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Table 1 The implementation statistics of various measures by different income-based country groups. The shaded cells represent the highest percentage value for the corresponding rows

From: How do economic and public finance statuses affect policy responses during a pandemic? – learning from the COVID-19 first wave

Measure

Income-based country group

High (75)

Upper middle (52)

Lower middle (43)

Low (30)

Public health measures

 School

64 (85%)

51 (98%)

42 (98%)

29 (97%)

 Domestic lockdown

43 (57%)

45 (87%)

31 (72%)

17 (57%)

 Travel

55 (73%)

51 (98%)

42 (98%)

29 (97%)

 Curfew

15 (20%)

36 (69%)

14 (33%)

19 (63%)

 Mass gathering

52 (69%)

43 (83%)

40 (93%)

24 (80%)

 Election

17 (23%)

17 (33%)

12 (28%)

5 (17%)

 Sport

51 (68%)

36 (69%)

30 (70%)

23 (77%)

 Restaurant

49 (65%)

39 (75%)

32 (74%)

20 (67%)

 Testing

45 (60%)

25 (48%)

21 (49%)

11 (37%)

 Masks

36 (48%)

36 (69%)

32 (74%)

17 (57%)

 Surveillance

25 (33%)

8 (15%)

9 (21%)

1 (3%)

 State emergency

38 (51%)

37 (71%)

24 (56%)

17 (57%)

Economic measures

 Cash

33 (44%)

38 (73%)

29 (67%)

13 (43%)

 Wage

46 (61%)

33 (63%)

19 (44%)

8 (27%)

 Credit scheme

43 (57%)

31 (60%)

20 (47%)

7 (23%)

 Tax credit

34 (45%)

24 (46%)

28 (65%)

15 (50%)

 Tax delay

43 (57%)

30 (58%)

27 (63%)

12 (40%)

 Export

23 (31%)

17 (33%)

9 (21%)

5 (17%)

 Interest rate

47 (63%)

32 (62%)

34 (79%)

22 (73%)