Geographic Influences on the Uptake of Infant Immunisations

1. Concepts, Models, and Aggregate Analyses

Bibliographic Data

ID4140141
AuthorsM L Senior (0000-0002-4907-9798, University of Salford), J New (0009-0003-0486-4244), S J New (Department of Applied Social Science, University of Lancaster, Lancaster LA1 4YW, England), Anthony C Gatrell (0000-0001-7017-1014, Lancaster University Ghana), Brian Francis (0000-0001-7926-9085, Lancaster University Ghana), B J Francis (Centre for Applied Statistics, University of Lancaster, Lancaster LA1 4YF, England)
Year1993
Volume25
Issue3
Pages425-436
Publication date1993-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a250425
OpenAlexW2116915152
LanguageEN
Citations received3
References cited19

This is the first of two papers in which the effects on the uptake of immunisation of transport, time-space, and gender-role constraints, among a wider range of influences, are assessed statistically. A critique of a paper by Jarman et al leads to the formulation of an improved conceptual and statistical framework for analyses of uptake. Within this framework, the possibility of explaining immunisation uptake by using readily available data at the District Health Authority scale is reevaluated. Results suggest that analyses solely at this highly aggregate scale are plagued by the statistical problem of overdispersion, and cannot provide reliable explanations of uptake. Rather, it is argued, disaggregate or, preferably, multilevel analyses are required. Such analyses form the subject matter of the second paper

Aggregate data · Cartography · Econometrics · Geography · Multilevel model · Overdispersion · Sociology · Statistics · Subject matter · Computer Science · COVID-19 epidemiological studies · Demography · Homelessness and Social Issues · Mathematics · Psychology · Smoking Behavior and Cessation