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. 2012;9(4):e1001205.
doi: 10.1371/journal.pmed.1001205. Epub 2012 Apr 17.

New methodology for estimating the burden of infectious diseases in Europe

Collaborators, Affiliations

New methodology for estimating the burden of infectious diseases in Europe

Mirjam Kretzschmar et al. PLoS Med. 2012.

Abstract

Mirjam Kretzschmar and colleagues describe the BCoDE project, which uses a pathogen-based incidence approach to better estimate the infectious disease burden in Europe.

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Conflict of interest statement

MJM received funding for a related tender by ECDC. AH and EF are members of the World Health Organization's Foodborne Disease Burden Epidemiology Reference Group (FERG). AC and PK are employed by the European Centre for Disease Prevention and Control (ECDC, http://www.ecdc.europa.eu) and ECDC provided a grant which co-funded this study.

Figures

Figure 1
Figure 1. The Lexis diagram shows events by age and time.
(A) This Lexis diagram shows the occurrence of infection, disease, and death in individual life histories in the time–age plane. An epidemic outbreak affects several cohorts of individuals at a specific time, but may cause disease burden at different times later on. An age-specific intervention starts at a certain time and affects all cohorts reaching the specific age from that time onward. It does not prevent disease burden from earlier infections. Incidence may cause burden within a time window of observation, but also at later times within the life histories of the affected individuals. (B) Here the Lexis diagram shows the occurrence of influenza cases within the time period of one year. All burden generated by morbidity (red) occurs also within that time period. Burden due to mortality is from deaths occurring in the same year as infection. (C) The Lexis diagram for hepatitis B shows that the burden due to morbidity is spread out over many years following the incident infections in the year starting at time t.
Figure 2
Figure 2. An outcome tree linking exposure, infection and all sequelae.
The outcome tree displays how individuals may progress through various stages of infection, disease, and death. The process can be quantified by attaching proportions to the arrows depicting transitions, and durations to the various health outcomes. “R” denotes full recovery from infection and/or disease.
Figure 3
Figure 3. Preliminary estimates of the burden of disease in terms of DALYs per 100,000 individuals per year for selected infections in four European countries.
The differences seen between countries (A–D) may be due to differences in surveillance and/or to differences in the (distribution of) incidence of infections in populations. STEC/VTEC, shigatoxin-producing Escherichia coli/verocytotoxin-producing E. coli; YLD, number of life years lost due to disability; YLL, number of life years lost due to premature death.

References

    1. Murray CJ, Lopez AD. Global mortality, disability, and the contribution of risk factors: Global Burden of Disease Study. Lancet. 1997;349:1436–1442. - PubMed
    1. Murray CJ, Salomon JA, Mathers C, Lopez AD. Summary measures of population health. Geneva: World Health Organization; 2002. - PMC - PubMed
    1. Morens DM, Folkers GK, Fauci AS. The challenge of emerging and re-emerging infectious diseases. Nature. 2004;430:242–249. - PMC - PubMed
    1. Jones KE, Patel NG, Levy MA, Storeygard A, Balk D, et al. Global trends in emerging infectious diseases. Nature. 2008;451:990–993. - PMC - PubMed
    1. Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ. Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet. 2006;367:1747–1757. - PubMed

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