<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-05-17 13:48:00, UPMCpolicy from company upmc tweeted. The tweet was "Long before Allegheny County saw its first cases of #measles, <mention> saw threat levels rise and began preparing.

Learn how: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-02-06 08:18:48, cnnphilippines handle of company cnn tweeted. The tweet was "BREAKING: Department of Health declares measles outbreak in NCR <hyperlink> <hyperlink>". This tweet got 554 number of likes. 
2. On 2018-08-15 20:26:05, CNN handle of company cnn tweeted. The tweet was "At least 107 measles cases have been confirmed across more than 20 states <hyperlink> <hyperlink>". This tweet got 2145 number of likes. 
3. On 2020-01-10 08:00:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "This infographic from <mention> shows some worrying trends: over 50% of reported cases of #Measles in the #EU are in adolescents and young adults #VaccinesWork <mention> 👇

<hyperlink> <hyperlink>". This tweet got 3 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
