. 2023 Jan 11;23:79. doi: 10.1186/s12889-022-14450-9

Table 2.

Summary statistics for circular high- or low-risk clusters of number of COVID-19 tests and percent of persons with COVID-19 positive tests

Outcome variable	Cluster type	Cluster	Cases/100,000	Population	Observed cases	Expected cases	No. of counties	p-value
Number of COVID-19 tests per 100,000 persons	High risk	Cluster 1	15,912	2,804,160	447,143	363,599	1	< 0.001
	High risk	Cluster 2	19,992	263,753	52,841	34,199	1	< 0.001
	Low risk	Cluster 1	9,137	1,371,878	125,619	177,883	6	< 0.001
		Cluster 2	9,072	669,752	60,889	86,842	6	< 0.001
		Cluster 3	10,237	1,105,034	113,363	143,283	3	< 0.001
Percent of persons with COVID-19 positive tests	High risk	Cluster 1	14.2^a	132,987	18,927	14,573	4	< 0.001
	Low risk	Cluster 1	6.4^a	331,017	21,276	36,275	32	< 0.001
		Cluster 2	6.5^a	136,951	8,854	15,008	4	< 0.001
		Cluster 3	6.1^a	58,436	3,573	6,403	2	< 0.001
		Cluster 4	8.4^a	62,919	5,316	6,895	2	< 0.001
		Cluster 5	5.4^a	11,459	624	1,255	1	< 0.001
		Cluster 6	7.9^a	8,222	651	901	1	< 0.001

^aExpressed as a percentage