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Studies in epidemiology and social d...

Sanchez, Fabio.

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Studies in epidemiology and social dynamics.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Studies in epidemiology and social dynamics./
作者:	Sanchez, Fabio.
面頁冊數:	140 p.
附註:	Adviser: Carlos Castillo-Chavez.
Contained By:	Dissertation Abstracts International68-01B.
標題:	Biology, Biostatistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3246706

Studies in epidemiology and social dynamics.
Sanchez, Fabio.

Studies in epidemiology and social dynamics. - 140 p.

Adviser: Carlos Castillo-Chavez.

Thesis (Ph.D.)--Cornell University, 2007.

1CDC: Fact Sheet: Dengue and Dengue Hemorrhagic Fever. June 19, 2001. World Wide Web. http://www.cdc.gov/ncidod/dvbid/dengue/facts.htmSubjects--Topical Terms:

1018416
Biology, Biostatistics.

Studies in epidemiology and social dynamics.
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100 1 $a Sanchez, Fabio. $3 1287193
245 1 0 $a Studies in epidemiology and social dynamics.
300 $a 140 p.
500 $a Adviser: Carlos Castillo-Chavez.
500 $a Source: Dissertation Abstracts International, Volume: 68-01, Section: B, page: 0030.
502 $a Thesis (Ph.D.)--Cornell University, 2007.
520 $a 1CDC: Fact Sheet: Dengue and Dengue Hemorrhagic Fever. June 19, 2001. World Wide Web. http://www.cdc.gov/ncidod/dvbid/dengue/facts.htm
520 $a Part I. We illustrate different modeling approaches to describe the dynamics of dengue fever (a vector-borne disease). According to the Center for Disease Control and Prevention (CDC), there are an estimated 50 to 100 million cases of dengue fever (the symptoms associated with dengue infection) every year around the world (mostly in the tropics)1. We demonstrate that "effective" mosquito control strategies are not sufficient in controlling dengue outbreaks. It is possible for low mosquito densities to cause large outbreaks. Furthermore, mosquito eradication is likely the most effective way to eliminate dengue fever but it is unpractical and nearly impossible to achieve. Based on the epidemiological threshold, R0 , we were able to determine the most sensitive parameters that can lead to enhance the implementation of public health policies and control strategies under different modeling scenarios.
520 $a Part II. Alcohol abuse has been a problem for a long time in the United States. Drinking behavior patterns have changed over the years and it affects all, age classes and social status. We used epidemiological approaches and constructed mathematical models to study drinking behavior. We find that peer pressure from moderate drinkers have the biggest impact on the population of low-risk drinkers. Threshold quantities that establish the prevalence of the drinking communities are studied and thoroughly analyzed to determine possible prevention strategies. We also explored the effect of the SDR (susceptible ('at-risk'), drinkers, temporarily recovered) model on a 'small-world' structure, and a continuous time Markov chain model. We found that network structure does not play a role on drinking behavior dynamics. We conclude that the SDR model is robust. For the stochastic simulations we computed final size drinker distributions. We also explored a more detailed model that includes four drinker classes (abstainers---occasional drinkers---moderate drinkers---heavy drinkers) and n neighborhoods. We computed threshold conditions and conducted an uncertainty analysis. We determine that the key transition to have an endemic drinking culture is from occasional drinker to moderate drinker.
590 $a School code: 0058.
650 4 $a Biology, Biostatistics. $3 1018416
650 4 $a Health Sciences, Epidemiology. $3 1019544
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773 0 $t Dissertation Abstracts International $g 68-01B.
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791 $a Ph.D.
792 $a 2007
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