| Literature DB >> 33203412 |
Jules N Kouadio1,2,3,4, Jennifer Giovanoli Evack5,6, Louise Y Achi7,8, Dominik Fritsche9, Mamadou Ouattara10,7, Kigbafori D Silué10,7, Bassirou Bonfoh7, Jan Hattendorf5,6, Jürg Utzinger5,6, Jakob Zinsstag5,6, Oliver Balmer5,6, Eliézer K N'Goran10,7.
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.Entities:
Keywords: Cross-sectional survey; Côte d’Ivoire; Epidemiology; Fasciola; Livestock; Schistosoma
Mesh:
Year: 2020 PMID: 33203412 PMCID: PMC7672978 DOI: 10.1186/s12917-020-02667-y
Source DB: PubMed Journal: BMC Vet Res ISSN: 1746-6148 Impact factor: 2.741
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 | N | N | |||||||||||||
| 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, n Number of infected animals, CI Confidence interval
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 | ||||||
|---|---|---|---|---|---|---|---|
| Infected | Multiple OR | 95% CI | Infected | 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, n Number of infected animals, CI Confidence interval, OR Odds ratio
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 | N | N | |||||||||||||
| 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, n Number of infected animals, CI Confidence interval
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 | ||||||
|---|---|---|---|---|---|---|---|
| Infected | Multiple OR | 95% CI | Infected | 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, n Number of infected animals, CI Confidence interval, ND Not determined because of low number of infected individuals in several categories, OR Odds ratio
Fig. 1Map 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
Fig. 3Schistosoma flukes in mesenteric veins of the small intestine (a) and a Fasciola fluke in a cattle liver (b)
Fig. 2Map 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