Measuring underreporting and under-ascertainment in infectious disease datasets¶
Gibbons, C. L., Mangen, M. 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.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Outbreak Underascertainment
- Acute infectious-disease outbreak surveillance — the foundational habitat: COVID-19, Ebola, cholera, influenza, and mpox, where the multiplication factor is measured by study design rather than assumed and is disease-, country-, age- and sex-specific
This sourceGibbons et al. is the source for the measurement discipline this bullet asserts: multiplication factors estimated by specific study designs - community studies, serosurveys, returning-traveller studies, capture-recapture, modelling - rather than assumed, and 'often disease-, country-, age-, and sex-specific' in the paper's own words; its evidence base is salmonellosis and campylobacteriosis in EU and OECD datasets, so the five pathogens the bullet names are not from it.
Supported in partVerified against the source
- Acute infectious-disease outbreak surveillance — the foundational habitat: COVID-19, Ebola, cholera, influenza, and mpox, where the multiplication factor is measured by study design rather than assumed and is disease-, country-, age- and sex-specific
Verification¶
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