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Agenda of Meeting with PNU Students prepared by Prof Omar Hasan Kasule MB ChB (MUK), MPH (Harvard), DrPH (Harvard).
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Time |
Sunday Jan 5, 2025 |
Monday Jan 6, 2025 |
Tuesday Jan 7, 2025 |
Wednesday Jan 8, 2025 |
Thursday Jan 9, 2025 |
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7.00pm – 7.55pm |
Group 1 |
Group 4 |
Group 7 |
Group 10 |
Group 13 |
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8.00pm – 8.55pm |
Group 2 |
Group 5 |
Group 8 |
Group 11 |
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|
9.00pm – 9.55pm |
Group 3 |
Group 6 |
Group 9 |
Group 12 |
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AGENDA
WAY FORWARD
INITIAL REFERENCES
- Know one another: self-introductions – 5 minutes
- The way forward – 5 minutes
- Presentation of the proposed research program -5 minutes
- Q&A and open discussion – 30 minutes
- Vision: publish at least 2 papers; the first a review within 6 months and the second based on laboratory or data analysis within 1-3 years.
- First step: We shall start by brainstorming about the assigned topic, then the group will review the literature to narrow down the topic and develop keywords
- Second step: Systematic literature review within the group and a 1-hour presentation to Prof Omar once a week or once every two weeks.
- Third step: familiarization with available laboratory equipment and procedures to prepare one or more research proposals from each group. Faculty will be appointed as supervisors or principal investigators. Students will be co-authors.
- Some of the research will be new and innovative. Some of it will be attempts at validating research carried out outside the Kingdom.
RESEARCH PROGRAM ON
USE OF LARGE DATA TECHNOLOGY TO ANALYZE COVID-19 DATA IN THE TAWAKALNA DATA
BASE TO GENERATE AND TEST HYPOTHESES ON VIRAL DISEASES OF PUBLIC HEALTH
IMPORTANCE
- During the Covid epidemic starting in 2020 a lot of data was collected and was stored. This data can be analysed to test various hypotheses on covid and other conditions
- Many hypotheses can be formulated about transmission, clinical course, long term effects, the efficacy of vaccination etc
INITIAL REFERENCES
- Gusev E, Sarapultsev A, Solomatina L, Chereshnev V. SARS-CoV-2-Specific Immune Response and the Pathogenesis of COVID-19. .Int J Mol Sci. 2022 Feb 2;23(3):1716.
- Spassiani I, Sebastiani G, Palù G. Spatiotemporal Analysis of COVID-19 Incidence Data. Viruses. 2021 Mar 11;13(3):463.
- Zhu Z, Zhang S, Wang P, Chen X, Bi J, Cheng L, Zhang X A comprehensive review of the analysis and integration of omics data for SARS-CoV-2 and COVID-19. Brief Bioinform. 2022 Jan 17;23(1):bbab446.
- Alghamdi AM, Al Shehri WA, Almalki J, Jannah N, Alsubaei FS An architecture for COVID-19 analysis and detection using big data, AI, and data architectures. PLoS One. 2024 Aug 1;19(8):e0305483.
- Nichita DR, Dima M, Boboc L, Hâncean MG. Data analysis evidence beyond correlation of a possible causal impact of weather on the COVID-19 spread, mediated by human mobility. .Sci Rep. 2024 Aug 1;14(1):17782.
- KK, Sridhar S, Chiu KH, Hung DL, Li X, Hung IF, Tam AR, Chung TW, Chan JF, Zhang AJ, Cheng VC, Yuen KY. Lessons learned 1 year after SARS-CoV-2 emergence leading to COVID-19 pandemic. T.Emerg Microbes Infect. 2021 Dec;10(1):507-535.