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Data source: VAERS (Vaccine Adverse Event Reporting System)

Data through 2026 · Updated quarterly

Built by TheDataProject.ai · © 2026 VaccineWatch

Important: VAERS accepts reports of adverse events following vaccination. For any given report, there is no certainty that the reported event was caused by the vaccine. Reports may contain information that is incomplete, inaccurate, coincidental, or unverifiable. Most reports to VAERS are voluntary, which means they are subject to biases. This data cannot be used to determine if vaccines cause or contribute to adverse events.

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Important: VAERS reports alone cannot determine if a vaccine caused an adverse event. Reports may contain incomplete, inaccurate, or unverified information. Correlation does not equal causation.

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Myocarditis Deep Dive

Understanding the most closely-watched vaccine safety signal of the COVID-19 era. Myocarditis (inflammation of the heart muscle) became a major focus of vaccine safety surveillance.

5,540
Total Reports
245
Death Reports
3,694
Hospitalizations
66.7%
Hospitalization Rate

What is Myocarditis?

Myocarditis is inflammation of the heart muscle (myocardium). It can be caused by viral infections, autoimmune diseases, drugs, and other factors. Symptoms range from mild chest pain to heart failure. Most cases resolve on their own, though some can be serious.

After the rollout of COVID-19 mRNA vaccines, myocarditis emerged as a recognized rare side effect, particularly in young males after the second dose. The FDA and CDC added a warning label to the Pfizer and Moderna vaccines in June 2021 after reviewing VAERS data and clinical evidence.

The COVID-19 Connection

COVID-19 vaccines account for 7,695 of the vaccine-myocarditis associations in VAERS — the overwhelming majority. This is not surprising given:

  • COVID-19 vaccines were administered to hundreds of millions of people in a short timeframe
  • Myocarditis was identified as a recognized rare side effect, leading to targeted reporting
  • Healthcare providers were specifically instructed to watch for and report myocarditis cases

Context: The FDA/CDC Safety Signal

The myocarditis safety signal is actually a success story for vaccine safety surveillance. Here's how it played out:

  1. VAERS detected an unusual number of myocarditis reports in young males after mRNA vaccination
  2. The signal was investigated through more rigorous studies (VSD, clinical review)
  3. The risk was confirmed as real but rare — estimated at 12.6 cases per million second doses in 12-39 year old males
  4. The FDA added warning labels, and the CDC updated its guidance
  5. Most cases were mild and resolved quickly

Other Vaccines and Myocarditis

While COVID-19 dominates the data, myocarditis has been reported with other vaccines as well. Smallpox vaccine (1,053 associations) has a well-documented association with myocarditis. This was known before COVID-19 and is one reason smallpox vaccination is limited to specific populations.

Severity

Among myocarditis VAERS reports, 66.7% involved hospitalization and 4.4% reported death. The high hospitalization rate reflects that myocarditis is inherently a condition requiring medical attention. However, it's important to note that most vaccine-associated myocarditis cases in clinical studies were mild and resolved within days to weeks.

Key Takeaways

  • 1.Myocarditis is a recognized rare side effect of mRNA COVID-19 vaccines, primarily affecting young males
  • 2.VAERS played a critical role in detecting this signal, demonstrating the system works as intended
  • 3.The risk is real but rare (~12.6 per million doses) and most cases resolved quickly
  • 4.COVID-19 itself also causes myocarditis at higher rates than the vaccines

2026 Data Context

As VAERS reporting normalizes following the COVID-19 pandemic surge, the data landscape for myocarditis safety signal analysis is shifting. Annual VAERS reports in 2025-2026 have returned to the 35,000-45,000 range typical of the pre-pandemic era (2015-2019), making year-over-year comparisons more meaningful again.

The HHS administration has signaled increased focus on vaccine safety data analysis, including the development of AI-powered tools for pattern detection in VAERS reports. While these tools are still under development, they represent a potential evolution in how adverse event data is analyzed and interpreted.

New vaccines entering the market — including RSV vaccines for older adults and pregnant women, updated COVID-19 formulations, and potential H5N1 avian flu vaccines — continue to add new data streams to VAERS. Each new vaccine type provides additional context for understanding myocarditis safety signal analysis across the full spectrum of vaccine safety surveillance.

Limitations of This Analysis

This analysis is based entirely on VAERS passive surveillance data, which carries important limitations that must be understood:

  • Underreporting: Studies estimate that only 1-10% of adverse events are reported to VAERS. This means the true number of events is likely much higher than what appears in the data.
  • Stimulated reporting: Media coverage and public awareness can temporarily increase reporting rates for specific vaccines, independent of any change in actual safety.
  • No control group: VAERS does not include a comparison group of unvaccinated individuals, making it impossible to determine whether reported events occurred at a higher rate than expected.
  • Variable data quality: VAERS reports range from detailed medical records submitted by healthcare providers to brief descriptions from patients. Not all reports are verified for medical accuracy.
  • Duplicate reports: The same event may be reported by multiple people (patient, doctor, manufacturer), and some duplicates may remain in the data.

For these reasons, VAERS data is best used for signal detection — identifying potential safety concerns that warrant further investigation — rather than for definitive risk assessment. When VAERS surfaces a potential signal, it is investigated using more rigorous systems like the Vaccine Safety Datalink (VSD) and controlled epidemiological studies.

About This Data

All data on VaccineWatch comes from the official VAERS public-use datasets published by the CDC and FDA. Our current dataset covers reports from 1990 through early 2026. We process the raw data without filtering or editorializing — every metric is a transparent aggregation of official government data.

Our Methodology →FAQ →Disclaimer →

2026 Data Context

As VAERS reporting normalizes following the COVID-19 pandemic surge, the data landscape for myocarditis safety signal analysis is shifting. Annual VAERS reports in 2025-2026 have returned to the 35,000-45,000 range typical of the pre-pandemic era (2015-2019), making year-over-year comparisons more meaningful again.

The HHS administration has signaled increased focus on vaccine safety data analysis, including the development of AI-powered tools for pattern detection in VAERS reports. While these tools are still under development, they represent a potential evolution in how adverse event data is analyzed and interpreted.

New vaccines entering the market — including RSV vaccines for older adults and pregnant women, updated COVID-19 formulations, and potential H5N1 avian flu vaccines — continue to add new data streams to VAERS. Each new vaccine type provides additional context for understanding myocarditis safety signal analysis across the full spectrum of vaccine safety surveillance.

Limitations of This Analysis

This analysis is based entirely on VAERS passive surveillance data, which carries important limitations that must be understood:

  • Underreporting: Studies estimate that only 1-10% of adverse events are reported to VAERS. This means the true number of events is likely much higher than what appears in the data.
  • Stimulated reporting: Media coverage and public awareness can temporarily increase reporting rates for specific vaccines, independent of any change in actual safety.
  • No control group: VAERS does not include a comparison group of unvaccinated individuals, making it impossible to determine whether reported events occurred at a higher rate than expected.
  • Variable data quality: VAERS reports range from detailed medical records submitted by healthcare providers to brief descriptions from patients. Not all reports are verified for medical accuracy.
  • Duplicate reports: The same event may be reported by multiple people (patient, doctor, manufacturer), and some duplicates may remain in the data.

For these reasons, VAERS data is best used for signal detection — identifying potential safety concerns that warrant further investigation — rather than for definitive risk assessment. When VAERS surfaces a potential signal, it is investigated using more rigorous systems like the Vaccine Safety Datalink (VSD) and controlled epidemiological studies.

About This Data

All data on VaccineWatch comes from the official VAERS public-use datasets published by the CDC and FDA. Our current dataset covers reports from 1990 through early 2026. We process the raw data without filtering or editorializing — every metric is a transparent aggregation of official government data.

Our Methodology →FAQ →Disclaimer →

2026 Data Context

As VAERS reporting normalizes following the COVID-19 pandemic surge, the data landscape for myocarditis safety signal analysis is shifting. Annual VAERS reports in 2025-2026 have returned to the 35,000-45,000 range typical of the pre-pandemic era (2015-2019), making year-over-year comparisons more meaningful again.

The HHS administration has signaled increased focus on vaccine safety data analysis, including the development of AI-powered tools for pattern detection in VAERS reports. While these tools are still under development, they represent a potential evolution in how adverse event data is analyzed and interpreted.

New vaccines entering the market — including RSV vaccines for older adults and pregnant women, updated COVID-19 formulations, and potential H5N1 avian flu vaccines — continue to add new data streams to VAERS. Each new vaccine type provides additional context for understanding myocarditis safety signal analysis across the full spectrum of vaccine safety surveillance.

Limitations of This Analysis

This analysis is based entirely on VAERS passive surveillance data, which carries important limitations that must be understood:

  • Underreporting: Studies estimate that only 1-10% of adverse events are reported to VAERS. This means the true number of events is likely much higher than what appears in the data.
  • Stimulated reporting: Media coverage and public awareness can temporarily increase reporting rates for specific vaccines, independent of any change in actual safety.
  • No control group: VAERS does not include a comparison group of unvaccinated individuals, making it impossible to determine whether reported events occurred at a higher rate than expected.
  • Variable data quality: VAERS reports range from detailed medical records submitted by healthcare providers to brief descriptions from patients. Not all reports are verified for medical accuracy.
  • Duplicate reports: The same event may be reported by multiple people (patient, doctor, manufacturer), and some duplicates may remain in the data.

For these reasons, VAERS data is best used for signal detection — identifying potential safety concerns that warrant further investigation — rather than for definitive risk assessment. When VAERS surfaces a potential signal, it is investigated using more rigorous systems like the Vaccine Safety Datalink (VSD) and controlled epidemiological studies.

About This Data

All data on VaccineWatch comes from the official VAERS public-use datasets published by the CDC and FDA. Our current dataset covers reports from 1990 through early 2026. We process the raw data without filtering or editorializing — every metric is a transparent aggregation of official government data.

Our Methodology →FAQ →Disclaimer →

Related Analysis

COVID-19 Impact
The broader COVID effect on VAERS
Myocarditis Symptom Page
Full data for myocarditis reports
First vs Second Dose vs Booster
Dose-related adverse event patterns