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Table 7 Factors influencing knowledge on AMR and safe use of antibiotics

From: Examining antibiotic use in Kenya: farmers’ knowledge and practices in addressing antibiotic resistance

 

Knowledge on AMR

Knowledge on safe use of antibiotic

Coefficient

Std. err.

Coefficient

Std. err.

Number of cattle

− 0.004***

0.012

− 0.008***

0.008

Number of goats

− 0.003***

0.008

− 0.008***

0.005

Number of sheep

0.006***

0.007

0.005***

0.004

Number of poultry

0.002***

0.003

0.001***

0.002

Gender (1 = male)

− 0.135

0.268

− 0.599

0.170

Education

0.314

0.099

0.325

0.063

Age category below 35

0.657

0.769

0.445

0.487

Age category between 36 and 60

0.814

3.038

− 0.120

1.925

Income KES10,000 (100USD)

0.908

2.642

0.714

1.675

Income KES40,001 (400USD)

1.130

2.704

1.067

1.714

Income between KES10,001 and 40,000

2.456

2.716

1.228

1.721

Rural (1 = yes)

− 0.030*

0.546

0.253

0.346

Antibiotics administered by a trained vet (1 = yes)

− 0.044*

1.033

− 0.745

0.655

Antibiotics administered by a non-trained person (1 = yes)

− 0.592

0.763

− 0.587

0.484

Livestock advice by government extension (1 = yes)

0.007***

0.284

− 0.275

0.180

Livestock advice by private extension (1 = yes)

− 0.822

1.323

0.751

0.838

Livestock advice by agro-dealer (1 = yes)

− 0.669

0.370

− 0.035

0.234

Livestock advice by family member or own experience (1 = yes)

− 0.899

0.443

− 0.148

0.281

Livestock advice from media newspaper (1 = yes)

− 0.324

0.562

− 0.299

0.356

Livestock advice specific campaign (1 = yes)

− 0.510

0.671

− 0.306

0.426

Livestock advice through internet (1 = yes)

0.666

2.500

1.709

1.585

Formal source of antibiotics (1 = yes)

1.891

2.292

− 0.515

1.453

Informal source of antibiotics (1 = yes)

1.264

2.867

1.356

1.817

_cons

− 2.536

2.812

− 1.088

1.783

  1. Per-urban, income above 40,000 (400USD) were taken as base for testing significance levels
  2. ***Significant at 1%
  3. *Significant at 10%, levels of significance