Highlights
This exercise assesses your ability to interpret data analysis outcomes. In this activity, you will not need to conduct any additional data collection or analysis, just take the outputs presented in the document, and write up an explanation and interpretation of the results.
TASKS IN DETAIL:
• Review and understand the data and the purpose of the research task.
• Explain how the cluster analysis came up with the country grouping and argue for the best solution. Don’t forget to name/label your country clusters. (Cluster membership table provided in appendix.)
• Explain the group comparisons and provide hypotheses that could be tested with these ANOVA tests. Explain the test results.
• The data set is subjected to regression analysis. A simple and an extended regression model are evaluated. Explain the analysis results, based on the details provided.
• You should be able to do this in no more than 2500 words (excluding tables and figures provided).
1. Background
Recent events in relation to the COVID-19 Pandemic has impacted us all severely. In the midst of this turmoil, we seek explanations as to why is it happening, and how can we predict future risks and events to come.
It is within this context that researchers have assessed the readiness and capabilities of countries’ health care systems to handle the pandemic situation (Kendal, 2020). Findings highlighted, that countries possess varied capacities and preparedness for handling the challenges.
2. Research purpose
The purpose of this article is to explore the capacity of the WHO SPAR preparedness metrics to explain the spread of the COVID-19 infection as reflected by national health statistics.
I hypothesise relationships between healthcare system preparedness and outcome (cumulative number and growth of infections and casualties reported to relate to COVID-19). I control for the impact of general attitudes of the population, and government approach to implementing policies towards implementing restrictions through various proxies. Furthermore, I control for basic characteristics influencing population interaction and presence of vulnerable groups, through selected proxies.
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