Bacterial antimicrobial resistance (AMR) was associated with 4.95 million deaths in 2019, of which 1.27 million were directly attributable to resistance.
Original statement
4.95 مليون وفاة مرتبطة بمقاومة المضادات في عام واحد، منها 1.27 مليون منسوبة مباشرة إلى المقاومة البكتيرية
verbatim according to source. Translation by the project; the Arabic wording is authoritative.
Translation
Bacterial antimicrobial resistance (AMR) was associated with 4.95 million deaths in 2019, of which 1.27 million were directly attributable to resistance.
Origin
- Source status
- Archive editors
- Attribution
- Archive editors (eltayebat.com)
- Origin
- https://eltayebat.com/rule/antibiotic-overuse/
- Attribution uncertainty
- Archive editorial narrative and featured-study cards, written by the archive operators; study selection is the archive's, not necessarily Elawady's.
- Claimed mechanism
Resistant infections.
- Claimed health effect
Deaths.
- Population concerned
Global
- Geographic restriction by Elawady
none found
Scientific assessment
True – The statement is supported by robust evidence.
Certainty of evidence: moderate – Further research may still affect the assessment.
1. What was claimed?
AMR burden figures.
2. What is demonstrably correct?
4.95 million (95% UI 3.62-6.57) associated and 1.27 million (0.911-1.71) attributable deaths in 2019 (A-ABX-18). The GBD 2021 analysis re-estimated 2019 at 4.94 million (4.43-5.45) associated and 1.20 million (1.05-1.35) attributable deaths, and gives 4.71 million associated and 1.14 million attributable for 2021; forecast 1.91 million attributable and 8.22 million associated deaths in 2050 (I-ABX-01). WHO Eastern Mediterranean Region (includes Egypt): 380,000 associated and 92,800 attributable deaths in 2021 (I-ABX-02).
3. What is wrong or exaggerated?
Nothing wrong with the numbers; they are model estimates, not counts.
4. What remains unclear?
Uncertainty in data-poor countries.
5. Which studies support it?
6. Which studies contradict it?
None. The later GBD 2021 analysis gives slightly different figures for the same year 2019 (1.20 instead of 1.27 million attributable; 4.94 instead of 4.95 million associated) and lower figures for 2021 (I-ABX-01); the claim's figures correspond to the earlier publication and remain broadly consistent. All figures are model estimates with uncertainty intervals.
7. What applies to Germany and Europe?
Australasia lowest attributable rate (6.5/100,000), western sub-Saharan Africa highest (27.3/100,000) in 2019 (A-ABX-18).
8. What is known about Egypt?
In 2019 the attributable rate for North Africa and Middle East was 11.2 per 100,000 (Table 2 of A-ABX-18, read via PMC web page).
9. What practical conclusion is appropriate?
AMR is a major threat; the GBD authors also stress that better access to appropriate antibiotics could avert many deaths (I-ABX-01).
Assessment details
- Rationale for certainty of evidence
Correctly reported from GBD modelling; estimates have wide uncertainty intervals and are model-based, especially for data-poor regions. The later GBD 2021 analysis re-estimated 2019 at 4.94 million associated and 1.20 million attributable deaths, and gives 4.71 million and 1.14 million for 2021 (I-ABX-01).
- Source quality
Large systematic modelling study (Lancet).
- Regional transferability
Global; highest burden in low-resource settings.
- Individual exceptions
Not applicable.
- Regional scope of the claim
- general (biological/medical)
- Last reviewed
- 25 October 2026 provisional
In plain language
Researchers estimated that in 2019 about 1.27 million deaths worldwide were directly caused by antibiotic-resistant bacteria. A newer analysis estimated 1.14 million for 2021. These are model estimates with some uncertainty. The same researchers say that better access to the right antibiotics is part of the solution.
Studies on this claim
Studies supporting the claim (3)
-
Global deaths from antibiotic resistance (2019)
Antimicrobial Resistance Collaborators. Lancet 2022 · PMID 35065702 · DOI 10.1016/S0140-6736(21)02724-0Risk assessmentcited by the Tayebat archivefull text checked★ key studyAbout 1.27 million deaths were directly caused by resistant bacteria in 2019.
Does the study support the specific claim? Yes · Methodological quality: high · Certainty of evidence: see overall assessment of the claim
Original publication · Scientific details
Study explained simply
- What did the researchers want to find out?
Estimate AMR burden.
- How was the study done?
Global modelling.
- How many people, animals or samples were studied?
471 million records.
- What was actually found?
1.27 M attributable, 4.95 M associated deaths.
- How large was the observed effect?
Regional rates 6.5-27.3/100,000.
- What do the results mean in everyday life?
Resistance is a leading killer.
- What are the study's limitations?
Model estimates.
- What does it say about Elawady's specific claim?
Supports burden claim; not 'combined'.
- Do the results apply to Germany and Europe?
High.
- What can explicitly not be concluded from this study?
Exact counts.
-
Antibiotic resistance deaths 1990-2050
GBD 2021 Antimicrobial Resistance Collaborators. Lancet 2024 · PMID 39299261 · DOI 10.1016/S0140-6736(24)01867-1Risk assessmentindependent cross-checkfull text checked★ key studyAbout 1.14 million deaths were caused by resistance in 2021; better care and access to antibiotics could prevent tens of millions of deaths.
Does the study support the specific claim? Partly · Methodological quality: high · Certainty of evidence: see overall assessment of the claim
Original publication · Scientific details
Study explained simply
- What did the researchers want to find out?
Track AMR burden.
- How was the study done?
GBD modelling.
- How many people, animals or samples were studied?
520 million records.
- What was actually found?
2021: 1.14 million deaths caused by resistance and 4.71 million deaths with a resistant infection; deaths in children under 5 fell by more than half since 1990, but rose by over 80% in people 70 and older.
- How large was the observed effect?
1.91 M forecast for 2050.
- What do the results mean in everyday life?
Resistance is rising; access to the right antibiotics matters.
- What are the study's limitations?
Model estimates; little data in many poorer countries; forecasts depend on assumptions.
- What does it say about Elawady's specific claim?
Supports burden; contradicts refusing antibiotics.
- Do the results apply to Germany and Europe?
High.
- What can explicitly not be concluded from this study?
Exact counts.
-
Antibiotic resistance in the Eastern Mediterranean
EMR Antimicrobial Resistance Collaborators. Lancet Public Health 2025 · PMID 41082884 · DOI 10.1016/S2468-2667(25)00201-4Risk assessmentindependent cross-checkabstract only checkedAbout 92,800 deaths in the region were attributed to resistance in 2021.
Does the study support the specific claim? Yes · Methodological quality: high · Certainty of evidence: see overall assessment of the claim
Original publication · Scientific details
Study explained simply
- What did the researchers want to find out?
Regional AMR burden.
- How was the study done?
Modelling.
- How many people, animals or samples were studied?
EMR.
- What was actually found?
92,800 attributable deaths.
- What do the results mean in everyday life?
Relevant to Egypt.
- What are the study's limitations?
Model.
- What does it say about Elawady's specific claim?
Supports.
- Do the results apply to Germany and Europe?
Low.
- What can explicitly not be concluded from this study?
Egypt-level numbers.
No study in this group is marked as key.
Studies contradicting or limiting the claim (0)
No studies in this group.
Studies with mixed or unclear results (0)
No studies in this group.
Regional context
Germany / EU
Australasia lowest attributable rate (6.5/100,000), western sub-Saharan Africa highest (27.3/100,000) in 2019 (A-ABX-18).
Egypt
In 2019 the attributable rate for North Africa and Middle East was 11.2 per 100,000 (Table 2 of A-ABX-18, read via PMC web page).
What applies in my country?
General scientific assessment
True Correctly reported.
This statement concerns biological or medical relationships. The scientific assessment above applies regardless of the country; country-specific food data do not change it.
References
- Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis.. Antimicrobial Resistance Collaborators. Lancet 2022 · PMID 35065702 · DOI 10.1016/S0140-6736(21)02724-0
- Global burden of bacterial antimicrobial resistance 1990-2021: a systematic analysis with forecasts to 2050.. GBD 2021 Antimicrobial Resistance Collaborators. Lancet 2024 · PMID 39299261 · DOI 10.1016/S0140-6736(24)01867-1
- The burden of bacterial antimicrobial resistance in the WHO Eastern Mediterranean Region 1990-2021: a cross-country systematic analysis with forecasts to 2050.. EMR Antimicrobial Resistance Collaborators. Lancet Public Health 2025 · PMID 41082884 · DOI 10.1016/S2468-2667(25)00201-4