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A major breakthrough in epidemiology came with the introduction of statistical maps and graphs. They allowed careful analysis of seasonality issues in disease incidents, and the maps allowed public health officials to identifical critical loci for the dissemination of disease. John Snow in London developed the methods. English nurse Florence Nightingale pioneered analysis of large amounts of statistical data, using graphs and tables, regarding the condition of thousands of patients in the Crimean War to evaluate the efficacy of hospital services. Her methods proved convincing and led to reforms in military and civilian hospitals, usually with the full support of the government.[94] By the late 19th and early 20th century English statisticians led by Francis Galton, Karl Pearson and Ronald Fisher developed the mathematical tools such as correlations and hypothesis tests that made possible much more sophisticated analysis of statistical data.[95] During the U.S. Civil War the Sanitary Commission collected enormous amounts of statistical data, and opened up the problems of storing information for fast access and mechanically searching for data patterns. The pioneer was John Shaw Billings (1838–1913). A senior surgeon in the war, Billings built the Library of the Surgeon General's Office (now the National Library of Medicine, the centerpiece of modern medical information systems.[96] Billings figured out how to mechanically analyze medical and demographic data by turning facts into numbers and punching the numbers onto cardboard cards that could be sorted and counted by machine. The applications were developed by his assistant Herman Hollerith; Hollerith invented the punch card and counter-sorter system that dominated statistical data manipulation until the 1970s. Hollerith's company became International Business Machines (IBM) in 1911.[97] |
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