Table 2.

Results of the clustering experiments

Experiment 1	Clustering of COVID‐19 cases with vaccine coverage
	Cluster	Number of countries	BCG	DTP1	HiB3	Measles	IPV1	RCV
	1	26	92.57692	88.57692	78.15385	80.50000	61.42308	79.46154
	2	96	89.25000	97.03125	93.96875	93.29167	95.52083	93.11458
Experiment 2	Clustering of COVID‐19 cases based on various infectious diseases prevalence and % of aged population
	Cluster	Number of countries	HIV per 100,000 population	Malaria per 100,000 population	COVID‐19 cases per 100,000 population	TB per 100,000 population	% of population with age 65 or above
	1	27	2263.1220	28,846.9640	17.0721	231.1852	2.7889
	2	70	1333.0150	1299.0770	334.9131	133.7500	6.9075
Experiment 3	Clustering of COVID‐19 cases along with various confounders
	Cluster	Number of countries	HDI	Airline passenger counts per million population	COVID‐19 cases per million population	COVID‐19 tests performed per million population
	1	2	0.9365000	26,686,333.0	5257.8920	125,125.75
	2	18	0.8861111	3,900,318.5	2863.5187	42744.62
	3	98	0.7094388	448,151.9	787.3707	15445.51
Experiment 4	Clustering of COVID‐19 cases with BCG coverage, malaria transmission, and number of airline passengers
	Cluster	Number of countries	BCG coverage	Airline Passenger counts	COVID‐19 cases	Malaria cases
	1	13	72.30769	92,547,922	103,276.23	615,065.5
	2	2	49.50000	700,318,755	434,262.50	0.0
	3	79	86.92405	5,083,230	13,136.57	2,497,394.0

Note: The cells represent cluster centers.