Effects of georeferencing effort on mapping monkeypox case distributions and transmission risk

Table 1 Comparison of georeferencing match rates across countries and sub-national units for each different method

		Researched		Worked		Automated
*Country*
Sub-national unit	WHO Locations	Matched	%	Matched	%	Matched	%
Cameroon	2	0/2	0	1/2	50	0/2	0
Centre	2	0/2	0	1/2	50	0/2	0
Central African Republic	2	0/2	0	0/2	0	0/2	0
Sangha	2	0/2	0	0/2	0	0/2	0
Democratic Republic of the Congo	220	99/220	45	112/220	51	67/220	30
Bandundu	37	14/37	38	23/37	62	12/37	32
Bas Zaire	0	0/0	n/a	0/0	n/a	1/0*	n/a
Equateur	143	62/143	43	71/143	50	38/143	27
Haut Zaire	3	2/3	67	9/3*	n/a	8/3*	n/a
Kasai Occidental	3	2/3	67	1/3	33	2/3	67
Kasai Oriental	31	19/31	61	6/31	19	5/31	16
Kivu	3	0/3	0	2/3	67	0/3	0
Shaba	0	0/0	n/a	0/0	n/a	1/0*	n/a
Ivory Coast	2	2/2	100	2/2	100	1/2	50
Abengourou	1	1/1	100	1/1	100	0/1	0
Haut-Sassandra	1	1/1	100	1/1	100	1/1	100
Liberia	2	2/2	100	0/2	0	0/2	0
Grand Gedeh	2	2/2	100	0/2	0	0/2	0
Nigeria	2	2/2	100	1/2	50	1/2	50
East Central	1	1/1	100	0/1	0	0/1	0
Oyo	1	1/1	100	1/1	100	1/1	100
Sierra Leone	1	1/1	100	0/1	0	0/1	0
Southern	1	1/1	100	0/1	0	0/1	0
Overall	231	106/231	46	116/231	50	69/231	30

The number of MPX case localities were matched at different rates in different national and sub-national units (i.e. state or province), which are expressed as fractions and percentages, relative to numbers of unique localities reported there in the WHO spreadsheet. Bolded regions in the DRC represent likely errors of commission, where more localities were georeferenced than would be expected based on the WHO spreadsheet. Asterisks identify probable specific instances of this type of error, such that calculating match rate percentages are not useful.

ISSN: 1476-072X