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

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

   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
  1. 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.