{"id":1326,"date":"2021-01-25T21:30:23","date_gmt":"2021-01-25T16:00:23","guid":{"rendered":"https:\/\/www.medglobalhealth.com\/?page_id=1326"},"modified":"2021-09-06T17:39:08","modified_gmt":"2021-09-06T12:09:08","slug":"covid-19-global-statistical-analysis","status":"publish","type":"page","link":"https:\/\/medglobalhealth.com\/?page_id=1326","title":{"rendered":"Covid-19 Global Statistical Analysis"},"content":{"rendered":"

[vc_row][vc_column][vc_empty_space][vc_column_text]<\/p>\n

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

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.<\/p>\n

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.<\/p>\n<\/div>\n

[\/vc_column_text]<\/i> Look presentation<\/a>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row pioneer_ellements_style=”Without Paddings”][vc_column][vc_column_text]<\/p>\n

\u00a031 July, 2021<\/div>\n
Comparative Statistical Data as at 31 July, 2021<\/div>\n
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Table 1 (Vaccinations, Covid 19 Confirmed Cases):<\/div>\n
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Table 2 (Testing, Recoveries, Deaths, Active Cases):<\/div>\n
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Table 3 (Mild, Serious\/Critical; Population: Median Age, Over 65, Life Expectancy, Urbanisation, Literacy):<\/div>\n
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Table 4 (Resources: PPP GDP, PPP GDP per Capita; Health Infrastructure: Health % of GDP spending, Physician & Hospital Bed Density; Infectious Disease Risk; Obesity):<\/div>\n
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[\/vc_column_text][vc_single_image image=”1678″ img_size=”full” onclick=”link_image”][\/vc_column][\/vc_row][vc_row pioneer_ellements_style=”Without Paddings”][vc_column][vc_column_text]<\/p>\n

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Strengths and Weaknesses<\/div>\n
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[\/vc_column_text][vc_column_text]<\/p>\n

For this study the following factors were considered as strengths or weaknesses internal to a country:<\/span><\/h3>\n

[\/vc_column_text][vc_column_text]Population Demography :<\/span><\/strong><\/p>\n

    \n
  1. Percentage of Population 65 years or older<\/li>\n
  2. Median Age of population<\/li>\n
  3. Urban Population (as a percentage of total<\/li>\n
  4. Literacy rate<\/li>\n<\/ol>\n

    [\/vc_column_text][vc_column_text]Population Health Risk Factors :<\/span><\/strong><\/p>\n

      \n
    1. Life Expectancy at birth<\/li>\n
    2. Adult prevalence of Obesity (as a percentage)<\/li>\n
    3. Major Infectious Disease Risk assessment (only available for limited countries)<\/li>\n<\/ol>\n

      [\/vc_column_text][vc_column_text]Health Infrastructure :<\/span><\/strong><\/p>\n

        \n
      1. Physician Density per 1,000<\/li>\n
      2. Hospital Bed Density per 1,000<\/li>\n
      3. Healthcare expenses as a percentage of GDP<\/li>\n<\/ol>\n

        [\/vc_column_text][vc_column_text]Economic Strength and Financial \/Technology Resources :<\/span><\/strong><\/p>\n

          \n
        1. Gross Domestic Product (GDP) on Purchasing Power Parity (PPP) measurement basis<\/li>\n
        2. Per Capita PPP GDP<\/li>\n<\/ol>\n

          [\/vc_column_text][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” equal_height=”yes” css_animation=”fadeIn” css=”.vc_custom_1611590824334{background-color: #ffffff !important;}” el_class=”text-center-responsive”][vc_column css_animation=”none”][vc_column_text]<\/p>\n

          <\/div>\n
          Opportunities and Threats<\/div>\n
          <\/div>\n

          [\/vc_column_text][vc_column_text]<\/p>\n

          For this study the following factors are considered as opportunities or threats\/risks that are external to a country:<\/span><\/h3>\n

          [\/vc_column_text][vc_column_text]Covid 19 Source Data<\/span><\/strong><\/p>\n

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

            Covid 19 Analytic Data \/ Key Performance Indicators (KPIs)<\/span><\/strong><\/p>\n

              \n
            1. Percentage of Global Confirmed Cases – as reported by countries as infected with Covid 19<\/li>\n
            2. Percentage of (Country) Population Infected with Covid 19<\/li>\n
            3. Infected as a Percentage of Tested<\/li>\n
            4. Percentage of Population Tested<\/li>\n
            5. Tested as a Multiplier of Confirmed Cases<\/li>\n
            6. Recovered \/ Discharged as Percentage of Confirmed Cases<\/li>\n
            7. Recovered \/ Discharged as Percentage of Closed Cases<\/li>\n
            8. Deaths as Percentage of Confirmed Cases<\/li>\n
            9. Deaths as Percentage of Closed Cases<\/li>\n
            10. Mild Condition as Percentage of Confirmed Cases<\/li>\n
            11. Mild Condition as Percentage of Active Cases<\/li>\n
            12. Serious \/ Critical Condition as Percentage of Confirmed Cases<\/li>\n
            13. Serious \/ Critical as Percentage of Active Cases<\/li>\n<\/ol>\n

              [\/vc_column_text][\/vc_column][\/vc_row][vc_row pioneer_ellements_style=”Without Paddings”][vc_column][vc_column_text]The below comparative analysis is based on a compilation of global statistics for Covid-19 vaccinations<\/strong>, testing<\/strong>, infections<\/strong> and deaths<\/strong> from multiple verified sources with related data for population demography<\/strong>, health risk factors<\/strong>, health care infrastructure<\/strong> and some key economic<\/strong> indicators.<\/p>\n

              These statistics are for a selected diverse list of twenty-five countries<\/strong>, spanning geography, population demography, health risk factors, economic development and health infrastructure, to facilitate the global comparative analysis and identification of potential influences \/ drivers.<\/p>\n

              The twenty-five countries chosen for the analysis include: USA, India, China, UK, Canada, Brazil, Russian Federation, France, Spain, Mexico, South Africa, Italy, Iran, Germany, Turkey, Israel, Portugal, Sweden, Japan, Singapore, Australia, South Korea, Sri Lanka, New Zealand, \u00a0and Vietnam.[\/vc_column_text][\/vc_column][\/vc_row][vc_row pioneer_ellements_style=”Without Paddings”][vc_column][vc_column_text]<\/p>\n

              July, 2021 Summary<\/div>\n
              <\/div>\n

              [\/vc_column_text][vc_tta_accordion][vc_tta_section title=”Vaccination Performance” tab_id=”1630680726706-9c4d2058-7338″][vc_column_text]\"\"<\/a><\/p>\n

               <\/p>\n

              Israel and Canada ranked at the top with 61% and 58% of their population fully vaccinated<\/strong> (with two doses) as at end of July 2021.\u00a0 Spain, UK, Portugal, Singapore, Italy and Germany were also able to fully vaccinate over 50% of their populations achieving a key milestone.<\/p>\n

              However, in terms of total number of vaccinations administered<\/strong> China (1.64 Billion), India (462 Million), and USA (and 345 Million) topped the list globally.\u00a0 During the month of July China<\/strong> administered an average of 13.2 Million doses per day<\/strong> while India<\/strong> came in second at about 4.35 Million doses per da<\/strong>y.\u00a0 In comparison USA <\/strong>administered an average of 645,000 doses per day<\/strong> in July.<\/p>\n

               <\/p>\n

              \"\"<\/a><\/p>\n

               <\/p>\n

              Canada topped the list with total vaccination doses administered<\/strong> at 129% of the population, Israel coming in second at 127%.\u00a0 Singapore (126%), UK (124%), and Spain (120%) were the next top performers.<\/p>\n

              Minimum single dose of vaccinations<\/strong> as a % of the population were topped by Canada and Singapore at about 71% with UK (68.5%) and Israel (66%).<\/p>\n

              [\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Testing” tab_id=”1630680726743-f1144243-7938″][vc_column_text]<\/p>\n

              \"\"<\/a><\/p>\n

               <\/p>\n

              The UK and Singapore topped the extent and coverage of Covid-19 testing<\/strong> with about 3.6 times and 2.7 times the population tested, followed by Israel (1.9 times), with France and USA (1.6 times).<\/p>\n

              As for volume of testing<\/strong>, USA tops the list at about 530 Million tests at the end of July, followed by India at 466.5 Million tests.\u00a0 UK has conducted 244 Million tests, Russian Federation 165 Million tests, and China 160 Million tests.\u00a0 Interestingly China stopped reporting further Covid-19 testing numbers around the third quarter in 2020 with the cumulative testing numbers remaining flat at 160 Million.<\/p>\n

              India topped the list in terms of the average testing rate per day<\/strong> in July at 1.8 Million tests\/day, with UK coming in at around 1.0 Million tests\/day, punching above its weight when compared to overall population size.\u00a0 USA did an average of 765,000 tests\/day with the Russian Federation averaging 506,000 tests\/day in July.\u00a0 It should be noted that although India topped the list for average daily testing at 1.8 Million per day it should ideally be averaging around 5.0 Million tests per day given the scale of Indian population size currently estimated at very close to 1.4 Billion.<\/p>\n

              [\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Covid-19 Confirmed Cases” tab_id=”1630691742637-b67c5d84-b1bd”][vc_column_text]<\/p>\n

              \"\"<\/a><\/strong><\/p>\n

              Confirmed Covid-19 Cases per 1 Million population<\/strong> is highest for Sweden (108,000) and USA (107,000) followed by Israel (99,000).\u00a0 Whereas China (64), New Zealand (586), Australia (1,338), Vietnam (1,530), and South Korea (3,900) have performed significantly better at containing the Covid-19 infections among its population based on the \u2018officially\u2019 reported statistics.\u00a0 It should be noted that the extent and depth of coverage for Covid-19 population testing will influence this Key Performance Indicator (KPI).<\/p>\n

              Covid-19 Infection Rate as a percentage of number of Tests<\/strong> is another excellent metric and key performance indicator (KPI) for\u00a0 gauging the rate of infection spread<\/strong> among the population.\u00a0 It should be noted that this is a \u2018cumulative\u2019<\/strong> KPI to 31 July 2021 since inception. As per the chart below Brazil and Mexico have the highest Covid-19 infection rate at 36% and 34% respectively, followed by South Africa (16.5%) and Iran (15%).\u00a0 Whereas China, New Zealand and Australia have some of the lowest infection rate of 0.1%, followed by Singapore (0.4%), Vietnam (1.3%) and South Korea (1.7%).\u00a0 UK (2.4%), Canada (3.7%) and the Russian Federation (3.8%) are also on lower end of the infection rate, with USA (6.7%) and India (6.8%) in the mid-range although the later two countries have the highest total number of confirmed Covid-19 cases globally.\u00a0\u00a0 Another way to look at this, in USA and India about 1 in every 15 people tested for Covid-19 were confirmed as infected.<\/p>\n

              \"\"<\/a><\/p>\n

              In terms of highest \u2018cumulative\u2019 number of confirmed Covid-19 cases<\/strong>, USA officially reported 35.7 Million as at end of July, with India reporting 31.7 Million and Brazil 19.9 Million cases.<\/p>\n

              [\/vc_column_text][\/vc_tta_section][vc_tta_section title=”Covid-19 related Deaths” tab_id=”1630692053516-dbc5d89b-9391″][vc_column_text]<\/p>\n

              \"\"<\/a><\/strong><\/p>\n

               <\/p>\n

              Confirmed Covid-19 related Deaths per 1 Million population<\/strong> is highest for Brazil (2,600) and Italy (2,120) followed by UK (1,900), USA (1,890) and Mexico (1,850).\u00a0 Whereas China (3), New Zealand (5), Singapore (6), Vietnam (13), Australia (36) and South Korea (41) have performed significantly better at containing the Covid-19 deaths among its population based on the \u2018officially\u2019 reported statistics.\u00a0 This correlates with the correspondingly lower Confirmed Covid-19 Cases per 1 Million population for these countries (please refer previous chart for comparison).\u00a0 Canada (700) and Israel (736) were around the mid-point with India officially reporting only 305 deaths for 1 Million.<\/p>\n

              \"\"<\/a><\/p>\n

               <\/p>\n

              Covid-19 related Deaths as a percentage of confirmed Cases<\/strong> is another excellent metric and key performance indicator (KPI) for gauging the death rate among the infected population<\/strong>.\u00a0 It should be noted that this is a \u2018cumulative\u2019<\/strong> KPI to 31 July 2021 since inception.\u00a0\u00a0 As per the chart below Mexico and China have the highest Covid-19 death rate at 8.5% and 5% respectively, followed by Italy and South Africa (2.9%), Brazil (2.8%) and Australia (2.7%).\u00a0 China\u2019s high death rate may be due to most deaths being reported in the initial stages of the pandemic in 2020 when the treatment protocols were not yet well established.\u00a0 Whereas Singapore reported the lowest death rate of 0.1%, followed by Israel (0.7%), Vietnam, Turkey and New Zealand (0.9%).\u00a0 UK (2.2%), Canada (1.9%) and USA (1.8%) are on the mid-range of the death rate.\u00a0 India reported a lower 1.3% death rate although it reported the third highest total number of confirmed Covid-19 deaths globally at the end of July 2021.<\/p>\n

              The highest \u2018cumulative\u2019 number of confirmed Covid-19 deaths<\/strong> officially reported were about 629,000 deaths for USA, 556,000 deaths for Brazil, and 424,000 deaths for India as at the end of July 2021.<\/p>\n

              [\/vc_column_text][\/vc_tta_section][\/vc_tta_accordion][\/vc_column][\/vc_row][vc_row pioneer_ellements_style=”Without Paddings”][vc_column][vc_column_text]<\/p>\n

              30 June, 2021<\/div>\n
              Comparative Statistical Data as at 30 June, 2021<\/div>\n
              <\/div>\n

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              Table 1 (Vaccinations, Covid 19 Confirmed Cases):<\/div>\n
              <\/div>\n

              [\/vc_column_text][vc_single_image image=”1642″ img_size=”full” alignment=”center” onclick=”link_image” css=”.vc_custom_1630692614734{margin-bottom: 0px !important;}”][\/vc_column][vc_column css_animation=”none” width=”1\/4″][vc_column_text]<\/p>\n

              Table 2 (Testing, Recoveries, Deaths, Active Cases):<\/div>\n
              <\/div>\n

              [\/vc_column_text][vc_single_image image=”1643″ img_size=”full” alignment=”center” onclick=”link_image”][\/vc_column][vc_column width=”1\/4″][vc_column_text]<\/p>\n

              Table 3 (Mild, Serious\/Critical; Population: Median Age, Over 65, Life Expectancy, Urbanisation, Literacy):<\/div>\n
              <\/div>\n

              [\/vc_column_text][vc_single_image image=”1644″ img_size=”full” onclick=”link_image”][\/vc_column][vc_column width=”1\/4″][vc_column_text]<\/p>\n

              Table 4 (Resources: PPP GDP, PPP GDP per Capita; Health Infrastructure: Health % of GDP spending, Physician & Hospital Bed Density; Infectious Disease Risk; Obesity):<\/div>\n
              <\/div>\n

              [\/vc_column_text][vc_single_image image=”1645″ img_size=”full” onclick=”link_image”][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n

              <\/div>\n
              Key Benefits of SWOT for Covid 19 Global Comparative Analysis<\/div>\n
              <\/div>\n

              [\/vc_column_text][vc_column_text]A SWOT methodology driven global comparative analysis for Covid 19 can be useful for:<\/span><\/p>\n

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

                The above is the preliminary raw data analytics. Analytical observations and conclusions to follow. However, to a great extent the Covid 19\u00a0Key Performance Indicators (KPIs)\u00a0defined above speak for themselves, when used in conjunction with comparison data for other countries for benchmarking and performance analysis.<\/p>\n

                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.<\/p>\n

                [\/vc_column_text][\/vc_column][\/vc_row][vc_row full_width=”stretch_row” css_animation=”fadeIn” pioneer_ellements_style=”Without Paddings” css=”.vc_custom_1624119724969{background-color: #ffffff !important;}” el_class=”text-center-responsive”][vc_column css_animation=”none”][vc_column_text]Appendix<\/span><\/strong>[\/vc_column_text][vc_row_inner][vc_column_inner width=”1\/2″][vc_wp_custommenu title=”Covid 19 Updates 2021″ nav_menu=”33″][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_wp_custommenu nav_menu=”34″ title=”Covid 19 Updates 2020″][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

                [vc_row][vc_column][vc_empty_space][vc_column_text] Covid-19 \/ SARS-Cov-2 Global Statistical and Comparative Analysis [\/vc_column_text][vc_row_inner][vc_column_inner width=”1\/2″ offset=”vc_hidden-sm vc_hidden-xs”][vc_single_image image=”1304″ img_size=”full” css=”.vc_custom_1611586004232{margin-bottom: 0px !important;margin-left: 100px !important;}”][\/vc_column_inner][vc_column_inner el_class=”text-center-responsive” width=”1\/2″ css=”.vc_custom_1498413087542{padding-top: 50px !important;padding-bottom: 75px !important;}” offset=”vc_col-xs-12″][vc_column_text] 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…<\/p>\n","protected":false},"author":1,"featured_media":1343,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"visual-composer.php","meta":{"footnotes":""},"class_list":["post-1326","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/medglobalhealth.com\/index.php?rest_route=\/wp\/v2\/pages\/1326","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/medglobalhealth.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/medglobalhealth.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/medglobalhealth.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/medglobalhealth.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1326"}],"version-history":[{"count":48,"href":"https:\/\/medglobalhealth.com\/index.php?rest_route=\/wp\/v2\/pages\/1326\/revisions"}],"predecessor-version":[{"id":1697,"href":"https:\/\/medglobalhealth.com\/index.php?rest_route=\/wp\/v2\/pages\/1326\/revisions\/1697"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/medglobalhealth.com\/index.php?rest_route=\/wp\/v2\/media\/1343"}],"wp:attachment":[{"href":"https:\/\/medglobalhealth.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1326"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}