Brucellosis in dairy herds: a public health concern in the milk supply chains of West and Central Africa

Autor: Haladou Gagara, Adama Fane, Amah Akpemdo Paul-Henri Siméon Ayih-Akakpo, Damitoti Yempabou, Jean Marc Kameni Feussom, Mohamed-Moctar Mouiche-Mouliom, Javier Guitian, Adama Doumbia, Jean-Bosco Ntirandekura, Pindemnewe Pato, Cha-Ah Crystella Ngong, Désiré Ntakirutimana, Punam Mangtani, Magnoudewa Pali, Rrianatou Alambédji-Bada, Bhagyalakshmi Chengat Prakashbabu, Andrée Prisca Ndjoug Ndour, Germaine Minougou Compaore, Aïda Issaka Garba, Elisabeth Dembele, John McGiven, Müller Fotsac Dzousse, Patrick Nguipdop-Djomo, Imadidden Musallam, Emi A. Takahashi, Ayayi Justin Akakpo, Laura Craighead, Arnaud S. R. Tapsoba
Jazyk: angličtina
Předmět:
Zdroj: Acta Tropica
ISSN: 0001-706X
Popis: Highlights • Brucellosis is endemically established among dairy herds in West and Central Africa. • Brucella spp. infection is present at high levels in dairy herds in Lomé and Bamako. • Brucellosis poses a public health concern in dairy chains of West and Central Africa. • Brucellosis control programs are urgently needed in West and Central Africa.
Ten herd-level cross-sectional studies were conducted in peri-urban dairy production areas of seven West and Central African countries (Burkina Faso, Burundi, Cameroon, Mali, Niger, Senegal and Togo). The objectives were to estimate herd level Brucella spp. seroprevalence and identify risk factors for seropositivity. In each of the ten study areas, herds (between 52 and 142 per area, total = 965) were selected probabilistically and a structured questionnaire was administered to gather information on their structure and management. A bulk milk sample from each herd was tested by indirect ELISA for Brucella spp. For each area, herd seroprevalence estimates were obtained after adjusting for the assumed performance of the diagnostic test. Herd level risk factors for Brucella spp. seropositivity were identified by means of stratified logistic regression, with each peri-urban zone as a stratum. Area-specific models were also explored. Estimated herd seroprevalences were: Lomé (Togo) 62.0% (95% CI:55.0–69.0), Bamako (Mali) 32.5% (95% CI:28.0–37.0), Bujumbura (Burundi) 14.7% (95%CI:9.4–20.8), Bamenda (Cameroon) 12.6% (95% CI:7.6–21.9), Ouagadougou (Burkina Faso) 3.0% (95% CI:1.0–9.1), Ngaoundere (Cameroon) 2.3% (95% CI:1.0–7.0), Thies (Senegal) 1.3% (95% CI:0.1, 5.3), Niamey (Niger) 1.2% (95% CI:0.08-5.3), Dakar (Senegal) 0.2% (95% CI:0.01–1.7) and Niakhar (Senegal)
Databáze: OpenAIRE