• Home   /  
  • Archive by category "1"

History Of Epidemiology Essay

1. Susser M, Susser E. Choosing a future for epidemiology: II. From black box to Chinese boxes and eco‐epidemiology. Am J Public Health 199686674–677. [PMC free article][PubMed]

2. Kaplan G A, Lynch J W. Whither studies on the socioeconomic foundations of population health? Am J Public Health 1997871409–1411. [PMC free article][PubMed]

3. Kuh D, Ben‐Shlomo Y, Lynch J. et al Life course epidemiology. J Epidemiol Community Health 200357778–783. [PMC free article][PubMed]

4. Link B G, Phelan J. Social conditions as fundamental causes of disease. J Health Soc Behav. 1995;Spec No80–94. [PubMed]

5. Pearce N. Traditional epidemiology, modern epidemiology, and public health. Am J Public Health 199686678–683. [PMC free article][PubMed]

6. Susser M, Susser E. Choosing a future for epidemiology: I. Eras and paradigms. Am J Public Health 199686668–673. [PMC free article][PubMed]

7. Krieger N. Epidemiology and the web of causation: has anyone seen the spider? Soc Sci Med 199439887–903. [PubMed]

8. Lynch J, Smith G D. A life course approach to chronic disease epidemiology. Annu Rev Public Health 2005261–35. [PubMed]

9. Schneiderman N. Integrating behavioral and social sciences with public health. Washington, DC: American Psychological Association, 2001

10. Kaufman J S, Cooper R S. Seeking causal explanations in social epidemiology. Am J Epidemiol 1999150113–120. [PubMed]

11. Berkman L F, Kawachi I. A historical framework for social epidemiology. In: Berkman LF, Kawachi I, eds. Social epidemiology. Oxford: Oxford University Press, 20003–12.

12. Kneipp S M, Drevdahl D J. Problems with parsimony in research on socioeconomic determinants of health. Adv Nurs Sci 200326162–172. [PubMed]

13. Lynch J, Kaplan G A. Socioeconomic position. In: Berkman LF, Kawachi I, eds. Social epidemiology. Oxford: Oxford University Press, 200013–35.

14. Kawachi I. Social epidemiology. Soc Sci Med 2002541739–1741. [PubMed]

15. Krieger N. A glossary for social epidemiology. J Epidemiol Community Health 200155693–700. [PMC free article][PubMed]

16. Renaud M. [From social epidemiology to the sociology of prevention: 15 years' research on the social etiology of disease]. Rev Epidemiol Sante Publique 1987353–19. [PubMed]

17. McQueen D V, Siegrist J. Social factors in the etiology of chronic disease: an overview. Soc Sci Med 198216353–367. [PubMed]

18. Heymann D L. Social, behavioural and environmental factors and their impact on infectious disease outbreaks. J Public Health Policy 200526133–139. [PubMed]

19. Farmer P. Social inequalities and emerging infectious diseases. Emerg Infect Dis 19962259–269. [PMC free article][PubMed]

20. Bates I, Fenton C, Gruber J. et al Vulnerability to malaria, tuberculosis, and HIV/AIDS infection and disease. Part II: Determinants operating at environmental and institutional level. Lancet Infect Dis 20044368–375. [PubMed]

21. Ali S H. A socio‐ecological autopsy of the E. coli O157:H7 outbreak in Walkerton, Ontario, Canada. Soc Sci Med 2004582601–2612. [PubMed]

22. Kaplan G A. What's wrong with social epidemiology, and how can we make it better? Epidemiol Rev 200426124–135. [PubMed]

23. World Health Organization World Health Report, 2002: Reducing risks, promoting healthy life. Geneva: World Health Organization, 2002

24. Poundstone K E, Strathdee S A, Celentano D D. The social epidemiology of human immunodeficiency virus/acquired immunodeficiency syndrome. Epidemiol Rev 20042622–35. [PubMed]

25. Myer L, Ehrlich R I, Susser E S. Social epidemiology in South Africa. Epidemiol Rev 200426112–123. [PubMed]

26. Lazzarini Z, Klitzman R. HIV and the law: integrating law, policy, and social epidemiology. J Law Med Ethics 200230533–547. [PubMed]

27. Persson L, Ostgergren P O, Hanson B S. et al Social network, social support and the rate of decline of CD4 lymphocytes in asymptomatic HIV‐positive homosexual men. Scand J Public Health 200230184–190. [PubMed]

28. Larson A. The social epidemiology of Africas AIDS epidemic. Afr Aff (Lond) 1990895–25.

29. Lester B. The social context of HIV transmission in the African‐American community. Ethn Dis 19933387–394. [PubMed]

30. WHO Collaborative Study Group An international comparative study of HIV prevalence and risk behaviour among drug injectors in 13 cities. Bull Narc 19934519–46. [PubMed]

31. Ronald A, Ndinya‐achola J O, Ngugi E N. et al Social epidemiology in Africa: slowing the heterosexual transmission of AIDS. AIDS Soc 199127–8. [PubMed]

32. Perry M J. Gender, race and economic perspectives on the social epidemiology of HIV infection: implications for prevention. J Prim Prev 19981997–104.

33. Drucker E. Communities at risk: the social epidemiology of AIDS in New York City. In: Ulack R, Skinner WF, eds. AIDS and the social sciences: common threads. Lexington, KY: University of Kentucky Press, 199145–63.

34. Stall R, Catania J A, Pollack L. The social epidemiology of AIDS and HIV infection among older Americans. In: Riley MW, Ory MG, Zabloysky D, eds. AIDS in an aging society: what we need to know. New York, NY: Springer Publishing Co, 198960–76.

35. DakerWhite G, Barlow D. Heterosexual gonorrhoea at St Thomas'. 2. Sexual behaviour and sources of infection. Int J STD AIDS 19978102–108. [PubMed]

36. DakerWhite G, Barlow D. Heterosexual gonorrhoea at St Thomas. 1. Patient characteristics and implications for targeted STD and HIV prevention strategies. Int J STD AIDS 1997832–35. [PubMed]

37. Pollock J I, Golding J. Social epidemiology of chickenpox in two British national cohorts. J Epidemiol Community Health 199347274–281. [PMC free article][PubMed]

38. Pontes R J. [Measles in rural workers: a methodological essay in social epidemiology]. Rev Saude Publica 199024323–331. [PubMed]

39. Worrall E, Basu S, Hanson K. Is malaria a disease of poverty? A review of the literature. Trop Med Int Health 2005101047–1059. [PubMed]

40. Veldhuyzen van Zanten S J. Do socio‐economic status, marital status and occupation influence the prevalence of Helicobacter pylori infection? Aliment Pharmacol Ther 19959(Suppl 2)41–44. [PubMed]

41. Ackermann L, de K. Social factors that make South African women vulnerable to HIV infection. Health Care Women Int 200223163–172. [PubMed]

42. Chattopadhyay A, McKaig R G. Social development of commercial sex workers in India: an essential step in HIV/AIDS prevention. AIDS Patient Care STDs 200418159–168. [PubMed]

43. Fournier A M, Carmichael C. Socioeconomic influences on the transmission of human immunodeficiency virus infection: the hidden risk. Arch Fam Med 19987214–217. [PubMed]

44. Parker R G, Easton D, Klein C H. Structural barriers and facilitators in HIV prevention: a review of international research. AIDS 200014(Suppl 1)S22–S32. [PubMed]

45. Schoepf B G. AIDS action‐research with women in Kinshasa, Zaire. Soc Sci Med 1993371401–1413. [PubMed]

46. Sobo E J. Inner‐city women and AIDS: the psycho‐social benefits of unsafe sex. Cult Med Psychiatry 199317455–485. [PubMed]

47. Zierler S, Krieger N. Reframing women's risk: social inequalities and HIV infection. Annu Rev Public Health 199718401–436. [PubMed]

48. Shayne V T, Kaplan B J. Double victims: poor women and AIDS. Women Health 19911721–37. [PubMed]

49. Zaidi S A. Poverty and disease: need for structural change. Soc Sci Med 198827119–127. [PubMed]

50. Bastos F I, Szwarcwald C L. [AIDS and pauperization: principal concepts and empirical evidence]. Cad Saude Publica 20001665–76. [PubMed]

51. Gillies P, Tolley K, Wolstenholme J. Is AIDS a disease of poverty? AIDS Care 19968351–363. [PubMed]

52. Manfredi C. Can the resurgence of malaria be partially attributed to structural adjustment programmes? Parassitologia 199941389–390. [PubMed]

53. Lashley F R. Factors contributing to the occurrence of emerging infectious diseases. Biol Res Nurs 20034258–267. [PubMed]

54. Korte R, Rehle T, Merkle A. Strategies to maintain health in the Third World. Trop Med Parasitol 199142428–432. [PubMed]

55. Jones C O, Williams H A. The social burden of malaria: what are we measuring? Am J Trop Med Hyg 200471156–161. [PubMed]

56. Grund J P, Friedman S R, Stern L S. et al Syringe‐mediated drug sharing among injecting drug users: patterns, social context and implications for transmission of blood‐borne pathogens. Soc Sci Med 199642691–703. [PubMed]

57. Friedman S R, Neaigus A, Des Jarlais D C. et al Social intervention against AIDS among injecting drug users. Br J Addict 199287393–404. [PubMed]

58. Hughes R A. Drug injectors and the cleaning of needles and syringes. Eur Addict Res 2000620–30. [PubMed]

59. Miller M, Neaigus A. Networks, resources and risk among women who use drugs. Soc Sci Med 200152967–978. [PubMed]

60. Shrier L A. Sexually transmitted diseases in adolescents: biologic, cognitive, psychologic, behavioral, and social issues. Adolesc Med Clin 200415215–234. [PubMed]

61. Barat L M, Palmer N, Basu S. et al Do malaria control interventions reach the poor? A view through the equity lens. Am J Trop Med Hyg 200471174–178. [PubMed]

62. Castilla R E, Sawyer D O. Malaria rates and fate: a socioeconomic study of malaria in Brazil. Soc Sci Med 1993371137–1145. [PubMed]

63. Davies P D. The world‐wide increase in tuberculosis: how demographic changes, HIV infection and increasing numbers in poverty are increasing tuberculosis. Ann Med 200335235–243. [PubMed]

64. Mori T. [Tuberculosis and society]. Kekkaku 20037895–100. [PubMed]

65. Davies P D. The effects of poverty and ageing on the increase in tuberculosis. Monaldi Arch Chest Dis 199954168–171. [PubMed]

66. Cohen S. Keynote Presentation at the Eight International Congress of Behavioral Medicine: the Pittsburgh common cold studies: psychosocial predictors of susceptibility to respiratory infectious illness. Int J Behav Med 200512123–131. [PubMed]

67. Bor D H, Epstein P R. Pathogenesis of respiratory infection in the disadvantaged. Semin Respir Infect 19916194–203. [PubMed]

68. Crompton D W, Savioli L. Intestinal parasitic infections and urbanization. Bull WHO 1993711–7. [PMC free article][PubMed]

69. Stuver S O, Boschi‐Pinto C, Trichopoulos D. Infection with hepatitis B and C viruses, social class and cancer. IARC Sci Publ 1997319–324. [PubMed]

70. Boffetta P. Infection with Helicobacter pylori and parasites, social class and cancer. IARC Sci Publ 1997325–329. [PubMed]

71. Mata L J. The environment of the malnourished child. Basic Life Sci 1976745–66. [PubMed]

72. Powles J. Changes in disease patterns and related social trends. Soc Sci Med 199235377–387. [PubMed]

73. Marx R. Social factors and trachoma: a review of the literature. Soc Sci Med 19892923–34. [PubMed]

74. Cohen S, Doyle W J, Skoner D P. et al Social ties and susceptibility to the common cold. JAMA 19972771940–1944. [PubMed]

75. Keiser J, Utzinger J, Caldas de Castro M. et al Urbanization in sub‐saharan Africa and implication for malaria control. Am J Trop Med Hyg 200471118–127. [PubMed]

76. Trape J F. Malaria and urbanization in central Africa: the example of Brazzaville. Part I: Description of the town and review of previous surveys. Trans R Soc Trop Med Hyg. 1987;81(Suppl 2)1–9. [PubMed]

77. Ladnyi I D, Naiden P E, Klimchenko I Z. et al [Effect of the economic activity of man on natural foci of plague]. J Microbiol Epidemiol Immunobiol 19753–10. [PubMed]

78. Clarke L L, Coward R T. A multivariate assessment of the effects of residence on infant mortality. J Rural Health 19917246–265. [PubMed]

79. Khaw A J, Salama P, Burkholder B. et al HIV risk and prevention in emergency‐affected populations: a review. Disasters 200024181–197. [PubMed]

80. Mosley A. Does HIV or poverty cause AIDS? Biomedical and epidemiological perspectives. Theor Med Bioeth 200425399–421. [PubMed]

81. Bent S, Shojania K G, Saint S. The use of systematic reviews and meta‐analyses in infection control and hospital epidemiology. Am J Infect Control 200432246–254. [PubMed]

82. Bero L A, Jadad A R. How consumers and policymakers can use systematic reviews for decision making. Ann Intern Med 199712737–42. [PubMed]

83. Berlin J A, Colditz G A. The role of meta‐analysis in the regulatory process for foods, drugs, and devices. JAMA 1999281830–834. [PubMed]



In 1912, Janet Elizabeth Lane-Claypon, a British medical scientist 35 years of age who had already contributed substantial research findings in the fields of reproductive physiology and the bacteriology and biochemistry of milk, reported the results of a retrospective cohort study of weight gain during the first year of life among 204 infants fed boiled cows’ milk compared with 300 infants fed human breast milk. The results of her investigation revealed that, up to the age of 208 days, breastfed infants gained more weight than infants fed boiled cows’ milk. After that time period, weight gain was equal in the two groups. Lane-Claypon described, discussed, and analyzed her data for the possibility that her findings were due to sampling variation or confounding, and she used Student’s t test to evaluate observed differences in weight gain in small subsets of the study population. As far as is known, this was the first use of the retrospective (historical) cohort design and the t test in an epidemiologic study.

confounding factors (epidemiology); history; retrospective studies

Received for publication April 22, 2004; accepted for publication April 29, 2004.

Interest in the history of epidemiology has been sporadic and fragmentary. Many years ago, the Delta Omega Society (a public health honorary society) initiated a project to reprint facsimile copies of four classic epidemiologic studies (1–4). In 1941, the Commonwealth Fund published selected papers of Wade Hampton Frost, the first American professor of epidemiology, with commentary by Kenneth Maxcy (5). Charles-Edward A. Winslow provided a thoughtful essay on the philosophical basis of epidemiology in 1943 (6). Several textbooks have included more or less lengthy chapters on the subject (7–10). However, as yet, no text on the history of epidemiology exists (11).

This situation was somewhat ameliorated by the publication of a series of historical papers prepared as the result of a symposium, “Measuring our Scourges,” held in Annecy, France, in 1996 and organized by Swiss epidemiologist Alfredo Morabia. All of the articles from the symposium were published in the journal Social and Preventive Medicine (volumes 46 and 47) and can be accessed online (http://www.epidemiology.ch/history), along with additional papers and editorial comments on the subject. In his editorial introducing the symposium papers, Morabia described the workshop (sic) as “focused on the historical emergence of the corpus of epidemiologic methods used today” (12, pp. 3– 4).

The purpose of this commentary is to provide examples of what may have been the first epidemiologic implementation of a retrospective (historical) cohort study, the first modern description of confounding with an accompanying analysis, and the first use of Student’s t test to assess the difference of means in small samples. All three examples can be found in Janet Elizabeth Lane-Claypon’s 1912 classic, albeit forgotten, publication, Report to the Local Government Board upon the Available Data in Regard to the Value of Boiled Milk as a Food for Infants and Young Animals (13).

Lane-Claypon’s 60-page report is divided into five parts. The first three introduce and review the then-existing evidence to support the assertion that “experimental evidence confirms the conclusion derived from clinical experience as to the superior results obtained by feeding infants or young animals with the breast milk of an animal of the same species … and emphasizes the opinion that infants should be fed on the breast unless there is urgent reason to the contrary” (13, p. 1). Nevertheless, she also pointed out that “there remains … a small minority for whom artificial feeding is necessary …; and for them … the relative nutritive value of raw and boiled milk is of great importance” (13, p. 1). After concluding that the evidence indicated that raw and boiled cows’ milk were equal in nutritive value, she addressed the question of the effects of a diet of boiled cows’ milk. Part IV describes the design and results of the retrospective cohort study that she carried out to evaluate the relative nutritive value of boiled cows’ milk and human breast milk. The index of nutritive value used in the study was body weight at 8-day intervals from birth to 368 days of age. Part V provides a summary and conclusions.


Lane-Claypon designs and implements the first retrospective (historical) cohort epidemiologic study

In the introduction (part I) to the report, Lane-Claypon spelled out the requirements for implementing the study successfully: 1) a large number of healthy babies under medical supervision who had been fed boiled cows’ milk during the first year of life, 2) a similar number of healthy babies subjected to the same supervision and fed an alternative diet (breast milk), and 3) the babies in each group being “as far as possible” (13, p. 3) from the same social environment. To obtain such a study population, Lane-Claypon required access to a large clinical facility (she called them “Infant Consultations”) that served healthy children by providing regular periodic examinations. Unable to find such a facility in England, she took advantage of contacts made in Berlin, Germany, while traveling in Europe as a Jenner Research Fellow (1909–1911). At the time of the study, there were seven Infant Consultations in Berlin, all of which served infants “ exclusively of the working classes” (13, p. 28). The Consultation chosen for the study (Naunyn Strasse) served a clientele of about 100 babies every day. Sick children were routinely referred to hospitals or private practitioners. Extensive data were obtained on each baby at the time of its first visit to the Consultation and on each subsequent visit. The critical data obtained at the first visit included dates of birth and first visit, type of feeding (breast or artificial), weight, and wages of the father. At subsequent visits, the data obtained included date of visit, weight, and type of feeding.

Study subjects were selected seriatim from attendees in 1907–1908 and 1908–1909, with the following exclusions: infants over the age of 4 months at the first visit, infants who did not attend regularly over a period of 4 months, infants who suffered from “constitutional diseases” (13, p. 31), and infants who died during their attendance at the Consultation. The resultant study population consisted of 204 infants whose primary milk source was boiled cows’ milk and 300 infants whose primary milk source was the breast. (Lane-Claypon considered the breastfed series as controls.) Table I (reproduced here as figure 1) and table II (identical except for the numbers in each cell; not reproduced here) of her report describe the two series with regard to age at entry and exit. The boiled-milk-fed series yielded 5,444 weight measures and the breastfed series 6,297. Because each series included a small proportion of infants whose diets were mixed, Lane-Claypon carried out various analyses based on selected portions of the cohorts (not considered herein).

The basic analyses consisted of calculating the mean weights of the babies in the two series for each 8-day period of follow-up for a year. Results were graphed as shown in diagram I of the report (reproduced here as figure 2). Lane-Claypon described the findings as follows: “Diagram I. shows at once that a considerable divergence between the two curves starts in the early days of life, and continues well-marked up to about the 208th day, after which it disappears fairly rapidly. The question suggested by these curves is, – Is the difference between the average weight of breast-fed and of babies … fed upon boiled cow’s milk due to the method of feeding?” (13, pp. 38–39). Lane-Claypon then considered the possibility that the differences might be due to “Error of Sampling” (13, p. 39). She then tested the probability that the means of three consecutive 8-day periods, from the 137th to the 160th day after birth, in each series could be due to sampling. She did so by calculating the ratio of the observed difference of means for the babies in each series and the probable error (analogous to the standard error) of the difference. The “critical” ratios for the three differences were similar, 7.6–8.4, an observation indicating that the differences were unlikely to be due to sampling error. (A “critical” ratio of 1.96 based on the standard error of the difference as the denominator is equivalent to a 0.05 probability that the observed differences were due to sampling variability.)

Lane-Claypon describes confounding and analyzes her data to investigate the possibility that it explained the findings

Having satisfied herself that the differences in weight gain in the two series were not due to sampling, Lane-Claypon considered the possibility that the differences were due to confounding. She described it as follows: “It does not, however, necessarily follow that the difference of food has been the causative factor, and it becomes necessary to ask whether there can be any other factor at work which is producing the difference found. … The social class of the children seemed a possible factor, and … it was considered advisable to investigate the possible significance of any difference which existed between the social conditions of the homes” (13, p. 40). To accomplish this, Lane-Claypon compared the weekly wages of the fathers of the infants in each series and found that, although wages were low overall and reflected the artisan class from which the study subjects were drawn, their distributions were essentially the same. She also noted that “no baby is allowed to have a deficient food-supply, since if it is artificially-fed[,] the milk is supplied free if the family cannot afford to pay for it, and the nursing mothers receive a nursing bonus” (13, p. 41).

Lane-Claypon uses Student’s t test to evaluate the observed differences in weight during the first 8 days of life of the boiled-milk and breastfed infants

Toward the end of the report, Lane-Claypon took note of the crossover of the weights for the two series of babies during the first 8 days of life shown in figure 2 (diagram I). She wrote, “The average weight of the babies fed upon boiled cows’ milk is higher for the first eight-day period than that of the breast-fed babies. The former value is based on 10 observations, and the latter upon 24; it becomes a question whether any importance can be attributed to this difference … or whether it may not be due to an error introduced by the extremely small number of observations available for the cows’ milk series” (13, p. 45). To deal with this possibility, Lane-Claypon took advantage of a statistical procedure that had been reported 4 years before publication of her report. She described it as follows, “The method introduced by ‘Student’ is applicable for small numbers of observations” (13, p. 45). She was, of course, referring to the t test developed by W. S. Gosset in his classic paper, “On the Probable Error of a Mean,” which provided a technique for analysis of data from small samples (14). Application of Student’s t test to the analysis of the difference of means in the data for the first 8 days of life indicated that the probability of a sampling-error explanation was relatively high, about 14 percent, compared with a sampling-error probability of about 2 percent given by the standard method of testing.


Lane-Claypon concluded her report with the statement, “The evidence dealt with throughout this report emphasizes very forcibly the importance of breast-feeding for the young of all species and shows the special importance of breast-feeding during the early weeks of life” (13, p. 56). Nevertheless, she also wrote, “The Berlin figures dealing with infants fed on boiled cow’s milk give extremely favorable results” (13, p. 56).

Lane-Claypon’s report would appear to predate by almost three decades other retrospective cohort studies. In his review of retrospective cohort studies, Doll (15) cites Frost’s 1933 study of familial acquisition of tuberculosis in the Black population of Kingsport, Tennessee, as an early example (16). However, cohort studies did not become a prominent part of the epidemiologic armamentarium until after the Second World War. Pioneering studies of occupational hazards in England (17, 18); a study of atomic bomb explosion survivors in Hiroshima and Nagasaki, Japan (19); and a long-term follow-up study of cardiovascular risk factors in a general population sample in Framingham, Massachusetts (20), opened the door to an abundance of this type of study that is ongoing today.

In his insightful essay on the history of confounding, Vandenbroucke wrote, “Confounding is not a statistical or analytic concept. It is a concept that has to do with the logic of scientific reasoning. In particular the logic of inferring causality from observations” (21, p. 216). Lane-Claypon’s skepticism with regard to her statistically significant observations of the differences in weight gain of the infants fed on different regimens led her to a clear description of the dilemma posed by possible confounding variables in the interpretation of an observed association as causal. Although Vandenbroucke cites Claude Bernard as having described, during the 19th century, the complexity of causal inference in observational studies, Bernard’s exposition, in his 1866 classic, Introduction to the Study of Experimental Medicine, was not based on real data as was Lane-Claypon’s 1912 consideration of the issue.

Lane-Claypon’s use of “Student’s t test” was undoubtedly suggested by Major Greenwood, who had been on the staff of the Lister Institute of Preventive Medicine in the United Kingdom during Lane-Claypon’s tenure there (1907–1912) and who was subsequently professor of epidemiology and biostatistics at the London School of Hygiene and Tropical Medicine. Lane-Claypon credited Greenwood in a footnote of her report, as follows: “For instruction in the statistical methods employed and for supervision of the results obtained, I am deeply indebted to Dr. Major Greenwood … of the Lister Institute” (13, p. 29). It should be noted that Gosset’s seminal article was highly technical and understandable to only the most sophisticated statisticians (14).

This report, the 11th publication attributed to Janet Elizabeth Lane-Claypon, was her first epidemiologic paper. Her previous publications reported the results of laboratory studies of reproductive physiology or the bacteriology and chemistry of milk. These latter studies and the report discussed here led to her selection by the Medical Research Committee (forerunner of the Medical Research Council) to prepare a comprehensive review of the hygienic aspects of milk. The resulting book, Milk and its Hygienic Relations, was published simultaneously in New York and London in 1916 (22).



Budd W. Typhoid fever: its nature, mode of spreading, and prevention. New York, NY: American Public Health Association, 1931.

Google Scholar


Snow J. Snow on cholera: being a reprint of two papers. New York, NY: The Commonwealth Fund, 1936.

Google Scholar


Maxcy KF, ed. Papers of Wade Hampton Frost. New York, NY: The Commonwealth Fund, 1941.

Google Scholar


Winslow C-EA. The conquest of epidemic disease: a chapter in the history of ideas. Princeton, NJ: Princeton University Press, 1943.

Google Scholar


Greenwood M. Epidemics and crowd-diseases: an introduction to the study of epidemiology. London, United Kingdom: Williams and Norgate Ltd, 1935.

Google Scholar


Lilienfeld AM. Foundations of epidemiology. New York, NY: Oxford University Press, 1976.

Google Scholar


Rothman KJ, Greenland S, eds. Modern epidemiology. 2nd ed. Philadelphia, PA: Lippincott-Raven, 1998.

Google Scholar


Stolley PD, Lasky T. Investigating disease patterns: the science of epidemiology. New York, NY: W H Freeman, 1995.

Google Scholar


Winkelstein W Jr. From the editor. (Editorial).

Am J Epidemiol







Google Scholar


Morabia A. History of epidemiologic methods. (Editorial).

Soz Praventivmed







Google Scholar


Lane-Claypon JE. Report to the local government board upon the available data in regard to the value of boiled milk as a food for infants and young animals. No. 63. London, United Kingdom: His Majesty′s Stationary Office, 1912:1–60.

Google Scholar


Selvin S. Statistical analysis of epidemiologic data. 2nd ed. New York, NY: Oxford University Press, 1996.

Google Scholar


Doll R. Cohort studies: history of the method. II. Retrospective cohort studies.

Soz Praventivmed







Google Scholar


Frost WH. Risk of persons in familial contact with pulmonary tuberculosis.

Am J Public Health







Google Scholar


Hill AB. Principles of medical statistics. 8th ed. London, United Kingdom: The Lancet Ltd, 1966.

Google Scholar


Doll R. The causes of death among gas-workers with special reference to cancers of the lung.

Br J Ind Med







Google Scholar


Folley JH, Borges W, Yamasaki T. Incidence of leukemia in survivors of the atomic bomb in Hiroshima and Nagasaki.

Am J Med







Google Scholar


Dawber TR, Meadors GF, Moore FE Jr. Epidemiological approaches to heart disease: the Framingham study.

Am J Public Health







Google Scholar


Vandenbroucke JP. The history of confounding.

Soz Praventivmed







Google Scholar


Lane-Claypon JE. Milk and its hygienic relations. New York, NY, and London, United Kingdom: Longmans Green & Co, 1916.

Google Scholar

Reprint requests to Dr. Warren Winkelstein, Jr., School of Public Health, 140 Warren Hall, University of California, Berkeley, Berkeley, CA 94720-7360 (e-mail: winkelstein@yahoo.com).

FIGURE 1. Lane-Claypon’s tabulation of ages at entry and at study termination of infants in the breastfed series (13, p. 33).

FIGURE 1. Lane-Claypon’s tabulation of ages at entry and at study termination of infants in the breastfed series (13, p. 33).

FIGURE 2. Lane-Claypon’s graphical presentation of the weights of infants in the two study series at 8-day intervals during 12 months of follow-up (13, p. 39).

FIGURE 2. Lane-Claypon’s graphical presentation of the weights of infants in the two study series at 8-day intervals during 12 months of follow-up (13, p. 39).

One thought on “History Of Epidemiology Essay

Leave a comment

L'indirizzo email non verrà pubblicato. I campi obbligatori sono contrassegnati *