Table 1 Municipalities and key factors that may modulate COVID-19 transmission.

From: Addressing the COVID-19 transmission in inner Brazil by a mathematical model

Municipality

Temperature

Humidity (%)

Density (inhab/km\(^2\))

Population size inhabitants

\(R_0\) (estimated)

HDI

Água Branca-AL

23.9

83.3

42.6

19,377

0.80

0.549

Altamira-PA

26.3

85.6

0.6

99,075

4.64

0.665

Avaré-SP

21.3

75.6

68.4

82,934

1.05

0.862

Bagé-RS

18.1

73.4

28.5

116,794

0.46

0.740

Bom Jesus-PI

26.2

61.9

4.1

22,629

1.50

0.668

Botucatu-SP

19.3

67.0

85.9

127,328

1.14

0.800

Cáceres-MT

19.3

75.0

85.9

87,942

1.69

0.708

Caracaraí-RR

27.2

80.1

0.4

18,398

1.22

0.624

Chapecó-SC

19.3

76.0

293.1

183,530

1.89

0.790

Colatina-ES

25.0

77.5

78.9

111,788

0.99

0.746

Cruzeiro do Sul-AC

25.7

84.5

8.9

78,507

2.71

0.510

Dourados-MS

22.3

77.6

48.0

196,035

1.67

0.747

Feira de Santana-BA

25.2

82.2

416.0

556,642

1.31

0.712

Imperatriz-MA

26.6

80.2

180.8

247,505

2.69

0.731

Itaperuna-RJ

23.3

76.6

86.7

95,841

2.53

0.730

Itumbiara-GO

24.3

72.7

37.7

92,883

6.65

0.752

Lages-SC

16.6

81.1

56.6

156,727

3.44

0.770

Marabá-PA

27.0

83.3

15.4

233,669

2.44

0.668

Maringá-PR

22.9

70.4

733.1

357,077

1.06

0.808

Mossoró-RN

27.7

81.4

123.8

259,815

1.16

0.720

Parintins-AM

27.0

86.3

123.8

102,033

4.67

0.658

Patos-PB

27.2

70.1

212.8

100,674

3.76

0.701

Petrolina-PE

25.4

60.1

64.4

293,962

2.95

0.702

Presidente Prudente-SP

24.0

66.3

368.9

207,610

2.25

0.806

Quixeramobim-CE

26.4

73.3

22.0

71,887

3.03

0.642

Remanso-BA

26.7

68.6

8.3

38,957

1.12

0.579

Santa Maria-RS

19.4

81.3

146.0

261,031

1.03

0.784

Sobral-CE

26.0

85.9

88.7

188,233

3.54

0.714

Uberlândia-MG

22.8

73.9

146.8

604,013

1.33

0.789

  1. Each line brings the variables value of the city pointed in the first column. In the case of temperature and humidity the values are the average one observed in April month in each locality31. The other factors like density, population size, and Human Development Index (HDI) come from government’s website13; \(R_0\) are estimated from data32.