Covid-19 / SARS-Cov-2 Global Statistical and Comparative Analysis
Dev M. Devendra, ACMA
MedGlobal Health Corporation
Dev M. Devendra, CGMA, ACMA(UK), PMP

Compilation of global statistics for Covid-19 infections and testing from multiple verified sources with related stats for population demography, health risk factors, health care infrastructure and some key economic indicators. These stats are for a selected diverse list of 23 countries (spanning geography, population demography, health risk factors, economic development and health infrastructure) to facilitate global comparative analysis and identification of potential influences / drivers.

The analysis of this data reveals some interesting risk factors and relationships. The stats were updated on regular basis to generate time series data for trend and other potential predictive analytics.

Look presentation
18 October, 2020
Comparative Statistical Data as at 18 October, 2020
Table 1 (Testing, Covid 19 Confirmed Cases, Recoveries, Deaths):
Table 2 (Active Cases, Mild, Serious/Critical, Population Median Age):
Table 3 (Population Demography/Risk: Over 65, Life Expectancy, Literacy, Urbanisation; Resources: PPP GDP, PPP GDP per Capita):
Table 4 (Health Infrastructure: Health % of GDP spending, Physician and Hospital Bed Density; Infectious Disease Risk; Obesity):

For this study the following factors were considered as strengths or weaknesses internal to a country:

Population Demography

  • Percentage of Population 65 years or older
  • Median Age of population
  • Urban Population (as a percentage of total
  • Literacy rate

Population Health Risk Factors

  • Life Expectancy at birth
  • Adult prevalence of Obesity (as a percentage)
  • Major Infectious Disease Risk assessment (only available for limited countries)

Health Infrastructure

  • Physician Density per 1,000
  • Hospital Bed Density per 1,000
  • Healthcare expenses as a percentage of GDP

Economic Strength and Financial /Technology Resources

  • Gross Domestic Product (GDP) on Purchasing Power Parity (PPP) measurement basis
  • Per Capita PPP GDP

9 May, 2020
Comparative Statistical Data as at 9 May, 2020
Table 1 (Testing, Covid 19 Confirmed Cases, Recoveries, Deaths):
Table 2 (Active Cases, Mild, Serious/Critical, Population Median Age):
Table 3 (Population Demography/Risk: Over 65, Life Expectancy, Literacy, Urbanisation; Resources: PPP GDP, PPP GDP per Capita):
Table 4 (Health Infrastructure: Health % of GDP spending, Physician and Hospital Bed Density; Infectious Disease Risk; Obesity):

For this study the following factors were considered as strengths or weaknesses internal to a country:

Covid 19 Source Data

  1. Number of Covid 19 Tests
  2. Number of Confirmed Covid-19 Cases
  3. Covid 19 related Deaths
  4. Covid 19 patients who have Recovered and Discharged
  5. Covid 19 Active Cases
  6. Active Cases reported as Mild Condition
  7. Active Cases reported as in Serious or Critical Condition

Covid 19 Analytic Data / Key Performance Indicators (KPIs)

  1. Percentage of Global Confirmed Cases – as reported by countries as infected with Covid 19
  2. Percentage…

Key Benefits of SWOT for Covid 19 Global Comparative Analysis

A SWOT methodology driven global comparative analysis for Covid 19 can be useful for:

  1. Identifying strategic direction and plans that will likely be most effective based on global benchmarking and current performance.
  2. Help identify potential impediments and constraints that will limit success and ability to achieve goals and objectives.
  3. Reveal possibilities, likelihood and limitations to effecting positive change.
  4. Facilitate identifying and exploring new solutions to existing challenges.
  5. Act as a tool to facilitate brainstorming ideas and a recording and documentation for communication across multiple disciplines and stakeholders.
  6. Supporting and enhancing the credibility of data

The above is the preliminary raw data analytics. Analytical observations and conclusions to follow. However, to a great extent the Covid 19 Key Performance Indicators (KPIs) defined above speak for themselves, when used in conjunction with comparison data for other countries for benchmarking and performance analysis.

Correlation of KPI performance to country specific individual strengths and weaknesses requires further work including statistical, regression and/or other pattern recognition analytics. Further extension of this work will be development of country specific prediction and forecasting models for Covid-19 to support healthcare planning and intervention.