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The Founders of MICS and a Tribute to the late Dr. Sharad Sapra

Linkedin post by Lakshmi Balaji


Comments

  1. Global development and policy expert. Former UNICEF and United Nations official
    1w

    Thanks, Lakshmi Balaji, for this important reminder. I do recall your and Sharad Sapra's pioneering work in developing MICS. I also recall how Leila Bisharat played an important role in popularizing it UNICEF-wide. Jim Grant recognized MIC's enormous potential in monitoring the mid-decade goals (MDGs) of the World Summit for Children and the whole UN system later adopted MICS as a powerful tool to monitor the Millennium Development Goals (MDGs) along with DHS. I also played a small role in institutionalizing MICs in UNICEF, first as Programme Director and later as Deputy Executive Director (and my self-appointed role as torchbearer of Jim Grant's legacy). The rest, as they say, is history. Bless you all, early pioneers of MICS!

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  2. This article gives a false impression of cluster sampling being developed in India. The cluster sampling was developed jointly by two German Mathematicians, Morris H. Hansen and William N. Hurwitz in 1943.

    In 1954 cluster sampling technique was used in parallel with randomised double-blind placebo-controlled design to study the effectiveness of Salk vaccine against polio virus involving 1.8 million children in the USA, Canada and Finland. In 1978 the WHO adjusted this sampling techniques to a two-stage 30/7 cluster to estimate immunization coverage.

    This sampling method was validated by using a computer simulation in 1985 (A computer simulation of the EPI survey strategy by Lemeshow, S. ET. AL. International Journal of Epidemiology, 14: 473-481 (1985).

    Another early study was – A simplified General Method for Cluster Sample of Health in Developing Countries by Steve Bennett, Tony Woods, Winitha M. Liyanagae and Duane L. Smith in rapp. trimest. statist. sanit. mond., 44 (1991)

    The author of the above article should have acknowledged the source of original works on cluster sampling. Otherwise, it would be interpreted as academic dishonesty.

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