Rob van Hest Capture-recapture Methods in Surveillance - RePub ...
Rob van Hest Capture-recapture Methods in Surveillance - RePub ...
Rob van Hest Capture-recapture Methods in Surveillance - RePub ...
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Disease Authors Objective Method Data-source Outcome<br />
The number of measles deaths was estimated at<br />
259 (95%CI 244-274), result<strong>in</strong>g <strong>in</strong> a<br />
completeness of report<strong>in</strong>g of 64% for the<br />
health statistics and of 71% for the surveillance<br />
1. National centre for health statistics<br />
(death certificates)<br />
Two-source CRC<br />
model<br />
2. National measles surveillance<br />
system<br />
Measles G<strong>in</strong>dler et al41 To estimate the number of deaths<br />
due to measles and the efficiency of<br />
two report<strong>in</strong>g systems <strong>in</strong> the USA,<br />
1987-2002<br />
system<br />
The number of bacterial men<strong>in</strong>gitis cases was<br />
estimated at 236 (95%CI 206-306), result<strong>in</strong>g <strong>in</strong><br />
a completeness of report<strong>in</strong>g for the<br />
notification, laboratory and hospitals discharge<br />
systems of 57%, 77% and 40% respectively<br />
1. Mandatory notifiable disease<br />
surveillance system<br />
2. Voluntary hospital laboratorybased<br />
surveillance system<br />
3. Hospital discharge code registry<br />
Three-source logl<strong>in</strong>ear<br />
CRC model<br />
Faust<strong>in</strong>i et al42 To estimate the <strong>in</strong>cidence of bacterial<br />
men<strong>in</strong>gitis and to assess the quality<br />
of the surveillance systems <strong>in</strong> the<br />
Lazio Region, Italy, 1995-1996<br />
Men<strong>in</strong>gitis,<br />
bacterial<br />
The sensitivity of the notification system was<br />
84.9% after record-l<strong>in</strong>kage and after CRC<br />
analysis case-ascerta<strong>in</strong>ment was estimated at<br />
98.1%<br />
1. Mandatory notifiable disease<br />
surveillance system<br />
2. Laboratory survey<br />
3. Hospital <strong>in</strong>formation registry<br />
Three-source logl<strong>in</strong>ear<br />
CRC model<br />
To evaluate the exhaustiveness of<br />
three <strong>in</strong>formation sources on<br />
men<strong>in</strong>gococcal disease <strong>in</strong> Tenerife,<br />
Spa<strong>in</strong>, 1999-2001<br />
Izquierdo<br />
Carreno et al43 Men<strong>in</strong>gitis,<br />
men<strong>in</strong>gococcal<br />
The completeness of men<strong>in</strong>gococcal disease<br />
notification was estimated at 94.8% (95%CI<br />
1. Notification database<br />
2. Laboratory reports database<br />
3. Hospital discharge codes database<br />
Three-source logl<strong>in</strong>ear<br />
CRC model<br />
Breen et al44 To assess the completeness of<br />
men<strong>in</strong>gococcal disease notification <strong>in</strong><br />
South Cheshire Health Authority,<br />
UK, 1999-2001<br />
Men<strong>in</strong>gitis,<br />
men<strong>in</strong>gococcal<br />
93.2-96.2%)<br />
The completeness of notifications at the<br />
national reference centre for men<strong>in</strong>gococci was<br />
1. National reference ccntre for<br />
men<strong>in</strong>gococci<br />
Two-source CRC<br />
model<br />
Berghold et al45 To assess the completeness of<br />
national surveillance data on <strong>in</strong>vasive<br />
men<strong>in</strong>gococcal disease <strong>in</strong> Austria <strong>in</strong><br />
2002<br />
Men<strong>in</strong>gitis,<br />
men<strong>in</strong>gococcal<br />
estimated at 87.4%<br />
2. Hospital episode database