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A Model Based Analysis for COVID-19 Pandemic in India: Implications for Health Systems and Policy for Low- and Middle-Income Countries
Prinja, S.; Bahuguna, P.; Chugh, Y.; Vassal, A.; Pandey, A.; Aggarwal, S.; Arora, N. K.
2020-08-18
health policy
10.1101/2020.06.11.20128231
medRxiv
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Disclaimer statementThe authors have withdrawn this manuscript because they do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.
Matching journals
●Non-profit
◐University press
○Commercial
The top 5 journals account for 50% of the predicted probability mass.
1
PLOS ONE
●
5266 papers in training set
Top 6%
26.4%
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2
Frontiers in Public Health
○
148 papers in training set
Top 0.2%
8.8%
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3
BMJ Open
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601 papers in training set
Top 3%
7.8%
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- Use of health care services during the Covid-19 pandemic in Ethiopia: Evidence from a health facility survey 94%
4
BMJ Global Health
●
113 papers in training set
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5.4%
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- How to incentivise doctor attendance in Bangladesh: a latent class analysis of a discrete choice experiment 94%
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5
BMC Public Health
○
158 papers in training set
Top 0.9%
4.8%
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- Disparity in the quality of COVID-19 data reporting across India 92%
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50% of probability mass above
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.