Affiliations 

  • 1 Department of Mathématiques Informatique et Télécommunications, Université Toulouse III, Paul Sabatier, INSERM, UMR 1027, 31000, Toulouse, France. katia_iskandar@hotmail.com
  • 2 Faculté de Médecine, Equipe constitutive du CERPOP, UMR1295, unité mixte INSERM, Université Paul Sabatier Toulouse III, 31000, Toulouse, France
  • 3 INSPECT-LB, Institut National de Santé Publique, d'Épidémiologie Clinique et de Toxicologie-Liban, Beirut, 6573-14, Lebanon
  • 4 Department of Surgery, University of Macerata, 62100, Macerata, Italy
  • 5 Department of Trauma Service, Inkosi Albert Luthuli Central Hospital, Durban, 4091, South Africa
  • 6 Unit of Pharmacology, Faculty of Medicine and Defence Health, Universiti Pertahanan Nasional Malaysia (National Defence University of Malaysia), Kem Perdana Sungai Besi, 57000, Malaysia
  • 7 Faculty of Medicine and Defence Health, National Defence University of Malaysia, 57000, Kuala Lumpur, Malaysia
  • 8 Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research (NIPER) Hajipur, Bihar, India
  • 9 Department of Pharmacognosy, BVM College of Pharmacy, Gwalior, India
  • 10 Department of Microbiology, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh
  • 11 Department of Restorative Dentistry, Federal University of Pelotas School of Dentistry, Pelotas, RS, 96020-010, Brazil
  • 12 Pharmacoepidemiology and Drug Safety Unit, Pharmacology Department, Medical Faculty, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Kuala Lumpur, Malaysia
  • 13 Faculty of Pharmacy, Lebanese University, Mount Lebanon, Lebanon
  • 14 Department of Medicine, Lebanese University, Beirut, Lebanon
  • 15 Department of Bactériologie-Hygiène, Centre Hospitalier Universitaire, Hôpital Purpan, 31330, Toulouse, France
Antimicrob Resist Infect Control, 2021 03 31;10(1):63.
PMID: 33789754 DOI: 10.1186/s13756-021-00931-w

Abstract

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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.