The Eastern states in Nigeria, comprising the following states of Abia, Anambra, Ebonyi, Enugu, Imo, and Rivers, which faces numerous health challenges that impact the quality of life of its inhabitants. To better understand these challenges, Central Visual Analysis (CVA) can be employed to uncover hidden patterns and relationships in health data. This context is to briefly analysis the application of CVA in the health care sector, we will apply CVA to health data from Eastern Nigeria to identify key challenges and opportunities for improvement.
This research collected health data from various sources, including the Nigerian National Bureau of Statistics, the World Health Organization, and local health authorities. The data covered a range of health indicators, such as:
- Disease prevalence (e.g., malaria, HIV/AIDS, tuberculosis)
- Healthcare access and utilization (e.g., hospitalization rates, outpatient visits)
- Health outcomes (e.g., infant mortality, maternal mortality)
- Demographic and socioeconomic factors (e.g., age, sex, income level, education level)
Which CVA was later applied to the techniques, including clustering, dimensionality reduction, and network analysis, to identify patterns and relationships in the data. Which gets to revealed several key insights into the health challenges facing Eastern Nigeria:
Clustering of Health Indicators: The analysis identified clusters of health indicators that were highly correlated with each other. For example, we found a cluster of indicators related to maternal and child health, including maternal mortality, infant mortality, and low birth weight.
Geographic Variation in Health Outcomes: Our analysis revealed significant geographic variation in health outcomes across Eastern Nigeria. For example, we found that states in the southeastern part of the region (e.g., Imo, Abia) had higher rates of malaria and HIV/AIDS compared to states in the northwestern part of the region (e.g., Enugu, Anambra).
Socioeconomic Determinants of Health: Our analysis identified several socioeconomic factors that were strongly associated with health outcomes in Eastern Nigeria. For example, we found that households with lower incomes and lower levels of education were more likely to experience poor health outcomes.
The CVA of health data from Eastern Nigeria has provided valuable insights into the health challenges facing this region. The clustering of health indicators, geographic variation in health outcomes, and socioeconomic determinants of health all highlight the need for targeted interventions to address these challenges as Central Visual Analysis has proven to be a powerful tool for uncovering hidden patterns and relationships in health data from Eastern Nigeria. By applying CVA to health data, policymakers, healthcare providers, and researchers can gain a deeper understanding of the health challenges facing this region and develop targeted interventions to address them.
Develop targeted interventions to address the specific health challenges facing each state and local government area in Eastern Nigeria. Health Education and awareness programs which are aimed to address the socioeconomic determinants of health in Eastern part of the nation. By Investing in the development of healthcare infrastructure, including hospitals, clinics, and healthcare personnel, to improve access to healthcare services in Eastern Nigeria, applying Central Visual Analysis to health data , we can unlock new insights and develop effective solutions to address the health challenges facing this region.
