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(v2.1.1.9269) Support 7 new languages
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48
index.md
48
index.md
@ -5,7 +5,7 @@
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- Provides an **all-in-one solution** for antimicrobial resistance (AMR)
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data analysis in a One Health approach
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- Peer-reviewed, used in over 175 countries, available in 20 languages
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- Peer-reviewed, used in over 175 countries, available in 27 languages
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- Generates **antibiograms** - traditional, combined, syndromic, and
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even WISCA
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- Provides the **full microbiological taxonomy** of ~79 000 distinct
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@ -75,7 +75,7 @@ research at the Faculty of Medical Sciences of the [University of
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Groningen](https://www.rug.nl) and the [University Medical Center
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Groningen](https://www.umcg.nl).
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##### Used in over 175 countries, available in 20 languages
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##### Used in over 175 countries, available in 27 languages
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<a href="./countries_large.png" target="_blank"><img src="./countries.png" align="right" style="max-width: 300px;" /></a>
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@ -87,10 +87,14 @@ With the help of contributors from all corners of the world, the `AMR`
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package is available in
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<img src="lang_en.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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English,
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<img src="lang_cs.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Czech,
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<img src="lang_ar.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Arabic,
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<img src="lang_bn.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Bengali,
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<img src="lang_zh.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Chinese,
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<img src="lang_cs.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Czech,
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<img src="lang_da.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Danish,
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<img src="lang_nl.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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@ -103,6 +107,10 @@ French,
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German,
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<img src="lang_el.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Greek,
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<img src="lang_hi.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Hindi,
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<img src="lang_id.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Indonesian,
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<img src="lang_it.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Italian,
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<img src="lang_ja.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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@ -119,13 +127,19 @@ Romanian,
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Russian,
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<img src="lang_es.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Spanish,
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<img src="lang_sw.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Swahili,
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<img src="lang_sv.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Swedish,
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<img src="lang_tr.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Turkish, and
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Turkish,
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<img src="lang_uk.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Ukrainian. Antimicrobial drug (group) names and colloquial microorganism
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names are provided in these languages.
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Ukrainian,
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<img src="lang_ur.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Urdu, and
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<img src="lang_vi.svg" style="height: 13px !important; border: 1px solid #cccccc; vertical-align: initial !important;">
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Vietnamese. Antimicrobial drug (group) names and colloquial
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microorganism names are provided in these languages.
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### Practical examples
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@ -155,10 +169,8 @@ example_isolates %>%
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#> ℹ Using column 'mo' as input for mo_fullname()
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#> ℹ Using column 'mo' as input for mo_is_gram_negative()
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#> ℹ Using column 'mo' as input for mo_is_intrinsic_resistant()
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#> ℹ Determining intrinsic resistance based on 'EUCAST Expected Resistant
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#> Phenotypes' v1.2 (2023). This note will be shown once per session.
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#> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB'
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#> (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
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#> ℹ Determining intrinsic resistance based on 'EUCAST Expected Resistant Phenotypes' v1.2 (2023). This note will be shown once per session.
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#> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
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#> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem)
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#> # A tibble: 35 × 7
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#> bacteria GEN TOB AMK KAN IPM MEM
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@ -196,9 +208,9 @@ output format automatically (such as markdown, LaTeX, HTML, etc.).
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``` r
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antibiogram(example_isolates,
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antimicrobials = c(aminoglycosides(), carbapenems()))
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#> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB'
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#> (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
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#> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
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#> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem)
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#> ℹ 502 combinations had less than minimum = 30 results and were ignored
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```
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| Pathogen | Amikacin | Gentamicin | Imipenem | Kanamycin | Meropenem | Tobramycin |
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@ -221,6 +233,7 @@ yield higher empiric coverage:
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antibiogram(example_isolates,
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antimicrobials = c("TZP", "TZP+TOB", "TZP+GEN"),
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mo_transform = "gramstain")
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#> ℹ 3 combinations had less than minimum = 30 results and were ignored
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```
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| Pathogen | Piperacillin/tazobactam | Piperacillin/tazobactam + Gentamicin | Piperacillin/tazobactam + Tobramycin |
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@ -229,7 +242,7 @@ antibiogram(example_isolates,
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| Gram-positive | 86% (82-89%,N=345) | 98% (96-98%,N=1044) | 95% (93-97%,N=550) |
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Like many other functions in this package, `antibiogram()` comes with
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support for 20 languages that are often detected automatically based on
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support for 27 languages that are often detected automatically based on
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system language:
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``` r
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@ -238,6 +251,7 @@ antibiogram(example_isolates,
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mo_transform = "gramstain",
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ab_transform = "name",
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language = "uk") # Ukrainian
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#> ℹ 3 combinations had less than minimum = 30 results and were ignored
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```
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| Збудник | Гентаміцин | Тобраміцин | Ципрофлоксацин |
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@ -321,15 +335,13 @@ out <- example_isolates %>%
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# calculate AMR using resistance(), over all aminoglycosides and polymyxins:
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summarise(across(c(aminoglycosides(), polymyxins()),
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resistance))
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#> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB'
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#> (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
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#> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
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#> ℹ For polymyxins() using column 'COL' (colistin)
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#> Warning: There was 1 warning in `summarise()`.
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#> ℹ In argument: `across(c(aminoglycosides(), polymyxins()), resistance)`.
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#> ℹ In group 3: `ward = "Outpatient"`.
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#> Caused by warning:
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#> ! Introducing NA: only 23 results available for KAN in group: ward =
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#> "Outpatient" (minimum = 30).
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#> ! Introducing NA: only 23 results available for KAN in group: ward = "Outpatient" (minimum = 30).
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out
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#> # A tibble: 3 × 6
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#> ward GEN TOB AMK KAN COL
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