https://doi.org/10.4081/gh.2020.868

Employment of Mapping Technology in Antimicrobial Resistance Reporting in Saudi Arabia

Vol. 15 No. 1 (2020)
Submitted: 23 February 2020
Accepted: 4 March 2020
Published: 22 June 2020
Antimicrobial resistance, Geographical information system, Enterobacteriaceae, Pseudomonas aeruginosa, Acinetobacter baumannii, Saudi Arabia
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Authors

Abdullah A. Alhifany
aahifany@uqu.edu.sa
https://orcid.org/0000-0001-9492-9483
Clinical Pharmacy Department, College of Pharmacy, Umm Al-Qura University, Makkah, Saudi Arabia.
Abdullah F. Alqurashi
Department of Geography, Umm Al-Qura University, Makkah, Saudi Arabia.
Mohamed H. Al-Agamy
Microbiology and Immunology Department, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Nasser Alkhushaym
Department of Clinical Pharmacy; Royal Commission Health Services Program; Jubail, Saudi Arabia.
Faten Alhomoud
Pharmacy Practice Department, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Farah K. Alhomoud
Pharmacy Practice Department, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Thamer A. Almangour
Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.

Although Antimicrobial Resistance (AMR) is a worldwide threat, local AMR databases do not exist. Unlike other health disasters, developing containment strategies for AMR cannot be started without a representative, local, updated AMR data. However, Geographical Information Systems (GIS) mapping technology is capable of visualizing AMR data integrated with geographical regions. Due to the absence of AMR databases in Saudi Arabia, we searched Medline and Embase databases from inception until May 28, 2018, including literature that reported AMR data on the most prevalent gram-negative bacterial strains in Saudi Arabia. These data were extracted into Microsoft Excel file and inserted into STATA software, version 13 and ArcMap 10.6 software platform for mapping. We found particularly high levels of AMR in Makkah (Mecca), possibly due to high antibiotic consumption because of the influx of pilgrims, with Pseudomonas aeruginosa isolates showing the highest resistance rate against amikacin, aztreonam, cefepime, ceftazidime, ciprolfloxacin, gentamicin, imipenem, meropenem and pipracillin/tazobactam, and Enterobacteriaceae isolates against cefuroxime, ciprofloxacin, ampicillin, imipenem and ertapenem. The cause is, however, multifactorial since Acinetobacter baumannii isolates showed a variable resistance rate throughout the country. The employment of mapping technology in displaying AMR data extracted from published literature is a practically useful approach, and advanced GIS analyses should help stakeholders create containment strategies and allocate resources to slow down the emergence of AMR.

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How to Cite

Alhifany, A. A., Alqurashi, A. F. ., Al-Agamy, M. H. ., Alkhushaym, N. ., Alhomoud, F., Alhomoud, F. K. ., & Almangour, T. A. . (2020). Employment of Mapping Technology in Antimicrobial Resistance Reporting in Saudi Arabia. Geospatial Health, 15(1). https://doi.org/10.4081/gh.2020.868

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