Sandip Mandal
Indian Council of Medical Research
39 Papers
98 Citations
Sandip Mandal is an academic researcher from Indian Council of Medical Research. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 11, co-authored 35 publications. Previous affiliations of Sandip Mandal include Visva-Bharati University & Tokyo University of Marine Science and Technology.
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Papers
Mathematical models of malaria - a review
TL;DR: The aim of this article is to develop a hierarchical structure of a range of deterministic models of different levels of complexity, and elaborate the evolution of modelling strategies to describe malaria incidence by including the critical features of host-vector-parasite interactions.
Feasibility of achieving the 2025 WHO global tuberculosis targets in South Africa, China, and India: a combined analysis of 11 mathematical models
Rein M G J Houben,Nicolas A Menzies,Tom Sumner,Grace H. Huynh,Nimalan Arinaminpathy,Nimalan Arinaminpathy,Jeremy D. Goldhaber-Fiebert,Hsien-Ho Lin,Chieh Yin Wu,Sandip Mandal,Surabhi Pandey,Sze-chuan Suen,Eran Bendavid,Andrew S. Azman,David W. Dowdy,Nicolas Bacaër,Allison S. Rhines,Allison S. Rhines,Marcus W. Feldman,Andreas Handel,Christopher C. Whalen,Stewart T. Chang,Bradley G. Wagner,Philip A. Eckhoff,James M. Trauer,James M. Trauer,Justin T Denholm,Emma S. McBryde,Emma S. McBryde,Ted Cohen,Joshua A. Salomon,Carel Pretorius,Marek Lalli,Jeffrey W. Eaton,Delia Boccia,Mehran Hosseini,Gabriela B. Gomez,Suvanand Sahu,Colleen Daniels,Lucica Ditiu,Daniel P. Chin,Lixia Wang,Vineet K. Chadha,Kiran Rade,Puneet Dewan,Piotr Hippner,Salome Charalambous,Alison D. Grant,Gavin J. Churchyard,Yogan Pillay,L. David Mametja,Michael E. Kimerling,Anna Vassall,Richard G. White +53 more
TL;DR: Major reductions in tuberculosis burden seem possible with current interventions, however, additional interventions, adapted to country-specific tuberculosis epidemiology and health systems, are needed to reach the post-2015 End TB Strategy targets at country level.
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Cost-effectiveness and resource implications of aggressive action on tuberculosis in China, India, and South Africa: a combined analysis of nine models.
Nicolas A Menzies,Gabriela B. Gomez,Gabriela B. Gomez,Fiammetta Bozzani,Susmita Chatterjee,Nicola L. Foster,Ines Garcia Baena,Yoko V. Laurence,Sun Qiang,Andrew M. Siroka,Sedona Sweeney,Stéphane Verguet,Nimalan Arinaminpathy,Nimalan Arinaminpathy,Andrew S. Azman,Eran Bendavid,Stewart T. Chang,Ted Cohen,Justin T Denholm,David W. Dowdy,Philip A. Eckhoff,Jeremy D. Goldhaber-Fiebert,Andreas Handel,Grace H. Huynh,Marek Lalli,Hsien-Ho Lin,Sandip Mandal,Emma S. McBryde,Emma S. McBryde,Surabhi Pandey,Joshua A. Salomon,Sze-chuan Suen,Tom Sumner,James M. Trauer,James M. Trauer,Bradley G. Wagner,Christopher C. Whalen,Chieh Yin Wu,Delia Boccia,Vineet K. Chadha,Salome Charalambous,Daniel P. Chin,Gavin J. Churchyard,Gavin J. Churchyard,Colleen Daniels,Puneet Dewan,Lucica Ditiu,Jeffrey W. Eaton,Alison D. Grant,Alison D. Grant,Alison D. Grant,Piotr Hippner,Mehran Hosseini,David Mametja,Carel Pretorius,Yogan Pillay,Kiran Rade,Suvanand Sahu,Lixia Wang,Rein M G J Houben,Michael E. Kimerling,Richard G. White,Anna Vassall +62 more
TL;DR: In general, expansion of tuberculosis services substantially reduced patient-incurred costs and, in India and China, produced net cost savings for most interventions under a societal perspective, and most intervention approaches seemed highly cost-effective.
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Counting the lives saved by DOTS in India: a model-based approach.
Sandip Mandal,Vineet K. Chadha,Ramanan Laxminarayan,Ramanan Laxminarayan,Ramanan Laxminarayan,Nimalan Arinaminpathy,Nimalan Arinaminpathy +6 more
TL;DR: A mathematical model of TB transmission dynamics and mortality is developed, capturing the scale-up of DOTS in India, through the rollout of the Revised National TB Control Programme (RNTCP), estimating that 42% of this impact was due to the ‘indirect’ effects of the RNTCP in averting transmission as well as improving treatment outcomes.
Order to chaos and vice versa in an aquatic ecosystem
TL;DR: Gradually toxin values of phytoplankton are increased in the model which turn the system dynamics from chaos to doubling state to limit cycle and the system finally settles down to an equilibrium point.
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