Title |
Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods
|
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Published in |
BMC Public Health, February 2014
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DOI | 10.1186/1471-2458-14-147 |
Pubmed ID | |
Authors |
Cheryl L Gibbons, Marie-Josée J Mangen, Dietrich Plass, Arie H Havelaar, Russell John Brooke, Piotr Kramarz, Karen L Peterson, Anke L Stuurman, Alessandro Cassini, Eric M Fèvre, Mirjam EE Kretzschmar |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 14% |
Ireland | 1 | 7% |
United States | 1 | 7% |
Australia | 1 | 7% |
Kenya | 1 | 7% |
Unknown | 8 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 57% |
Practitioners (doctors, other healthcare professionals) | 4 | 29% |
Scientists | 2 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
Portugal | 1 | <1% |
Netherlands | 1 | <1% |
Kenya | 1 | <1% |
France | 1 | <1% |
Mexico | 1 | <1% |
United States | 1 | <1% |
Unknown | 303 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 60 | 19% |
Student > Ph. D. Student | 56 | 18% |
Student > Master | 52 | 17% |
Student > Bachelor | 18 | 6% |
Other | 15 | 5% |
Other | 48 | 15% |
Unknown | 62 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 63 | 20% |
Agricultural and Biological Sciences | 31 | 10% |
Biochemistry, Genetics and Molecular Biology | 21 | 7% |
Nursing and Health Professions | 20 | 6% |
Social Sciences | 17 | 5% |
Other | 75 | 24% |
Unknown | 84 | 27% |