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an epidemiological study of listeriosis in dairy cattle

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All data were numerically coded, entered onto a database (Micros<strong>of</strong>t Access 2,<br />

Simpson 1994) <strong>an</strong>d <strong>an</strong>alysed us<strong>in</strong>g Epi-<strong>in</strong>fo version 6 (De<strong>an</strong> <strong>an</strong>d others 1994). A Yates<br />

corrected chi squared test was used to compare the differences between proportions. A<br />

Kruskal-Wallis test was used to compare the differences between medi<strong>an</strong> values (De<strong>an</strong> <strong>an</strong>d<br />

others 1994). A probability <strong>of</strong> p< 0.05 was accepted as statistically signific<strong>an</strong>t.<br />

2. 3. Results:<br />

2. 3. 1. Response rate:<br />

Of the 1500 <strong>dairy</strong> <strong>cattle</strong> farmers, 961 returned questionnaires, giv<strong>in</strong>g <strong>an</strong> overall<br />

response rate <strong>of</strong> 64.1%. 67 <strong>of</strong> the 961 questionnaires were returned un<strong>an</strong>swered because the<br />

farmers no longer kept <strong>dairy</strong> <strong>cattle</strong> (36 farms) or were unwill<strong>in</strong>g to take part <strong>in</strong> the <strong>study</strong>.<br />

These were removed from the <strong>study</strong> leav<strong>in</strong>g 61.1% usable questionnaires (894/1464).<br />

2. 3. 2. The prevalence <strong>of</strong> <strong>listeriosis</strong> at farm level:<br />

Respondents who did not know whether they had cl<strong>in</strong>ical <strong>listeriosis</strong> <strong>in</strong> <strong>an</strong>y <strong>of</strong> the<br />

groups <strong>of</strong> <strong>dairy</strong> <strong>cattle</strong> were removed from <strong>an</strong>alysis. 12.3% (93/759) reported cl<strong>in</strong>ical<br />

<strong>listeriosis</strong> <strong>in</strong> <strong>dairy</strong> <strong>cattle</strong> on their farms between July 1994 <strong>an</strong>d June 1995 . Cases were<br />

diagnosed by a veter<strong>in</strong>ary surgeon or V.I.C. on 83.9% (78/93) <strong>of</strong> the affected farms. When<br />

the overall proportion <strong>of</strong> farms affected was estimated us<strong>in</strong>g only cases diagnosed by a<br />

veter<strong>in</strong>ari<strong>an</strong> or V.I.C., the proportion was 10.3%. This was not statistically different from<br />

that <strong>of</strong> 12.3% (P=0.2).<br />

50

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