File size: 1,268 Bytes
d6dd1e7 022fb5d 4973d89 d6dd1e7 97522d5 e247d13 4973d89 a57e888 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 |
---
license: mit
widget:
- text: >-
This paper analyses the evolution of COVID 19 disease in Cameroon over the
period March 6 April 2020 using SIR model. Specifically, 1) we evaluate the
basic reproduction number of the virus. 2) Determine the peak of the
infection and the spread-out period of the disease. 3) Simulate the
interventions of public health authorities. Data used in this study is
obtained from the Ministry of Health of Cameroon. The results suggest that
over the period, the reproduction number of the COVID 19 in Cameroon is
about 1.5 and the peak of the infection could occur at the end of May 2020
with about 7.7% of the population infected. Besides, implementation of
efficient public health policies could help flattens the epidemic curve.
language:
- en
---
This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co./google/flan-t5-large) on scholarly articles in virology.
It produces structured summaries in JSON format from paper's context (title and abstract) for the research theme "R0 value of infectious diseases".
### Resources for more information:
- [Research paper](https://arxiv.org/abs/2401.10040)
- [GitHub Repo](https://github.com/mahsaSH717/r0-estimates.git) |