Datasets:
country string | year int64 | quarter int64 | hospital_tier string | ward string | pathogen string | specimen_type string | infection_source string | patient_age int64 | patient_gender string | comorbidity_count int64 | hiv_status int64 | diabetes int64 | malnutrition int64 | prior_antibiotic_exposure int64 | days_hospitalised int64 | icu_stay int64 | surgery_30d int64 | catheter_days int64 | mechanical_ventilation_days int64 | stewardship_policy string | livestock_antibiotic_use string | water_sanitation_index int64 | hand_hygiene_compliance int64 | isolation_practices string | resistance_profile string | mortality_30d int64 | label int64 | invasive_care_burden float64 | comorbidity_vulnerability float64 | stewardship_score float64 | infection_control_score float64 | antibiotic_exposure_risk float64 | resistance_severity float64 | mortality_risk_score float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Uganda | 2,023 | 1 | Primary | OPD | Salmonella | CSF | Long-term-care | 14 | Male | 1 | 0 | 1 | 0 | 0 | 7 | 0 | 0 | 1 | 1 | Basic | Multiple | 6 | 69 | Contact | none | 0 | 0 | 5.1 | 4 | 2 | 43.5 | 3 | 0 | 3.53 |
Algeria | 2,024 | 3 | Secondary | Paediatric | A. baumannii | Respiratory | Community | 37 | Female | 1 | 1 | 0 | 0 | 1 | 55 | 1 | 1 | 18 | 5 | Basic | Sulfonamides | 5 | 30 | None | Gentamicin,Metronidazole | 0 | 1 | 49.5 | 6 | 2 | 20 | 5 | 2 | 21.85 |
Morocco | 2,024 | 2 | Secondary | Maternity | E. coli | Stool | Veterinary-contact | 71 | Male | 1 | 0 | 0 | 0 | 4 | 36 | 0 | 1 | 19 | 8 | Moderate | None | 6 | 39 | Droplet | Ciprofloxacin,Amoxicillin-clav | 0 | 1 | 45.8 | 2 | 4 | 28.5 | 8 | 2 | 18.74 |
Zimbabwe | 2,022 | 4 | Secondary | Paediatric | A. baumannii | Stool | Community | 11 | Female | 3 | 0 | 0 | 0 | 2 | 22 | 0 | 0 | 2 | 4 | Advanced | Penicillin | 5 | 59 | None | Gentamicin,Imipenem,Ceftriaxone | 1 | 1 | 16.6 | 6 | 6 | 34.5 | 7 | 3 | 13.98 |
Burkina Faso | 2,024 | 3 | Primary | Maternity | S. aureus | Blood | Community | 24 | Male | 4 | 0 | 0 | 0 | 2 | 37 | 0 | 1 | 1 | 0 | None | Tetracycline | 7 | 47 | Droplet | Imipenem,Gentamicin | 0 | 1 | 12.1 | 8 | 0 | 33.5 | 7 | 2 | 11.63 |
Nigeria | 2,023 | 3 | Primary | Surgical | A. baumannii | Blood | Long-term-care | 36 | Male | 1 | 0 | 0 | 1 | 0 | 9 | 0 | 0 | 1 | 2 | Advanced | Sulfonamides | 8 | 75 | Contact | none | 0 | 0 | 7.7 | 5 | 6 | 48.5 | 3 | 0 | 4.81 |
Zimbabwe | 2,023 | 3 | Tertiary | OPD | K. pneumoniae | Blood | Veterinary-contact | 10 | Male | 0 | 0 | 0 | 0 | 2 | 60 | 0 | 1 | 0 | 7 | Moderate | Penicillin | 6 | 41 | None | Vancomycin,Imipenem | 1 | 1 | 32 | 0 | 4 | 26.5 | 7 | 2 | 13.6 |
Egypt | 2,023 | 1 | Secondary | Medical | E. coli | Blood | Hospital | 50 | Female | 0 | 0 | 0 | 0 | 1 | 3 | 1 | 0 | 3 | 1 | Basic | None | 8 | 92 | Droplet | none | 0 | 0 | 10.9 | 0 | 2 | 57 | 2 | 0 | 3.27 |
Uganda | 2,023 | 4 | Primary | Emergency | S. aureus | Stool | Community | 80 | Female | 1 | 0 | 0 | 1 | 0 | 8 | 0 | 0 | 0 | 1 | Moderate | None | 7 | 86 | Droplet | none | 0 | 0 | 4.4 | 5 | 4 | 53 | 0 | 0 | 3.82 |
DRC | 2,022 | 3 | Primary | OPD | K. pneumoniae | CSF | Community | 33 | Male | 2 | 0 | 0 | 0 | 3 | 32 | 0 | 0 | 16 | 11 | Basic | Sulfonamides | 2 | 50 | None | Metronidazole | 0 | 1 | 47.6 | 4 | 2 | 27 | 9 | 1 | 18.28 |
Morocco | 2,022 | 1 | Tertiary | ICU | S. aureus | Stool | Community | 85 | Male | 1 | 0 | 0 | 1 | 2 | 36 | 1 | 0 | 19 | 8 | Basic | Penicillin | 5 | 62 | Contact | Azithromycin | 0 | 1 | 50.8 | 5 | 2 | 39 | 7 | 1 | 19.74 |
Burkina Faso | 2,023 | 3 | Primary | Paediatric | K. pneumoniae | Blood | Community | 30 | Male | 0 | 0 | 0 | 1 | 0 | 5 | 0 | 0 | 2 | 1 | Basic | Penicillin | 8 | 85 | Contact | none | 0 | 0 | 5.5 | 3 | 2 | 53.5 | 3 | 0 | 3.15 |
Malawi | 2,022 | 2 | Private | Medical | A. baumannii | Urine | Community | 32 | Male | 1 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 3 | 2 | Advanced | Sulfonamides | 7 | 72 | Droplet | none | 0 | 0 | 10 | 2 | 6 | 46 | 3 | 0 | 4 |
Mali | 2,019 | 1 | Private | OPD | E. coli | Blood | Community | 2 | Male | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | Moderate | Tetracycline | 10 | 77 | Airborne | none | 0 | 0 | 0.3 | 2 | 4 | 51.5 | 3 | 0 | 1.09 |
Morocco | 2,019 | 3 | Primary | Surgical | K. pneumoniae | CSF | Long-term-care | 54 | Female | 5 | 0 | 1 | 1 | 5 | 15 | 0 | 0 | 14 | 14 | Moderate | Penicillin | 8 | 52 | Droplet | Meropenem | 1 | 1 | 46.5 | 15 | 4 | 37 | 13 | 1 | 23.45 |
Kenya | 2,020 | 2 | Primary | ICU | P. aeruginosa | Respiratory | Community | 66 | Female | 1 | 0 | 0 | 1 | 0 | 8 | 0 | 1 | 0 | 2 | Basic | Sulfonamides | 9 | 90 | None | none | 0 | 0 | 6.4 | 5 | 2 | 54 | 3 | 0 | 4.42 |
Kenya | 2,023 | 2 | Secondary | Paediatric | Salmonella | Stool | Hospital | 2 | Female | 5 | 0 | 1 | 0 | 5 | 34 | 1 | 0 | 10 | 7 | None | Tetracycline | 6 | 56 | None | Meropenem | 0 | 1 | 39.2 | 12 | 0 | 34 | 13 | 1 | 19.76 |
Ethiopia | 2,020 | 3 | Primary | Surgical | E. coli | CSF | Hospital | 33 | Female | 2 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 2 | 2 | None | Multiple | 7 | 80 | None | none | 0 | 0 | 8.1 | 8 | 0 | 47 | 3 | 0 | 6.43 |
Egypt | 2,020 | 4 | Private | Surgical | E. coli | Stool | Hospital | 2 | Female | 1 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 1 | 2 | None | Penicillin | 8 | 84 | None | none | 0 | 0 | 6.2 | 2 | 0 | 50 | 5 | 0 | 2.86 |
Burkina Faso | 2,021 | 1 | Secondary | Paediatric | P. aeruginosa | Urine | Community | 51 | Male | 2 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 3 | 2 | Advanced | Penicillin | 10 | 84 | Droplet | none | 0 | 0 | 8.8 | 4 | 6 | 55 | 5 | 0 | 4.64 |
Ethiopia | 2,024 | 1 | Primary | OPD | P. aeruginosa | Urine | Hospital | 16 | Female | 1 | 0 | 1 | 0 | 1 | 4 | 0 | 0 | 3 | 1 | Moderate | Penicillin | 6 | 84 | Contact | none | 0 | 0 | 6.2 | 4 | 4 | 51 | 5 | 0 | 3.86 |
Nigeria | 2,019 | 1 | Tertiary | ICU | E. coli | CSF | Community | 52 | Male | 5 | 1 | 1 | 0 | 5 | 58 | 1 | 1 | 14 | 0 | Moderate | Multiple | 7 | 59 | Droplet | Amoxicillin-clav | 0 | 1 | 36.4 | 16 | 4 | 39.5 | 13 | 1 | 20.92 |
South Africa | 2,020 | 4 | Private | ICU | K. pneumoniae | Blood | Community | 22 | Male | 3 | 0 | 0 | 0 | 2 | 7 | 1 | 0 | 19 | 5 | None | Tetracycline | 5 | 39 | Droplet | Ciprofloxacin,Meropenem | 0 | 1 | 36.1 | 6 | 0 | 27.5 | 7 | 2 | 17.83 |
Ethiopia | 2,024 | 2 | Tertiary | Maternity | Shigella | Respiratory | Community | 52 | Male | 2 | 0 | 0 | 0 | 1 | 8 | 0 | 1 | 3 | 2 | Basic | None | 6 | 94 | Contact | none | 0 | 0 | 9.4 | 4 | 2 | 56 | 2 | 0 | 4.82 |
Ghana | 2,024 | 1 | Primary | Paediatric | Salmonella | Urine | Community | 45 | Male | 5 | 0 | 0 | 1 | 1 | 48 | 0 | 0 | 4 | 6 | None | Sulfonamides | 4 | 54 | Contact | Gentamicin,Imipenem | 0 | 1 | 30.4 | 13 | 0 | 34 | 5 | 2 | 19.62 |
Morocco | 2,021 | 4 | Primary | Paediatric | A. baumannii | Urine | Community | 75 | Female | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 2 | Advanced | Penicillin | 5 | 60 | Contact | none | 0 | 0 | 7.6 | 2 | 6 | 38 | 3 | 0 | 3.28 |
Nigeria | 2,020 | 1 | Tertiary | OPD | A. baumannii | Urine | Hospital | 24 | Female | 5 | 1 | 1 | 0 | 5 | 57 | 0 | 0 | 21 | 14 | None | None | 4 | 62 | None | Azithromycin | 0 | 1 | 66.1 | 16 | 0 | 35 | 10 | 1 | 29.83 |
Kenya | 2,021 | 2 | Tertiary | Emergency | S. aureus | Respiratory | Community | 39 | Female | 1 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | Moderate | None | 9 | 77 | Droplet | none | 0 | 0 | 1.2 | 2 | 4 | 50.5 | 2 | 0 | 1.36 |
Zimbabwe | 2,019 | 1 | Primary | Emergency | Salmonella | Urine | Hospital | 68 | Male | 0 | 0 | 1 | 1 | 0 | 7 | 0 | 1 | 3 | 1 | Basic | None | 9 | 89 | Contact | none | 0 | 0 | 7.1 | 5 | 2 | 56.5 | 0 | 0 | 4.63 |
Algeria | 2,021 | 2 | Primary | Paediatric | E. coli | Respiratory | Community | 50 | Female | 2 | 0 | 0 | 1 | 0 | 7 | 0 | 0 | 2 | 1 | Moderate | Multiple | 6 | 75 | None | none | 0 | 0 | 6.1 | 7 | 4 | 43.5 | 3 | 0 | 5.33 |
Ghana | 2,024 | 2 | Tertiary | Maternity | Enterococcus | Blood | Community | 42 | Male | 2 | 0 | 0 | 0 | 3 | 15 | 0 | 0 | 11 | 6 | Basic | Tetracycline | 8 | 47 | Contact | Imipenem,Vancomycin | 0 | 1 | 27.5 | 4 | 2 | 34.5 | 9 | 2 | 14.25 |
Ethiopia | 2,024 | 3 | Secondary | ICU | S. aureus | Blood | Community | 80 | Male | 4 | 0 | 0 | 1 | 4 | 58 | 0 | 0 | 21 | 6 | None | Tetracycline | 6 | 42 | None | Vancomycin,Ceftriaxone,Ciprofloxacin | 0 | 1 | 50.4 | 11 | 0 | 27 | 11 | 3 | 26.62 |
Egypt | 2,021 | 2 | Secondary | Medical | A. baumannii | Wound | Long-term-care | 2 | Male | 0 | 0 | 0 | 0 | 2 | 43 | 0 | 1 | 4 | 4 | None | Multiple | 4 | 67 | None | Imipenem,Ciprofloxacin | 0 | 1 | 24.9 | 0 | 0 | 37.5 | 7 | 2 | 11.47 |
Senegal | 2,022 | 3 | Primary | Emergency | S. pneumoniae | Respiratory | Community | 51 | Male | 2 | 0 | 0 | 1 | 2 | 15 | 0 | 0 | 0 | 11 | Advanced | Sulfonamides | 4 | 29 | Contact | Amoxicillin-clav,Vancomycin | 1 | 1 | 26.5 | 7 | 6 | 21.5 | 7 | 2 | 15.45 |
Morocco | 2,024 | 3 | Primary | Surgical | P. aeruginosa | Blood | Community | 65 | Female | 2 | 0 | 0 | 1 | 0 | 10 | 0 | 0 | 2 | 1 | Moderate | Multiple | 9 | 64 | Airborne | none | 0 | 0 | 7 | 7 | 4 | 44 | 3 | 0 | 5.6 |
Senegal | 2,019 | 4 | Primary | Maternity | E. coli | Wound | Veterinary-contact | 17 | Female | 5 | 0 | 0 | 0 | 1 | 36 | 1 | 1 | 1 | 0 | Moderate | Multiple | 2 | 35 | Droplet | Imipenem,Ciprofloxacin | 1 | 1 | 16.8 | 10 | 4 | 22.5 | 5 | 2 | 14.04 |
South Africa | 2,023 | 1 | Primary | Maternity | P. aeruginosa | Blood | Community | 15 | Male | 0 | 1 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 1 | Basic | Multiple | 10 | 64 | None | none | 0 | 0 | 3.5 | 4 | 2 | 42 | 5 | 0 | 3.05 |
Ethiopia | 2,021 | 4 | Tertiary | Paediatric | P. aeruginosa | Blood | Community | 10 | Female | 5 | 0 | 0 | 0 | 1 | 13 | 0 | 1 | 12 | 10 | Basic | Sulfonamides | 7 | 62 | Contact | Vancomycin | 0 | 1 | 35.9 | 10 | 2 | 41 | 5 | 1 | 17.77 |
Burkina Faso | 2,023 | 2 | Tertiary | Medical | S. pneumoniae | Respiratory | Community | 34 | Female | 5 | 0 | 0 | 0 | 4 | 18 | 0 | 1 | 10 | 0 | Moderate | Penicillin | 8 | 28 | Contact | Ceftriaxone,Gentamicin,Azithromycin | 1 | 1 | 15.4 | 10 | 4 | 25 | 11 | 3 | 15.62 |
Malawi | 2,023 | 4 | Secondary | Maternity | K. pneumoniae | Wound | Community | 71 | Male | 1 | 1 | 0 | 0 | 1 | 10 | 0 | 0 | 3 | 2 | Moderate | None | 6 | 77 | Contact | none | 0 | 0 | 10 | 6 | 4 | 47.5 | 2 | 0 | 6 |
Egypt | 2,021 | 2 | Primary | OPD | S. pneumoniae | Respiratory | Hospital | 67 | Male | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 0 | Moderate | Tetracycline | 5 | 62 | Droplet | none | 0 | 0 | 1.9 | 0 | 4 | 39 | 3 | 0 | 0.57 |
Nigeria | 2,022 | 4 | Primary | OPD | K. pneumoniae | Stool | Hospital | 47 | Male | 2 | 0 | 0 | 0 | 5 | 50 | 0 | 1 | 13 | 4 | Basic | Penicillin | 5 | 40 | None | Amoxicillin-clav,Azithromycin,Ceftriaxone | 0 | 1 | 36 | 4 | 2 | 25 | 13 | 3 | 18.8 |
Malawi | 2,020 | 4 | Private | Emergency | Salmonella | Blood | Community | 67 | Female | 1 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 2 | 2 | Basic | Multiple | 7 | 92 | Contact | none | 0 | 0 | 7.2 | 2 | 2 | 56 | 3 | 0 | 3.16 |
Kenya | 2,022 | 4 | Secondary | Medical | Shigella | Respiratory | Community | 81 | Female | 4 | 1 | 0 | 1 | 3 | 9 | 0 | 0 | 11 | 6 | None | Multiple | 3 | 34 | None | Gentamicin,Amoxicillin-clav,Azithromycin | 0 | 1 | 25.7 | 15 | 0 | 20 | 9 | 3 | 21.21 |
DRC | 2,022 | 4 | Primary | Maternity | P. aeruginosa | Wound | Community | 24 | Male | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 1 | 1 | 0 | Advanced | Tetracycline | 5 | 70 | Droplet | none | 0 | 0 | 4 | 0 | 6 | 43 | 3 | 0 | 1.2 |
Burkina Faso | 2,022 | 3 | Secondary | OPD | Salmonella | Blood | Hospital | 75 | Female | 3 | 0 | 0 | 0 | 1 | 19 | 1 | 0 | 0 | 0 | None | None | 6 | 60 | None | Gentamicin,Ceftriaxone,Imipenem | 0 | 1 | 10.7 | 6 | 0 | 36 | 2 | 3 | 12.21 |
Burkina Faso | 2,023 | 1 | Tertiary | OPD | E. coli | Respiratory | Community | 29 | Male | 0 | 0 | 1 | 0 | 4 | 51 | 0 | 0 | 7 | 10 | None | Sulfonamides | 4 | 68 | Contact | Ciprofloxacin,Metronidazole | 1 | 1 | 42.3 | 2 | 0 | 41 | 11 | 2 | 17.69 |
DRC | 2,020 | 3 | Tertiary | Medical | S. aureus | Respiratory | Community | 59 | Male | 5 | 0 | 1 | 0 | 4 | 39 | 0 | 0 | 10 | 10 | Basic | Sulfonamides | 4 | 29 | None | Vancomycin | 0 | 1 | 41.7 | 12 | 2 | 18.5 | 11 | 1 | 20.51 |
Ghana | 2,021 | 2 | Tertiary | OPD | E. coli | Wound | Community | 8 | Female | 2 | 0 | 0 | 1 | 5 | 24 | 1 | 0 | 8 | 2 | Basic | Penicillin | 2 | 26 | Contact | Gentamicin,Amoxicillin-clav | 0 | 1 | 24.2 | 7 | 2 | 18 | 13 | 2 | 14.76 |
Nigeria | 2,019 | 2 | Secondary | Emergency | N. gonorrhoeae | Respiratory | Community | 27 | Male | 3 | 0 | 0 | 0 | 2 | 9 | 0 | 1 | 15 | 1 | Basic | Tetracycline | 8 | 46 | None | Metronidazole,Azithromycin | 0 | 1 | 19.7 | 6 | 2 | 31 | 7 | 2 | 12.91 |
Senegal | 2,020 | 3 | Secondary | Medical | E. coli | CSF | Long-term-care | 82 | Male | 5 | 0 | 0 | 1 | 3 | 35 | 0 | 0 | 0 | 12 | None | Multiple | 4 | 64 | Droplet | Imipenem,Ciprofloxacin,Meropenem | 1 | 1 | 34.5 | 13 | 0 | 39 | 9 | 3 | 22.85 |
Nigeria | 2,023 | 4 | Secondary | Surgical | A. baumannii | Wound | Community | 8 | Female | 2 | 0 | 0 | 0 | 1 | 8 | 0 | 0 | 3 | 2 | Basic | Multiple | 9 | 75 | Contact | none | 0 | 0 | 9.4 | 4 | 2 | 49.5 | 5 | 0 | 4.82 |
Ghana | 2,020 | 2 | Secondary | OPD | K. pneumoniae | CSF | Community | 24 | Male | 3 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 10 | 5 | Advanced | Multiple | 8 | 53 | Droplet | Vancomycin | 1 | 1 | 20.9 | 6 | 6 | 37.5 | 9 | 1 | 11.27 |
Niger | 2,019 | 4 | Secondary | Surgical | S. pneumoniae | Blood | Hospital | 55 | Male | 2 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | Basic | Penicillin | 10 | 95 | Contact | none | 0 | 0 | 0.6 | 8 | 2 | 60.5 | 3 | 0 | 4.18 |
Malawi | 2,024 | 2 | Primary | Paediatric | E. coli | Urine | Community | 48 | Male | 5 | 0 | 1 | 0 | 4 | 4 | 0 | 1 | 9 | 5 | None | Tetracycline | 8 | 59 | Airborne | Meropenem,Ceftriaxone | 0 | 1 | 20.2 | 12 | 0 | 40.5 | 11 | 2 | 16.06 |
Nigeria | 2,020 | 4 | Secondary | Paediatric | E. coli | CSF | Community | 83 | Male | 2 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 3 | 1 | Moderate | Penicillin | 5 | 66 | Contact | none | 0 | 0 | 6.8 | 4 | 4 | 41 | 5 | 0 | 4.04 |
South Africa | 2,020 | 2 | Primary | Surgical | A. baumannii | Stool | Community | 36 | Female | 4 | 0 | 0 | 1 | 2 | 50 | 0 | 1 | 12 | 6 | Basic | Tetracycline | 4 | 51 | Contact | Ciprofloxacin,Ceftriaxone,Vancomycin | 0 | 1 | 39 | 11 | 2 | 32.5 | 7 | 3 | 23.2 |
Kenya | 2,023 | 1 | Secondary | Medical | N. gonorrhoeae | Blood | Hospital | 54 | Female | 2 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 2 | Moderate | Sulfonamides | 8 | 65 | Contact | none | 0 | 0 | 4.9 | 4 | 4 | 43.5 | 5 | 0 | 3.47 |
Mali | 2,021 | 3 | Secondary | Maternity | E. coli | Wound | Long-term-care | 31 | Female | 5 | 0 | 1 | 0 | 5 | 42 | 1 | 0 | 9 | 3 | Moderate | Sulfonamides | 6 | 70 | Droplet | Vancomycin,Metronidazole | 1 | 1 | 32.6 | 12 | 4 | 44 | 13 | 2 | 19.78 |
Uganda | 2,021 | 4 | Tertiary | Medical | S. aureus | CSF | Hospital | 35 | Female | 3 | 0 | 0 | 1 | 3 | 35 | 1 | 0 | 4 | 5 | Basic | None | 8 | 37 | None | Amoxicillin-clav,Vancomycin | 1 | 1 | 29.5 | 9 | 2 | 26.5 | 6 | 2 | 17.35 |
Burkina Faso | 2,021 | 4 | Tertiary | Emergency | S. pneumoniae | Stool | Community | 17 | Male | 2 | 0 | 0 | 0 | 4 | 13 | 0 | 0 | 20 | 5 | None | None | 7 | 70 | None | Ceftriaxone | 0 | 1 | 33.9 | 4 | 0 | 42 | 8 | 1 | 14.17 |
Morocco | 2,022 | 1 | Secondary | Maternity | P. aeruginosa | Urine | Community | 2 | Male | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 3 | 2 | Advanced | Multiple | 10 | 87 | Contact | none | 0 | 0 | 7.6 | 0 | 6 | 56.5 | 5 | 0 | 2.28 |
Morocco | 2,023 | 2 | Secondary | ICU | K. pneumoniae | Blood | Community | 74 | Female | 2 | 0 | 0 | 0 | 1 | 10 | 0 | 0 | 3 | 0 | Moderate | None | 10 | 64 | Airborne | none | 0 | 0 | 6 | 4 | 4 | 45 | 2 | 0 | 3.8 |
Cote d'Ivoire | 2,022 | 4 | Tertiary | Maternity | E. coli | Respiratory | Hospital | 58 | Male | 2 | 0 | 0 | 0 | 5 | 43 | 1 | 0 | 19 | 6 | Moderate | None | 6 | 56 | Airborne | Azithromycin,Ceftriaxone | 0 | 1 | 48.9 | 4 | 4 | 37 | 10 | 2 | 20.67 |
Ghana | 2,019 | 4 | Secondary | Emergency | K. pneumoniae | CSF | Hospital | 78 | Female | 0 | 1 | 0 | 1 | 5 | 44 | 1 | 1 | 20 | 3 | None | Multiple | 2 | 46 | None | Ceftriaxone | 0 | 1 | 44.2 | 7 | 0 | 25 | 13 | 1 | 18.76 |
Cote d'Ivoire | 2,024 | 1 | Secondary | Emergency | S. aureus | CSF | Community | 0 | Female | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | 0 | 0 | Advanced | Multiple | 8 | 63 | Contact | none | 0 | 0 | 0.6 | 0 | 6 | 42.5 | 5 | 0 | 0.18 |
Morocco | 2,019 | 3 | Tertiary | ICU | K. pneumoniae | CSF | Hospital | 54 | Female | 1 | 0 | 0 | 0 | 1 | 58 | 1 | 0 | 19 | 11 | Basic | Tetracycline | 6 | 34 | Contact | Vancomycin | 0 | 1 | 63.4 | 2 | 2 | 26 | 5 | 1 | 22.02 |
Nigeria | 2,019 | 2 | Secondary | Surgical | K. pneumoniae | Urine | Community | 50 | Male | 2 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 2 | 2 | Moderate | Tetracycline | 6 | 70 | None | none | 0 | 0 | 7.2 | 4 | 4 | 41 | 5 | 0 | 4.16 |
Tanzania | 2,019 | 2 | Private | Medical | K. pneumoniae | CSF | Hospital | 82 | Male | 1 | 1 | 0 | 0 | 1 | 3 | 0 | 0 | 1 | 1 | Advanced | Sulfonamides | 8 | 83 | Contact | none | 0 | 0 | 3.9 | 6 | 6 | 52.5 | 5 | 0 | 4.17 |
Malawi | 2,019 | 4 | Primary | Surgical | K. pneumoniae | Stool | Hospital | 33 | Female | 4 | 1 | 0 | 1 | 5 | 12 | 0 | 0 | 2 | 5 | Moderate | Tetracycline | 5 | 25 | None | Imipenem,Azithromycin | 0 | 1 | 15.6 | 15 | 4 | 17.5 | 13 | 2 | 16.18 |
Burkina Faso | 2,024 | 3 | Private | Maternity | A. baumannii | Stool | Community | 1 | Male | 2 | 0 | 0 | 0 | 1 | 10 | 0 | 0 | 2 | 2 | Advanced | Penicillin | 10 | 61 | Airborne | none | 0 | 0 | 9 | 4 | 6 | 43.5 | 5 | 0 | 4.7 |
Nigeria | 2,024 | 4 | Secondary | OPD | E. coli | Urine | Community | 41 | Male | 2 | 1 | 0 | 1 | 3 | 45 | 0 | 0 | 11 | 1 | Basic | Penicillin | 6 | 57 | None | Gentamicin,Meropenem | 0 | 1 | 26.5 | 11 | 2 | 34.5 | 9 | 2 | 17.45 |
Nigeria | 2,022 | 1 | Secondary | Surgical | Shigella | CSF | Community | 36 | Female | 2 | 0 | 1 | 0 | 2 | 5 | 0 | 0 | 8 | 9 | Basic | Penicillin | 5 | 24 | None | Imipenem,Ceftriaxone,Amoxicillin-clav | 0 | 1 | 27.5 | 6 | 2 | 17 | 7 | 3 | 17.25 |
DRC | 2,019 | 2 | Private | Paediatric | A. baumannii | Wound | Hospital | 13 | Male | 5 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 15 | 4 | Basic | Penicillin | 2 | 48 | Airborne | Amoxicillin-clav,Meropenem,Ceftriaxone | 1 | 1 | 29.2 | 10 | 2 | 29 | 5 | 3 | 19.76 |
South Africa | 2,020 | 4 | Tertiary | ICU | S. aureus | Stool | Community | 17 | Female | 4 | 0 | 0 | 0 | 1 | 23 | 1 | 1 | 0 | 2 | Basic | Penicillin | 4 | 61 | Airborne | Gentamicin | 0 | 1 | 15.9 | 8 | 2 | 37.5 | 5 | 1 | 10.77 |
Egypt | 2,023 | 1 | Primary | Surgical | S. aureus | CSF | Community | 57 | Male | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 2 | None | Penicillin | 9 | 61 | Airborne | none | 0 | 0 | 6.6 | 2 | 0 | 42.5 | 3 | 0 | 2.98 |
Egypt | 2,023 | 1 | Tertiary | Surgical | E. coli | Urine | Hospital | 70 | Male | 5 | 0 | 0 | 1 | 2 | 43 | 0 | 1 | 4 | 1 | None | Penicillin | 4 | 46 | Contact | Amoxicillin-clav,Meropenem,Imipenem | 0 | 1 | 18.9 | 13 | 0 | 30 | 7 | 3 | 18.17 |
Tanzania | 2,020 | 2 | Primary | Emergency | S. aureus | CSF | Community | 44 | Female | 2 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 3 | 2 | Moderate | Sulfonamides | 6 | 69 | Airborne | none | 0 | 0 | 8.2 | 4 | 4 | 43.5 | 3 | 0 | 4.46 |
Algeria | 2,020 | 4 | Primary | Emergency | A. baumannii | CSF | Community | 84 | Male | 1 | 0 | 0 | 0 | 0 | 7 | 0 | 1 | 2 | 0 | Basic | None | 8 | 61 | Airborne | none | 0 | 0 | 4.1 | 2 | 2 | 41.5 | 0 | 0 | 2.23 |
Egypt | 2,021 | 3 | Tertiary | Paediatric | K. pneumoniae | Blood | Hospital | 10 | Male | 0 | 0 | 0 | 0 | 4 | 34 | 1 | 1 | 20 | 1 | Moderate | Multiple | 8 | 60 | None | Amoxicillin-clav | 0 | 1 | 37.2 | 0 | 4 | 38 | 11 | 1 | 13.16 |
Uganda | 2,021 | 2 | Primary | Surgical | P. aeruginosa | Wound | Community | 3 | Male | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | Moderate | Penicillin | 10 | 77 | Droplet | none | 0 | 0 | 1.3 | 3 | 4 | 51.5 | 3 | 0 | 1.89 |
Tanzania | 2,023 | 1 | Primary | Emergency | P. aeruginosa | Urine | Hospital | 14 | Female | 4 | 0 | 1 | 0 | 1 | 59 | 0 | 1 | 19 | 2 | None | Multiple | 4 | 46 | Droplet | Azithromycin,Amoxicillin-clav,Gentamicin | 0 | 1 | 40.7 | 10 | 0 | 30 | 5 | 3 | 23.21 |
Tanzania | 2,024 | 1 | Primary | ICU | E. coli | Urine | Community | 67 | Female | 1 | 0 | 0 | 0 | 1 | 10 | 0 | 0 | 1 | 2 | Advanced | Tetracycline | 9 | 72 | Droplet | none | 0 | 0 | 8 | 2 | 6 | 48 | 5 | 0 | 3.4 |
Niger | 2,021 | 1 | Private | Medical | E. coli | Urine | Community | 33 | Male | 2 | 0 | 0 | 0 | 2 | 56 | 0 | 0 | 21 | 2 | Basic | None | 4 | 33 | None | Gentamicin | 1 | 1 | 41.8 | 4 | 2 | 20.5 | 4 | 1 | 16.54 |
Algeria | 2,024 | 1 | Primary | Emergency | S. pneumoniae | Stool | Community | 77 | Female | 2 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 2 | 2 | Moderate | Multiple | 5 | 91 | None | none | 0 | 0 | 7.2 | 4 | 4 | 50.5 | 3 | 0 | 4.16 |
Uganda | 2,019 | 1 | Secondary | Medical | N. gonorrhoeae | CSF | Hospital | 25 | Male | 4 | 1 | 0 | 0 | 2 | 5 | 1 | 0 | 2 | 3 | Basic | Penicillin | 5 | 67 | None | Ceftriaxone,Imipenem,Amoxicillin-clav | 0 | 1 | 14.5 | 12 | 2 | 38.5 | 7 | 3 | 16.35 |
Madagascar | 2,020 | 4 | Tertiary | Medical | S. aureus | CSF | Community | 80 | Male | 2 | 0 | 0 | 1 | 4 | 28 | 1 | 1 | 9 | 12 | None | Penicillin | 4 | 29 | None | Gentamicin,Meropenem | 1 | 1 | 46.4 | 7 | 0 | 18.5 | 11 | 2 | 21.42 |
Ethiopia | 2,019 | 4 | Secondary | Maternity | K. pneumoniae | Blood | Community | 8 | Female | 2 | 0 | 0 | 0 | 4 | 27 | 1 | 0 | 14 | 4 | Moderate | None | 2 | 35 | Droplet | Ceftriaxone | 1 | 1 | 35.1 | 4 | 4 | 22.5 | 8 | 1 | 14.53 |
Cote d'Ivoire | 2,023 | 3 | Private | Maternity | K. pneumoniae | Stool | Community | 43 | Female | 0 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 1 | 0 | Moderate | Penicillin | 9 | 93 | Contact | none | 0 | 0 | 2.8 | 0 | 4 | 58.5 | 5 | 0 | 0.84 |
Uganda | 2,019 | 1 | Secondary | Maternity | A. baumannii | Urine | Community | 16 | Female | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 2 | Moderate | Tetracycline | 6 | 78 | Airborne | none | 0 | 0 | 10.6 | 2 | 4 | 48 | 3 | 0 | 4.18 |
Ethiopia | 2,022 | 1 | Secondary | ICU | S. aureus | Wound | Community | 78 | Female | 1 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 2 | 2 | Advanced | None | 6 | 65 | None | none | 0 | 0 | 7.2 | 2 | 6 | 38.5 | 2 | 0 | 3.16 |
South Africa | 2,019 | 4 | Private | Surgical | A. baumannii | Wound | Hospital | 79 | Female | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | Moderate | None | 6 | 89 | None | none | 0 | 0 | 0.3 | 2 | 4 | 50.5 | 0 | 0 | 1.09 |
Cote d'Ivoire | 2,020 | 2 | Private | Emergency | E. coli | CSF | Veterinary-contact | 55 | Female | 0 | 0 | 0 | 0 | 1 | 8 | 0 | 0 | 3 | 1 | None | Multiple | 7 | 92 | Droplet | none | 0 | 0 | 7.4 | 0 | 0 | 56 | 5 | 0 | 2.22 |
Senegal | 2,019 | 3 | Primary | OPD | S. pneumoniae | Stool | Community | 20 | Female | 2 | 0 | 0 | 0 | 1 | 48 | 1 | 1 | 1 | 6 | None | Multiple | 4 | 32 | Droplet | Ceftriaxone,Metronidazole,Ciprofloxacin | 0 | 1 | 32.4 | 4 | 0 | 23 | 5 | 3 | 17.72 |
DRC | 2,023 | 1 | Secondary | OPD | P. aeruginosa | CSF | Veterinary-contact | 12 | Male | 2 | 0 | 0 | 0 | 5 | 36 | 1 | 1 | 8 | 14 | Basic | Sulfonamides | 2 | 39 | Contact | Azithromycin,Gentamicin | 0 | 1 | 51.8 | 4 | 2 | 24.5 | 13 | 2 | 21.54 |
Egypt | 2,023 | 3 | Tertiary | Maternity | P. aeruginosa | Wound | Community | 73 | Male | 3 | 0 | 0 | 0 | 2 | 41 | 0 | 0 | 19 | 8 | Basic | Sulfonamides | 5 | 24 | Airborne | Ciprofloxacin,Azithromycin,Amoxicillin-clav | 0 | 1 | 47.3 | 6 | 2 | 20 | 7 | 3 | 23.19 |
Egypt | 2,021 | 3 | Secondary | Maternity | S. aureus | Wound | Veterinary-contact | 78 | Male | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | Moderate | Tetracycline | 7 | 88 | Droplet | none | 0 | 0 | 2.3 | 2 | 4 | 54 | 3 | 0 | 1.69 |
Senegal | 2,019 | 1 | Secondary | OPD | P. aeruginosa | Wound | Long-term-care | 7 | Male | 0 | 1 | 0 | 0 | 1 | 5 | 0 | 1 | 0 | 1 | Advanced | None | 10 | 72 | Contact | none | 0 | 0 | 3.5 | 4 | 6 | 49 | 2 | 0 | 3.05 |
Egypt | 2,019 | 4 | Private | Paediatric | E. coli | Urine | Community | 53 | Male | 2 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 1 | Advanced | Sulfonamides | 10 | 95 | Airborne | none | 0 | 0 | 3.5 | 4 | 6 | 60.5 | 3 | 0 | 3.05 |
Ethiopia | 2,023 | 2 | Secondary | Surgical | S. aureus | Wound | Community | 56 | Female | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | Moderate | Penicillin | 8 | 84 | Contact | none | 0 | 0 | 2.6 | 4 | 4 | 53 | 3 | 0 | 2.78 |
AMR Surveillance Dataset | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: parquet, optimized-parquet - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health datasets help researchers examine disease burden, service delivery, risk factors, outcomes, and public-health program performance.
Dataset context from the existing Hugging Face card: AMR Surveillance Dataset Description A synthetic tabular dataset for antimicrobial resistance surveillance in African healthcare facilities. Addresses the worst global AMR data gap where Africa bears the highest burden but has the weakest surveillance infrastructure. Dataset Statistics Property Value Total rows 10,000 Positive cases (label=1) 5,000 Control cases (label=0) 5,000 Countries represented 20 Temporal coverage 2019–2024… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-amr-surveillance.
Dataset Profile
| Field | Value |
|---|---|
| Hugging Face repo | electricsheepafrica/africa-amr-surveillance |
| Sector | health |
| Topic tags | synthetic, synthetic-data, tabular-classification, antimicrobial-resistance, amr, healthcare, one-health |
| Modalities | tabular, text |
| Formats | parquet, optimized-parquet |
| Size category | 10K<n<100K |
| Countries | Africa-wide or source-defined African coverage |
| ISO3 coverage | not declared |
| Last modified on HF | 2026-05-29 13:53:29+00:00 |
| Inventory snapshot | 2026-07-16T16:00:34Z |
How To Read This Dataset
- Start from the repository files and the dataset viewer when available.
- Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
- Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
- Preserve missing values until you have a defensible imputation rule.
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-amr-surveillance")
print(ds)
split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])
Convert To Pandas When Tabular
from datasets import Dataset
first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
df = first_split.to_pandas()
print(df.head())
Data Quality Notes
- This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
- Exact schema, row counts, and source files should be inspected in the repository data files.
- Metadata gaps from the inventory: country, upstream_publisher, license, language.
- Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.
Source And Provenance
- Source context: Electric Sheep Africa metadata inventory
- Publisher/source attribution: Public dataset metadata
- License: Source-specific or other license
- Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/africa-amr-surveillance
- Inventory retrieved at:
2026-07-16T16:00:34Z
Suggested Analyses
- Inspect schema and missingness before modeling.
- Profile variables by geography, time, and subgroup columns where present.
- Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
- Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.
Citation
@misc{electric_sheep_africa_africa_amr_surveillance_2026,
title = {AMR Surveillance Dataset | Africa (Electric Sheep Africa metadata inventory)},
author = {Public dataset metadata},
year = {2026},
url = {https://huggingface.co/datasets/electricsheepafrica/africa-amr-surveillance},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-amr-surveillance}}
}
License
Released under Source-specific or other license.
Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.
About Electric Sheep Africa
Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.
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