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Search for Predictors of Exceptional Human Longevity: Using Computerized Genealogies and Internet Resources for Human Longevity Studies (2004)
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@MISC{Gavrilov04searchfor,
author = {Gavrilova Gavrilov and Natalia S. Gavrilova and Leonid A. Gavrilov and Natalia S. Gavrilova and Leonid A. Gavrilov},
title = {Search for Predictors of Exceptional Human Longevity: Using Computerized Genealogies and Internet Resources for Human Longevity Studies},
year = {2004}
}
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Abstract
[This paper describes the current status of the ongoing research project “Search for Predictors of Exceptional Human Longevity ” supported by the Society of Actuaries, with final report scheduled for June 15, 2005]. Centenarians (people living to 100 and beyond) represent the fastest growing age group of the American population with obvious implications for actuarial science and practice. Yet, factors predicting exceptional longevity and its time trends remain to be fully understood. In this study we explored the new opportunities provided by the ongoing revolution in information technology, computer science and Internet expansion for studies of exceptional human longevity. Specifically, we explored the availability and quality of computerized online genealogies of long-lived individuals by cross-checking them with other Internet resources including the Social Security Administration Death Master File and the early US censuses. To this aim, we extracted detailed family data for 991 centenarians born in 1875-1899 in the United States from publicly available computerized genealogies of 75 million individuals identified in our previous study (Gavrilova, Gavrilov, 1999). In order to
Keyphrases
exceptional human longevity internet resource human longevity study computerized genealogy available computerized genealogy obvious implication actuarial science computerized online genealogy exceptional longevity previous study current status detailed family data long-lived individual final report computer science age group early u census ongoing revolution internet expansion information technology american population time trend united state ongoing research project search new opportunity
