Evaluating the sample registration system using indirect estimates of fertility and mortality
Read Online
Share

Evaluating the sample registration system using indirect estimates of fertility and mortality

  • 894 Want to read
  • ·
  • 42 Currently reading

Published by Office of the Registrar General & Census Commissioner, India, Ministry of Home Affairs, Govt. of India in New Delhi .
Written in English

Subjects:

Places:

  • India,
  • India.

Subjects:

  • Registers of births, etc. -- India.,
  • Fertility, Human -- India.,
  • Mortality -- India.,
  • India -- Census, 1991.

Book details:

Edition Notes

Includes bibliographical references (p. 46-48)

StatementV.S. Swamy ... [et al.].
SeriesOccasional paper ;, no. 3 of 1992, Occasional paper (India. Office of the Registrar General & Census Commissioner), 1992, no. 3.
ContributionsSwamy, V. S., India. Office of the Registrar General & Census Commissioner.
Classifications
LC ClassificationsHB1049 .E93 1992
The Physical Object
Paginationxiii, 62 p. :
Number of Pages62
ID Numbers
Open LibraryOL1252682M
LC Control Number94902431

Download Evaluating the sample registration system using indirect estimates of fertility and mortality

PDF EPUB FB2 MOBI RTF

Outline 1. Fertility measures (some definitions) 2. Evaluation of fertility data Data collection errors, coverage, completeness Methods for deriving fertility estimatesFile Size: 1MB. already very low in NFHS-1, so that fertility declines above age 40 had a negligible impact on the changes in the CBR and TFR that occurred between the two surveys. NFHS-2 fertility estimates can be compared with estimates from the Sample Registration System (SRS), which is maintained by the Office of the Registrar General, India. Since the. The General Fertility Rate (GFR) has specific uses in certain circumstances when one wants to know a total number of births for all women in the fertile ages. An example would be in calculations of maternal mortality – see PAPP_S fertility rate for the period ( children per woman) is half of that reported for the period ( children per woman). Results from the IDHS indicate that the pattern of fertility by age group is the same as in the past, except that the peak in fertility has shifted from age to age

By using the Bongaarts model, if the estimates are reliable, the change in the product (I p C m C c C i C a) should equal the change in the total fertility. For Kenya as a whole, the agreement is excellent, with a 21 percent reduction in the proximate determinants effect compared to the 19 percent decline in fertility. Of particular interest is the comparison of fertility estimates for the recent past. Table presents total fertility rates 6 for the period by calendar year and by aggregated periods. Overall, the core and experimental surveys yield similar estimates of total fertility for the period and. The Center for Reproductive Medicine offers an initial infertility evaluation, including ovarian reserve testing and semen analysis. Call in MN What you should know about COVID and Fertility Treatment.   Importance Fertility behavior of a given time gives shape to the future age-sex structure Hence, studying the fertility behavior has an implication on the overall welfare planning process Produce the alterations in the size of a populationSources of Data:There are three sources: Registration of vital events Sample Registration System (SRS.

Introduction. Almost all methods of estimating fertility indirectly have their origins in the P/F ratio method first proposed by Brass ().In addition, the interpretation of the results from other methods (for example, cohort-period fertility rates) and some of the diagnostic tools used to assess the quality of the data when estimating child mortality also rely on the intrinsic logic of the. Semen Analysis testing to evaluate your fertility Monday, June 18th, Traditionally, the healthcare response to a couple with infertility has been for the female partner to visit a gynecologist for evaluation but you should know that Infertility is related to the male in % of cases. population was first projected over 15 years using a set of fertility. The projected population was then reverse survived using the Excel template , provided with Timaus and Moultrie (). Reverse survival fertility estimates the age specific fertility rates over a time period. Replacement level fertility rates are those fertility rates that under the current mortality conditions ensure that newborn girls will bear on average about children during their lifetime. We say children because we assume a male to female sex ratio at birth of