RIntro2021
RIntro2021 is back for the Cohort - 2
06 - 08 December, 2021
Hurry!
Registation Closes on 15th November 2021
Registration Extended until 25th November 2021
Purpose • Team • Related Work • Topics Covered • Schedule • Contact
A workshop for Health Professional organized by AMCHSS, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum.
Details of the Workshop
Register here: https://forms.gle/EyW1oAKuqPrxM3QKA
Hurry!
Registation Closes on 15th November 2021
Registration Extended until 25th November 2021
Registration Fee: Rs. 3,000/- (for students), Rs. 5,000/- (for others)
Mode: In-person (Offline/Physical)
Important Dates:
1. Opening of Registration: 04 Nov, 2021
2. Closing of Registration: 15 Nov, 2021
3. Intimation of shortlisted Candidates: 16 Nov, 2021
4. Payment Deadline: 20 Nov, 2021
5. Workshop Dates: 06-08 Dec, 2021
Workshop Flyer
Purpose
The workshop is envisioned for the development of skilled health professionals with competencies in the data science approach in health research. It is expected that after the successful completion of the workshop, the participants will be comfortable with the statistical programming language R, and the RStudio IDE environment. They will be able to work with various datasets of different formats, manage them in an efficient manner by undertaking cleaning, tidying and wrangling of data into analysable formats. They will be able to perform exploratory data analysis including data visualization and apply various statistical techniques for epidemiological inference. The participants also will be conversant in communicating their research findings through high quality documents, reports, presentations and dashboards with R Markdown.
Team
We are a group of research scholars and faculty at Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Health Sciences and Technology, who have been working with the data science approach to public health.
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Dr. Biju Soman | Professor |  |
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Dr. Gurpreet Singh | PhD Scholar | |
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Dr. Arun Mitra | PhD Scholar | |
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Related Work
The team has been involved in many research and training activities related to health data science. The major focus of our work has been the transformation of routine health data into robust evidence for informed decision making using reproducible frameworks and open-source tools inclduing R and RStudio. Some of our recent work include the development of a dashboard for tracking and monitoring COVID-19 outbreak in India using publicly available data (https://amchss-sctimst.shinyapps.io/covid_dashboard/) which has been well received and won awards at national and international forums.
Some of our recent work on the data science approach to health research are:
- Mitra, A., Pakhare, A. P., Roy, A., & Joshi, A. (2020). Impact of COVID-19 epidemic curtailment strategies in selected Indian states: an analysis by reproduction number and doubling time with incidence modelling. PloS one, 15(9), e0239026.
- Mitra A, Soman B, Singh G. An Interactive Dashboard for Real-Time Analytics and Monitoring of COVID-19 Outbreak in India: A proof of Concept. arXiv preprint arXiv:2108.09937. 2021 Aug 23.
- Singh G, Soman B, Mitra A. A Systematic Approach to Cleaning Routine Health Surveillance Datasets: An Illustration Using National Vector Borne Disease Control Programme Data of Punjab, India. arXiv preprint arXiv:2108.09963. 2021 Aug 23.
- Singh G, Srinivas G, Jyothi EK, Gayatri LK, Gaitonde R, Soman B. Containing the first outbreak of COVID-19 in a healthcare setting in India: The Sree Chitra experience. Indian Journal of Public Health. 2020 Jun 1;64(6):240.
- Singh G, Patrikar S, Sarma PS, Soman B. Time-dependent dynamic transmission potential and instantaneous reproduction number of COVID-19 pandemic in India. medRxiv. 2020 Jan 1
- Anand, N., Soman, B., & Prakash, M. (2021). Epidemiological profiling of fatal road crashes in Puducherry, South Coastal India. Indian Journal of Public Health, 65(2), 203. https://doi.org/10.4103/ijph.IJPH_1436_20
- Singh, G., & Soman, B. (2021). Spatiotemporal epidemiology and forecasting of dengue in the state of Punjab, India: Study protocol. Spatial and Spatio-Temporal Epidemiology, 39, 100444. https://doi.org/10.1016/j.sste.2021.100444
- Thompson, H. A., Mousa, A., Dighe, A., Fu, H., Arnedo-Pena, A., Barrett, P., Bellido-Blasco, J., Bi, Q., Caputi, A., Chaw, L., De Maria, L., Hoffmann, M., Mahapure, K., Ng, K., Raghuram, J., Singh, G., Soman, B., Soriano, V., Valent, F., Vimercati, L., … Ferguson, N. M. (2021). SARS-CoV-2 setting-specific transmission rates: a systematic review and meta-analysis. Clinical infectious diseases: an official publication of the Infectious Diseases Society of America, ciab100. Advance online publication. https://doi.org/10.1093/cid/ciab100
- Panicker RO, Soman B, Sabu MK. Tuberculosis Detection from Conventional Sputum Smear Microscopic Images Using Machine Learning Techniques. Hybrid Computational Intelligence: Research and Applications. 2019 Sep 30:63.
Topics Covered
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Managing Projects in RStudio
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Concepts of Tidy Data
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Data Wrangling and Transformation
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Exploratory Data Analysis
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Data Visualization
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Statistical Inference
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Communicating Research with RMarkdown
Schedule
A tentative schedule of the workshop is provided below:
| Date | Timings | Topic |
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| 06 Dec 2021 | 0900-1300 | Introduction and Concepts |
| 1400-1700 | Project Management | |
| 07 Dec 2021 | 0900-1300 | Exploratory Data Analysis and Data Visualization |
| 1400-1700 | Statistical analysis | |
| 08 Dec 2021 | 0900-1300 | Communicating Results |
| 1400-1700 | Advanced concepts / Feedback / Valedictory |
Contact
For any queries please contact:
| Email: | amchss.sctimst@gmail.com | amchss@sctimst.ac.in |
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| Phone: | +91 471 2524638 | +91 9503563356 |
| Address: | Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences & Technology, Medical College Campus, Thiruvananthapuram, Kerala 695011 |
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