ATLASATLAS News · Economy
US Reportedly Loses Measles Elimination Status After Surge in Cases
Bloomberg, citing a Wall Street Journal report, says the United States has lost its measles elimination status following a surge in cases.
What happened
Bloomberg reports that the United States has lost its measles elimination status after a surge in cases. The outlet attributes the information to the Wall Street Journal.
The sources provided to ATLAS give only this headline-level information. No further details, such as case counts, dates of the determination or the reasons behind the decision, are included.
Context
Measles elimination status is a public health designation tied to whether a disease continues to spread within a country's borders.
Why it matters
The development is a public health matter, and its relevance to markets or specific companies is not stated in the sources, so no direct market link can be drawn from them.
Market indices
Latest close of the ETFs that track the main US indices (SPY, QQQ, DIA), from ATLAS data.
S&P 500 (SPY): 754.37 (−0.36%) · November 13
Nasdaq-100 (QQQ): 679.89 (−1.20%) · November 13
Dow Jones (DIA): 523.15 (+0.13%) · November 13
Sources
ATLAS writes its own summaries from the reporting of these outlets. Each link opens the original publisher.
- US Loses Measles Elimination Status After Cases Surge, WSJ Says · Bloomberg.com · November 14, 2026
Related
- Nvidia spy scandal and Fed's Collins on rates draw market attention
- Heating Oil Prices Up 59% From Last Winter, CNBC Reports
- US extends shipping law waiver for 90 days, Reuters reports
- Fed flags risks from elevated asset prices tied partly to AI
- MARA Shares Slip as Revenue Miss and Bitcoin Sales Draw Attention
What you get with ATLAS
Create my ATLAS account →Fair value, probabilities and earnings for every stock. Free account, no card. Information, not advice.
Information, not advice. This content is informational and is not an investment recommendation or an offer to buy or sell securities. ATLAS estimates come from statistical models using public data, can be wrong, and past performance does not guarantee future results. Disclaimer