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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

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