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Correlates of being sick or injured in under five-year old children by district in Pakistan: A spatial analysis case
1Independent Consultant, Karachi, Pakistan.
Insights
Spatial analysis of child health in Pakistan reveals population density as a key factor influencing sickness and injury in children under five. Data limitations highlight the need for better public health information systems.
Area of Science:
- Public Health
- Spatial Analysis
- Epidemiology
Background:
- Childhood illness and injury present a significant public health challenge in Pakistan.
- Understanding the spatial distribution and correlates of these health outcomes is crucial for targeted interventions.
Purpose of the Study:
- To demonstrate the application of population-based spatial analysis for public health indices in Pakistan.
- To identify factors associated with sickness or injury in children under five years old at the district level.
Main Methods:
- Utilized district-level data from the Pakistan Bureau of Statistics.
- Employed spatial regression analysis with percent of children under five sick or injured as the outcome variable.
- Included population density, average household size, and female literacy ratios as explanatory variables.
Main Results:
- In the spatial regression model, only population density was found to be statistically significant.
- This contrasts with the Ordinary Least Squares model, where other variables may have shown significance.
- The study identified limitations in the availability of current and regularly updated attribute and geographic data.
Conclusions:
- Population density is a significant correlate of sickness and injury in children under five in Pakistan.
- The findings underscore the importance of spatial analysis in public health research.
- Improving data availability and quality is essential for robust public health assessments in Pakistan.
Abstract:
This case study demonstrates the use of population based, spatial analysis of public health indices in Pakistan. The data for this study were obtained from the Pakistan Bureau of Statistics website. Using district level data, for the spatial analysis of having being sick or injured, and their correlates in the under-five year old children. Percent under 5 year children, who either fell sick or injured during the past two-weeks by district, was used as an outcome variable in the final spatial regression model. While district level population density, average household size, literacy ratios for females were used as explanatory variables. As opposed to the final Ordinary-Least-Squares model, only population density was statistically significant in the spatial model. Limitations in terms of availability of current and regularly updated, attribute as well as geographic data in the country are underscored by the results of this case study.
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