| Titre : | Selection of Neighborhood Controls for a Population-Based Lyme Disease Case-Control Study by Using a Commercial Marketing Database (2013) |
| Auteurs : | Neeta-P CONNALLY ; Connecticut Emerging Infections Program, Yale School of Public Health (New Haven CT, Etats-Unis) ; Kimberly YOUSEY-HINDES ; James MEEK |
| Type de document : | Article |
| Dans : | American journal of epidemiology (vol. 178, n° 2, 2013) |
| Pagination : | 276-279 |
| Langues: | Anglais |
| Mots-clés : | Sélection ; Contrôle ; Surveillance ; Population ; Enquête cas témoin ; Epidémiologie ; Commercialisation ; Collecte information ; Méthodologie ; Téléphone ; Bactériose ; Infection |
| Résumé : | [BDSP. Notice produite par INIST-CNRS 8H8R0xnr. Diffusion soumise à autorisation]. The selection of controls is an important methodological consideration for case-control studies. Neighborhood-matched control selection is particularly crucial for studies of vector-borne disease, such as Lyme disease, for which risk is intrinsically linked to geographical location. The matching of case-control pairs on neighborhood can help control for variation in ecological risk factors that are tied to geographical location, like vector and host habitat in the peridomestic environment. Random-digit dialing has been used to find neighborhood controls by using the area code and exchange of the case to generate lists of potential control households. An alternative to random-digit dialing is the purchase of residential telephone numbers from a commercial marketing database. This report describes the utility of the InfoUSA. com (InfoGroup, Papillion, Nebraska) commercial marketing database for neighborhood control recruitment in a Lyme disease case-control study in Connecticut during 2005-2007. |
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