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Table 1 Joinpoint regression model for detection rate of hepatitis C considering anti-HCV or HCV RNA positivity and considering anti-HCV and HCV RNA positivity by federative unit and region of residence and year of notification (Brazil, 2008–2018)

From: A time series analysis of detection and mortality of hepatitis C in Brazil, 2008–2018

Region/federative unit

Anti-HCV positive or HCV RNA positive

Anti-HCV positive and HCV RNA positive

Rate

Joinpoint regression model

Trend

Rate

Joinpoint regression model

2008

2018

Period

APC/AAPC

95% CI; p value

2008

2018

Period

APC/AAPC

95% CI; p value

Trend

Brazil

10.6

13.3

2008–2018

2.0

0.9 to 3.0; p < 0.001

5.3

6.5

2008–2018

1.6

0.2 to 3.1; p < 0.001

North

4.2

6.0

2008–2018

4.7

1.4 to 8.1; p < 0.001

1.8

1.6

2008–2018

− 0.2

− 7.1 to 7.1; p = 0.9

 ↔ 

Rondônia

9.8

11.7

2008–2018

12.2

2.6 to 22.7; p < 0.001

1.9

3.9

2008–2018

17.0

4.4 to 31.0; p < 0.001

Acre

24

13.4

2008–2018

− 7.5

− 14.2 to − 0.4; p < 0.001

20.7

0.7

2008–2018

− 26.3

− 35.6 to − 15.6; p < 0.001

2008–2014

− 8.7

− 22.9 to 8.1; p = 0.2

 ↔ 

2014–2018

− 46.5

− 61.8 to − 25.1; p < 0.001

Amazonas

2.3

8.1

2008–2018

13.8

6.2 to 21.8; p < 0.001

0.5

3.5

2008–2018

40.5

− 55.3 to 341.8; p = 0.6

 ↔ 

2008–2013

42.6

26.4 to 60.9; p < 0.001

2008–2013

126.9

− 11.5 to 481.9; p = 0.07

 ↔ 

2013–2018

− 9.3

− 19.6 to 2.4; p = 0.09

 ↔ 

2013–2016

− 62.4

− 99.7 to 5328.4; p = 0.6

 ↔ 

    

2016–2018

206.6

− 98.0 to 46,750.5; p = 0.5

 ↔ 

Roraima

11.1

12.6

2008–2018

− 2.7

− 4.8 to − 0.6; p < 0.001

0.7

0.8

2008–2018

Pará

1.5

3.4

2008–2018

8.4

3.1 to 13.9; p < 0.001

0.5

0.6

2008–2018

2.1

− 0.6 to 4.9; p = 0.1

 ↔ 

Amapá

8.0

3.8

2008–2018

− 5.1

− 9.5 to − 0.4; p < 0.001

5.7

1.2

2008–2018

− 10.0

− 14.8 to − 4.9; p < 0.001

Tocantins

3.7

2.8

2008–2018

− 0.5

− 3.6 to 2.7; p = 0.7

 ↔ 

0.5

0.6

2008–2018

3.3

− 37.5 to 70.7; p = 0.9

 ↔ 

2008–2010

− 63.9

− 98.7 to 939.0; p = 0.4

 ↔ 

2010–2014

100.8

− 25.3 to 439.8; p = 0.1

 ↔ 

2014–2018

− 10.2

− 50.8 to 63.9; p = 0.6

 ↔ 

Northeast

2.2

4.1

2008–2018

5.6

− 2.1 to 13.9; p = 0.2

 ↔ 

1.0

2.2

2008–2018

7.8

1.0 to 15.0; p < 0.001

2008–2012

11.8

3.1 to 21.2; p < 0.001

2008–2012

13.5

5.8 to 21.7; p < 0.001

2012–2015

− 6.0

− 34.8 to 35.5; p = 0.6

 ↔ 

2012–2015

− 7.6

− 32.5 to 26.5; p = 0.5

 ↔ 

2015–2018

10.1

− 4.9 to 27.5; p = 0.1

 ↔ 

2015–2018

17.4

3.5 to 33.2; p < 0.001

Maranhão

2.7

3.1

2008–2018

− 2.7

− 8.6 to 3.6; p = 0.3

 ↔ 

1.1

1.3

2008–2018

0.3

− 8.1 to 9.6; p = 0.9

 ↔ 

Piauí

0.2

2.2

2008–2018

28.5

20.3 to 37.3; p < 0.001

0.1

1.5

2008–2018

34.8

24.6 to 45.9; p < 0.001

2008–2011

109.0

64.1 to 166.0; p < 0.001

2008–2011

130.0

71.6 to 208.2; p < 0.001

2011–2018

4.3

− 1.4 to 10.4; p = 0.1

 ↔ 

2011–2018

7.2

0.7 to 14.2; p < 0.001

Ceará

1.7

3

2008–2018

5.0

2.7 to 7.3; p < 0.001

0.7

1.5

2008–2018

8.3

4.4 to 12.4; p < 0.001

Rio Grande do Norte

3.6

3.8

2008–2018

1.9

− 6.1 to 10.6; p = 0.6

 ↔ 

2.2

2.1

2008–2018

1.8

− 4.1 to 8.0; p = 0.6

 ↔ 

2008–2012

− 1.5

− 9.8 to 7.5; p = 0.6

 ↔ 

2008–2015

− 7.2

− 11.4 to − 2.8; p < 0.001

2012–2015

− 12.8

− 41.3 to 29.4; p = 0.3

 ↔ 

2015–2018

26.2

1.2 to 57.4; p = 0.04

 ↔ 

2015–2018

24.8

6.5 to 46.2; p < 0.001

Paraíba

0.7

3.4

2008–2018

14.3

− 4.0 to 36.1; p = 0.1

 ↔ 

0.1

2.4

2008–2018

38.4

12.7 to 69.9; p < 0.001

2008–2010

95.2

− 28.6 to 433.9; p = 0.2

 ↔ 

2008–2010

239.8

− 0.6 to 1061.8; p = 0.05

 ↔ 

2010–2018

− 0.0

− 10.0 to 11.1; p = 1.0

 ↔ 

2010–2018

10.6

1.2 to 20.8. p < 0.001

Pernambuco

2.0

2.3

2008–2018

2.8

− 6.4 to 12.9; p = 0.5

 ↔ 

0.3

0.4

2008–2018

14.2

− 16.3 to 55.9; p = 0.4

 ↔ 

2008–2012

101.5

− 6.1 to 332.2; p = 0.06

 ↔ 

2012–2018

− 21.8

− 47.6 to 16.7; p = 0.2

 ↔ 

Alagoas

2

4.2

2008–2018

4.8

− 2.1 to 12.2; p = 0.2

 ↔ 

1

1.6

2008–2018

0.9

− 5.3 to 7.6; p = 0.7

 ↔ 

2008–2013

− 10.3

− 20.5 to 1.1; p = 0.06

 ↔ 

2013–2108

22.5

8.7 to 38.1; p < 0.001

Sergipe

3.6

5.1

2008–2018

0.2

− 3.4 to 3.9; p = 0.9

 ↔ 

2

3.6

2008–2018

2.3

− 2.2 to 7.0; p = 0.3

 ↔ 

Bahia

2.9

6.9

2008–2018

5.6

4.0 to 7.2; p < 0.001

1.7

4

2008–2018

3.9

0.0 to 7.9; p = 0.04

 ↔ 

Southeast

15

17.4

2008–2018

0.8

− 0.8 to 2.4; p = 0.3

 ↔ 

8.4

9.6

2008–2018

0.2

− 1.7 to 2.2; p = 0.8

 ↔ 

Minas Gerais

3.9

8.6

2008–2018

8.6

5.3 to 12.0; p < 0.001

1.6

4.1

2008–2018

7.7

3.3 to 12.2; p < 0.001

Espírito Santo

6.2

6.3

2008–2018

3.3

− 0.7 to 7.4; p = 0.09

 ↔ 

2.4

2.4

2008–2018

3.4

− 1.6 to 8.7; p = 0.2

 ↔ 

Rio de Janeiro

8

10.9

2008–2018

3.2

− 4.1 to 11.1; p = 0.4

 ↔ 

2.7

7.2

2008–2018

9.3

2.1 to 17.0; p < 0.001

2008–2011

22.2

− 5.9 to 58.6; p = 0.1

 ↔ 

2011–2018

− 4.0

− 10.4 to 2.8; p = 0.2

 ↔ 

2008–2011

47.4

15.6 to 87.8; p < 0.001

   

 ↔ 

2011–2018

− 3.8

− 9.6 to 2.4; p = 0.2

 ↔ 

São Paulo

23.9

24.8

2008–2018

− 0.4

− 1.9 to 1.0; p = 0.5

 ↔ 

14.3

13.8

2008–2018

− 1.3

− 3.4 to 0.8; p = 0.2

 ↔ 

South

19.5

27.4

2008–2018

3.5

1.3 to 5.7; p < 0.001

8.2

11.3

2008–2018

3.2

0.3 to 6.2; p < 0.001

2008–2015

6.9

4.9 to 8.9; p < 0.001

2008–2018

9.6

7.1 to 12.2; p < 0.001

2015–2018

− 4.0

− 11.1 to 3.7 p = 0.2

 ↔ 

2008–2018

− 10.4

− 19.4 to − 0.4; p < 0.001

Paraná

7.8

12.9

2008–2018

6.5

1.6 to 11.7; p < 0.001

2.9

5

2008–2018

7.7

− 0.6 to 16.7; p = 0.06

 ↔ 

2008–2011

23.9

4.5 to 46.9; p < 0.001

2008–2011

42.1

6.4 to 89.8; p < 0.001

2011–2018

− 0.2

− 4.4 to 4.2; p = 0.9

↔ 

2011–2018

− 4.3

− 10.9 to 2.7; p = 0.2

 ↔ 

Santa Catarina

16.3

18.4

2008–2018

1.2

− 0.1 to 2.5; p = 0.07

↔ 

10

8.7

2008–2018

− 0.2

− 3.0 to 2.6; p = 0.9

 ↔ 

2008–2013

5.6

3.2 to 8.0; p < 0.001

2008–2011

7.0

− 3.6 to 18.7; p = 0.2

 ↔ 

2013–2018

− 3.0

− 5.2 to − 0.8; p < 0.001

2011–2018

− 3.2

− 5.5 to − 0.8; p < 0.001

Rio Grande do Sul

32.8

47.4

2008–2018

3.2

− 1.1 to 7.7; p = 0.1

↔ 

12.3

19.2

2008–2018

3.9

− 4.4 to 12.8; p = 0.4

↔ 

2008–2010

− 4.0

− 27.4 to 27.0; p = 0.7

↔ 

2008–2018

5.6

− 3.9 to 16.0; p = 0.2

↔ 

2010–2014

12.7

3.3 to 22.9; < 0.001

2008–2018

22.5

− 17.7 to 82.5; p = 0.2

↔ 

2014–2018

− 1.9

− 7.0 to 3.4; p = 0.3

↔ 

2008–2018

− 13.9

− 26.9 to 1.5; p = 0.6

↔ 

Central-West

6.2

6

2008–2018

− 0.6

− 1.7 to 0.7; p = 0.3

↔ 

2.1

2.2

2008–2018

0.9

− 1.6 to 3.3; p = 0.4

↔ 

Mato Grosso do Sul

8.6

9.5

2008–2018

2.3

− 11.3 to 17.9; p = 0.8

↔ 

1.8

5.2

2008–2018

13.4

− 11.9 to 46.1; p = 0.3

↔ 

2008–2013

1.1

− 7.5 to 10.4; p = 0.7

↔ 

2008–2013

18.5

1.0 to 39.0; p < 0.001

2013–2016

− 29.6

− 61.1 to 27.4; p = 0.2

↔ 

2013–2016

− 28.6

− 75.3 to 106.9; p = 0.4

↔ 

2016–2018

84.7

− 8.2 to 272.0; p = 0.06

↔ 

2016–2018

103.5

− 40.7 to 597.7; p = 0.2

↔ 

Mato Grosso

4.6

6

2008–2018

3.4

− 0.1 to 7.0; p = 0.05

↔ 

  

2011–2014

6.3

0.5 to 12.4; p < 0.001

2008–2013

13.4

6.6 to 20.5; p < 0.001

2014–2018

41.2

22.8 to 62.4; p < 0.001

2013–2018

− 5.7

− 11.3 to 0.3; p = 0.06

↔ 

2008–2018

− 12.1

− 18.1 to − 5.6; p < 0.001

Goiás

5.9

5.3

2008–2018

1.4

− 1.4 to 4.2; p = 0.3

↔ 

2.2

1.5

2008–2018

− 1.6

− 11.3 to 9.2; p = 0.8

↔ 

2008–2011

− 10.0

− 26.7 to 10.4; p = 0.2

↔ 

2011–2014

18.5

− 28.3 to 95.8; p = 0.4

↔ 

2014–2018

− 8.4

− 18.5 to 2.8; p = 0.9

↔ 

Federal District

6.6

4.3

2008–2018

− 5.1

− 9.8 to 0.1; p = 0.05

↔ 

3.4

1.4

2008–2018

− 8.4

17.7 to 2.0; p = 0.09

↔ 

  1. *Two years with values of zero, making analysis impossible. Trend classification: ↔ stationary; ↑ increasing; ↓ decreasing. AAPC = average annual percent change. APC = annual percent change. CI = confidence interval