<|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 2019-05-01 07:02:00, PfizerEUPolicy from company pfizer tweeted. The tweet was "Now’s the time to strengthen education/training on vaccine-preventable diseases, vaccinology + immunisation in medical curricula for healthcare providers across all sectors. #WeWontRest <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-04-25 20:00:01, PfizerCA handle of company pfizer tweeted. The tweet was "Education is power, which is why #PfizerColleagues took the opportunity to learn about the broad public health benefit of vaccines during #NationalImmunizationAwarenessWeek. <hyperlink> <hyperlink>". This tweet got 5 number of likes. 
2. On 2019-06-13 15:00:01, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Vaccines save lives. We need to strengthen education and training on vaccine-preventable diseases, vaccinology, and immunisation in medical curricula for healthcare providers. Find out about more strategies to protect #EU from infectious diseases <mention> <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2019-04-17 07:02:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "#DYK how important the role of healthcare professionals is when it comes to #vaccination? 👇 #VaccinesWork <mention> <mention> <hyperlink> <hyperlink>". This tweet got 3 number of likr 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
0<|im_end|>
