<|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 2020-03-28 17:38:25, BBCWorld from company bbc tweeted. The tweet was "Doctors in America have been talking about how hard it is to get the correct gear to treat patients with Covid-19 

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-03-01 15:10:04, IndependentNGR handle of company independent tweeted. The tweet was "COVID-19: Doctors Urge Strict Adherence To WHO Guidelines <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2020-10-13 15:17:02, MayoClinic handle of company mayo clinic tweeted. The tweet was ""COVID fatigue," or failing to comply with masking, hand-hygiene and social-distancing guidelines, has fueled a resurgence in #COVID19 cases in more than half of U.S. states. <mention> shares his concerns: <hyperlink> <hyperlink>". This tweet got 66 number of likes. 
3. On 2020-03-15 21:00:15, CBCTheNational handle of company cbc tweeted. The tweet was "The National's <mention> explains how new cases of COVID-19 can quickly overwhelm health-care capacity if proper precautions aren't taken. <hyperlink>". This tweet got 143 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
