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Detection of trichinellosis in a historically Trichinella-free area of Argentina
Authors:Susana N Costantino  Natalia Sosa  Marcela A Calcagno  Maria A Forastiero  Sergio P Farabello  Maria R Taus  Stella M Venturiello
Institution:1. Faculty of Pharmacy and Biochemistry, University of Buenos Aires (UBA), Humoral Studies Institute (IDEHU), CONICET, Junín 956, 1113 Buenos Aires, Argentina;2. Faculty of Dietetics, National University of Entre Ríos (UNER), Perón 64, Gualeguaychú, 2820 Entre Ríos, Argentina
Abstract:The aim of the present work was to determine the presence of human and porcine trichinellosis in an area of Argentina historically regarded as Trichinella-free. Human blood donors (n = 216) and swine destined for consumption (n = 57) were evaluated by serological techniques (ELISA, immunofluorescence, and/or Western Blot). Muscle tissues from 26 of the pigs were evaluated for the presence of Trichinella larvae by the artificial digestion method. A questionnaire was used to collect and evaluate data on eating habits of the human population under study and on swine-raising conditions. The survey showed that 98.1% of the individuals (n = 212) were regular consumers of pork in the form of stuffed products such as sausages produced by local butchers. The seroprevalence (positive sera by at least two of the three methods) was 8.3% (n = 18) for human trichinellosis and 24.5% (n = 14) for porcine trichinellosis. Trichinella spiralis larvae were found in 2 of the 26 pigs (7.7%) with parasite loads of 0.33 and 2.4 muscle larvae per gram. Twelve swine found positive by serological and/or parasitological tests were raised under poor sanitary conditions (presence of rubbish in the surroundings, with cannibalism and scavenging behaviors, presence of rodents, etc.). Our study confirms the existence of porcine trichinellosis in an area regarded as Trichinella-free, provides supporting serological evidence of human infection in this area, and indicates that failure to report cases of trichinellosis based on inadequate surveillance can result in incorrect prevalence classification of an area.
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