District level estimates and mapping of prevalence of diarrhoea among under-five children in Bangladesh by combining survey and census data

Sumonkanti Das*, Hukum Chandra, Unnati Rani Saha

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The demand for district level statistics has increased tremendously in Bangladesh due to existence of decentralised approach to governance and service provision. The Bangladesh Demographic Health Surveys (BDHS) provide a wide range of invaluable data at the national and divisional level but they cannot be used directly to produce reliable district-level estimates due to insufficient sample sizes. The small area estimation (SAE) technique overcomes the sample size challenges and can produce reliable estimates at the district level. This paper uses SAE approach to generate model-based district-level estimates of diarrhoea prevalence among under-5 children in Bangladesh by linking data from the 2014 BDHS and the 2011 Population Census. The diagnostics measures show that the model-based estimates are precise and representative when compared to the direct survey estimates. Spatial distribution of the precise estimates of diarrhoea prevalence reveals significant inequality at district-level (ranged 1.1-13.4%) with particular emphasis in the coastal and north-eastern districts. Findings of the study might be useful for designing effective policies, interventions and strengthening local-level governance.
Original languageEnglish
Article number0211062
Number of pages19
JournalPLOS ONE
Volume14
Issue number2
DOIs
Publication statusPublished - 1 Feb 2019

Keywords

  • SMALL-AREA ESTIMATION
  • RISK-FACTORS
  • POVERTY
  • DISEASE
  • GHANA
  • MODEL

Cite this

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title = "District level estimates and mapping of prevalence of diarrhoea among under-five children in Bangladesh by combining survey and census data",
abstract = "The demand for district level statistics has increased tremendously in Bangladesh due to existence of decentralised approach to governance and service provision. The Bangladesh Demographic Health Surveys (BDHS) provide a wide range of invaluable data at the national and divisional level but they cannot be used directly to produce reliable district-level estimates due to insufficient sample sizes. The small area estimation (SAE) technique overcomes the sample size challenges and can produce reliable estimates at the district level. This paper uses SAE approach to generate model-based district-level estimates of diarrhoea prevalence among under-5 children in Bangladesh by linking data from the 2014 BDHS and the 2011 Population Census. The diagnostics measures show that the model-based estimates are precise and representative when compared to the direct survey estimates. Spatial distribution of the precise estimates of diarrhoea prevalence reveals significant inequality at district-level (ranged 1.1-13.4{\%}) with particular emphasis in the coastal and north-eastern districts. Findings of the study might be useful for designing effective policies, interventions and strengthening local-level governance.",
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author = "Sumonkanti Das and Hukum Chandra and Saha, {Unnati Rani}",
note = "data source: Data extracted from Bangladesh Demographic and Health Survey 2014",
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District level estimates and mapping of prevalence of diarrhoea among under-five children in Bangladesh by combining survey and census data. / Das, Sumonkanti; Chandra, Hukum; Saha, Unnati Rani.

In: PLOS ONE, Vol. 14, No. 2, 0211062, 01.02.2019.

Research output: Contribution to journalArticleAcademicpeer-review

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T1 - District level estimates and mapping of prevalence of diarrhoea among under-five children in Bangladesh by combining survey and census data

AU - Das, Sumonkanti

AU - Chandra, Hukum

AU - Saha, Unnati Rani

N1 - data source: Data extracted from Bangladesh Demographic and Health Survey 2014

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N2 - The demand for district level statistics has increased tremendously in Bangladesh due to existence of decentralised approach to governance and service provision. The Bangladesh Demographic Health Surveys (BDHS) provide a wide range of invaluable data at the national and divisional level but they cannot be used directly to produce reliable district-level estimates due to insufficient sample sizes. The small area estimation (SAE) technique overcomes the sample size challenges and can produce reliable estimates at the district level. This paper uses SAE approach to generate model-based district-level estimates of diarrhoea prevalence among under-5 children in Bangladesh by linking data from the 2014 BDHS and the 2011 Population Census. The diagnostics measures show that the model-based estimates are precise and representative when compared to the direct survey estimates. Spatial distribution of the precise estimates of diarrhoea prevalence reveals significant inequality at district-level (ranged 1.1-13.4%) with particular emphasis in the coastal and north-eastern districts. Findings of the study might be useful for designing effective policies, interventions and strengthening local-level governance.

AB - The demand for district level statistics has increased tremendously in Bangladesh due to existence of decentralised approach to governance and service provision. The Bangladesh Demographic Health Surveys (BDHS) provide a wide range of invaluable data at the national and divisional level but they cannot be used directly to produce reliable district-level estimates due to insufficient sample sizes. The small area estimation (SAE) technique overcomes the sample size challenges and can produce reliable estimates at the district level. This paper uses SAE approach to generate model-based district-level estimates of diarrhoea prevalence among under-5 children in Bangladesh by linking data from the 2014 BDHS and the 2011 Population Census. The diagnostics measures show that the model-based estimates are precise and representative when compared to the direct survey estimates. Spatial distribution of the precise estimates of diarrhoea prevalence reveals significant inequality at district-level (ranged 1.1-13.4%) with particular emphasis in the coastal and north-eastern districts. Findings of the study might be useful for designing effective policies, interventions and strengthening local-level governance.

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KW - GHANA

KW - MODEL

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