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Open Access Research article

Heterogeneity in regional notification patterns and its impact on aggregate national case notification data: the example of measles in Italy

John R Williams12*, Piero Manfredi1, Alisa R Butler2, Marta Ciofi degli Atti3 and Stefania Salmaso3

Author Affiliations

1 Dipartimento di Statistica e Matematica Applicata all'Economia, Università di Pisa, Via C Ridolfi, 10, 56124 Pisa, Italy

2 Department of Infectious Disease Epidemiology, Division of Primary Care & Population Health Sciences, Faculty of Medicine, Imperial College London, Norfolk Place, W2 1PG, London, U.K

3 Istituto Superiore di Sanità, Viale Regina Elena, 98, 00161 Rome, Italy

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BMC Public Health 2003, 3:23  doi:10.1186/1471-2458-3-23

Published: 18 July 2003

Abstract

Background

A monthly time series of measles case notifications exists for Italy from 1949 onwards, although its usefulness is seriously undermined by extensive under-reporting which varies strikingly between regions, giving rise to the possibility of significant distortions in epidemic patterns seen in aggregated national data.

Results

A corrected national time series is calculated using an algorithm based upon the approximate equality between births and measles cases; under-reporting estimates are presented for each Italian region, and poor levels of reporting in Southern Italy are confirmed.

Conclusion

Although an order of magnitude larger, despite great heterogeneity between regions in under-reporting and in epidemic patterns, the shape of the corrected national time series remains close to that of the aggregated uncorrected data. This suggests such aggregate data may be quite robust to great heterogeneity in reporting and epidemic patterns at the regional level. The corrected data set maintains an epidemic pattern distinct from that of England and Wales.