Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods

Gibbons CL, Mangen M-JJ, Plaß D, Havelaar AH, Brooke RJ, Kramarz P, Peterson KL, Stuurman AL, Cassini A, Fevre EM, Kretzschmar MEE (2014)
BMC Public Health 14.

Journal Article | Published | English

No fulltext has been uploaded

Author
; ; ; ; ; ; ; ; ; ;
Abstract
Background: Efficient and reliable surveillance and notification systems are vital for monitoring public health and disease outbreaks. However, most surveillance and notification systems are affected by a degree of underestimation (UE) and therefore uncertainty surrounds the 'true' incidence of disease affecting morbidity and mortality rates. Surveillance systems fail to capture cases at two distinct levels of the surveillance pyramid: from the community since not all cases seek healthcare (under-ascertainment), and at the healthcare-level, representing a failure to adequately report symptomatic cases that have sought medical advice (underreporting). There are several methods to estimate the extent of under-ascertainment and underreporting. Methods: Within the context of the ECDC-funded Burden of Communicable Diseases in Europe (BCoDE)-project, an extensive literature review was conducted to identify studies that estimate ascertainment or reporting rates for salmonellosis and campylobacteriosis in European Union Member States (MS) plus European Free Trade Area (EFTA) countries Iceland, Norway and Switzerland and four other OECD countries (USA, Canada, Australia and Japan). Multiplication factors (MFs), a measure of the magnitude of underestimation, were taken directly from the literature or derived (where the proportion of underestimated, under-ascertained, or underreported cases was known) and compared for the two pathogens. Results: MFs varied between and within diseases and countries, representing a need to carefully select the most appropriate MFs and methods for calculating them. The most appropriate MFs are often disease-,country-, age-, and sex-specific. Conclusions: When routine data are used to make decisions on resource allocation or to estimate epidemiological parameters in populations, it becomes important to understand when, where and to what extent these data represent the true picture of disease, and in some instances (such as priority setting) it is necessary to adjust for underestimation. MFs can be used to adjust notification and surveillance data to provide more realistic estimates of incidence.
Publishing Year
ISSN
PUB-ID

Cite this

Gibbons CL, Mangen M-JJ, Plaß D, et al. Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods. BMC Public Health. 2014;14.
Gibbons, C. L., Mangen, M. - J. J., Plaß, D., Havelaar, A. H., Brooke, R. J., Kramarz, P., Peterson, K. L., et al. (2014). Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods. BMC Public Health, 14.
Gibbons, C. L., Mangen, M. - J. J., Plaß, D., Havelaar, A. H., Brooke, R. J., Kramarz, P., Peterson, K. L., Stuurman, A. L., Cassini, A., Fevre, E. M., et al. (2014). Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods. BMC Public Health 14.
Gibbons, C.L., et al., 2014. Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods. BMC Public Health, 14.
C.L. Gibbons, et al., “Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods”, BMC Public Health, vol. 14, 2014.
Gibbons, C.L., Mangen, M.-J.J., Plaß, D., Havelaar, A.H., Brooke, R.J., Kramarz, P., Peterson, K.L., Stuurman, A.L., Cassini, A., Fevre, E.M., Kretzschmar, M.E.E.: Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods. BMC Public Health. 14, (2014).
Gibbons, Cheryl L., Mangen, Marie-Josee J., Plaß, Dietrich, Havelaar, Arie H., Brooke, Russell John, Kramarz, Piotr, Peterson, Karen L., Stuurman, Anke L., Cassini, Alessandro, Fevre, Eric M., and Kretzschmar, Mirjam E. E. “Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods”. BMC Public Health 14 (2014).
This data publication is cited in the following publications:
This publication cites the following data publications:

8 Citations in Europe PMC

Data provided by Europe PubMed Central.

Underreporting of hepatitis A in non-endemic countries: a systematic review and meta-analysis.
Savage RD, Rosella LC, Brown KA, Khan K, Crowcroft NS., BMC Infect. Dis. 16(), 2016
PMID: 27297559
Economic Costs of Measles Outbreak in the Netherlands, 2013-2014.
Suijkerbuijk AW, Woudenberg T, Hahne SJ, Nic Lochlainn L, de Melker HE, Ruijs WL, Lugner AK., Emerging Infect. Dis. 21(11), 2015
PMID: 26488199
A decade of norovirus disease risk among older adults in upper-middle and high income countries: a systematic review.
Lindsay L, Wolter J, De Coster I, Van Damme P, Verstraeten T., BMC Infect. Dis. 15(), 2015
PMID: 26467099
Meta-genomic analysis of toilet waste from long distance flights; a step towards global surveillance of infectious diseases and antimicrobial resistance.
Nordahl Petersen T, Rasmussen S, Hasman H, Caroe C, Bælum J, Schultz AC, Bergmark L, Svendsen CA, Lund O, Sicheritz-Ponten T, Aarestrup FM., Sci Rep 5(), 2015
PMID: 26161690
Under-reporting of notifiable infectious disease hospitalizations: significant improvements in the Irish context.
Brabazon ED, Sheridan A, Finnegan P, Carton MW, Bedford D., Epidemiol. Infect. 143(6), 2015
PMID: 25035904
Global burden of listeriosis: the tip of the iceberg.
Leclercq A, Charlier C, Lecuit M., Lancet Infect Dis 14(11), 2014
PMID: 25241231

123 References

Data provided by Europe PubMed Central.

Completeness and timeliness of tuberculosis case reporting. A multistate study.
Curtis AB, McCray E, McKenna M, Onorato IM., Am J Prev Med 20(2), 2001
PMID: 11165451
Long time trends in influenza-like illness and associated determinants in The Netherlands.
Dijkstra F, Donker GA, Wilbrink B, Van Gageldonk-Lafeber AB, Van Der Sande MA., Epidemiol. Infect. 137(4), 2009
PMID: 18789176
An evidence synthesis approach to estimating the incidence of seasonal influenza in the Netherlands.
McDonald SA, Presanis AM, De Angelis D, van der Hoek W, Hooiveld M, Donker G, Kretzschmar ME., Influenza Other Respir Viruses 8(1), 2014
PMID: 24209610
The global burden of measles in the year 2000--a model that uses country-specific indicators.
Stein CE, Birmingham M, Kurian M, Duclos P, Strebel P., J. Infect. Dis. 187 Suppl 1(), 2003
PMID: 12721886
Estimates of the burden of foodborne illness in Canada for 30 specified pathogens and unspecified agents, circa 2006.
Thomas MK, Murray R, Flockhart L, Pintar K, Pollari F, Fazil A, Nesbitt A, Marshall B., Foodborne Pathog. Dis. 10(7), 2013
PMID: 23659355
Population-based HIV-1 incidence in France, 2003-08: a modelling analysis.
Le Vu S, Le Strat Y, Barin F, Pillonel J, Cazein F, Bousquet V, Brunet S, Thierry D, Semaille C, Meyer L, Desenclos JC., Lancet Infect Dis 10(10), 2010
PMID: 20832367
Reducing the burden of sexually transmitted infections in resource-limited settings: the role of improved diagnostics.
Aledort JE, Ronald A, Rafael ME, Girosi F, Vickerman P, Le Blancq SM, Landay A, Holmes K, Ridzon R, Hellmann N, Shea MV, Peeling RW., Nature 444 Suppl 1(), 2006
PMID: 17159895
Cost-effectiveness analysis of hepatitis A vaccination strategies for adults.
O'Connor JB, Imperiale TF, Singer ME., Hepatology 30(4), 1999
PMID: 10498662
A Bayesian evidence synthesis for estimating campylobacteriosis prevalence.
Albert I, Espie E, de Valk H, Denis JB., Risk Anal. 31(7), 2011
PMID: 21231950
Factors affecting surveillance data on Escherichia coli O157 infections collected from FoodNet sites, 1996-1999.
Bender JB, Smith KE, McNees AA, Rabatsky-Ehr TR, Segler SD, Hawkins MA, Spina NL, Keene WE, Kennedy MH, Van Gilder TJ, Hedberg CW; Emerging Infections Program FoodNet Working Group., Clin. Infect. Dis. 38 Suppl 3(), 2004
PMID: 15095185
Bayesian modeling to unmask and predict influenza A/H1N1pdm dynamics in London.
Birrell PJ, Ketsetzis G, Gay NJ, Cooper BS, Presanis AM, Harris RJ, Charlett A, Zhang XS, White PJ, Pebody RG, De Angelis D., Proc. Natl. Acad. Sci. U.S.A. 108(45), 2011
PMID: 22042838
Changes in severity of 2009 pandemic A/H1N1 influenza in England: a Bayesian evidence synthesis.
Presanis AM, Pebody RG, Paterson BJ, Tom BD, Birrell PJ, Charlett A, Lipsitch M, De Angelis D., BMJ 343(), 2011
PMID: 21903689
The disease burden of hepatitis B in Uzbekistan.
Beutels P, Musabaev EI, Van Damme P, Yasin T., J. Infect. 40(3), 2000
PMID: 10908017
Assessment of the underestimation of childhood diarrhoeal disease burden in Israel.
Ziv T, Heymann AD, Azuri J, Leshno M, Cohen D., Epidemiol. Infect. 139(9), 2011
PMID: 21087537
Burden of self-reported acute diarrheal illness in FoodNet surveillance areas, 1998-1999.
Imhoff B, Morse D, Shiferaw B, Hawkins M, Vugia D, Lance-Parker S, Hadler J, Medus C, Kennedy M, Moore MR, Van Gilder T; Emerging Infections Program FoodNet Working Group., Clin. Infect. Dis. 38 Suppl 3(), 2004
PMID: 15095193
A population-based estimate of the burden of diarrhoeal illness in the United States: FoodNet, 1996-7.
Herikstad H, Yang S, Van Gilder TJ, Vugia D, Hadler J, Blake P, Deneen V, Shiferaw B, Angulo FJ., Epidemiol. Infect. 129(1), 2002
PMID: 12211601
A comparison of gastroenteritis in a general practice-based study and a community-based study.
de Wit MA, Kortbeek LM, Koopmans MP, de Jager CJ, Wannet WJ, Bartelds AI, van Duynhoven YT., Epidemiol. Infect. 127(3), 2001
PMID: 11811870
Pneumococcal disease surveillance in Europe.
Pebody RG, Hellenbrand W, D'Ancona F, Ruutu P; European Union funded Pnc-EURO contributing group., Euro Surveill. 11(9), 2006
PMID: 17075159

AUTHOR UNKNOWN, 1994
Miscoding and misclassification of ischaemic heart disease mortality
AUTHOR UNKNOWN, 2001
Under-reporting of notifiable infectious disease hospitalizations in a health board region in Ireland: room for improvement?
Brabazon ED, O'Farrell A, Murray CA, Carton MW, Finnegan P., Epidemiol. Infect. 136(2), 2008
PMID: 17394674

Export

0 Marked Publications

Open Data PUB

Web of Science

View record in Web of Science®

Sources

PMID: 24517715
PubMed | Europe PMC

Search this title in

Google Scholar