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The History, Methodology and Main Findings of the Matlab Project in Bangladesh

Authors
Publisher
Hopkins Population Center
Publication Date
Keywords
  • Bangladesh
  • Historical Survey
Disciplines
  • Philosophy

Abstract

International Union for the Scientific Study of Population IUSSP COMMITTEE ON ANTHROPOLOGICAL DEMOGRAPHY and ORSTOM seminar on SOCIO-CULTURAL DETERMINANTS OF MORBIDITY AND MORTALITY IN DEVELOPING COUNTRIES: THE ROLE OF LONGITUDINAL STUDIES Saly Portudal, Senegal, 7-11 October 1991 The History, Methodology and Main Findings of the Matlab Project in Bangladesh K.M.A. Aziz and W. Henry Mosley Acknowledgement This research was supported by the International Centre for Diarrhoea1 Disease Research, Bangladesh (ICDDR,B). The ICDDR,B is supported by countries and agencies which share its concern for the health problems of developing countries. Current donors include: the aid agencies of the Governments of Australia, Bangladesh, Belgium, Canada, Denmark, France, Japan, the Netherlands, Norway, Saudi Arabia, Sweden, Switzerland, the United Kingdom and the United States; international organizations including the United Nations Development Programme, the United Nations Children's Fund and the World Health Organization; and private foundations including the Ford Foundation and the Sasakawa Foundation. The History, Methodology and Main Findings of the Matlab Project in Bangladesh Introduction The Matlab Population is the largest population under continuous surveillance in the world. It was established in 1963 by the Pakistan-SEATO Cholera Research Laboratory (PSCRL), the predecessor of the International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B) which was chartered in 1978 for the purpose of field testing cholera vaccines. Consequently the organization of the Matlab field operations was driven at the outset by the rigid technical and ethical requirements for the implementation of prospective double-blind controlled vaccine field trials. These high scientific standards have provided the model for field operations in Matlab ever since. Over three hundred national and international scien

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