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Table 2 Evaluation of resistance to pyriproxyfen and malathion in Aedes aegypti from Brazil, 2017–2018

From: Assessment of the susceptibility status of Aedes aegypti (Diptera: Culicidae) populations to pyriproxyfen and malathion in a nation-wide monitoring of insecticide resistance performed in Brazil from 2017 to 2018

N0

Reg

State

Town

Paddles

Adult mosquitoesa

Insecticide

total

posb

mean eggs in ppc

Ae. aegypti

Ae. albopictus

Pyriproxifen (Ae. aegypti larvae)

Malathion (Ae. aegypti adults)

femd

male

femd

male

EI% conte

EI% (DD 0.03)f

EI% corg

Mort% conth

Mort% (DD 20)i

Mort% (DD 50)j

1

N

AC

Cruzeiro do Sul

196

72

73.3

601

793

0

0

0.94

100.0

NN

0.00

58.2

99.3

2

N

AC

Rio Branco

294

188

83.8

2377

2533

0

0

1.61

100.0

NN

0.00

75.3

99.0

3

N

AC

Brasiléia

100

43

67.7

734

814

0

0

0.31

99.5

NN

0.00

71.4

99.4

4

N

AM

Parintins

196

39

69.5

90

54

96

91

0.94

100.0

NN

0.00

75.3

100.0

5

N

AM

São Gabriel da Cachoeira

200

46

101.7

423

383

0

0

3.25

100.0

NN

0.00

100.0

100.0

6

N

AM

Humaitá

200

67

28.9

696

690

0

0

1.88

100.0

NN

0.00

57.0

99.7

7

N

AM

Tabatinga

172

50

64.3

472

504

0

0

0.00

100.0

NN

0.00

68.7

98.7

8

N

AM

Coari

196

70

WI

253

216

0

0

0.63

100.0

NN

0.00

63.3

98.3

9

N

AM

Manaus

512

207

48.8

1021

1047

187

98

1.50

100.0

NN

0.00

41.0

98.0

10

N

AP

Macapá

265

79

32.5

296

209

0

0

0.31

100.0

NN

0.00

80.6

100.0

11

N

AP

Oiapoque

200

28

33.1

WI

WI

WI

WI

2.81

100.0

NN

0.00

93.3

100.0

12

N

AP

Calçoene

74

14

45.3

207

178

0

0

1.56

100.0

NN

0.00

76.4

98.8

13

N

PA

Santarém

302

87

43.7

362

382

102

78

5.00

100.0

NN

0.00

85.3

98.8

14

N

PA

Xinguara

202

35

107.0

515

501

0

0

0.94

99.5

NN

0.00

75.5

99.1

15

N

PA

Belém

600

361

55.0

1751

1787

419

342

1.33

99.5

NN

0.00

75.0

98.6

16

N

PA

Breves

202

26

101.7

516

512

4

7

1.87

99.5

NN

0.00

83.2

97.2

17

N

PA

Marabá

300

96

77.0

503

500

0

1

2.75

99.4

NN

0.00

79.5

100.0

18

N

PA

Altamira

304

103

66.9

526

503

4

28

3.44

99.1

NN

0.00

88.1

99.4

19

N

PA

Itaituba

200

102

96.2

426

392

416

280

2.19

98.9

NN

0.00

35.5

99.4

20

N

PA

Tucuruí

198

93

79.4

504

501

219

158

3.43

98.9

NN

0.00

80.1

96.6

21

N

PA

Redenção

200

29

88.7

384

321

1

1

0.63

98.3

NN

0.00

65.8

98.5

22

N

RO

Cacoal

196

52

29.3

329

414

0

8

0.00

100.0

NN

0.00

100.0

100.0

23

N

RO

Jaru

200

85

91,9

1843

1607

141

72

0.50

100.0

NN

0.00

99.0

100.0

24

N

RO

Porto Velho

300

116

54.0

1222

1042

257

167

0.75

99.9

NN

0.00

100.0

100.0

25

N

RO

Guajará-Mirim

194

58

44.4

1248

1374

0

0

0.31

99.8

NN

0.00

99.3

100.0

26

N

RO

Vilhena

200

79

57.1

1457

1583

0

0

0.00

99.2

NN

0.00

100.0

100.0

27

N

RR

Rorainópolis

WI

39

54.5

352

198

0

0

0.62

100.0

NN

0.00

87.4

100.0

28

N

RR

Boa Vista

300

166

78.4

2293

2428

1

6

0.25

98.8

NN

0.00

83.0

100.0

29

N

TO

Dianópolis

204

31

29.1

206

249

0

0

0.00

100.0

NN

0.00

99.3

100.0

30

N

TO

Palmas

288

92

77.7

578

262

12

32

2.25

100.0

NN

0.00

61.7

99.7

31

N

TO

Gurupi

208

35

30.1

240

251

0

0

0.63

99.9

NN

0.00

99.3

100.0

32

N

TO

Araguaína

344

129

45.7

501

500

1

1

2.49

98.4

NN

0.00

63.0

99.1

33

NE

AL

Maceió

386

102

60.9

496

395

41

20

1.56

100.0

NN

0.00

92.3

99.7

34

NE

AL

Arapiraca

296

92

80.2

1128

1007

0

0

0.31

99.1

NN

0.00

94.1

99.4

35

NE

AL

Delmiro Gouveia

184

87

37.8

523

309

0

0

5.00

98.6

NN

0.00

56.9

99.1

36

NE

BA

Irecê

210

23

17.2

48

59

0

0

0.63

100.0

NN

0.00

99.3

100.0

37

NE

BA

Salvador

878

327

84.7

2264

2349

140

173

0.31

100.0

NN

0.00

100.0

100.0

38

NE

BA

Teixeira de Freitas

220

83

51.8

503

502

0

0

3.44

98.8

NN

0.00

86.0

99.1

39

NE

BA

Itabuna

349

155

63.4

505

606

0

2

0.94

96.5

NN

0.00

89.1

98.1

40

NE

BA

Brumado

220

90

43.4

289

322

1

1

1.56

91.6

NN

0.00

86.8

99.1

41

NE

BA

Serrinha

204

99

47.0

500

500

0

0

0.63

85.8

NN

0.00

83.1

98.1

42

NE

CE

Fortaleza

696

269

67,1

1491

1829

80

92

1.94

100.0

NN

0.00

70.6

98.3

43

NE

CE

Sobral

300

97

70.8

872

927

0

0

1.88

99.8

NN

0.00

44.2

98.5

44

NE

CE

Crateús

100

WI

WI

871

1011

0

0

2.25

99.3

NN

0.00

31.3

97.3

45

NE

CE

Quixadá

192

34

74.3

76

64

0

0

3.75

97.7

NN

0.00

81.0

100.0

46

NE

CE

Icó

200

131

70.9

1919

1997

27

10

3.43

96.1

NN

0.00

87.3

100.0

47

NE

CE

Juazeiro do Norte

300

138

178.2

502

500

0

1

1.56

95.3

NN

0.00

58.8

99.1

48

NE

PB

Sousa

200

63

29.9

405

426

0

0

3.44

100.0

NN

0.00

75.0

99.3

49

NE

PB

João Pessoa

388

239

50.3

1756

1816

34

31

0.63

100.0

NN

0.00

64.3

91.3

50

NE

PB

Campina Grande

300

91

43.4

1007

1013

0

0

1.25

98.6

NN

0.00

87.2

99.7

51

NE

PB

Alagoa Grande

200

88

31.1

510

508

0

0

0.63

98.1

NN

0.00

88.9

99.4

52

NE

PE

Recife

891

455

66.1

731

730

87

68

0.00

100.0

NN

0.00

97.3

100.0

53

NE

PE

Salgueiro

224

18

22.9

86

127

0

0

0.31

100.0

NN

0.00

100.0

100.0

54

NE

PE

Garanhuns

219

47

22.6

274

297

0

0

0.94

100.0

NN

0.00

94.5

99.1

55

NE

PE

Petrolina

300

29

18.8

126

138

0

0

0.62

100.0

IS

IS

IS

IS

56

NE

PE

Palmares

198

90

74.6

962

877

102

71

0,31

99.8

NN

0.00

96.0

100.0

57

NE

PE

Araripina

WI

107

48.9

881

834

0

0

1.88

99.8

NN

0.00

37.6

98.8

58

NE

PE

Santa Cruz do Capibaribe

303

144

70.1

511

566

0

0

2.19

98.9

NN

0.00

93.9

99.1

59

NE

PI

Floriano

190

56

20.9

757

736

54

29

2.75

100.0

NN

0.00

100.0

100.0

60

NE

PI

Teresina

414

125

44.0

915

1034

360

273

2.00

99.8

NN

0.00

99.7

100.0

61

NE

PI

Parnaíba

251

190

78.3

1950

2191

77

63

0.25

99.6

NN

0.00

98.3

100.0

62

NE

PI

Picos

100

29

54.7

307

299

0

0

6.87

98.4

98.3

0.00

77.0

91.2

63

NE

PI

São Raimundo Nonato

100

23

20.1

165

191

0

0

2.58

98.3

NN

0.00

81.1

92.9

64

NE

RN

Natal

400

277

66.0

1761

1847

144

188

0.00

100.0

NN

0.00

100.0

100.0

65

NE

RN

Pau dos Ferros

238

45

59.1

806

854

0

0

0.83

100.0

NN

0.00

99.0

100.0

66

NE

RN

Jardim do Seridó

100

62

74.1

507

507

0

3

3.44

100.0

NN

0.00

87.2

99.4

67

NE

RN

Mossoró

298

205

78.6

2012

1858

0

0

1.00

99.9

NN

0.00

99.3

100.0

68

NE

MA

São Luís

406

154

58.0

1882

2148

152

102

1.56

100.0

NN

0.00

99.6

100.0

69

NE

SE

Aracaju

416

196

78.6

2438

2563

32

41

0.31

100.0

NN

0.00

99.3

100.0

70

NE

SE

Nossa Senhora da Glória

214

84

94.6

500

502

0

7

3.75

99.7

NN

0.00

85.5

98.4

71

NE

SE

Itabaiana

324

139

44.5

504

503

0

2

1.25

98.4

NN

0.00

95.0

99.7

72

NE

SE

Lagarto

328

192

78.2

508

500

0

2

4.00

98.2

NN

0.00

89.0

98.2

73

MW

DF

Brasília

291

35

50.8

454

526

6

8

1.25

100.0

NN

0.00

95.6

100.0

74

MW

GO

Minaçu

100

33

28.9

174

86

215

178

2.19

100.0

NN

0.00

71.6

100.0

75

MW

GO

Posse

200

81

45.6

564

535

237

203

1.25

100.0

NN

0.00

90.1

98.2

76

MW

GO

Cristalina

WI

98

54.2

1003

930

0

0

0.31

99.8

NN

0.00

82.7

93.4

77

MW

GO

Goiânia

604

222

58.3

2211

2129

84

60

3.44

99.4

NN

0.00

69.7

98.6

78

MW

GO

Iporá

200

133

82.3

508

509

0

8

0.50

99.1

NN

0.00

98.4

100.0

79

MW

GO

Jataí

214

121

43.7

513

502

0

0

0.75

98.3

NN

0.00

91.3

100.0

80

MW

GO

Morrinhos

WI

98

88.5

1375

593

1

0

0.94

98.1

NN

0.00

68.9

99.4

81

MW

MS

Corumbá

200

70

45.2

802

1099

0

0

0.00

100.0

NN

0.00

98.3

100.0

82

MW

MS

Dourados

300

126

58.8

1921

2104

6

7

0.00

100.0

NN

0.00

99.3

100.0

83

MW

MS

Três Lagoas

274

80

62.0

919

962

12

13

0.63

100.0

NN

0.00

97.6

100.0

84

MW

MS

Coxim

188

43

29.2

172

165

15

30

3.13

100.0

NN

0.00

98.5

99.7

85

MW

MS

Ponta Porã

189

46

43.0

455

453

0

0

4.69

100.0

NN

0.00

90.7

99.1

86

MW

MS

Campo Grande

408

67

44.6

663

611

0

0

0.31

99.1

NN

0.00

99.0

100.0

87

MW

MT

Cuiabá

394

28

74.1

2399

2369

62

88

0.31

100.0

NN

0.00

82.0

100.0

88

MW

MT

Rondonópolis

900

158

52.0

1207

1300

23

13

0.63

100.0

NN

0.00

82.5

100.0

89

MW

MT

Confresa

108

69

111.2

1581

1715

103

121

2.19

100.0

NN

0.00

62.1

99.7

90

MW

MT

Alta Floresta

118

56

83.4

1394

1411

246

170

2.18

100.0

NN

0.00

80.1

91.6

91

MW

MT

Água Boa

202

WI

WI

518

510

3

7

1.25

99.8

NN

0.00

92.6

100.0

92

MW

MT

Pontes e Lacerda

208

WI

WI

534

544

0

0

1.88

99.8

NN

0.00

84.2

99.1

93

MW

MT

Juína

132

93

72.8

735

1006

0

0

1.25

99.1

NN

0.00

94.1

99.4

94

MW

MT

Barra do Garças

200

101

59.3

503

503

7

34

1.88

98.7

NN

0.00

88.6

100.0

95

MW

MT

Sinop

150

17

30.8

102

85

2

0

0.94

98.7

NN

0.00

88.6

100.0

96

SE

ES

Cachoeiro do Itapemirim

286

163

61.3

1846

1925

248

293

1.88

100.0

NN

0.00

46.8

94.3

97

SE

ES

Vitória

448

233

86.3

278

291

9

4

3.00

99.5

NN

0.00

84.8

99.7

98

SE

ES

Nova Venécia

192

93

73.5

506

503

17

39

3.44

99.4

NN

0.00

88.2

99.1

99

SE

ES

Aracruz

202

WI

WI

500

531

2

13

1.24

98.1

NN

0.00

93.8

98.5

100

SE

RJ

Angra dos Reis

323

107

32.1

425

391

119

118

1.25

100.0

NN

0.00

72.0

100.0

101

SE

RJ

Campos dos Goytacazes

330

119

47.8

1386

1242

14

8

0.00

100.0

NN

0.00

99.3

100.0

102

SE

RJ

Volta Redonda

296

183

88.1

2140

2235

344

455

4.38

100.0

NN

0.00

76.2

100.0

103

SE

RJ

Rio de Janeiro

612

306

61.6

2399

2260

90

82

1.75

100.0

NN

0.00

83.0

99.0

104

SE

MG

Belo Horizonte

1,77

935

68.3

2360

2175

93

96

1.25

100.0

NN

0.00

79.3

100.0

105

SE

MG

Governador Valadares

288

230

60.2

1731

1916

95

114

2.50

100.0

NN

0.00

93.3

100.0

106

SE

MG

Juiz de Fora

404

37

27.2

218

244

46

20

0.00

100.0

NN

0.00

99.0

100.0

107

SE

MG

Montes Claros

396

68

20.9

131

136

0

0

0.94

100.0

NN

0.00

100.0

100.0

108

SE

MG

Uberaba

94

53

35.9

273

289

0

0

0.31

100.0

NN

0.00

98.3

100.0

109

SE

MG

Teófilo Otoni

296

110

29.8

502

502

55

45

4.38

100.0

NN

0.00

82.3

99.4

110

SE

MG

Coronel Fabriciano

264

WI

WI

107

103

0

0

1.25

99.2

NN

0.00

63.5

99.4

111

SE

MG

Varginha

292

39

19.4

210

191

6

3

4.38

98.4

NN

0.00

94.7

99.7

112

SE

MG

Patos de Minas

297

WI

WI

510

504

10

2

0.94

98.1

NN

0.00

90.2

99.7

113

SE

SP

Ribeirão Preto

WI

WI

WI

118

166

0

0

3.13

100.0

NN

0.00

97.5

100.0

114

SE

SP

Presidente Prudente

WI

WI

WI

521

555

0

0

3.13

100.0

NN

0.00

97.8

98.7

115

SE

SP

Sorocaba

WI

WI

WI

500

506

8

15

1.88

100.0

NN

0.00

97.9

98.5

116

SE

SP

São José do Rio Preto

WI

WI

WI

130

184

0

0

0.63

99.8

NN

0.00

95.1

99.1

117

SE

SP

São Sebastião

WI

WI

WI

515

505

32

2

2.81

99.8

NN

0.00

87.9

99.1

118

SE

SP

São Paulo

WI

WI

WI

500

529

0

0

0.63

99.5

NN

0.00

86.1

99.5

119

S

PR

Foz do Iguaçu

298

72

61.6

947

878

11

7

0.00

100.0

NN

0.00

86.7

100.0

120

S

PR

Londrina

400

180

77.4

1537

1955

37

59

1.25

100.0

NN

0.00

78.0

100.0

121

S

PR

Paranavaí

200

50

67.5

502

512

0

0

2.25

100.0

NN

0.00

91.1

98.8

122

S

PR

Maringá

400

149

60.4

504

500

0

3

2.50

100.0

NN

0.00

78.4

96.5

123

S

PR

Francisco Beltrão

194

29

31.3

241

241

0

0

0.00

99.1

NN

0.00

93.7

99.7

124

S

RS

Santa Rosa

200

116

76.3

164

123

3

0

3.85

100.0

NN

0.00

90.6

100.0

125

S

RS

Gravataí

292

175

58.8

584

776

0

42

3.13

99.7

NN

0.00

94.5

98.8

126

S

RS

Passo Fundo

300

164

36.6

528

668

0

1

1.25

99.7

NN

0.00

97.3

98.5

127

S

RS

Santa Maria

300

180

101.0

524

502

0

2

3.08

98.8

NN

0.00

57.8

98.8

128

S

RS

Quaraí

199

20

34.6

219

210

0

0

4.36

98.5

NN

0.00

94.0

100.0

129

S

SC

São Miguel do Oeste

200

51

46.1

664

637

18

6

0.31

99.8

NN

0.00

78.7

100.0

130

S

SC

Xanxerê

200

89

44.8

1000

1323

0

0

0.00

99.6

NN

0.00

73.3

99.1

131

S

SC

Itajaí

300

219

45.4

2074

2247

30

33

1.56

99.5

NN

0.00

87.7

100.0

132

S

SC

Chapecó

300

143

99.9

1050

1022

0

3

2.50

98.4

NN

0.00

98.1

100.0

  1. Notes: Results are presented in percentage of adult emergence inhibition (EI) or mortality to diagnostic doses of the insecticides. aAdult mosquitoes: total of adult mosquitoes (Ae. aegypti and Ae. albopictus) from rearing of each field population (F0 generation). bpos: positive paddle. cmean eggs in pp: mean eggs in positive paddle. dfem: female. eEI% cont: Percentage of adult emergence inhibition in control goup. fEI%: Percentage of adult emergence inhibition, 0.03 µg/l Diagnostic Dose (DD). gEI% cor: EI corrected by Abbott's formula if necessary (when was between 5% and 10%). hMort% cont: Percentage of mortality in control goup. iMort%: Percentage of mortality, 20 µg/l DD. jMort%: Percentage of mortality, 50 µg/l DD (WHO, 2016). Underlined: State capitals. Bold: non-susceptible population (EI or mortality below 98%) (WHO, 2016). WI: Without information. IS: Insufficient sample quantity to perform the assay. NN: Correction wasn't necessary. Regions acronyms: N: North, NE: Northeast, CW: Mid-West, SE: South-East, S: South. States acronyms: AC: Acre, AM: Amazonas, AP: Amapá, PA: Pará, RO: Rondônia, RR: Roraima, TO: Tocantins, AL: Alagoas, BA: Bahia; CE: Ceará, PB: Paraíba, PE: Pernambuco, PI: Piauí, RN: Rio Grande do Norte, MA: Maranhão, SE: Sergipe, DF: Distrito Federal, GO: Goiás, MS: Mato Grosso do Sul, ES: Espírito Santo, RJ: Rio de Janeiro, MG: Minas Gerais, SP: São Paulo, PR: Paraná, RS: Rio Grande do Sul, SC: Santa Catarina.