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Statistical methods for the detectio...

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Statistical methods for the detection and quantification of infectious disease epidemics.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical methods for the detection and quantification of infectious disease epidemics./
Author:	White, Laura Forsberg.
Description:	122 p.
Notes:	Adviser: Marcello Pagano.
Contained By:	Dissertation Abstracts International67-05B.
Subject:	Biology, Biostatistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3217928
ISBN:	9780542694530

Statistical methods for the detection and quantification of infectious disease epidemics.
White, Laura Forsberg.

Statistical methods for the detection and quantification of infectious disease epidemics. - 122 p.

Adviser: Marcello Pagano.

Thesis (Ph.D.)--Harvard University, 2006.

There is a growing awareness of the need for methods to analyze infectious disease surveillance data. Some of the goals of this methodology are the early detection of unusual events and rapid quantification of infectious disease outbreaks. This thesis proposes and develops methods for both of these issues. First we examine the M statistic as a tool to detect spatial aberrations in disease patterns and show how it can be used with temporal data to rapidly identify unusual disease patterns. We further show how to optimally implement the M statistic, with regard to discretizing the data, and describe how this work has implications for other statistics, such as Pearson's Chi Square statistic. The last two chapters of the thesis present a new method to simultaneously estimate R0 and the serial interval of an infectious disease in real time using simple surveillance data. This likelihood-based method represents an important innovation, in that is estimates both R0 and the serial interval in real time with limited information. In addition to the maximum likelihood approach used, we also describe a Bayesian approach to the problem. We apply this new method to data from the 2003 SARS outbreaks in Hong Kong and Singapore.

ISBN: 9780542694530Subjects--Topical Terms:

1018416
Biology, Biostatistics.

Statistical methods for the detection and quantification of infectious disease epidemics.
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100 1 $a White, Laura Forsberg. $3 1033015
245 1 0 $a Statistical methods for the detection and quantification of infectious disease epidemics.
300 $a 122 p.
500 $a Adviser: Marcello Pagano.
500 $a Source: Dissertation Abstracts International, Volume: 67-05, Section: B, page: 2309.
502 $a Thesis (Ph.D.)--Harvard University, 2006.
520 $a There is a growing awareness of the need for methods to analyze infectious disease surveillance data. Some of the goals of this methodology are the early detection of unusual events and rapid quantification of infectious disease outbreaks. This thesis proposes and develops methods for both of these issues. First we examine the M statistic as a tool to detect spatial aberrations in disease patterns and show how it can be used with temporal data to rapidly identify unusual disease patterns. We further show how to optimally implement the M statistic, with regard to discretizing the data, and describe how this work has implications for other statistics, such as Pearson's Chi Square statistic. The last two chapters of the thesis present a new method to simultaneously estimate R0 and the serial interval of an infectious disease in real time using simple surveillance data. This likelihood-based method represents an important innovation, in that is estimates both R0 and the serial interval in real time with limited information. In addition to the maximum likelihood approach used, we also describe a Bayesian approach to the problem. We apply this new method to data from the 2003 SARS outbreaks in Hong Kong and Singapore.
590 $a School code: 0084.
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710 2 $a Harvard University. $3 528741
773 0 $t Dissertation Abstracts International $g 67-05B.
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790 1 0 $a Pagano, Marcello, $e advisor
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3217928