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| | 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 |
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| | 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". |
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| | ### Resources for more information: |
| | - [Research paper](https://arxiv.org/abs/2401.10040) |
| | - [GitHub Repo](https://github.com/mahsaSH717/r0-estimates.git) |
