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Siga este link para ver outros tipos de publicações sobre o tema: Epidemiology.

Livros sobre o tema "Epidemiology"

Autor: Grafiati

Publicado: 4 de junho de 2021

Última modificação: 26 de outubro de 2024

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1

Gordis, Leon. Epidemiology. 3^a ed. Philadelphia: Elsevier/Saunders, 2004.

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2

B, Stone Donald, ed. Introduction to epidemiology. Madison, Wis: Brown & Benchmark Publishers, 1996.

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3

Bertelsmann, Annekarin. Drug Epidemiology / Pharmako-Epidemiologie. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78713-3.

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4

Weiss, Noel S. Clinical epidemiology. 3^a ed. New York: Oxford University Press, 2006.

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5

R, Beaglehole, Kjellström Tord e World Health Organization, eds. Basic epidemiology. 2^a ed. Geneva: World Health Organization, 2006.

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6

Krickeberg, Klaus, Van Trong Pham e Thi My Hanh Pham. Epidemiology. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1205-2.

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7

Krickeberg, Klaus, Pham Van Trong e Pham Thi My Hanh. Epidemiology. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16368-6.

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8

K, Vuylsteek, e Hallen M, eds. Epidemiology. Amsterdam: IOS Press, 1994.

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9

1958-, Muller Reinhold, ed. Epidemiology. South Melbourne, Vic: Oxford University Press, 2011.

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10

Merril, Ray M. Introduction to epidemiology. 4^a ed. Sudbury, Mass: Jones and Bartlett Publishers, 2006.

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11

Wolfgang, Ahrens, e Pigeot Iris, eds. Handbook of epidemiology. Berlin: Springer, 2005.

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12

W, Fletcher Suzanne, e Fletcher Grant S, eds. Clinical epidemiology: The essentials. 5^a ed. Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkins Health, 2014.

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13

Silva, Isabel dos Santos. Cancer epidemiology: Principles and methods. Lyon, France: International Agency for Research on Cancer, 1999.

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14

M, Margetts Barrie, e Nelson Michael, eds. Design concepts in nutritional epidemiology. 2^a ed. Oxford: Oxford University Press, 1997.

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15

Javier, Nieto F., ed. Epidemiology: Beyond the basics. 3^a ed. Burlington, Mass: Jones & Bartlett Learning, 2014.

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16

H, Beaty Terri, e Cohen Bernice H, eds. Fundamentals of genetic epidemiology. New York: Oxford University Press, 1993.

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17

Fred, Brauer, Van den Driessche, Pauline, 1941-, Wu Jianhong 1964- e Allen Linda J. S, eds. Mathematical epidemiology. Berlin: Springer, 2008.

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18

John, Yarnell, ed. Epidemiology and prevention: A systems-based approach. Oxford: Oxford University Press, 2007.

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19

Pearce, Neil. A short introduction to epidemiology. Editado por Massey University. Centre for Public Health Research. 2^a ed. Wellington, NZ: Centre for Public Health Research, Massey University, 2005.

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20

Streiner, David L. PDQ epidemiology. Toronto: B.C. Decker, 1989.

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21

Streiner, David L. PDQ epidemiology. 2^a ed. St. Louis: Mosby, 1996.

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22

Thrusfield, M. V. Veterinary epidemiology. 3^a ed. Ames, Iowa: Blackwell Science, 2005.

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23

E, Buring Julie, e Mayrent Sherry L, eds. Epidemiology in medicine. Boston: Little, Brown, 1987.

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24

Centers for Disease Control and Prevention (U.S.). Office of Workforce and Career Development., ed. Principles of epidemiology in public health practice: An introduction to applied epidemiology and biostatistics. 3^a ed. Atlanta, Ga: U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, Epidemiology Program Office, Office of Workforce and Career Development, 2006.

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25

Epidemiology. w.B.Saunders Company, 1996.

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26

Gordis, Leon. Epidemiology. 3^a ed. W.B. Saunders Company, 2004.

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27

Introduction to epidemiology. 6^a ed. Burlington, Mass: Jones & Bartlett Learning, 2013.

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28

Epidemiology. Philadelphia: W.B. Saunders, 1996.

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29

Epidemiology. 4^a ed. Philadelphia: Elsevier/Saunders, 2009.

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30

Epidemiology. 2^a ed. W.B. Saunders Company, 2000.

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31

Stone, Donald B., R. Warwick Armstrong, David M. Macrina e Joseph W. Pankau. Introduction To Epidemiology. William C. Brown, 1995.

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32

Drug Epidemiology / Pharmako-Epidemiologie. Island Press, 1993.

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33

Bonita, R., R. Beaglehole e T. Kjellström. Basic Epidemiology, Second Edition. 2^a ed. World Health Organisation, 2007.

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34

Clinical Epidemiology: The Essentials. 4^a ed. Lippincott Williams & Wilkins, 2005.

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35

Norell, Staffan E. Workbook of Epidemiology. Oxford University Press, Incorporated, 1995.

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36

Epidemiology. CRC, 2005.

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37

Epidemiology: A very short introduction. Oxford: Oxford University Press, 2010.

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38

Krieger, Nancy. Epidemiology and the People's Health: Theory and Context. Oxford University Press, Incorporated, 2011.

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39

Magnus, Manya. Intermediate Epidemiology. Jones & Bartlett Learning, LLC, 2014.

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40

Kay, Chris, Emily Fisher e Michael R. Hayden. Epidemiology. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199929146.003.0007.

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The prevalence and persistence of Huntington’s disease (HD) is crucially informed by the causative mutation. Diagnostic and predictive testing has enabled a new era of epidemiologic study of HD, whereby only those who carry an expanded CAG repeat are included in such measures. In Western populations, estimated prevalence of the disease is higher following the introduction of genetic testing, and prevalence may also be increasing in absolute terms. There are worldwide differences in the prevalence of HD by ethnicity and population, which may be accounted for in part by genetic diversity of the CAG repeat and the surrounding haplotype. HD is endemic to all populations, but is most common in populations of European ancestry in which specific disease haplotypes are found. New mutations maintain HD in a population, and genetic differences by population may contribute to differences in the de novo mutation rate.

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41

Longmore, Murray, Ian B. Wilkinson, Andrew Baldwin e Elizabeth Wallin. Epidemiology. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199609628.003.0014.

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The essence of epidemiologyPreventionScreeningEvidence-based medicine (ebm)Is this new drug any good? Trials and meta-analysisSix to five against (odds ratios)Investigations change the oddsAn example of epidemiology at work: risk factor analysisWe thank Dr Laurie Tomlinson, our Specialist Reader, and Kit Robinson, our Junior Reader, for their contribution to this chapter....

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42

Ekker, Merel Sanne, e Frank-Erik de Leeuw. Epidemiology. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198722366.003.0001.

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Epidemiology can be used to reveal new causes of ischaemic stroke in young adults. Each year, about 2 million patients worldwide suffer a young stroke between the ages of 18 and 49 years. The overall stroke incidence is decreasing; however, an increase in the incidence of young stroke has been witnessed, possibly due to better awareness, new imaging techniques, and the increased prevalence of traditional risk factors already at a young age. Nevertheless, not all young stroke patients have cardiovascular risk factors. The proportion of patients with arterial dissection, cardioembolic stroke, and cryptogenic stroke is higher in young patients than in older patients. This chapter uses sex differences in both incidence and prognosis to provide leads for new risk factors in young men and women. Lastly, prognosis after young stroke is poor. The risk of death is higher than expected from the general population and remains high even years after stroke. Young stroke strikes suddenly, with attendant life-long consequences.

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43

Polanczyk, Guilherme V. Epidemiology. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198739258.003.0013.

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This chapter initially reviews the main methodological aspects of ADHD prevalence studies, specifically study design, case definition, and ascertainment to subsequently address meta-analyses summarizing the prevalence of the disorder on children, adolescents, and adults. Results of meta-regression in the context of meta-analysis have investigated the effect of year of publication, sample location, and methodological characteristics of studies on heterogeneity of results. Studies on the course of the disorder, following up clinical and community samples, are discussed, as well as cultural influences on epidemiological findings. Large-scale cross-national studies and longitudinal studies following non-referred samples are necessary to further advance the knowledge on the epidemiology of ADHD.

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44

Dalbeth, Nicola. Epidemiology. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198748311.003.0003.

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The aetiopathogenesis of gout is initiated by urate overproduction and uric acid under-excretion, leading to hyperuricaemia. Foods such as seafood, red meat, beer, and sugar-sweetened beverages contribute to overproduction. Under-excretion is mediated by renal and gut uric acid transporters such as SLC2A9, ABCG2, and URAT1. In hyperurcaemia, there is formation of monosodium urate (MSU) crystals in joints, with acute gouty arthritis mediated by the innate immune system occurring in response to these crystals. Factors such as urate concentration, proteins present in synovial fluid, temperature, and pH control crystal nucleation and growth. Activation of the inflammasome by MSU crystals and production of interleukin-1ß‎ is central to acute gouty arthritis. Advanced gout occurs when there is persistent gouty arthritis and tophus with the tophus being an organized immune tissue response to MSU crystals that involves both innate and adaptive immune cells. Progression through the gout checkpoints (hyperuricaemia, MSU crystal formation, and immune response) is governed by inherited genetic variants, lifetime environmental exposures, and their interaction.

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45

Woodward, Mark. Epidemiology. Chapman and Hall/CRC, 2004. http://dx.doi.org/10.1201/9780429258350.

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46

Briko, N. I., ed. Epidemiology. OOO «GEOTAR-Media» Publishing Group, 2022. http://dx.doi.org/10.33029/9704-7227-9-epi-2023-1-656.

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47

Hanson, Ardis, e Bruce Lubotsky Levin. Epidemiology. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190238308.003.0004.

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Epidemiology, a basic science of public health, is a quantitative discipline based on probability, statistics, research methodologies, and disease etiology, to examine what factors cause, exacerbate, and/or prevent disease (morbidity) and death (mortality). Epidemiology can increase our understanding of at-risk populations, meet selected needs for addressing specific disease states or physical/mental/substance use disorders, identify services utilization, and potentially drive policy. Hence, a basic understanding of the principles and applications of epidemiological vocabulary, methods, and theoretical frameworks is essential for the practicing pharmacist. This chapter examines the core functions of epidemiology, provides a brief history of the field and subspecialties in epidemiology, and frames epidemiology at the national and international levels. In addition, the chapter discusses the distinct vocabularies, measures, methods, and studies commonly employed by epidemiologists.

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48

Woodward, Mark. Epidemiology. Chapman and Hall/CRC, 2013. http://dx.doi.org/10.1201/b16343.

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49

Costello, Sadie, Jennifer M. Cavallari, David H. Wegman, Marie S. O’Neill e Ellen A. Eisen. Epidemiology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190662677.003.0005.

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This chapter describes the basic principles of epidemiology, emphasizing the aspects most relevant to studies of health effects from occupational and environmental exposures. Numerous examples are provided of how epidemiology can be used to identify and quantify the relations between recent or long-term exposure and health outcomes, such as prevalence or incidence of disease, injury, or mortality. The chapter describes the common study designs, including cohort studies, case-control studies, and cross-sectional studies, with examples of their application. Key aspects of exposure assessment and characterizing and quantifying exposure, are described. The three types of bias in epidemiology, information, selection, and confounding, are defined as well as the healthy worker effect, a potential source of bias unique in occupational studies. Study designs and analytic methods that can reduce or eliminate specific types of bias are also described. Finally, the chapter provides guidance on how to interpret the results of studies, with an eye toward causal inference.

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50

Smedley, Julia, Finlay Dick e Steven Sadhra. Epidemiology. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199651627.003.0034.

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Measures of disease occurrence 684Measures of association 686Statistical inference 688Interpretation of associations 690Routine health statistics 692Planning epidemiological research 694Investigation of disease clusters 696Cross-sectional surveys 698Cohort studies 700Case-control studies 702Experimental studies 704Epidemiology is concerned with the distribution and determinants of illness and disease in human populations. Various measures are used to quantify the rates at which disorders occur in defined groups of people. These measures may relate to a population in its entirety (crude rates), or they may be specific to defined subgroups (e.g. sex- and age-specific rates)....

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