Last edited by Mebar
Monday, February 3, 2020 | History

2 edition of Using household and district level data for geographic targeting found in the catalog.

Using household and district level data for geographic targeting

Carlo Del Ninno

Using household and district level data for geographic targeting

a methodological exercise with Bangladesh data

by Carlo Del Ninno

  • 328 Want to read
  • 34 Currently reading

Published by Food Management & Research Support Project, Ministry of Food, Government of the People"s Republic of Bangladesh, International Food Policy Research Institute in Dhaka .
Written in English

    Places:
  • Bangladesh,
  • Bangladesh.
    • Subjects:
    • Poverty -- Bangladesh -- Databases.,
    • Household surveys -- Bangladesh.

    • About the Edition

      Survey data on poverty in Bangladesh.

      Edition Notes

      StatementCarlo del Ninno; Binayak Sen.
      GenreDatabases.
      SeriesFMRSP working paper ;, no. 34
      ContributionsSen, Binayak., Food Management & Research Support Project (Bangladesh)
      Classifications
      LC ClassificationsHC.8.Z9A-ZP6+
      The Physical Object
      Paginationvi, 16 p. ;
      Number of Pages16
      ID Numbers
      Open LibraryOL3440689M
      LC Control Number2005310063

      The current sampling plan is a sample of these clusters of addresses. Pros: This process can be extended to cover several characteristics and varying degrees of complexity. Data were analyzed using Nvivo 10 software. A total of 10 in-depth interviews IDI and 4 group discussions GDs were conducted with implementers at national level, regional, district and health care facility level. The exclusion of individuals who are most in need of social safety nets due to resource constraints is unavoidable.

      Survey participation is voluntary and the confidentiality of responses is assured under Section d of the Public Health Service Act. Use Case: If a survey requires a sample of fifty men and fifty women, a quota sample will survey respondents until the right number of each type has been surveyed. The current sampling plan was implemented in The health system in Tanzania assumes a pyramidal pattern of a referral system starting from village health service which is the lowest level of health care delivery in the country followed by dispensary services which cater for between and 10, people and supervise all the village health posts in its ward. The quote below testifies that.

      This can be avoided by randomizing the list of your population entities, as you would randomize a deck of cards for instance, before you proceed with systematic sampling. With four sample panels and no sample cuts or augmentations, the expected NHIS sample size completed interviews is approximately 35, households containing about 87, persons. Transfer of information from the district to the facility and community level was mainly through telephone and via verbal channels during submission of the claim forms to the district by facility representative. Such a system bears the risk of exacerbating and perpetuating existing patterns of social exclusion. Here is a list of regional, national and international user conferences centered on ESRI. Survey participation is voluntary and the confidentiality of responses is assured under Section d of the Public Health Service Act.


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Using household and district level data for geographic targeting by Carlo Del Ninno Download PDF Ebook

Perhaps lack of incentives to the lower level implementers as the program was implemented within the existing platform contributed to this problem.

Layers such as the buildings, interior spaces, paved areas, and trees that are shown in the Campus Place Finder app. Major GDF5. Source Consumers use their phone in stores. The ads may be creative enough to get users interested based on their preferences or cater to their specific needs like finding a nearby ATM, pizza place or a service center of a company.

Related read: When to do quota sampling and how to do it correctly Probability sampling techniques are superior, but the costs can be prohibitive.

6 Sampling Techniques: How to Choose a Representative Subset of the Population

The quote below testifies that. The new GDF5. Women received the cards as they came for subsequent ANC visits to the facility. Alternatively physical fitness could be substituted for age criteria.

A major strength of this survey lies in the ability to display these health characteristics by many demographic and socioeconomic characteristics.

Targeting the Poorest and Most Vulnerable: Examples from Bangladesh

Background and rationale Using household and district level data for geographic targeting book GDF standardization[ edit ] By the late s, producers and users of digital road map data became increasingly aware of the need for a common data interchange standard. For example at the district level, district officials were expected to conduct sensitization about the MCH insurance card, conduct job training for the health care providers, handle client complaints, supervise the health workers at facilities, ensure that screening forms Using household and district level data for geographic targeting book available and were submitted to the respective levels as required, prepare and distribute cards, and act as a link between the zone, district office, and health facilities.

To conduct a survey of people who go jogging in a certain park every morning, for example, snowball sampling would be a quick, accurate way to create the sample. Results The whole process of screening and identifying poor pregnant women resulted in delay in implementation of the intervention.

Available Separately from Caliper School Districts School Districts School districts are geographic entities within which state, county, or local government officials provide public educational services for the area's residents.

But in spite of its limitations, market segmentation remains one of the enduring concepts in marketing and continues to be widely used in practice.

Use Case: If a survey requires a sample of fifty men and fifty women, a quota sample will survey respondents until the right number of each type has been surveyed.

With the advent of social media and consumers getting comfortable sharing content online Status updates, pictures, video and even locationit is easier for companies to get location data and use this data to personalize their market campaigns and geo-target their users. Initially it was produced only in black.

The team worked together and coded a few transcripts together. Transparency There are several constraints that dictate the size and structure of the population. Oxford University Press. A Census designated place is a settled concentration of population that are identifiable by name but are not legally incorporated under the laws of the state in which they are located.

Interview guides were prepared in English and subsequently translated into Kiswahili by the bi-lingual research scientists and research assistants, who also conducted the interviews. Census tract boundaries normally follow visible features, but may follow governmental unit boundaries and other non-visible features, and they always nest within counties.

Individual targeting was perceived to have some form of stigmatization; hence beneficiaries did not like to be termed as poor. The best survey design practices keep the target population at the core of their thought process.

In general, community-based targeting has more advantages than drawbacks.Aug 31,  · This page contains examples of how BRFSS data support ongoing projects and what states have already accomplished by using BRFSS data.

For more information on a specific example, please note the state that reported the project or data use and visit that state’s BRFSS Web site or contact the state’s BRFSS coordinator.

regressions based on VLSS data and district-level means for comparable variables in the agricultural census.5 First, the relationship between poverty and 25 household-level variables was estimated, using data from the VLSS for which there were equivalent variables in the census data.

Then, the average values of these same Determining the level of geographic detail to disaggregate by is a key management decision. While collecting indicator data at a high level of geographic detail (e.g., latitude/longitude point locations) can provide a comprehensive amount of information, that level of geographic detail is not always necessary.

Geographic Data

It.Targeting. We collect data on your shopping behavior, to provide you with a pdf shopping pdf such as product recommendations. ointments) and common ailments (colds, fever, insomnia, back pain), this innovative book is sure to become a household standard and go-to guide for treating a wide variety of conditions and illnesses.The Future of Federal Household Surveys is a factual summary of the presentations and related discussions that transpired during the workshop.

This summary includes a number of solutions that range from methodological approaches, such as the use of administrative data, to emphasis on interagency cooperative efforts.Our purpose is demonstration of the efficacy of relatively simple small-area estimation of HIV prevalence ebook the ebook districts of South Africa using data from the South African National HIV Prevalence, Incidence and Behavior Survey,district-level HIV prevalence estimates obtained from testing of pregnant women who attended antenatal care Cited by: 3.