Let me count that again
Descriptive epidemiology is the means by which we can elucidate the nature and extent of a problem and describe its distribution by time, person, place, severity, activity, location and mechanism. Data can be used to generate hypotheses about the cause, identify risk factors, quantify countermeasure...
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Published in | Injury prevention Vol. 26; no. 4; p. 301 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
England
BMJ Publishing Group Ltd
01.08.2020
BMJ Publishing Group LTD |
Subjects | |
Online Access | Get full text |
ISSN | 1353-8047 1475-5785 1475-5785 |
DOI | 10.1136/injuryprev-2020-043906 |
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Summary: | Descriptive epidemiology is the means by which we can elucidate the nature and extent of a problem and describe its distribution by time, person, place, severity, activity, location and mechanism. Data can be used to generate hypotheses about the cause, identify risk factors, quantify countermeasure efficacy and determine the effectiveness of programme implementation.1 So how much data are enough? A more useful way of asking this question is ‘How much data do I need before I can confidently act?’ In 1964, Dr Terry, Surgeon General of the US Public Health Service, named cigarette smoking a cause of lung cancer and laryngeal cancer in men, a probable cause of lung cancer in women and the most important cause of chronic bronchitis.2 How many years after that were vested interests still arguing the need for more data before those claims could be substantiated.3 It would be interesting to examine in the same light many of the calls for more data on a range of contemporary issues. Washington: U.S. Department of Health, Education, and Welfare, Public Health Service, Center for Disease Control, 1964. |
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Bibliography: | SourceType-Scholarly Journals-1 content type line 14 ObjectType-Editorial-2 ObjectType-Commentary-1 content type line 23 |
ISSN: | 1353-8047 1475-5785 1475-5785 |
DOI: | 10.1136/injuryprev-2020-043906 |