Surveillance of antimicrobial resistance in low- and middle-income countries: a scattered picture
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Data on comprehensive population-based surveillance of antimicrobial resistance is lacking. In low- and middle-income countries, the challenges are high due to weak laboratory capacity, poor health systems governance, lack of health information systems, and limited resources. Developing countries struggle with political and social dilemma, and bear a high health and economic burden of communicable diseases. Available data are fragmented and lack representativeness which limits their use to advice health policy makers and orientate the efficient allocation of funding and financial resources on programs to mitigate resistance. Low-quality data means soaring rates of antimicrobial resistance and the inability to track and map the spread of resistance, detect early outbreaks, and set national health policy to tackle resistance. Here, we review the barriers and limitations of conducting effective antimicrobial resistance surveillance, and we highlight multiple incremental approaches that may offer opportunities to strengthen population-based surveillance if tailored to the context of each country.
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Limited availability of validated diagnostics (culture and sensitivity) poses difficulties in prompt identification and management of maternal infection in Sub-Saharan Africa.
“In addition, limited availability of validated diagnostics (culture and sensitivity) poses difficulties in prompt identification and management of maternal infection in SSA [8].”
From The aetiology and antimicrobial resistance of bacterial maternal infections in Sub-Saharan Africa—a systematic review and meta-analysis (2024) · cites this paper as [8]
The sections on limited diagnostics and communication issues (page not provided) describe shortages, unreliable laboratory results, reporting delays, and physicians relying on clinical judgment. They support a general difficulty with testing and clinical decisions in low- and middle-income countries, but do not establish the claim specifically for culture and sensitivity testing, maternal infection, or Sub-Saharan Africa. (LLM, conf=0.85)
Experimental — accuracy not yet measuredThe scarcity of data is mainly due to insufficient laboratory infrastructure and capacity, scarce or absent microbiological facilities, weak health systems and governance and information systems, and scarce resources.
“Such sparsity is mainly due to insufficient laboratory infrastructure and capacity, scarce or absent microbiological facilities, weak health systems and governance and information systems, and scarce resources.60, 72, 73”
From Global burden of bacterial antimicrobial resistance 1990–2021: a systematic analysis with forecasts to 2050 (2024) · cites this paper as [72]
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Boerma, T., & Mathers, C. D. (2015) · BMC Medicine · doi:10.1186/s12916-015-0286-7 · Cited by 64 · see citing works
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- [1]O’Neill J Review on antimicrobial resistance: antimicrobial resistance: tackling a crisis for the health and wealth of nations 2014 London Wellcome Trust
- [3]World Health Organization Global action plan on antimicrobial resistance 2015 Geneva WHO 2017 26242647
- [5]de Kraker ME Stewardson AJ Harbarth S Will 10 million people die a year due to antimicrobial resistance by 2050? PLoS Med 2016 13 11 e1002184 10.1371/journal.pmed.1002184 27898664 PMC5127510 · DOI
- [6]Hay SI Rao PC Dolecek C Day NPJ Stergachis A Lopez AD Measuring and mapping the global burden of antimicrobial resistance BMC Med 2018 16 1 78 10.1186/s12916-018-1073-z 29860943 PMC5985573 · DOI
- [7]Seale AC Hutchison C Fernandes S Stoesser N Kelly H Lowe B Supporting surveillance capacity for antimicrobial resistance: laboratory capacity strengthening for drug resistant infections in low and middle income countries Wellcome Open Res 2017 2 91 10.12688/wellcomeopenres.12523.1 29181453 PMC5686477 · DOI
- [9]Rousham EK Unicomb L Islam MA Human, animal and environmental contributors to antibiotic resistance in low-resource settings: integrating behavioural, epidemiological and One Health approaches Proc Biol Sci. 2018 285 1876 20180332 29643217 PMC5904322
- [10]Nadimpalli M Delarocque-Astagneau E Love DC Price LB Huynh B-T Collard J-M Combating global antibiotic resistance: emerging one health concerns in lower-and middle-income countries Clin Infect Dis 2018 66 6 963 969 10.1093/cid/cix879 29346620 · DOI
- [11]Van Boeckel TP Pires J Silvester R Zhao C Song J Criscuolo NG Global trends in antimicrobial resistance in animals in low-and middle-income countries Science 2019 365 6459 eaaw1944 10.1126/science.aaw1944 31604207 · DOI · Paper page
- [13]Ashley EA Shetty N Patel J van Doorn R Limmathurotsakul D Feasey NA Harnessing alternative sources of antimicrobial resistance data to support surveillance in low-resource settings J Antimicrob Chemother 2019 74 3 541 546 10.1093/jac/dky487 30544186 PMC6406030 · DOI
- [14]Ashley EA Recht J Chua A Dance D Dhorda M Thomas NV An inventory of supranational antimicrobial resistance surveillance networks involving low- and middle-income countries since 2000 J Antimicrob Chemother 2018 73 7 1737 1749 10.1093/jac/dky026 29514279 PMC6005144 · DOI
- [15]Gandra S Alvarez-Uria G Turner P Joshi J Limmathurotsakul D van Doorn HR Antimicrobial resistance surveillance in low- and middle-income countries: progress and challenges in eight South Asian and Southeast Asian countries Clin Microbiol Rev 2020 33 3 e00048-19 10.1128/CMR.00048-19 32522747 PMC7289787 · DOI
- [17]Gupta I Guin P Communicable diseases in the South-East Asia Region of the World Health Organization: towards a more effective response Bull World Health Organ 2010 88 3 199 205 10.2471/BLT.09.065540 20428387 PMC2828785 · DOI
- [22]Smith PC Anell A Busse R Crivelli L Healy J Lindahl AK Leadership and governance in seven developed health systems Health Policy 2012 106 1 37 49 10.1016/j.healthpol.2011.12.009 22265340 · DOI
- [24]Bebell LM Muiru AN Antibiotic use and emerging resistance: how can resource-limited countries turn the tide? Glob Heart 2014 9 3 347 358 10.1016/j.gheart.2014.08.009 25667187 PMC4369554 · DOI
- [25]Fitzgibbon JE Wallis CL Laboratory challenges conducting international clinical research in resource-limited settings J Acquir Immune Defic Syndr 2014 65 Suppl 1 S36 39 10.1097/QAI.0000000000000038 24321984 PMC3893068 · DOI
- [26]Ombelet S Ronat JB Walsh T Yansouni CP Cox J Vlieghe E Clinical bacteriology in low-resource settings: today's solutions Lancet Infect Dis 2018 18 8 e248 e258 10.1016/S1473-3099(18)30093-8 29519767 · DOI
- [27]Opintan JA Newman MJ Arhin RE Donkor ES Gyansa-Lutterodt M Mills-Pappoe W Laboratory-based nationwide surveillance of antimicrobial resistance in Ghana Infect Drug Resist 2015 8 379 389 10.2147/IDR.S88725 26604806 PMC4655947 · DOI
- [28]Dar OA Hasan R Schlundt J Harbarth S Caleo G Dar FK Exploring the evidence base for national and regional policy interventions to combat resistance Lancet 2016 387 10015 285 295 10.1016/S0140-6736(15)00520-6 26603921 · DOI
- [30]Jayatilleke K. Challenges in implementing surveillance tools of high-income countries (HICs) in low middle income countries (LMICs). Curr Treat Options Infect Dis. 2020;1–11. PMC7453076 32874140
- [31]Humphreys H Where do out-of-hours calls to a consultant microbiologist come from? J Clin Pathol 2009 62 8 746 748 10.1136/jcp.2008.059790 19364759 · DOI
- [32]Tucker TJ Manyike PT Improving the clinic-laboratory-interface in the context of HIV diagnosis, treatment, and monitoring Curr Opin HIV AIDS 2017 12 2 105 111 10.1097/COH.0000000000000350 28079593 · DOI
- [33]Hamer DH Ndhlovu M Zurovac D Fox M Yeboah-Antwi K Chanda P Improved diagnostic testing and malaria treatment practices in Zambia JAMA 2007 297 20 2227 2231 10.1001/jama.297.20.2227 17519412 PMC2674546 · DOI
- [34]Polage CR Bedu-Addo G Owusu-Ofori A Frimpong E Lloyd W Zurcher E Laboratory use in Ghana: physician perception and practice Am J Trop Med Hyg 2006 75 3 526 531 10.4269/ajtmh.2006.75.526 16968935 · DOI
- [35]Mbonye AK Magnussen P Chandler CI Hansen KS Lal S Cundill B Introducing rapid diagnostic tests for malaria into drug shops in Uganda: design and implementation of a cluster randomized trial Trials 2014 15 303 10.1186/1745-6215-15-303 25069975 PMC4125706 · DOI
- [36]English M Esamai F Wasunna A Were F Ogutu B Wamae A Delivery of paediatric care at the first-referral level in Kenya Lancet 2004 364 9445 1622 1629 10.1016/S0140-6736(04)17318-2 15519635 · DOI
- [37]Cheesbrough M District laboratory practice in tropical countries, part 2 2006 Cambridge Cambridge University Press
- [38]Barbe B Verdonck K El-Safi S Khanal B Teav S Lilo Kalo JR Rapid diagnostic tests for neglected infectious diseases: case study highlights need for customer awareness and postmarket surveillance PLoS Negl Trop Dis 2016 10 11 e0004655 10.1371/journal.pntd.0004655 27812099 PMC5094593 · DOI
- [39]Frean J Perovic O Fensham V McCarthy K von Gottberg A de Gouveia L External quality assessment of national public health laboratories in Africa, 2002–2009 Bull World Health Organ 2012 90 3 191 199A 10.2471/BLT.11.091876 22461714 PMC3314205 · DOI
- [40]Andrews JR Prajapati KG Eypper E Shrestha P Shakya M Pathak KR Evaluation of an electricity-free, culture-based approach for detecting typhoidal Salmonella bacteremia during enteric fever in a high burden, resource-limited setting PLoS Negl Trop Dis 2013 7 6 e2292 10.1371/journal.pntd.0002292 23853696 PMC3694822 · DOI
- [41]Nathavitharana R Coronel J Moore DA Solar disinfection of MODS mycobacterial cultures in resource-poor settings PLoS ONE 2007 2 10 e1100 10.1371/journal.pone.0001100 17971863 PMC2042512 · DOI
- [42]Chitnis V Chitnis S Patil S Chitnis D Solar disinfection of infectious biomedical waste: a new approach for developing countries The Lancet 2003 362 9392 1285 1286 10.1016/S0140-6736(03)14610-7 14575975 · DOI
- [43]Anand C Gordon R Shaw H Fonseca K Olsen M Pig and goat blood as substitutes for sheep blood in blood-supplemented agar media J Clin Microbiol 2000 38 2 591 594 10.1128/JCM.38.2.591-594.2000 10655351 PMC86154 · DOI
- [44]Yeh E Pinsky BA Banaei N Baron EJ Hair sheep blood, citrated or defibrinated, fulfills all requirements of blood agar for diagnostic microbiology laboratory tests PLoS ONE 2009 4 7 e6141 10.1371/journal.pone.0006141 19578541 PMC2700971 · DOI
- [48]Resistance RoA. Tackling drug-resistant infections globally: final report and recommendations. Review on antimicrobial resistance; 2016.
- [49]Mendelson M Dar OA Hoffman SJ Laxminarayan R Mpundu MM Rottingen JA A global antimicrobial conservation fund for low- and middle-income countries Int J Infect Dis 2016 51 70 72 10.1016/j.ijid.2016.09.016 27647658 · DOI
- [51]Rempel O Pitout JD Laupland KB Antimicrobial resistance surveillance systems: are potential biases taken into account? Can J Infect Dis Med Microbiol 2011 22 4 e24 28 10.1155/2011/276017 23205029 PMC3222764 · DOI
- [52]Tacconelli E Sifakis F Harbarth S Schrijver R van Mourik M Voss A Surveillance for control of antimicrobial resistance Lancet Infect Dis 2018 18 3 e99 e106 10.1016/S1473-3099(17)30485-1 29102325 · DOI
- [53]Ashley EA Dance DAB Turner P Grading antimicrobial susceptibility data quality: room for improvement Lancet Infect Dis 2018 18 6 603 604 10.1016/S1473-3099(18)30273-1 29856355 · DOI
- [54]Mayor S First WHO antimicrobial surveillance data reveal high levels of resistance globally 2018 British Medical Journal Publishing Group 29382641
- [58]Hammoudi D Moubareck CA Kanso A Nordmann P Sarkis DK surveillance of carbapenem non-susceptible gram negative strains and characterization of carbapenemases of classes a, b and d in a lebanese hospital J Med Liban 2015 63 2 66 73 26164974
- [59]Felmingham D White AR Jacobs MR Appelbaum PC Poupard J Miller LA The Alexander Project: the benefits from a decade of surveillance J Antimicrob Chemother. 2005 56 Suppl 2 ii3 ii21 10.1093/jac/dki297 16282278 · DOI
- [60]Peric M Bozdogan B Jacobs MR Appelbaum PC Effects of an efflux mechanism and ribosomal mutations on macrolide susceptibility of Haemophilus influenzae clinical isolates Antimicrob Agents Chemother 2003 47 3 1017 1022 10.1128/AAC.47.3.1017-1022.2003 12604536 PMC149331 · DOI
- [61]Borg M Scicluna E De Kraker M Van De Sande-Bruinsma N Tiemersma E Gür D Antibiotic resistance in the southeastern Mediterranean–preliminary results from the ARMed project Eurosurveillance 2006 11 7 11 12 10.2807/esm.11.07.00639-en 29208166 · DOI
- [62]Pearce J Mann MK Jones C van Buschbach S Olff M Bisson JI The most effective way of delivering a train-the-trainers program: a systematic review J Contin Educ Health Prof 2012 32 3 215 226 10.1002/chp.21148 23173243 · DOI
- [63]Gandra S, Merchant AT, Laxminarayan R. A role for private sector laboratories in public health surveillance of antimicrobial resistance. Future Medicine; 2016. 27192102
- [68]Orubu ESF Zaman MH Rahman MT Wirtz VJ Veterinary antimicrobial resistance containment in Bangladesh: evaluating the national action plan and scoping the evidence on implementation J Glob Antimicrob Resist 2020 21 105 115 10.1016/j.jgar.2019.09.020 31600599 · DOI
- [69]Alam MU Rahman M Abdullah Al M Islam MA Asaduzzaman M Sarker S Human exposure to antimicrobial resistance from poultry production: assessing hygiene and waste-disposal practices in Bangladesh Int J Hyg Environ Health 2019 222 8 1068 1076 10.1016/j.ijheh.2019.07.007 31331788 · DOI
- [70]Angeles LF Islam S Aldstadt J Saqeeb KN Alam M Khan MA Retrospective suspect screening reveals previously ignored antibiotics, antifungal compounds, and metabolites in Bangladesh surface waters Sci Total Environ 2020 712 136285 10.1016/j.scitotenv.2019.136285 31927441 · DOI
- [71]Islam S Urmi UL Rana M Sultana F Jahan N Hossain B High abundance of the colistin resistance gene mcr-1 in chicken gut-bacteria in Bangladesh Sci Rep 2020 10 1 17292 10.1038/s41598-020-74402-4 33057111 PMC7560609 · DOI
- [72]Amin MB Sraboni AS Hossain MI Roy S Mozmader TAU Unicomb L Occurrence and genetic characteristics of mcr-1-positive colistin-resistant E. coli from poultry environments in Bangladesh J Glob Antimicrob Resist 2020 22 546 552 10.1016/j.jgar.2020.03.028 32344122 · DOI
- [73]Haque A Yoshizumi A Saga T Ishii Y Tateda K ESBL-producing Enterobacteriaceae in environmental water in Dhaka, Bangladesh J Infect Chemother 2014 20 11 735 737 10.1016/j.jiac.2014.07.003 25103169 · DOI
- [74]Rashid M Rakib MM Hasan B Antimicrobial-resistant and ESBL-producing Escherichia coli in different ecological niches in Bangladesh Infect Ecol Epidemiol 2015 5 26712 26193990 PMC4507753
- [76]Zaman K Rahim Z Yunus M Arifeen S Baqui A Sack D Drug resistance of Mycobacterium tuberculosis in selected urban and rural areas in Bangladesh Scand J Infect Dis 2005 37 1 21 26 10.1080/00365540410026095 15764186 · DOI
- [77]Banu S Mahmud AM Rahman MT Hossain A Uddin MK Ahmed T Multidrug-resistant tuberculosis in admitted patients at a tertiary referral hospital of Bangladesh PLoS ONE 2012 7 7 e40545 10.1371/journal.pone.0040545 22808189 PMC3394739 · DOI
- [78]Begum S Salam MA Alam KhF Begum N Hassan P Haq JA Detection of extended spectrum beta-lactamase in Pseudomonas spp. isolated from two tertiary care hospitals in Bangladesh BMC Res Notes. 2013 6 7 10.1186/1756-0500-6-7 23289861 PMC3543721 · DOI
- [79]Rahman M Islam H Ahmed D Sack RB Emergence of multidrug-resistant Salmonella Gloucester and Salmonella typhimurium in Bangladesh J Health Popul Nutr 2001 19 3 191 198 11761773
- [80]Sack RB Rahman M Yunus M Khan EH Antimicrobial resistance in organisms causing diarrheal disease Clin Infect Dis 1997 24 Supplement_1 S102 S105 10.1093/clinids/24.Supplement_1.S102 8994788 · DOI
- [82]Urmi UL Nahar S Rana M Sultana F Jahan N Hossain B Genotypic to phenotypic resistance discrepancies identified involving β-lactamase genes, blaKPC, blaIMP, blaNDM-1, and blaVIM in uropathogenic Klebsiella pneumoniae Infect Drug Resist 2020 13 2863 10.2147/IDR.S262493 32903880 PMC7445497 · DOI
- [83]Brooks WA Breiman RF Goswami D Hossain A Alam K Saha SK Invasive pneumococcal disease burden and implications for vaccine policy in urban Bangladesh Am J Trop Med Hyg 2007 77 5 795 801 10.4269/ajtmh.2007.77.795 17984328 · DOI
- [84]Al-Hasan MN Lahr BD Eckel-Passow JE Baddour LM Antimicrobial resistance trends of Escherichia coli bloodstream isolates: a population-based study, 1998–2007 J Antimicrob Chemother 2009 64 1 169 174 10.1093/jac/dkp162 19435736 PMC2692504 · DOI
- [85]Islam MA Amin MB Roy S Asaduzzaman M Islam MR Navab-Daneshmand T Fecal colonization with multidrug-resistant E. coli among healthy infants in rural Bangladesh Front Microbiol. 2019 10 640 10.3389/fmicb.2019.00640 31001224 PMC6454046 · DOI
- [86]Faruque SM Chowdhury N Kamruzzaman M Ahmad QS Faruque AS Salam MA Reemergence of epidemic Vibrio cholerae O139, Bangladesh Emerg Infect Dis 2003 9 9 1116 1122 10.3201/eid0909.020443 14519249 PMC3016788 · DOI
- [87]Saha SK Baqui AH Darmstadt GL Ruhulamin M Hanif M El Arifeen S Invasive Haemophilus influenzae type B diseases in Bangladesh, with increased resistance to antibiotics J Pediatr 2005 146 2 227 233 10.1016/j.jpeds.2004.09.007 15689914 · DOI
- [88]Nahar A Anwar S Miah MRA Association of biofilm formation with antimicrobial resistance among the Acinetobacter species in a tertiary care hospital in Bangladesh J Med 2013 14 1 28 32 10.3329/jom.v14i1.14533 · DOI
- [91]Rossi F The challenges of antimicrobial resistance in Brazil Clin Infect Dis 2011 52 9 1138 1143 10.1093/cid/cir120 21467020 · DOI
- [99]Kumarasamy KK Toleman MA Walsh TR Bagaria J Butt F Balakrishnan R Emergence of a new antibiotic resistance mechanism in India, Pakistan, and the UK: a molecular, biological, and epidemiological study Lancet Infect Dis 2010 10 9 597 602 10.1016/S1473-3099(10)70143-2 20705517 PMC2933358 · DOI · Paper page
- [100]Purohit MR Lindahl LF Diwan V Marrone G Lundborg CS High levels of drug resistance in commensal E. coli in a cohort of children from rural central India Sci Rep 2019 9 1 6682 10.1038/s41598-019-43227-1 31040380 PMC6491649 · DOI
- [101]Saharan VV Verma P Singh AP High prevalence of antimicrobial resistance in Escherichia coli, Salmonella spp. and Staphylococcus aureus isolated from fish samples in India Aquac Res. 2020 51 3 1200 1210 10.1111/are.14471 · DOI
- [102]Patel A Jeyasekaran G Jeyashakila R Anand T Wilwet L Pathak N Prevalence of antibiotic resistant Salmonella spp. strains in shrimp farm source waters of Nagapattinam region in South India Mar Pollut Bull. 2020 155 111171 10.1016/j.marpolbul.2020.111171 32469781 · DOI
- [103]Puzari M Sharma M Chetia P Emergence of antibiotic resistant Shigella species: a matter of concern J Infect Public Health 2018 11 4 451 454 10.1016/j.jiph.2017.09.025 29066021 · DOI
- [104]Taneja N Changing epidemiology of shigellosis and emergence of ciprofloxacin-resistant shigellae in India J Clin Microbiol. 2007 45 2 678 679 10.1128/JCM.02247-06 17122011 PMC1829036 · DOI
- [105]Dutta S Ghosh A Ghosh K Dutta D Bhattacharya SK Nair GB Newly emerged multiple-antibiotic-resistant Shigella dysenteriae type 1 strains in and around Kolkata, India, are clonal J. Clin. Microbiol. 2003 41 12 5833 5834 10.1128/JCM.41.12.5833-5834.2003 14662996 PMC308999 · DOI
- [106]Jain PA Kulkarni RD Dutta S Ganavali AS Kalabhavi AS Shetty PC Prevalence and antimicrobial profile of Shigella isolates in a tertiary care hospital of North Karnataka: a 12-year study Indian J. Med. Microbiol. 2020 38 1 101 108 10.4103/ijmm.IJMM_20_107 32719216 · DOI
- [107]Shahid M Malik A Sheeba Multidrug-resistant Pseudomonas aeruginosa strains harbouring R-plasmids and AmpC β-lactamases isolated from hospitalised burn patients in a tertiary care hospital of North India FEMS Microbiol. Lett. 2003 228 2 181 186 10.1016/S0378-1097(03)00756-0 14638422 · DOI
- [108]Pan U Jain A Gubert J Kumari B Antibiotic care, sensitivity trends of pseudomonas endophthalmitis in a tertiary eye ophthalmol, center in South India: a 12-year retrospective study Indian J Ophthalmol 2020 68 627 631 10.4103/ijo.IJO_1145_19 32174583 PMC7210830 · DOI
- [109]Khan M Stapleton F Summers S Rice SA Willcox MDP Antibiotic resistance characteristics of Pseudomonas aeruginosa isolated from keratitis in Australia and India Antibiotics 2020 9 600 10.3390/antibiotics9090600 PMC7559795 32937932 · DOI
- [110]Pragasam AK Veeraraghavan B Nalini E Anandan SKK An update on antimicrobial resistance and the role of newer antimicrobial agents for Pseudomonas aeruginosa Indian J Med Microbiol 2018 36 303 316 10.4103/ijmm.IJMM_18_334 30429381 · DOI
- [111]Kalal BS Chandran SP Yoganand R Nagaraj S Molecular characterization of carbapenem-resistant Acinetobacter baumannii strains from a tertiary care center in South India Infectio 2020 24 1 27 34 10.22354/in.v24i1.824 · DOI
- [112]John AO Paul H Vijayakumar S Anandan S Sudarsan T Abraham OCBV Mortality from acinetobacter infections as compared to other infections among critically ill patients in South India: a prospective cohort study Indian J Med Microbiol 2020 38 24 31 10.4103/ijmm.IJMM_19_492 32719205 · DOI
- [113]Vijayakumar S Wattal C Oberoi JK Bhattacharya S Vasudevan K Anandan S Insights into the complete genomes of carbapenem-resistant Acinetobacter baumannii harbouring bla OXA-23, bla OXA-420 and bla NDM-1 genes using a hybrid-assembly approach Access Microbiol 2020 2 8 140 10.1099/acmi.0.000140 PMC7497828 32974602 · DOI
- [114]Vijayakumar S Mathur P Kapil A Das BK Ray P Gautam V Sistla S Parija SC Walia K Ohri VC Anandan S Subramani K Ramya IVB No Molecular characterization & epidemiology of carbapenem-resistant Acinetobacter baumannii collected across India Indian J Med Res 2019 149 240 246 10.4103/ijmr.IJMR_2085_17 31219089 PMC6563728 · DOI
- [117]Hammoudi D Moubareck CA Aires J Adaime A Barakat A Fayad N Suleiman M Countrywide spread of OXA-48 carbapenemase in Lebanon: surveillance and genetic characterization of carbapenem-non-susceptible Enterobacteriaceae in 10 hospitals over a one-year period Int J Infect Dis 2014 29 139 144 10.1016/j.ijid.2014.07.017 25449248 · DOI
- [118]Baroud Á Dandache I Araj GF Wakim R Kanj S Kanafani Z Khairallah M Sabra A Shehab M Dbaibo G Matar GM Underlying mechanisms of carbapenem resistance in extended-spectrum β-lactamase-producing Klebsiella pneumoniae and Escherichia coli isolates at a tertiary care centre in Lebanon: role of OXA-48 and NDM-1 carbapenemases Int J Antimicrob Agents 2013 41 1 75 79 10.1016/j.ijantimicag.2012.08.010 23142087 · DOI
- [119]Daoud Z Hobeika E Choucair A Rohban R Isolation of the first metallo-β-lactamase producing Klebsiella pneumoniae in Lebanon Rev Esp Quimioter 2008 21 2 123 126 18509771
- [120]Zarrilli R Vitale D Di Popolo A Bagattini M Daoud Z Khan AU Afif C Triassi M A plasmid-borne blaOXA-58 gene confers imipenem resistance to Acinetobacter baumannii isolates from a Lebanese hospital Antimicrob Agents Chemother 2008 52 11 4115 4120 10.1128/AAC.00366-08 18725447 PMC2573143 · DOI
- [121]Moghnieh RA Musharrafieh UM Husni RN Abboud E Haidar M Abboud E Abou Shakra D E. coli, K. pneumoniae and K. oxytoca community-acquired infections susceptibility to cephalosporins and other antimicrobials in Lebanon Lebanese Med. J. 2014 103 1151 1 6 25011373
- [122]Tokajian S Haddad D Andraos R Hashwa F Araj G Toxins and antibiotic resistance in Staphylococcus aureus isolated from a major hospital in Lebanon ISRN Microbiol 2011 2011 812049 10.5402/2011/812049 23724312 PMC3658828 · DOI
- [123]El-Najjar NG Farah MJ Hashwa FA Tokajian ST Antibiotic resistance patterns and sequencing of class I integron from uropathogenic Escherichia coli in Lebanon Lett Appl Microbiol 2010 51 4 456 461 10.1111/j.1472-765X.2010.02926.x 20840552 · DOI
- [124]Moghnieh R Estaitieh N Mugharbil A Jisr T Abdallah DI Ziade F Sinno L Ibrahim A Third generation cephalosporin resistant Enterobacteriaceae and multidrug resistant gram-negative bacteria causing bacteremia in febrile neutropenia adult cancer patients in Lebanon, broad spectrum antibiotics use as a major risk factor, and correlation with poor prognosis Front Cell Infect Microbiol 2015 5 11 10.3389/fcimb.2015.00011 25729741 PMC4325930 · DOI
- [125]Hammoudi Halat D Moubareck CA Sarkis DK Heterogeneity of carbapenem resistance mechanisms among gram-negative pathogens in Lebanon: results of the first cross-sectional countrywide study Microb Drug Resist 2017 23 6 733 743 10.1089/mdr.2016.0077 28080212 · DOI
- [126]Moghnieh R Siblani L Ghadban D El Mchad H Zeineddine R Abdallah D Ziabe F Sinno L Kerbaj F El Imad Z Extensively drug-resistant Acinetobacter baumannii in a Lebanese intensive care unit: risk factors for acquisition and determination of a colonization score J Hosp Infect 2016 92 1 47 53 10.1016/j.jhin.2015.10.007 26616413 · DOI
- [127]Al Atrouni A Hamze M Jisr T Lemarié C Eveillard M Joly-Guillou ML Kempf M Wide spread of OXA-23-producing carbapenem-resistant Acinetobacter baumannii belonging to clonal complex II in different hospitals in Lebanon Int J Infect Dis 2016 52 29 36 10.1016/j.ijid.2016.09.017 27663910 · DOI
- [128]Hammoudi D Moubareck CA Kanso A Nordmann P Sarkis DK Surveillance of carbapenem non-susceptible gram negative strains and characterization of carbapenemases of classes A, B and D in a Lebanese hospital Leban Med J 2015 103 1973 1 8 26164974
- [129]Moghnieh R Araj GF Awad L Daoud Z Mokhbat JE Jisr T A compilation of antimicrobial susceptibility data from a network of 13 Lebanese hospitals reflecting the national situation during 2015–2016 Antimicrob Resist Infect Control 2019 8 41 10.1186/s13756-019-0487-5 30828445 PMC6381724 · DOI
- [130]Chamoun K Farah M Araj G Daoud Z Moghnieh R Salameh P Surveillance of antimicrobial resistance in Lebanese hospitals: retrospective nationwide compiled data Int J Infect Dis 2016 46 64 70 10.1016/j.ijid.2016.03.010 26996458 · DOI
- [131]Matta R Hallit S Hallit R Bawab W Rogues AM Salameh P Epidemiology and microbiological profile comparison between community and hospital acquired infections: a multicenter retrospective study in Lebanon J Infect Public Health 2018 11 3 405 411 10.1016/j.jiph.2017.09.005 28970096 · DOI
- [132]Moghnieh R Araj GF Awad L Daoud Z Mokhbat JE Jisr T Addallah D Azar N Irani-Hakimeh N Balkis MM Youssef M A compilation of antimicrobial susceptibility data from a network of 13 Lebanese hospitals reflecting the national situation during 2015–2016 Antimicrob Resist Infect Control 2019 8 1 41 10.1186/s13756-019-0487-5 30828445 PMC6381724 · DOI
- [133]Sfeir M Obeid Y Eid C Saliby M Farra A Farhat H Mokhbat JE Prevalence of Staphylococcus aureus methicillin-sensitive and methicillin-resistant nasal and pharyngeal colonization in outpatients in Lebanon Am J Infect Control 2014 42 2 160 163 10.1016/j.ajic.2013.08.008 24360641 · DOI
- [134]Bahnan W Hashwa F Araj G Tokajian S emm typing, antibiotic resistance and PFGE analysis of Streptococcus pyogenes in Lebanon J Med Microbiol 2011 60 1 98 101 10.1099/jmm.0.023317-0 20864546 · DOI
- [135]Cheong Y Lim V Jegathesan M Suleiman A Antimicrobial resistance in 6 Malaysian general hospitals Med J Malaysia 1994 49 4 317 326 7674966
- [137]Yu CY Ang GY San Chin P Ngeow YF Yin W-F Chan K-G Emergence of mcr-1-mediated colistin resistance in Escherichia coli in Malaysia Int J Antimicrob Agents 2016 47 6 504 505 10.1016/j.ijantimicag.2016.04.004 27208898 · DOI
- [138]Mohamed N Said H Hussin H Abdul Rahman N Hashim R Carbapenem-resistant enterobactericeae: clinico-epidemiological perspective Trop Biomed 2018 35 2 300 307 33601804
- [142]Nyasulu PS Murray J Perovic O Koornhof H Laboratory information system for reporting antimicrobial resistant isolates from academic hospitals, South Africa J Infect Dev Ctries 2017 11 09 705 718 10.3855/jidc.7159 31600162 · DOI
- [143]Singh-Moodley A Duse A Naicker P Kularatne R Nana T Lekalakala R Laboratory based antimicrobial resistance surveillance for Pseudomonas aeruginosa blood isolates from South Africa J Infect Dev Ctries 2018 12 08 616 624 10.3855/jidc.9539 31958323 · DOI
- [144]Crichton H O’Connell N Rabie H Whitelaw A Dramowski A Neonatal and paediatric bloodstream infections: pathogens, antimicrobial resistance patterns and prescribing practice at Khayelitsha District Hospital, Cape Town, South Africa S Afr Med J 2018 108 2 99 104 10.7196/SAMJ.2018.v108i2.12601 29429440 · DOI
- [145]Founou RC Founou LL Essack SY Extended spectrum beta-lactamase mediated resistance in carriage and clinical gram-negative ESKAPE bacteria: a comparative study between a district and tertiary hospital in South Africa Antimicrob Resist Infect Control 2018 7 1 134 10.1186/s13756-018-0423-0 30473784 PMC6237030 · DOI
- [146]Founou RC Founou LL Allam M Ismail A Essack SY Whole genome sequencing of extended spectrum β-lactamase (ESBL)-producing Klebsiella pneumoniae isolated from hospitalized patients in KwaZulu-Natal, South Africa Sci Rep 2019 9 1 1 11 10.1038/s41598-019-42672-2 31000772 PMC6472517 · DOI
- [147]Ismail H Lowman W Govind C SweSwe-Han K Maloba M Bamford C Surveillance and comparison of antimicrobial susceptibility patterns of ESKAPE organisms isolated from patients with bacteraemia in South Africa, 2016–2017 SAMJ S Afr Med J 2019 109 12 934 940 10.7196/SAMJ.2019.v109i12.14079 31865955 · DOI
- [148]Ramsamy Y Essack SY Sartorius B Patel M Mlisana KP Antibiotic resistance trends of ESKAPE pathogens in Kwazulu-Natal, South Africa: a five-year retrospective analysis Afr J Lab Med 2018 7 2 1 8 10.4102/ajlm.v7i2.887 PMC6295964 30568908 · DOI
- [149]Swe-Han KS Pillay M Amikacin-resistant Acinetobacter species mediated by the aphA6 gene associated with clinical outcome at an academic complex hospital in KwaZulu-Natal Province, South Africa SAMJ S Afr Med J. 2020 110 1 49 54 10.7196/SAMJ.2019.v110i1.14045 31865943 · DOI
- [150]Ramsamy Y Muckart DJJ Bruce JL Hardcastle TC Han KSS Mlisana KP Empirical antimicrobial therapy for probable v. directed therapy for possible ventilator-associated pneumonia in critically injured patients S Afr Med J 2016 106 2 196 200 10.7196/SAMJ.2016.v106i2.9870 26821903 · DOI
- [151]Ramsamy Y Muckart DJJ Han KSS Microbiological surveillance and antimicrobial stewardship minimise the need for ultrabroad-spectrum combination therapy for treatment of nosocomial infections in a trauma intensive care unit: an audit of an evidence-based empiric antimicrobial policy SAMJ S Afr Med J 2013 103 6 371 376 10.7196/SAMJ.6459 23725954 · DOI
- [152]Ramsamy Y Mlisana KP Allam M Amoako DG Abia AL Ismail A Genomic analysis of carbapenemase-producing extensively drug-resistant Klebsiella pneumoniae isolates reveals the horizontal spread of p18–43_01 plasmid encoding blaNDM-1 in South Africa Microorganisms 2020 8 1 137 10.3390/microorganisms8010137 PMC7023316 31963608 · DOI
- [156]Martynenko A. Estimate of antibiotic resistance in common types of microorganisms in Ukraine. In: 27th European students conference: facing antimicrobial resistance—research revolution wanted! Berlin, September 28th–October 1st 2016 (2017).
- [160]Salmanov A Vozianov S Kryzhevsky V Litus O Drozdova A Vlasenko I Prevalence of healthcare-associated infections and antimicrobial resistance in acute care hospitals in Kyiv, Ukarine J Hosp Infect 2019 102 4 431 437 10.1016/j.jhin.2019.03.008 30910424 · DOI
- [161]Torumkuney D Pertseva T Bratus E Dziublik A Yachnyk V Liskova A Sopko O Malynovska K Morrissey I Results from the Survey of Antibiotic Resistance (SOAR) 2014–16 in Ukraine and the Slovak Republic J Antimicrob Chemother 2018 73 suppl_5 v28 v35 10.1093/jac/dky069 29659885 · DOI
- [162]Feshchenko Y Dzyublik A Pertseva T Bratus E Dzyublik Y Gladka G Morrissey I Torumkuney D Results from the Survey of Antibiotic Resistance (SOAR) 2011–13 in Ukraine J Antimicrobial Chemother 2016 71 suppl_1 i63 i69 10.1093/jac/dkw068 PMC4890350 27048583 · DOI
- [163]Torumkuney D Bratus E Yuvko O Pertseva T Morrissey I Results from the Survey of Antibiotic Resistance (SOAR) 2016–17 in Ukraine: data based on CLSI, EUCAST (dose-specific) and pharmacokinetic/pharmacodynamic (PK/PD) breakpoints J Antimicrob Chemother 2020 75 Suppl 1 100 111 10.1093/jac/dkaa087 32337596 · DOI
- [165]Kolesnyk M Stepanova N Kruglikov V Rudenko A The etiological spectrum and antibiotic resistance pattern of bacteria causing uncomplicated urinary tract infections: a ten-year surveillance study (2005–2015) Ukr J Nephrol Dial 2016 1 49 32 41 10.31450/ukrjnd.1(49).2016.02 · DOI
- [166]Salmanov A Savchenko S Chaika K Vitiuk A Ruban I Dyndar O Zhelezov D Vorobey L Semeniuk LM Hetsko NV Tsmur OV Suslikova LV Nykoniuk TR Shunko YY Beketova HV Manzhula LV Kurochka VV Abbasova ER Tsmur O Postpartum mastitis in the breastfeeding women and antimicrobial resistance of responsible pathogens in Ukraine: results a multicenter study Wiad Lek 2020 73 5 895 903 10.36740/WLek202005111 32386365 · DOI
- [167]Salmanov A Vitiuk A Zhelezov D Bilokon O Kornatska A Dyndar O Trokhymovych OV Bozhko N Raksha II Nykoniuk TR Gorbunova O Prevalence of postpartum endometritis and antimicrobial resistance of responsible pathogens in Ukraine: results a multicenter study (2015–2017) Wiad Lek 2020 73 6 1177 1183 10.36740/WLek202006119 32723949 · DOI
- [171]Queenan K Häsler B Rushton J A One Health approach to antimicrobial resistance surveillance: is there a business case for it? Int J Antimicrob Agents 2016 48 4 422 427 10.1016/j.ijantimicag.2016.06.014 27496533 · DOI
- [172]Schnall J Rajkhowa A Ikuta K Rao P Moore CE Surveillance and monitoring of antimicrobial resistance: limitations and lessons from the GRAM project BMC Med 2019 17 1 176 10.1186/s12916-019-1412-8 31537199 PMC6753612 · DOI
- [175]Jasovský D Littmann J Zorzet A Cars O Antimicrobial resistance—a threat to the world’s sustainable development Upsala J Med Sci 2016 121 3 159 164 10.1080/03009734.2016.1195900 27416324 PMC4967260 · DOI
- [176]Seale AC, Gordon NC, Islam J, Peacock SJ, Scott JAG. AMR surveillance in low and middle-income settings—a roadmap for participation in the Global Antimicrobial Surveillance System (GLASS). Wellcome Open Res. 2017; 2. PMC5645727 29062918
- [178]Van der Bij A Van Dijk K Muilwijk J Thijsen S Notermans D De Greeff S Clinical breakpoint changes and their impact on surveillance of antimicrobial resistance in Escherichia coli causing bacteraemia Clin Microbiol Infect 2012 18 11 E466 E472 10.1111/j.1469-0691.2012.03996.x 22925456 · DOI
- [179]Van Camp P-J Haslam DB Porollo A Bioinformatics approaches to the understanding of molecular mechanisms in antimicrobial resistance Int J Mol Sci 2020 21 4 1363 10.3390/ijms21041363 PMC7072858 32085478 · DOI
- [180]Núñez-Núñez M Navarro MD Palomo V Rajendran N Del Toro M Voss A The methodology of surveillance for antimicrobial resistance and healthcare-associated infections in Europe (SUSPIRE): a systematic review of publicly available information Clin Microbiol Infect 2018 24 2 105 109 10.1016/j.cmi.2017.07.014 28750921 · DOI
- [181]Ndagi U Falaki AA Abdullahi M Lawal MM Soliman ME Antibiotic resistance: bioinformatics-based understanding as a functional strategy for drug design RSC Adv 2020 10 31 18451 18468 10.1039/D0RA01484B PMC9122625 35685616 · DOI
- [182]Carriço J Sabat A Friedrich A Ramirez M Bioinformatics in bacterial molecular epidemiology and public health: databases, tools and the next-generation sequencing revolution Eurosurveillance 2013 18 4 20382 10.2807/ese.18.04.20382-en 23369390 · DOI
- [183]Hendriksen RS Bortolaia V Tate H Tyson G Aarestrup FM McDermott P Using genomics to track global antimicrobial resistance Front Public Health 2019 7 242 10.3389/fpubh.2019.00242 31552211 PMC6737581 · DOI
- [184]He KY Ge D He MM Big data analytics for genomic medicine Int J Mol Sci 2017 18 2 412 10.3390/ijms18020412 PMC5343946 28212287 · DOI
- [185]Didelot X Bowden R Wilson DJ Peto TE Crook DW Transforming clinical microbiology with bacterial genome sequencing Nat Rev Genet 2012 13 9 601 612 10.1038/nrg3226 22868263 PMC5049685 · DOI
- [187]Gordon N Price J Cole K Everitt R Morgan M Finney J Prediction of Staphylococcus aureus antimicrobial resistance by whole-genome sequencing J Clin Microbiol 2014 52 4 1182 1191 10.1128/JCM.03117-13 24501024 PMC3993491 · DOI
- [188]Drouin A Letarte G Raymond F Marchand M Corbeil J Laviolette F Interpretable genotype-to-phenotype classifiers with performance guarantees Sci Rep 2019 9 1 1 13 10.1038/s41598-019-40561-2 30858411 PMC6411721 · DOI
- [189]Suzuki S Horinouchi T Furusawa C Prediction of antibiotic resistance by gene expression profiles Nat Commun 2014 5 1 1 12 PMC4351646 25517437
- [190]Alghoribi MF Balkhy HH Woodford N Ellington MJ The role of whole genome sequencing in monitoring antimicrobial resistance: A biosafety and public health priority in the Arabian Peninsula J Infect Public Health 2018 11 6 784 787 10.1016/j.jiph.2018.08.001 30100241 · DOI
- [192]Lv J, Deng S, Zhang L. A review of artificial intelligence applications for antimicrobial resistance. Biosafety Health. 2020.
- [193]Steinkey R Moat J Gannon V Zovoilis A Laing C Application of artificial intelligence to the in silico assessment of antimicrobial resistance and risks to human and animal health presented by priority enteric bacterial pathogens Can Commun Dis Rep 2020 46 6 180 185 10.14745/ccdr.v46i06a05 32673383 PMC7343051 · DOI
- [194]Chowdhury AS Lofgren ET Moehring RW Broschat SL Identifying predictors of antimicrobial exposure in hospitalized patients using a machine learning approach J Appl Microbiol 2020 128 3 688 696 10.1111/jam.14499 31651068 · DOI
- [195]Voermans AM Mewes JC Broyles MR Steuten LM Cost-Effectiveness analysis of a procalcitonin-guided decision algorithm for antibiotic stewardship using real-world US hospital data OMICS 2019 23 10 508 515 10.1089/omi.2019.0113 31509068 PMC6806362 · DOI
- [197]Su M Satola SW Read TD Genome-based prediction of bacterial antibiotic resistance J Clin Microbiol 2019 57 3 e01405-18 10.1128/JCM.01405-18 30381421 PMC6425178 · DOI
- [198]Ellington MJ Ekelund O Aarestrup FM Canton R Doumith M Giske C Grundman H Hasman H Holden MT Hopkins KL Iredell J The role of whole genome sequencing in antimicrobial susceptibility testing of bacteria: report from the EUCAST Subcommittee Clin Microbiol Infect 2017 23 1 2 22 10.1016/j.cmi.2016.11.012 27890457 · DOI · Paper page
- [199]Bradley P Gordon NC Walker TM Dunn L Heys S Huang B Earle S Pankhurst LJ Anson L De Cesare M Piazza P Rapid antibiotic-resistance predictions from genome sequence data for Staphylococcus aureus and Mycobacterium tuberculosis Nat Commun 2015 6 1 1 5 10.1038/ncomms10063 PMC4703848 26686880 · DOI
- [200]Arango-Argoty G Garner E Pruden A Heath LS Vikesland P Zhang L DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data Microbiome 2018 6 1 1 5 10.1186/s40168-018-0401-z 29391044 PMC5796597 · DOI
- [201]Inglis TJ Paton TF Kopczyk MK Mulroney KT Carson CF Same-day antimicrobial susceptibility test using acoustic-enhanced flow cytometry visualized with supervised machine learning J Med Microbiol 2020 69 5 657 669 10.1099/jmm.0.001092 31665100 PMC7451041 · DOI
- [202]Nguyen M Long SW McDermott PF Olsen RJ Olson R Stevens RL Tyson GH Zhao S Davis JJ Using machine learning to predict antimicrobial MICs and associated genomic features for nontyphoidal Salmonella J Clin Microbiol. 2019 57 2 e01260-18 10.1128/JCM.01260-18 30333126 PMC6355527 · DOI
- [203]Boolchandani M D’Souza AW Dantas G Sequencing-based methods and resources to study antimicrobial resistance Nat Rev Genet. 2020 20 356 370 PMC6525649 30886350
- [204]Wattam AR Abraham D Dalay O Disz TL Driscoll T Gabbard JL Gillespie JJ Gough R Hix D Kenyon R Machi D PATRIC, the bacterial bioinformatics database and analysis resource Nucleic Acids Res 2014 42 D1 D581 D591 10.1093/nar/gkt1099 24225323 PMC3965095 · DOI
- [205]Wattam AR Davis JJ Assaf R Boisvert S Brettin T Bun C Conrad N Dietrich EM Disz T Gabbard JL Gerdes S Improvements to PATRIC, the all-bacterial bioinformatics database and analysis resource center Nucleic Acids Res 2017 45 D1 D535 D542 10.1093/nar/gkw1017 27899627 PMC5210524 · DOI
- [206]Jia B, Raphenya AR, Alcock B, Waglechner N, Guo P, Tsang KK, Lago BA, Dave BM, Pereira S, Sharma AN, Doshi S. CARD 2017: expansion and model-centric curation of the comprehensive antibiotic resistance database. Nucleic Acids Research. 2016:gkw1004. PMC5210516 27789705
- [207]Lechowicz L Urbaniak M Adamus-Białek W Kaca W The use of infrared spectroscopy and artificial neural networks for detection of uropathogenic Escherichia coli strains' susceptibility to cephalothin Acta Biochimica Pol 2013 60 4 713 718 24432322
- [208]Liu Z Deng D Lu H Sun J Lv L Li S Peng G Ma X Li J Li Z Rong T Evaluation of machine learning models for predicting antimicrobial resistance of Actinobacillus pleuropneumoniae from whole genome sequences Front Microbiol 2020 11 48 10.3389/fmicb.2020.00048 32117101 PMC7016212 · DOI
- [209]Her HL Wu YW A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains Bioinformatics 2018 34 13 i89 95 10.1093/bioinformatics/bty276 29949970 PMC6022653 · DOI
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Self-citation
- Authors
- Iskandar, K., Molinier, L., Hallit, S., Sartelli, M., Hardcastle, T. C., Haque, M., Lugova, H., Dhingra, S., Sharma, P., Islam, S., Mohammed, I., Naina Mohamed, I., Hanna, P. A., Hajj, S. E., Jamaluddin, N. A. H., Salameh, P., & Roques, C.
- Affiliations
- Université Toulouse III - Paul Sabatier (FR)
- Holy Spirit University of Kaslik (LB)
- University of Macerata (IT)
- University of KwaZulu-Natal (ZA)
- National Defence University of Malaysia (MY)
- National Institute of Pharmaceutical Education and Research (IN)
- Jahangirnagar University (BD)
- Lebanese University (LB)
- National University of Malaysia (MY)
- Corresponding author
- Iskandar, Katia
- ORCID
- Venue
- Antimicrobial Resistance & Infection Control
- Published
- 2021-03-31
- Volume
- 10
- Issue
- 1
- Pages
- 63-63
- ISSN
- 2047-2994 (ISSN-L)
- PMC
- PMC8011122
- OpenAlex
- W3146403582
- Cited by
- 479
- References
- 1
- Citations by year
- 2026: 109 · 2025: 112 · 2024: 108 · 2023: 96 · 2022: 40 · 2021: 14
- FWCI
- 7.15
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Antimicrobial Resistance and Infection Control (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Greater South Information System
- Topics
- Life Sciences › Immunology and Microbiology › Applied Microbiology and Biotechnology › Antibiotic Use and Resistance
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Antibiotic Resistance in Bacteria
- Life Sciences › Agricultural and Biological Sciences › Food Science › Salmonella and Campylobacter epidemiology
- Keywords
- antimicrobial resistance surveillance, low- and middle-income countries, population-based surveillance, surveillance data quality, laboratory capacity, health information systems, health system governance, infectious diseases, health policy
- MeSH terms
- Anti-Bacterial Agents, Communicable Diseases, Developing Countries, Health Policy, Humans, Population Surveillance, Drug Resistance, Bacterial
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