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Fig 1.

Speed of COVID-19 spreading as of August 5, 2020.

Speed was calculated as incidence per country by August 5 minus incidence by July 21 divided by incidence by August 5. In grey are countries without data. Microsoft product screenshots reprinted with permission from Microsoft Corporation.

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Fig 2.

Incidence as a function of speed of COVID-19 in countries as by August 5, 2020.

106 countries with first case reported before March 11, 2020. The area of circles is proportional to country population. The red area contains the cluster of counties with the highest exposure risk to COVID-19. The blue area contains the cluster of countries with lowest risk as by August 5, 2020.

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Fig 3.

Exposure risk to COVID-19 by cluster of countries as of August 5, 2020.

Risk ranging from zero (low) to one (high), based on incidence per country and speed. Colored 106 countries with first case reported before March 11, 2020 (84% of world population). In grey countries with first case reported after this date. Pie charts showing the population per country exposed to risk in each cluster. Microsoft product screenshots reprinted with permission from Microsoft Corporation.

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Fig 4.

Indicator sensitivity to the pandemic control in Brazil, U.S., India, China, Germany, and New Zealand.

Sensitivity could range from 0 (inverse compliance with the risk) to 18 (total compliance with the risk). The horizontal axis is labeled with each indicator sensitivity. Each colored area demonstrates a cluster of indicator sensitivity. The pie chart shows the total of indicators by the sensitivity cluster.

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Fig 5.

Indicator sensitivity by factor in Brazil, U.S., India, China, Germany and New Zealand.

The bars show the total of indicators per sensitivity cluster for each vulnerability factor.

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Table 1.

High indicators sensitivity cluster.

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Table 2.

Medium indicators sensitivity cluster.

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Fig 6.

Exposure risk to COVID-19 as a function of each indicator.

Risk: 0 (low) to 1 (high). Indicator: 0 (bad) to 1 (good). One example of indicator by each sensitivity cluster: Blue = High. Green = Medium. Yellow = Low. Orange = No. A good indicator for risk prediction focuses on countries that have fought the pandemic well in the lower right quadrant of the graph and countries that have fought poorly in the upper left quadrant. Factor type: PH = Public Health. PD = Political-Domestic. HC = Health Care. DD = Dinamic Disease. Trend line for each indicator (Most negative slope = most sensitive indicator. Most positive slope = least sensitive indicator). The area of circles is proportional to the country population. BR = Brazil. US = United States of America. IN = India. CN = China. DE = Germany. NZ = New Zealand.

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Fig 7.

Exposure risk to COVID-19 as a function of IDVI factor published in 2016.

Risk: 0 (low) to 1 (high). IDVI factor: 0 (bad) to 1 (good). The IDVI and IDVI factors by sensitivity cluster: Blue = High. Green = Medium. A good indicator for risk prediction focuses on countries that have fought the pandemic well in the lower right quadrant of the graph and countries that have fought poorly in the upper left quadrant. Factor type: PH = Public Health. PD = Political-Domestic. HC = Health Care. DD = Dinamic Disease. IDVI = Infectious Disease Vulnerability Index. Trend line for each indicator (Most negative slope = most sensitive indicator. Most positive slope = least sensitive indicator). The area of circles is proportional to the country population. BR = Brazil. US = United States of America. IN = India. CN = China. DE = Germany. NZ = New Zealand.

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Table 3.

The sensitivity of the IDVI factors published in 2016.

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Fig 8.

Indicators in which U.S. ranked fourth or above.

Indicator Sensitivity (blue points), values could range from 0 (inverse compliance with the risk) to 18 (total compliance with the risk). The horizontal axis labeled with each indicator. Relevant Position of the Group to Indicator (columns, colored according to position). Indicators were ordered according to sensitivity (highest first).

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Fig 9.

Indicators in which Brazil ranked fourth or above.

Indicator Sensitivity (blue points), values could range from 0 (inverse compliance with the risk) to 18 (total compliance with the risk). The horizontal axis labeled with each indicator. Relevant Position of the Group to Indicator (columns, colored according to position). Indicators were ordered according to sensitivity (highest first).

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Fig 10.

Indicators in which India ranked fourth or above.

Indicator Sensitivity (blue points), values could range from 0 (inverse compliance with the risk) to 18 (total compliance with the risk). The horizontal axis labeled with each indicator. Relevant Position of the Group to Indicator (columns, colored according to position). Indicators were ordered according to sensitivity (highest first).

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