Key Takeaways
- Long COVID associated with 50-69% increased risk of cardiovascular disease 12 months post-infection
- 63% higher dementia risk in Long COVID patients per VA study
- Type 2 diabetes risk up 39% within year post-Long COVID
- Women are 1.5-2 times more likely to develop Long COVID than men
- Adults aged 35-49 have highest Long COVID prevalence at 18% per US data
- Obesity (BMI>30) increases risk by 113% per VA study
- In a UK study of over 1 million adults, 6.2% reported Long COVID symptoms persisting for at least 12 weeks post-infection as of April 2023: July 2026: June 2026
- US CDC estimates that 1 in 5 adults who had COVID-19 develop Long COVID, with symptoms lasting at least 3 months, based on 2023 surveys
- A meta-analysis of 47 studies found a pooled prevalence of Long COVID at 35% (95% CI: 29-42%) in non-hospitalized patients 12 months post-infection
- Fatigue is reported in 58% of Long COVID patients across 50 studies
- Brain fog/cognitive impairment affects 34% of Long COVID cases per meta-analysis
- Dyspnea/shortness of breath in 54% at 3 months post-infection
- 40% symptom improvement with multidisciplinary rehab at 6 months
- Pacing therapy reduces post-exertional malaise by 70% in trials
- Low-dose naltrexone improves fatigue in 60% of patients per small RCT
Long COVID sharply raises risks for heart, stroke, dementia, and mortality, with vaccination and early care offering protection.
Related reading
01 · Category
Complications29 stats
Complications Interpretation
02 · Category
Demographics28 stats
Demographics Interpretation
03 · Category
Prevalence30 stats
Prevalence Interpretation
More related reading
04 · Category
Symptoms30 stats
Symptoms Interpretation
05 · Category
Treatment25 stats
Treatment Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Priya Chandrasekaran. (2026, February 13). Long Covid Statistics. Gitnux. https://gitnux.org/long-covid-statistics
Priya Chandrasekaran. "Long Covid Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/long-covid-statistics.
Priya Chandrasekaran. 2026. "Long Covid Statistics." Gitnux. https://gitnux.org/long-covid-statistics.
Sources & references
18 datasets cited across this report · attribution is report-level

