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Table 1 Risk factors for the emergence and transmission of AMR in East Africa

From: Genetic diversity and risk factors for the transmission of antimicrobial resistance across human, animals and environmental compartments in East Africa: a review

Antimicrobial resistance study

Risk factors investigated

Significant risk factors

Hosts

Country

Reference

Nasal carriage of methicillin-resistant Staphylococcus aureus among healthy under-5 children

age, sex, education, visit the hospital, antibiotic use

–

human

Tanzania

[37]

Multiple ESBL-Producing E. coli Carrying Quinolone and Aminoglycoside Resistance Genes

sex, location, animal type, breed, antibiotic use

animal type, breed, antibiotic use

animals

Tanzania

[12]

Resistant E. coli in three culturally diverse ethnic groups

Increased number of water sources, adherence to antibiotic withdrawal periods, shared water resources, consumption of unboiled (raw) milk,

increased number of water sources, shared water, consumption of unboiled (raw) milk

Human, animals

Tanzania

[38]

Antibiotic Resistance in E. coli

Higher-income, antibiotics use

higher income

human

Tanzania

[39]

Nasal Carriage of Methicillin-Resistant Staphylococcus aureus

Duration in health care services, history of antibiotic use, history of chronic illness, duration in health care services, profession, age, location of health facilities, wards,

location of health facilities, duration in health care services

human

Tanzania

[40]

Extended-Spectrum-Beta-Lactamase-producing Enterobacteriaceae

Prior admission, prior medication, currently admitted in the surgical ward, patient inside the room, over 4 days of hospitalization, currently on the antibiotic, currently on Ciprofloxacin, currently on Ceftriaxone, HIV positive, wound infection

prior admission, currently on the antibiotic, wound infection,

human

Tanzania

[41]

Commonly used antimicrobial agents in bacterial pathogens isolated from urinary tract infections

Age, inpatient, hospitalization in the last 12 months, UTI in last 12 months, Urinary catheter, urinary catheter in last 12 months, use of other Antibiotics in the previous 6 months, Ciprofloxacin use in the previous 6 months, third-generation Cephalosporin use in the previous 6 months

Hospitalized (inpatient), third-generation Cephalosporin use in the previous 6 months, ciprofloxacin used in the previous 6 months

human

Rwanda

[42]

Antimicrobial resistance patterns of phenotype Extended Spectrum Beta-Lactamase producing bacterial isolates

Age, sex, department, sample type, ward/clinic, bacteria isolate, condition at discharge, the period of admission (days),

longer hospital stay, condition at discharge

human

Tanzania

[43]

Antimicrobial susceptibility profiles of E. coli and K. pneumoniae

Age, sex, health centre level, location of health sub-district, HSD, history of admission, history of medical procedures, surgery, antibiotic use, use of gentamicin, use of ciprofloxacin, use of septrin

age, level of health facility, location of health sub-district, district of residence, undergoing medical procedures, use of septrin

human

Uganda

[10]

Faecal carriage of ESBL-Producing Enterobacteriaceae

Sex, age, place of residence (district), parent level of education, children groups, hospitalized children, nutritional status, weight-for-age-Z-score, Length-for-age-Z-score, eight-for-length-Z-score, use of antibiotics, HIV

younger age, HIV infection and use of antibiotics

human

Tanzania

[44]

Predictors of blaCTX-M-15 in varieties of E. coli genotypes from humans

Age, number of children, sex, location, antibiotic use, admission history,

age, history of antibiotic use, history of admission in the past 1 year

human

Tanzania

[45]

Faecal carriage of CTX-M extended-spectrum beta-lactamase-producing Enterobacteriaceae

Source of income, source of food, local herbal use, street children type, primary education

local herbal use, street children type

human

Tanzania

[46]

Antimicrobial Resistance Profiles and Clonal Relatedness of Pseudomonas aeruginosa Strains

age, gender, residence, antimicrobial source, ease in accessing over the counter, prescription availability, dose completion

self-medication, non-completion of dosage

human

Kenya

[47]

Methicillin-resistant staphylococcus aureus (MRSA) colonization among Intensive Care Unit (ICU) patients and health care workers

Age, sex, education, occupation, smoking habit, history of sickness in past year, being sick for more 3 times, being diabetic, illicit drug use,

sex, history of sickness in past year, being sick for more 3 times, being diabetic, illicit drug use

human

Tanzania

[48]

Inappropriate usage of selected antimicrobials

Sex, age, breed, place/origin (rural, urban)

place/origin (rural/urban), age, breed

animals

Uganda

[49]

Extended-spectrum-beta lactamases producing Enterobacteriaceae

Age in days, sex, admission, body temperature, oxygen saturation, skin pustule, umbilical discharge, history of antibiotic-baby, maternal fever, maternal antibiotics, stool ESBL

positive ESBL-PE colonization of the mother, history of antibiotic use,

human

Tanzania

[50]