattoirs (a) and on farms (b). Software QGIS version 2.16.0 ‘Nødebo’ (QGIS Development Team) [43], was used to make the map

In farm cattle, F. gigantica was considerably more prevalent than S. bovis (Fig. 3b). As summarized in Table 3, the highest prevalence of F. gigantica in farm cattle was observed in Dikodougou (50.8%), whilst the highest prevalence of S. bovis was found in Ouangolodougou (2.4%).

Fig. 3.

Fig. 3

Schistosoma flukes in mesenteric veins of the small intestine (a) and a Fasciola fluke in a cattle liver (b)

In slaughtered sheep, Schistosoma spp. infection was present in Ferkessédougou and Sikensi with respective prevalences of 7.1% (95% CI: 0.2–33.9%) and 7.7% (95% CI: 0.2–36.0%). Slaughtered goats were also found infected with Schistosoma spp. in Ferkessédougou (6.9%; 95% CI: 0.0–9.7%). In Korhogo, sheep were infected with F. gigantica (2.8%; 95% CI: 0.1–14.5%), but not with Schistosoma and goats were not infected with either parasite. In slaughtered goats and sheep, the highest prevalence of Fasciola infection was recorded in sheep in Duekoué (8.0%; 95% CI: 1.0–26.0%). On farms, Schistosoma spp. were detected in sheep in Sinématiali (1.1%; 95% CI: 0.0–6.0%) and goats in Ferkessédougou (13.6%; 95% CI: 2.9–34.9%) (Table 3). Fascioliasis was found in farm sheep with a prevalence of 8.3% (95% CI: 2.8–18.4%) and 12.2% (95% CI: 6.3–20.8%) in Ferkessédougou and Sinématiali, respectively (Table 3).

Discussion

The prevalence and distribution of trematodes belonging to the genera Schistosoma and Fasciola in slaughtered and live livestock were assessed in the savannah (Centre and North) and forest (South and West) areas of Côte d’Ivoire. The results showed that schistosomiasis and fascioliasis are endemic in Côte d’Ivoire. Schistosoma and Fasciola infection were found at all the investigated sites. Cattle were infected more often with Schistosoma spp. and F. gigantica than goats and sheep, both in slaughterhouses and on farms. Sex was not associated with parasitic infections in slaughtered animals. However, in farm cattle, males were infected more often with Schistosoma than females and the spatial distribution of infections showed that the highest prevalence was found in the northern part of the country.

The distribution of Schistosoma and Fasciola is governed by the presence of multipurpose dams and other freshwater bodies (e.g. rivers) and animal-water contact sites (for schistosomiasis) and consumption of aquatic plants (for fascioliasis). The river networks running North to South is of particular relevance, as it provides habitats for intermediate snail hosts. In addition, the livestock system itself may play an essential role in maintaining the transmission of schistosomiasis. In traditional livestock-systems, animals graze and drink water near and from rivers and dams, depositing faeces containing the parasite eggs, perpetuating the life cycle. A study carried out in the southern highlands of Tanzania demonstrated that livestock management systems influence the epidemiology of trematode infection. Indeed, it was found that the prevalence of trematodes was high in areas where traditional systems were practiced, moderate in large-scale dairy systems and lowest in small-scale dairy systems [44]. In Mali, another study showed that factors such as climatic conditions, presence of rivers and lakes, and livestock management practices influence the prevalence of trematode infections [38].

The prevalence of schistosomiasis and fascioliasis in goats and sheep was low compared to cattle. Cattle graze away from the villages and consume water from rivers and dams. Goats and sheep, in contrast, often graze around the villages and consume water that is provided by farmers. This likely reduces the contact with infested freshwater and reduces the risk of Schistosoma infection in goats and sheep. Our findings are in line with a previous study in the south-eastern Lake Chad area that reported a higher prevalence of adult liver flukes in cattle than sheep and goats [45]. Frequent grazing of cattle near the lake emerged as the key risk factor. In Iran, another study also reported a lower prevalence of Fasciola in goats and sheep compared to cattle. This observation was explained by the fact that goats consume leaves and heaths in elevated areas, sheep graze on open land, while cattle pasture near the springs and streams, and hence, cattle are at a higher risk of exposure to snail-infested freshwater [46].

The two trematode infections appear to be more prevalent in Côte d’Ivoire than elsewhere in sub-Saharan Africa. Indeed, the prevalence of 53.3% of Schistosoma is more than 2-fold higher than that recorded in South Ghana (21.7%) [19]. The prevalence of Fasciola (50.8%) in the current study is higher than previously recorded in the northern part of Côte d’Ivoire (4%) [23]. Our prevalence estimate is also higher compared to research conducted in Ethiopia (31.3%) [47]. However, other studies also showed prevalences above 50%; for instance in Chad (68%) [45], Ghana (51.1%) [19] and Zambia (53.9%) [48]. These high rates in Côte d’Ivoire may be due to the extensive farming systems with little or no veterinary input. The lack of a control programme against trematodes leads to livestock owners medicating their animals with commonly used anthelminthic drugs such as albendazole and nitroxynil without a prescription from a veterinary. Triclabendazole [49], the drug of choice against Fasciola is not available for use in Côte d’Ivoire. Praziquantel, which is highly effective against all visceral bovine schistosomiasis [50], is also not commercially available for livestock in the country. These factors likely contribute to the endemicity of livestock schistosomiasis and fascioliasis.

Schistosoma infection was particularly high in male cattle on farms. A prior study from Nigeria showed that the prevalence of Fasciola was higher in male cattle than in females [51]. In that study, the authors speculated that the high infection rate in male cattle could be attributed to the fact that the males were more often slaughtered for consumption, while the females were left for milk production and breeding. This may have led the herdsmen to ensure that the females graze on clean pasture and drink clean water [51].

In slaughtered animals, sex was not associated with Schistosoma and Fasciola infection. In contrast to the aforementioned Nigerian abattoir survey [51], the prevalence of Schistosoma and Fasciola infection in farm cattle was higher in males than in females. Results concerning this issue are thus not consistent, as there are studies that report higher prevalence in male cattle [13, 52] and others that report higher prevalence in females [53, 54].

Cattle aged 4 years and older were infected more often by S. bovis and F. gigantica than their younger counterparts in slaughterhouses. This finding might be explained by the fact that farmers predominantly butcher older animals or animals that are ill to avoid the death of the animal on the farm, which would result in economic losses. It is conceivable that older animals are in contact with contaminated water for longer periods than younger animals that are kept on the farm for breeding. This is in agreement with studies that reported similar findings in Nigeria [16, 18] and Tanzania [55, 56]. Others studies from western Ethiopia [47] and in the Philippines [57] showed a statistically significant association of the age of the cattle with the prevalence of fascioliasis. In addition, when the cattle get older, their immunity against Fasciola might decrease [58]. However, studies found a higher prevalence rate of fascioliasis in young cattle than in adults [48, 59] and rationalised that older animals would develop acquired immunity that resulted in resistance [60].

The higher prevalence of Schistosoma and Fasciola found in the northern parts of Côte d’Ivoire compared to the South might be explained by the many small multipurpose dams built in the North in the 1970s and 1980s. Indeed, dams play a crucial role in maintaining the lifecycle of snail-borne infections, and some studies have shown the presence of intermediate snail hosts of Schistosoma and Fasciola in North Côte d’Ivoire [61, 62]. In Senegal, trematode infection increased after the construction of large dams across major rivers in the Senegal River basin [63]. The northern part of Côte d’Ivoire is also home to the largest livestock production in the country. The lower prevalence found in the central, southern and western regions could mean that there is a lower parasite pressure on animals compared to the North. The lowest prevalence of schistosomiasis in slaughtered cattle was observed in Duekoué, the western forested area of the country. Studies in humans in Western Côte d’Ivoire showed that S. mansoni is the predominant species [20, 64]. Unlike in cattle, the highest prevalence of fascioliasis in small ruminants was observed in sheep in the forested areas. However, the sample size was not large enough to draw firm conclusions.

The prevalence of Schistosoma in cattle was lower on farms and higher in slaughterhouses, while the opposite was observed for Fasciola. These observations should be interpreted with caution because the two populations of cattle differ in important ways, and the animals tested were not from the exact same places. Therefore, results from farms could not be compared to those from abattoirs.

The following considerations are offered for discussion. First, farm populations are more diverse in regards to age and include calves and young cattle that have had little time to be infected. Second, the cattle at slaughterhouses may be ill, their illness being the reason that they are brought for slaughter. Third, the prevalence of bovine schistosomiasis is often higher in wet season compared to the dry season [16]. As the farm sampling in this study was carried out in the rainy season in the North (August 2018), we expected the prevalence of schistosomiasis to be higher as seen in other investigations [65, 66]. Yet the prevalence was low there and the high prevalence of schistosomiasis was found in dry season (March 2018) in the abattoirs. In regards to the low schistosomiasis prevalences, sedimentation technique has been shown to have a low sensitivity, depending on the protocol. This may be due to factors that affect coprology in general, such as variation in the distribution of eggs within a single faeces specimen; daily fluctuations of faecal production and consistency in the host; and daily fluctuations related to oviposition patterns of the parasite [6769]. The sensitivity is also influenced by the time samples are left to sediment. This is due to the rapid hatching of Schistosoma eggs, which may occur during the sedimentation process before the sediment is observed on the slide [70]. In fact, after exposure to water, Schistosoma eggs can hatch within 20 min [71]. In this study, the total time eggs were left to sediment in water was 45 min. It may also be because not all Schistosoma eggs are excreted in the faeces, many are left trapped the in tissue [52]. Lastly, the immune reaction of host organisms against schistosomes is not primarily directed towards the elimination of adult worms but rather towards the suppression of worm fecundity [72], also leading to reduced egg output. However, with post-mortem examination, adult flukes can be easily detected in the mesenteric vein or liver.

The higher prevalence of Fasciola observed in farm cattle might be due to the higher endemicity of Fasciola in the breeding areas. In addition, faecal examination appears to be more sensitive for Fasciola egg detection. Corroborating this finding, a study in South Ethiopia found a higher prevalence of Fasciola in farm cattle [73]. The higher prevalence of fascioliasis in this study could be due to the fact that sampling was done during the rainy season in the northern part of Côte d’Ivoire. In fact, fascioliasis prevalence is known to vary depending on the season, with an increase in prevalence during the wet season [41, 74, 75]. In contrast, an abattoir study in Southwestern Nigeria reported a higher prevalence of fascioliasis in the dry season compared to the rainy season [76]. To investigate further the epidemiology of trematode infections in livestock in Côte d’Ivoire, a seasonal study of both infections is needed.

Our study has some limitations. First, we did not count the eggs of parasites in the faeces of farm animals; we only determined the prevalence but not the intensity of infection. Second, the sample sizes at some abattoirs were small especially for goats and sheep; in addition, farms from central, southern and western parts of Côte d’Ivoire were less sampled than farms in the North, as livestock populations are mainly concentrated in the northern parts of Côte d’Ivoire. Third, we did not record the history of the treatments that might influence the prevalence of trematodes on farms. However, this study highlights the importance of veterinary trematodes in Côte d’Ivoire, as well as provides prevalence information for regions not previously sampled and updates the existing literature on livestock schistosomiasis and fascioliasis in West Africa, particularly in Côte d’Ivoire.

Conclusions

Animal schistosomiasis and fascioliasis are prevalent in abattoirs and on farms across Côte d’Ivoire, with the highest prevalence found in the North. Our study revealed that Fasciola and Schistosoma infection are both associated with older age cattle and male sex. In view of our findings, a strategic control programme for cattle trematodes is warranted. An important component of such a control programme is to water cattle in troughs rather than to let them freely consume water from ponds, in order to reduce faecal contamination.

Methods

Study area

The study was conducted in 13 departments located in the northern, central, southern and western parts of Côte d’Ivoire: Ouangolodougou, Ferkessédougou, Sinématiali, Korhogo, Dikodougou, Niakaramadougou, Katiola, Bouaké, Yamoussoukro, Toumodi, Agboville, Sikensi and Duekoué (Fig. 2). The areas in the North and the Centre are characterised by a tropical climate and savannah vegetation with some forested areas. The South and West are in the tropical rainforest zone. Rainfall is higher in the southern and western parts, compared to the central and northern parts. The South and West also have less grass for livestock than the central and northern parts. The hydrography is composed of rivers running from North to South and several small multipurpose dams, mainly used for cattle breeding in the North [77]. The rivers and dams provide suitable habitats for intermediate host snails of schistosomiasis and fascioliasis [61] and the savannah with its grass is favourable for cattle breeding.

Fig. 2.

Fig. 2

Map of Côte d’Ivoire highlighting the 13 departments where sampling for fascioliasis and schistosomiasis was conducted. Livestock from 11 abattoirs and 16 farms were sampled during two cross-sectional surveys in 2018. Software QGIS version 2.16.0 ‘Nødebo’ (QGIS Development Team) [43], was used to make the map

Sampling and study design

Two cross-sectional surveys were carried out in March and August of 2018 to determine the prevalence of schistosomiasis and fascioliasis in cattle, goats and sheep. The first survey was conducted to obtain an overview of the prevalence of schistosomiasis and fascioliasis in slaughtered animals, in 11 of the 13 departments across the full geographical range. At least 3 days were spent at each local abattoir, where the livers and small intestines from slaughtered livestock were excised during the routine meat inspection. The samples were stored and transferred to a nearby laboratory of the “Direction Départementale du Ministère des Ressources Animales et Halieutiques”. There, livers and small intestines were examined for Fasciola and Schistosoma flukes. Demographic information such as sex, age, breed and origin were recorded. The animals in the abattoirs came from the local villages or in the northern part of the country, in particular for central, southern and western abattoirs. Of course, there were transhumant animals from the northern border countries, Mali and Burkina Faso, but these animals were not included in the study.

The second cross-sectional survey aimed to determine the prevalence of schistosomiasis and fascioliasis in farm animals and was restricted to the departments of Ouangolodougou, Ferkessédougou, Sinématiali and Dikodougou. These sites were chosen due to the high prevalences of infection detected there in the first cross-section study, in combination with the presence of dams and water bodies frequented by both humans and animals, in the area. A total of 16 farms (in villages) were randomly selected, four farms from each department. Rectal sampling was conducted under license as mentioned in the ethics approval and consent to participate section. After consent from the farmers, veterinary technicians collected faecal samples from the rectums of cattle, goats and sheep, as well as demographic information for each animal. Both abattoir and farm samplings were carried out in the dry season (March) and rainy season (August), respectively. The average monthly temperature and precipitation for the study months sampled are shown in the supplemental material (Additional file 1).

The sample size was determined based on the expected prevalence (p) of bovine fascioliasis and the desired absolute precision (d) and 95% confidence interval (CI) by using the formula n = (Z2 * p * (1-p)) / d2, where Z = 1.96, p = 60% and d = 5% [78]. Thus, a sample size of 369 animals was ascertained for each group of animals, from either slaughterhouses or farms.

Laboratory procedures

Macroscopic inspection of the small intestine and liver of animals for adult flukes was carried out in the laboratory. The mesenteric veins of the small intestine (Fig. 3a) and hepatic veins were examined for schistosomes. Fasciola were recovered from the biliary duct and the parenchyma of the liver (Fig. 3b) [45].

Faecal samples from farm animals were processed by a sedimentation method [79]. In brief, approximately 5 g of faeces was placed in a cup and mixed with 30 ml of tap water. The faecal suspension was sieved through a 400 μm sieve into a 500 ml conical beaker. Tap water was added until the beaker was almost full. The conical beaker sat undisturbed for 15 min. The supernatant was decanted, and the sediment re-suspended in tap water. The process of suspension and decanting was repeated three times. Finally, using a pipette, a drop of the sediment was transferred onto a slide, stained with methylene blue (1%) and examined under a microscope for parasite eggs.

Statistical analysis

Data were double entered into EpiInfo version 3.5.4 (Centers for Disease Control and Prevention; Atlanta, USA) and checked for internal consistency. R software version 3.5.2 [80] was used to calculate proportions and 95% CIs. Associations between parasitic infections and risk factors (sex, age and breed) were assessed using generalized estimating equation (GEE) analysis for binary outcomes with farms and slaughterhouses as clusters. Animals from Agboville, Sikensi and Duekoué were not included in the GEE analysis due to missing data on animal traits in these areas.

Supplementary Information

12917_2020_2667_MOESM1_ESM.pdf (252.3KB, pdf)

Additional file 1. Climate diagram of the northern (a), central (b), southern (c) and western (d) areas of Côte d’Ivoire in 2018.

Acknowledgements

We would like to thank the employees of the “Ministère des Ressourses Animales et Halieutiques de Côte d’Ivoire” for their assistance in the field, as well as the “Laboratoire National d’Appui au Devéloppement Agricole (LANADA) for the use of their laboratories in central and northern parts of Côte d’Ivoire. We are deeply grateful to the farmers for providing access to their livestock. We thank Dr. Etienne K. Angora for his contribution to the improvement of the manuscript.

Abbreviations

CI

Confidence interval

OR

Odds ratio

S

Schistosoma

F

Fasciola

p

Prevalence

d

Desired absolute precision

GEE

Generalized estimating equation

Authors’ contributions

JNK, JGE, LYA, DF, MO, KDS, BB, JH, JU, JZ, OB and EKN conceived of and designed the study. JNK, JGE, LYA and DF conducted the study. JNK and JH analysed and interpreted the data. JNK wrote the first draft. JGE, LYA, DF, MO, KDS, BB, JU, JZ, OB and EKN revised the manuscript. All authors read and approved the final version of the manuscript.

Funding

This work was financially supported by the Swiss National Science Foundation (grant no 31003A_170113). The funder had no role in study design, data collection, analysis and interpretation, or preparation of the manuscript.

Availability of data and materials

The datasets used and/or analysed during the current study are available from Dr. Oliver Balmer on reasonable request.

Ethics approval and consent to participate

The study was a part of a project entitled “Transmission dynamics and hybridization of human and animal trematodes in Côte d’Ivoire” that was approved by the National Ethics Committees of Côte d’Ivoire (reference no.: 035/MSH /CNER-kp) and Switzerland (UBE-2016-00707). In addition, the “Direction des Services Vétérinaires” of the “Ministère des Ressources Animales et Halieutiques de Côte d’Ivoire” authorized the study. The farmers signed informed consent forms for the sampling of their animals. International and national guidelines for the care and use of animals were followed.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Angeles JMM, Leonardo LR, Goto Y, Kirinoki M, Villacorte EA, Hakimi H, et al. Water buffalo as sentinel animals for schistosomiasis surveillance. Bull World Health Organ. 2015;93:511–512. doi: 10.2471/BLT.14.143065. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Mas-Coma S, Valero MA, Bargues MD. Climate change effects on trematodiases, with emphasis on zoonotic fascioliasis and schistosomiasis. Vet Parasitol. 2009;163:264–280. doi: 10.1016/j.vetpar.2009.03.024. [DOI] [PubMed] [Google Scholar]
  • 3.Mas-Coma S, Bargues MD, Valero MA. Human fascioliasis infection sources, their diversity, incidence factors, analytical methods and prevention measures. Parasitology. 2018;145:1665–1699. doi: 10.1017/S0031182018000914. [DOI] [PubMed] [Google Scholar]
  • 4.McManus DP, Dunne DW, Sacko M, Utzinger J, Vennervald BJ, Zhou X-N. Schistosomiasis. Nat Rev Dis Primer. 2018;4:13. doi: 10.1038/s41572-018-0013-8. [DOI] [PubMed] [Google Scholar]
  • 5.Lai Y-S, Biedermann P, Ekpo UF, Garba A, Mathieu E, Midzi N, et al. Spatial distribution of schistosomiasis and treatment needs in sub-Saharan Africa: a systematic review and geostatistical analysis. Lancet Infect Dis. 2015;15:927–940. doi: 10.1016/S1473-3099(15)00066-3. [DOI] [PubMed] [Google Scholar]
  • 6.GBD 2017 DALYs and HALE Collaborators Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Lond Engl. 2018;392:1859–1922. doi: 10.1016/S0140-6736(18)32335-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Saleha AA. Liver fluke disease (fascioliasis): epidemiology, economic impact and public health significance. Southeast Asian J Trop Med Public Health. 1991;22(Suppl):361–364. [PubMed] [Google Scholar]
  • 8.You H, Cai P, Tebeje B, Li Y, McManus D. Schistosome vaccines for domestic animals. Trop Med Infect Dis. 2018;3:68. doi: 10.3390/tropicalmed3020068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Yusuf M, Ibrahim N, Tafese W, Deneke Y. Prevalence of bovine fasciolosis in municipal abattoir of Haramaya, Ethiopia. Food Sci Qual Manag. 2016;48:38–43. [Google Scholar]
  • 10.Catalano S, Sène M, Diouf ND, Fall CB, Borlase A, Léger E, et al. Rodents as natural hosts of zoonotic Schistosoma species and hybrids: an epidemiological and evolutionary perspective from West Africa. J Infect Dis. 2018;218:429–433. doi: 10.1093/infdis/jiy029. [DOI] [PubMed] [Google Scholar]
  • 11.Modena CM, Lima W d S, Coelho PMZ. Wild and domesticated animals as reservoirs of Schistosoma mansoni in Brazil. Acta Trop. 2008;108:242–244. doi: 10.1016/j.actatropica.2008.07.004. [DOI] [PubMed] [Google Scholar]
  • 12.Standley CJ, Dobson AP, Stothard JR. Out of animals and back again: schistosomiasis as a zoonosis in Africa. In: Schistosomiasis. InTech. 2012. pp. 209–230. [Google Scholar]
  • 13.Yihunie A, Urga B, Alebie G. Prevalence and risk factors of bovine schistosomiasis in northwestern Ethiopia. BMC Vet Res. 2019;15:12. doi: 10.1186/s12917-018-1757-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Boissier J, Grech-Angelini S, Webster BL, Allienne J-F, Huyse T, Mas-Coma S, et al. Outbreak of urogenital schistosomiasis in Corsica (France): an epidemiological case study. Lancet Infect Dis. 2016;16:971–979. doi: 10.1016/S1473-3099(16)00175-4. [DOI] [PubMed] [Google Scholar]
  • 15.Webster BL, Diaw OT, Seye MM, Webster JP, Rollinson D. Introgressive hybridization of Schistosoma haematobium group species in Senegal: species barrier break down between ruminant and human schistosomes. PLoS Negl Trop Dis. 2013;7:e2110. doi: 10.1371/journal.pntd.0002110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Elelu N, Eisler MC. A review of bovine fasciolosis and other trematode infections in Nigeria. J Helminthol. 2018;92:128–141. doi: 10.1017/S0022149X17000402. [DOI] [PubMed] [Google Scholar]
  • 17.Rollinson D, Southgate VR, Vercruysse J, Moore PJ. Observations on natural and experimental interactions between Schistosoma bovis and S. curassoni from West Africa. Acta Trop. 1990;47:101–114. doi: 10.1016/0001-706X(90)90072-8. [DOI] [PubMed] [Google Scholar]
  • 18.Elelu N, Ambali A, Coles GC, Eisler MC. Cross-sectional study of Fasciola gigantica and other trematode infections of cattle in Edu local government area, Kwara state, north-Central Nigeria. Parasit Vectors. 2016;9:470. doi: 10.1186/s13071-016-1737-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Squire AS, Amafu-Dey H, Amafu-Dey J. Epidemiology of gastrointestinal parasites of cattle from selected locations in southern Ghana. Livest Res Rural Dev. 2013;25:13. [Google Scholar]
  • 20.Angora EK, Boissier J, Menan H, Rey O, Tuo K, Touré AO, et al. Prevalence and risk factors for schistosomiasis among schoolchildren in two settings of Côte d’Ivoire. Trop Med Infect Dis. 2019;4:110. doi: 10.3390/tropicalmed4030110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Assaré RK, Tian-Bi Y-NT, Yao PK, N’Guessan NA, Ouattara M, Yapi A, et al. Sustaining control of Schistosoma mansoni in western Côte d’Ivoire: results from a SCORE study, one year after initial praziquantel administration. PLoS Negl Trop Dis. 2016;10:e0004329. doi: 10.1371/journal.pntd.0004329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Chammartin F, Houngbedji CA, Hürlimann E, Yapi RB, Silué KD, Soro G, et al. Bayesian risk mapping and model-based estimation of Schistosoma haematobium–Schistosoma mansoni co-distribution in Côte d′Ivoire. PLoS Negl Trop Dis. 2014;8:e3407. doi: 10.1371/journal.pntd.0003407. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Achi YL, Zinsstag J, Yéo N, Dea V, Dorchies PH. Les nématodes gastro-intestinaux des bovins de la région des savanes de la Côte d’Ivoire: enquête d’abattoir. Rev Médecine Vét. 2003;154:105–114. [Google Scholar]
  • 24.Angora EK, Allienne J-F, Rey O, Menan H, Touré AO, Coulibaly JT, et al. High prevalence of Schistosoma haematobium x Schistosoma bovis hybrids in schoolchildren in Côte d’Ivoire. Parasitology. 2019;147:287–294. doi: 10.1017/S0031182019001549. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Tian-Bi Y-NT, Webster B, Konan CK, Allan F, Diakité NR, Ouattara M, et al. Molecular characterization and distribution of Schistosoma cercariae collected from naturally infected bulinid snails in northern and central Côte d’Ivoire. Parasit Vectors. 2019;12:117. doi: 10.1186/s13071-019-3381-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Beesley NJ, Caminade C, Charlier J, Flynn RJ, Hodgkinson JE, Martinez-Moreno A, et al. Fasciola and fasciolosis in ruminants in Europe: identifying research needs. Transbound Emerg Dis. 2018;65:199–216. doi: 10.1111/tbed.12682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Bennema SC, Molento MB, Scholte RG, Carvalho OS, Pritsch I. Modelling the spatial distribution of Fasciola hepatica in bovines using decision tree, logistic regression and GIS query approaches for Brazil. Parasitology. 2017;144:1677–1685. doi: 10.1017/S0031182017000786. [DOI] [PubMed] [Google Scholar]
  • 28.Greter H, Batil AA, Ngandolo BN, Alfaroukh IO, Moto DD, Hattendorf J, et al. Human and livestock trematode infections in a mobile pastoralist setting at Lake Chad: added value of a one health approach beyond zoonotic diseases research. Trans R Soc Trop Med Hyg. 2017;111:278–284. doi: 10.1093/trstmh/trx051. [DOI] [PubMed] [Google Scholar]
  • 29.Malatji MP, Pfukenyi DM, Mukaratirwa S. Fasciola species and their vertebrate and snail intermediate hosts in east and southern Africa: a review. J Helminthol. 2019;94(e63):1–11. doi: 10.1017/S0022149X19000531. [DOI] [PubMed] [Google Scholar]
  • 30.Parkinson M, O’Neill SM, Dalton JP. Endemic human fasciolosis in the Bolivian Altiplano. Epidemiol Infect. 2007;135:669. doi: 10.1017/S095026880600728X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Ichikawa-Seki M, Peng M, Hayashi K, Shoriki T, Mohanta UK, Shibahara T, et al. Nuclear and mitochondrial DNA analysis reveals that hybridization between Fasciola hepatica and Fasciola gigantica occurred in China. Parasitology. 2017;144:206–213. doi: 10.1017/S003118201600161X. [DOI] [PubMed] [Google Scholar]
  • 32.Peng M, Ichinomiya M, Ohtori M, Ichikawa M, Shibahara T, Itagaki T. Molecular characterization of Fasciola hepatica, Fasciola gigantica, and aspermic Fasciola sp. in China based on nuclear and mitochondrial DNA. Parasitol Res. 2009;105:809–815. doi: 10.1007/s00436-009-1459-0. [DOI] [PubMed] [Google Scholar]
  • 33.Wannasan A, Khositharattanakool P, Chaiwong P, Piangjai S, Uparanukraw P, Morakote N. Identification of Fasciola species based on mitochondrial and nuclear DNA reveals the co-existence of intermediate Fasciola and Fasciola gigantica in Thailand. Exp Parasitol. 2014;146:64–70. doi: 10.1016/j.exppara.2014.09.006. [DOI] [PubMed] [Google Scholar]
  • 34.Giovanoli Evack J, Schmidt RS, Boltryk SD, Voss TS, Batil AA, Ngandolo BN, et al. Molecular confirmation of a Fasciola gigantica × Fasciola hepatica hybrid in a Chadian bovine. J Parasitol. 2020;106:316. [DOI] [PubMed]
  • 35.Addy F, Romig T, Wassermann M. Genetic characterisation of Fasciola gigantica from Ghana. Vet Parasitol Reg Stud Rep. 2018;14:106–110. doi: 10.1016/j.vprsr.2018.09.009. [DOI] [PubMed] [Google Scholar]
  • 36.Periago MV, Valero MA, Panova M, Mas-Coma S. Phenotypic comparison of allopatric populations of Fasciola hepatica and Fasciola gigantica from European and African bovines using a computer image analysis system (CIAS) Parasitol Res. 2006;99:368–378. doi: 10.1007/s00436-006-0174-3. [DOI] [PubMed] [Google Scholar]
  • 37.Assogba MN, Youssao AKI. Prévalence de la fasciolose bovine à Fasciola gigantica (Cobbold, 1885) dans les principaux abattoirs du Bénin. Rev Méd Vét. 2001;152:699–704. [Google Scholar]
  • 38.Tembely S, Galvin TJ, Craig TM, Traore S. Liver fluke infections of cattle in Mali. An abattoir survey on prevalence and geographic distribution. Trop Anim Health Prod. 1988;20:117–121. doi: 10.1007/BF02242240. [DOI] [PubMed] [Google Scholar]
  • 39.Adediran OA, Adebiyi AI, Uwalaka EC. Prevalence of Fasciola species in ruminants under extensive management system in Ibadan southwestern Nigeria. Afr J Med Med Sci. 2014;43(Suppl):137–141. [PubMed] [Google Scholar]
  • 40.Shinggu PA, Olufemi OT, Nwuku JA, Baba-Onoja EBT, Iyawa PD. Liver flukes egg infection and associated risk factors in white Fulani cattle slaughtered in Wukari, southern Taraba State, Nigeria. Adv Prev Med. 2019;2019:2671620. doi: 10.1155/2019/2671620. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Dada EO, Jegede SO. Prevalence of fascioliasis and dicrocoeliasis in cattle slaughtered in some abattoirs in Akure Metropolis, Ondo State, Nigeria. Int J Pathog Res. 2019;3:1–7. doi: 10.9734/ijpr/2019/v3i230092. [DOI] [Google Scholar]
  • 42.Magaji AA, Ibrahim K, Salihu MD, Saulawa MA, Mohammed AA, Musawa AI. Prevalence of fascioliasis in cattle slaughtered in Sokoto metropolitan abattoir, Sokoto, Nigeria. Adv Epidemiol. 2014;2014:1–5. doi: 10.1155/2014/247258. [DOI] [Google Scholar]
  • 43.Projecta: Entries -. https://changelog.qgis.org/en/qgis/version/2.16.0/. Accessed 11 Jun 2020.
  • 44.Keyyu JD, Monrad J, Kyvsgaard NC, Kassuku AA. Epidemiology of Fasciola gigantica and amphistomes in cattle on traditional, small-scale dairy and large-scale dairy farms in the southern highlands of Tanzania. Trop Anim Health Prod. 2005;37:303–314. doi: 10.1007/s11250-005-5688-7. [DOI] [PubMed] [Google Scholar]
  • 45.Jean-Richard V, Crump L, Abicho AA, Naré NB, Greter H, Hattendorf J, et al. Prevalence of Fasciola gigantica infection in slaughtered animals in South-Eastern Lake Chad area in relation to husbandry practices and seasonal water levels. BMC Vet Res. 2014;10:81. doi: 10.1186/1746-6148-10-81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Kordshooli MS, Solhjoo K, Armand B, Dowlatkhah H, Jahromi ME. A reducing trend of fasciolosis in slaughtered animals based on abattoir data in south of Iran. Vet World. 2016;10:418–423. doi: 10.14202/vetworld.2017.418-423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Tulu D, Gebeyehu S. Study of prevalence and associated risk factors of bovine fasciolosis in Jimma Horro district of Kellem Wollega zone. Arch Vet Sci Med. 2018;1:009–018. doi: 10.26502/avsm.002. [DOI] [Google Scholar]
  • 48.Phiri AM, Phiri IK, Sikasunge CS, Monrad J. Prevalence of fasciolosis in Zambian cattle observed at selected abattoirs with emphasis on age, sex and origin. J Vet Med Ser B. 2005;52:414–416. doi: 10.1111/j.1439-0450.2005.00872.x. [DOI] [PubMed] [Google Scholar]
  • 49.Keiser J, Engels D, Büscher G, Utzinger J. Triclabendazole for the treatment of fascioliasis and paragonimiasis. Expert Opin Investig Drugs. 2005;14:1513–1526. doi: 10.1517/13543784.14.12.1513. [DOI] [PubMed] [Google Scholar]
  • 50.De Bont J, Vercruysse J. The epidemiology and control of cattle schistosomiasis. Parasitol Today. 1997;13:255–62. [DOI] [PubMed]
  • 51.Odigie BE, Odigie JO. Fascioliasis in cattle: a survey of abattoirs in Egor, Ikpoba-Okha and Oredo local government areas of Edo state, using histochemical techniques. Int J Basic Appl Innov Res. 2013;2:1–9. [Google Scholar]
  • 52.Melkamu S. Study on prevalence and associated risk factors of bovine and human schistosomiasis in Bahir Dar and its surrounding areas. J Anim Res. 2016;6:967–975. doi: 10.5958/2277-940X.2016.00139.X. [DOI] [Google Scholar]
  • 53.Chanie M, Dejen B, Fentahun T. Prevalence of cattle schistosomiasis and associated risk factors in fogera cattle, South Gondar zone, Amhara National Regional State, Ethiopia. J Adv Vet Res. 2012;2:153–156. [Google Scholar]
  • 54.Setargew M, Fentahun T, Chanie M. Prevalence of bovine shistosomiasis in Fogera district, South Gondar zone, Amhara National Regional State, Northwest Ethiopia. Glob Vet. 2012;9:612–616. [Google Scholar]
  • 55.Nzalawahe J, Kassuku AA, Stothard JR, Coles GC, Eisler MC. Associations between trematode infections in cattle and freshwater snails in highland and lowland areas of Iringa Rural District, Tanzania. Parasitology. 2015;142:1430–1439. doi: 10.1017/S0031182015000827. [DOI] [PubMed] [Google Scholar]
  • 56.Nzalawahe J, Kassuku AA, Stothard JR, Coles GC, Eisler MC. Trematode infections in cattle in Arumeru District, Tanzania are associated with irrigation. Parasit Vectors. 2014;7:107. doi: 10.1186/1756-3305-7-107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Portugaliza HP, Balaso IMC, Descallar JCB, Lañada EB. Prevalence, risk factors, and spatial distribution of Fasciola in carabao and intermediate host in Baybay, Leyte, Philippines. Vet Parasitol Reg Stud Rep. 2019;15:100261. doi: 10.1016/j.vprsr.2018.100261. [DOI] [PubMed] [Google Scholar]
  • 58.Zewde A, Bayu Y, Wondimu A. Prevalence of bovine fasciolosis and its economic loss due to liver condemnation at Wolaita Sodo municipal abattoir, Ethiopia. Vet Med Int. 2019;2019:9572373. doi: 10.1155/2019/9572373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Yatswako S, Alhaji NB. Survey of bovine fasciolosis burdens in trade cattle slaughtered at abattoirs in north-Central Nigeria: the associated predisposing factors and economic implication. Parasite Epidemiol Control. 2017;2:30–39. doi: 10.1016/j.parepi.2017.02.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Mungube EO, Bauni SM, Tenhagen BA, Wamae LW, Nginyi JM, Mugambi JM. The prevalence and economic significance of Fasciola gigantica and Stilesia hepatica in slaughtered animals in the semi-arid coastal Kenya. Trop Anim Health Prod. 2006;38:475–483. doi: 10.1007/s11250-006-4394-4. [DOI] [PubMed] [Google Scholar]
  • 61.Krauth SJ, Wandel N, Traoré SI, Vounatsou P, Hattendorf J, Achi LY, et al. Distribution of intermediate host snails of schistosomiasis and fascioliasis in relation to environmental factors during the dry season in the Tchologo region, Côte d’Ivoire. Adv Water Resour. 2017;108:386–396. doi: 10.1016/j.advwatres.2016.11.016. [DOI] [Google Scholar]
  • 62.Cecchi P, Baldé S, Yapi YG. Mollusques hôtes intermédiaires de bilharzioses dans les petits barrages. In: L’eau en partage, les petits barrages de Côte d’Ivoire. Paris, France: IRD Editions; 2007. pp. 175–189. [Google Scholar]
  • 63.Diaw OT, Vassiliades G, Thiongane Y, Seye M, Sarr Y, Diouf A. Extension des trématodoses du bétail après la construction des barrages dans le bassin du fleuve Sénégal. Rev D’élevage Médecine Vét Pays Trop. 1998;51:113–120. [Google Scholar]
  • 64.Yapi YG, Briët OJT, Diabate S, Vounatsou P, Akodo E, Tanner M, et al. Rice irrigation and schistosomiasis in savannah and forest areas of Côte d’Ivoire. Acta Trop. 2005;93:201–211. doi: 10.1016/j.actatropica.2004.11.005. [DOI] [PubMed] [Google Scholar]
  • 65.Pfukenyi DM, Mukaratirwa S, Willingham AL, Monrad J. Epidemiological studies of Fasciola gigantica infections in cattle in the highveld and lowveld communal grazing areas of Zimbabwe. Onderstepoort J Vet Res. 2006;73:37–51. [PubMed] [Google Scholar]
  • 66.Pfukenyi DM, Monrad J, Mukaratirwa S. Epidemiology and control of trematode infections in cattle in Zimbabwe: a review. J S Afr Vet Assoc. 2005;76:9–17. doi: 10.4102/jsava.v76i1.387. [DOI] [PubMed] [Google Scholar]
  • 67.Mas-Coma S, Bargues MD, Valero MA. Diagnosis of human fascioliasis by stool and blood techniques: update for the present global scenario. Parasitology. 2014;141:1918–1946. doi: 10.1017/S0031182014000869. [DOI] [PubMed] [Google Scholar]
  • 68.Valero MA, Panova M, Pérez-Crespo I, Khoubbane M, Mas-Coma S. Correlation between egg-shedding and uterus development in Fasciola hepatica human and animal isolates: applied implications. Vet Parasitol. 2011;183:79–86. doi: 10.1016/j.vetpar.2011.07.003. [DOI] [PubMed] [Google Scholar]
  • 69.Valero MA, Panova M, Comes AM, Fons R, Mas-Coma S. Patterns in size and shedding of Fasciola hepatica eggs by naturally and experimentally infected murid rodents. J Parasitol. 2002;88:308–313. doi: 10.1645/0022-3395(2002)088[0308:PISASO]2.0.CO;2. [DOI] [PubMed] [Google Scholar]
  • 70.Giovanoli Evack J, Kouadio JN, Achi L, Balmer O, Hattendorf J, Bonfoh B, et al. Accuracy of the sedimentation and filtration methods for the diagnosis of schistosomiasis in cattle. Parasitol Res. 2020;119:1707–1712. doi: 10.1007/s00436-020-06660-0. [DOI] [PubMed] [Google Scholar]
  • 71.Jones MK, Bong SH, Green KM, Holmes P, Duke M, Loukas A, et al. Correlative and dynamic imaging of the hatching biology of Schistosoma japonicum from eggs prepared by high pressure freezing. PLoS Negl Trop Dis. 2008;2:e334. doi: 10.1371/journal.pntd.0000334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Lawrence JA. Schistosoma mattheei in sheep: the host-parasite relationship. Res Vet Sci. 1974;17:263–264. doi: 10.1016/S0034-5288(18)33695-6. [DOI] [PubMed] [Google Scholar]
  • 73.Chakiso B, Menkir S, Desta M. On farm study of bovine fasciolosis in Lemo district and its economic loss due to liver condemnation at Hossana municipal abattoir, southern Ethiopia. Int J Curr Microbiol Appl Sci. 2014;3:1122–1132. [Google Scholar]
  • 74.Isah UM. Studies on the prevalence of fascioliasis among ruminant animals in northern Bauchi state, North-Eastern Nigeria. Parasite Epidemiol Control. 2019;5:e00090. doi: 10.1016/j.parepi.2019.e00090. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Gboeloh LB. Seasonal prevalence of Fasciola gigantica in slaughtered cattle in major abattoirs in Port Harcourt. Adv Agric Sci Eng Res. 2012;2:336–340. [Google Scholar]
  • 76.Oladele-Bukola MO, Odetokun IA. Prevalence of bovine fasciolosis at the Ibadan municipal abattoir, Nigeria. Afr J Food Agric Nutr Dev. 2014;14:9055–9077. [Google Scholar]
  • 77.Cecchi P, Gourdin F, Koné S, Corbin D, Etienne J, Casenave A. Les petits barrages du nord de la Côte d’Ivoire : inventaire et potentialités hydrologiques. Sécheresse. 2009;20:112–122. doi: 10.1684/sec.2009.0164. [DOI] [Google Scholar]
  • 78.Thrusfield M. Veterinary epidemiology. Fourth edition. John Wiley & Sons. 2018. [Google Scholar]
  • 79.Sirois M. Principles and practice of veterinary technology, 4th edition. 4th edition. St. Louis, Missouri. USA: Elsevier; 2017. [Google Scholar]
  • 80.R Core Team . R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2019. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

12917_2020_2667_MOESM1_ESM.pdf (252.3KB, pdf)

Additional file 1. Climate diagram of the northern (a), central (b), southern (c) and western (d) areas of Côte d’Ivoire in 2018.

Data Availability Statement

The datasets used and/or analysed during the current study are available from Dr. Oliver Balmer on reasonable request.


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