About ResistanceMap

ResistanceMap is a web-based collection of data visualization tools that allows interactive exploration of antimicrobial resistance (AMR) and antibiotic use trends in countries across the globe, now including several low- and middle-income countries (LMICs). CDDEP first developed ResistanceMap in 2010 to display national and some subnational AMR data for the United States, Canada and over 30 European countries for the year 2009, as well as antibiotic use data for United States from 2000 to 2009.

In the current iteration, which is supported by a new grant from the Bill & Melinda Gates Foundation, CDDEP has expanded ResistanceMap to include more up-to-date AMR data from invasive isolates only (blood and cerebrospinal fluid) from the countries included in the previous iteration of ResistanceMap, as well as additional countries including South Africa, India, Thailand, Vietnam, Kenya, Argentina, Chile, Equador, Mexico, Venezuela, Australia, and New Zealand. Where available, data are displayed at the national, subnational or regional level. The primary sources of data are public and private laboratory networks that routinely collect AMR test results.

In addition to updated and expanded AMR data, this iteration of ResistanceMap also includes antibiotic consumption data from 75 countries from years 2000 to 2014 obtained from IQVIA's MIDAS and Xponent databases. Moreover, this iteration includes an update to the web tool itself, so that non-technical users can more easily explore trends in antibiotic use and resistance around the world.

Antimicrobial Resistance Data:

  • Resistance data from 46 countries are represented. Details of AMR data and methods for calculating resistance proportions are described here.
  • Twelve organisms are included - Acinetobacter baumannii, Enterobacter aerogenes/cloacae, Enterococcus faecalis/faecium, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Salmonella Typhi/Paratyphi, Staphylococcus aureus and Streptococcus pneumoniae.
  • AMR data are available from 1999 to 2017, depending on the country.

Antibiotic Consumption Data:

  • Antibiotic consumption data from 76 countries are represented. Details of antibiotic use data and methods for calculating antibiotic consumption are described here.
  • Seventeen antibiotic classes are included: aminoglycosides, broad-spectrum penicillins, carbapenems, cephalosporins, chloramphenicols, glycopeptides, glycylcyclines, lipopeptides, macrolides, monobactams, narrow-spectrum penicillins, oxazolidinones, phosphonics, polymixins, quinolones, tetracyclines, and trimethoprim combinations.
  • Antibiotic consumption data are available from 2000 to 2015. Sub-national antibiotic consumption data are available only for the United States through 2017.
  • Data sources: Data is available from IQVIA XPonent and IQVIA MIDAS databases

Citing ResistanceMap:

Please cite data or figures from ResistanceMap in the following style:

The Center for Disease Dynamics Economics & Policy. ResistanceMap: [Page Name]. 2018. [URL]. Date accessed: [Date].

Examples:

  1. The Center for Disease Dynamics Economics & Policy. ResistanceMap: Antibiotic resistance. 2018. https://resistancemap.cddep.org/AntibioticResistance.php. Date accessed: May 31, 2018.
  2. The Center for Disease Dynamics Economics & Policy. ResistanceMap: Antibiotic use. 2018. https://resistancemap.cddep.org/AntibioticUse.php. Date accessed: May 31, 2018.

For detailed information about ResistanceMap's data sources and methods, visit our Methodology page.