Sheikh Taslim Ali |
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Pursuing PhD in Statistics
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Imperial College London
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MoMA Scholar (SRF UGC, New Delhi) Karnatak University, Dharwad
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Skills (11)
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278 Questions6662 Followers
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0 Questions6 Followers
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2 Questions39 Followers
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20 Questions62 Followers
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4 Questions1621 Followers
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34 Questions3462 Followers
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22 Questions1886 Followers
Research experience
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Oct 2011
Research: Commonwealth Split Site Doctoral Scheme
Imperial College London · Department of Infectious Disease Epidemiology · Imperial College LondonProf Neil Ferguson's Research Group, MRC Centre for Outbreak Analysis and Modelling · LondonModeling of Influenza A/H1N1 in India, Public Health, Control Policies -
Nov 2009–
Sep 2011Research: UGC MRP Project
Karnatak University's KACD · Statistics · Karnatak University's KACDStatistics (Karnatak University) · DharwadStochastic Modeling of Influenza A/H1N1 in India.
Education
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Oct 2011
Imperial College London
Infectious Disease Epidemiology · Commonwealth Split-Site Doctoral Research (PhD)United Kingdom · London -
Nov 2009
Karnatak University
Stochastic Modeling of Infectious Disease, Control Policies, Public Health. · PhD in StatisticsIndia · Dharwad -
Jul 2006–
Jun 2008Karnatak University
Statistics · Master of Science in STATISTICSIndia · Dharwad -
Aug 2002–
May 2006Haldia Govt. College (Vidyasagar University)
Statistics (Hons), Mathematics, Physics · Bachelor of Science in STATISTICS (Honours)India · Haldia (West Bengal)
Awards & achievements
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Oct 2011Award: Commonwealth Split Site Scholarship 2011-12 tenable at UK
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Apr 2010Award: Maulana Azad National Fellowship (SRF, UGC New Delhi), MoMA Scholar,
Other
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LanguagesEnglish, Hindi, Urdu and Bengali
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Scientific Memberships Life member of International Society for Infectious Diseases (ISID), from January 2012.
Student Member of International Biometric Society (IBS) British & Irish Region, 2012-13.
Life member of Indian Society for Probability and Statistics (ISPS), from August 2010. -
Journal RefereesExpositions
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Other InterestsHealth Protection Agency's Modelling & Economical Evaluation
Questions and Answers (2) View all
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Answer added in Epidemiology and Public Health13 BiostatisticanBy Muazam Abbas Ranjha ·Sheikh Taslim Ali · Imperial College LondonHopefully it is a time series data set on particular area. You can evaluate the epidemiological parameters like reproduction numbers (Basic/Effective)... [more]Hopefully it is a time series data set on particular area. You can evaluate the epidemiological parameters like reproduction numbers (Basic/Effective), etc. Based on that you may able to suggest a control strategies or policies. If the data are real time series with sufficiency one can use the data directly, otherwise he/she should go first data Assimilation before.Following
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Question asked in E-Learning for Epidemiology & Statistics1 Very helpful....Great chance to share and exchange the ideas on this developing area of science for the public health benefit.Great chance to share and exchange the ideas on this developing area of science for the public health benefit.By Sheikh Taslim Ali · Imperial College LondonFollowing
Publications (1) View all
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Article: The transmission dynamics of pandemic influenza A/H1N1 2009–2010 in India
S. R. Gani, Sk. Taslim Ali 1 and A. S. Kadi[show abstract] [hide abstract]
ABSTRACT: To understand the transmission dynamics of the prevailing pandemic 2009–10, due to the newly emerged pathogen influenza A/H1N1 throughout India, we have analysed the daily reported time-series dataset of the first two waves and a comparative study has been made for different regions of India. In order to quantify the early intensity of the strain, we have estimated basic reproduction number (R0) through initial intrinsic growth rate method using standard deterministic SEIR model and effective reproduction number (Rt ) through the stochastic SIR model using Bayesian inference. The estimate of reproduction number for India is 1.46 with 95% CI (1.15, 1.77), whereas for different states, the reproduction number is between 1.03 and 1.75.Current science 10/2011; 101,(8):1065. · 0.94 Impact Factor