Search Results - "Nandi, Anita K."

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    Prediction paradigm involving time series applied to total blood issues data from England by Nandi, Anita K., Roberts, David J., Nandi, Asoke K.

    Published in Transfusion (Philadelphia, Pa.) (01-03-2020)
    “…BACKGROUND Blood products are essential for modern medicine, but managing their collection and supply in the face of fluctuating demands represents a major…”
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  5. 5

    A simulation study of disaggregation regression for spatial disease mapping by Arambepola, Rohan, Lucas, Tim C. D., Nandi, Anita K., Gething, Peter W., Cameron, Ewan

    Published in Statistics in medicine (15-01-2022)
    “…Disaggregation regression has become an important tool in spatial disease mapping for making fine‐scale predictions of disease risk from aggregated response…”
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    Journal Article
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    Improved long‐term time‐series predictions of total blood use data from England by Nandi, Anita K., Roberts, David J., Nandi, Asoke K.

    Published in Transfusion (Philadelphia, Pa.) (01-10-2020)
    “…Background Red blood cells are essential for modern medicine but managing their collection and supply to cope with fluctuating demands represents a major…”
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    Journal Article
  7. 7

    disaggregation : An R Package for Bayesian Spatial Disaggregation Modeling by Nandi, Anita K., Lucas, Tim C. D., Arambepola, Rohan, Gething, Peter, Weiss, Daniel J.

    Published in Journal of statistical software (2023)
    “…Disaggregation modeling, or downscaling, has become an important discipline in epidemiology. Surveillance data, aggregated over large regions, is becoming more…”
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    Journal Article
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    Predicting non-state terrorism worldwide by Python, Andre, Bender, Andreas, Nandi, Anita K., Hancock, Penelope A., Arambepola, Rohan, Brandsch, Jürgen, Lucas, Tim C. D.

    Published in Science advances (01-07-2021)
    “…Predictive models informed by theory may produce policy-relevant prediction of terrorism. Several thousand people die every year worldwide because of terrorist…”
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    Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019 by Abrams, Elissa M, Akombi, Blessing, Alam, Samiah, Alcalde-Rabanal, Jacqueline Elizabeth, Allebeck, Peter, Amini-Rarani, Mostafa, Atnafu, Desta Debalkie, Ausloos, Marcel, Ayanore, Martin Amogre, Azari, Samad, Azene, Zelalem Nigussie, Babaee, Ebrahim, Bante, Agegnehu Bante, Bisanzio, Donal, Bohluli, Mehdi, Breitborde, Nicholas J K, Briant, Paul Svitil, Castelpietra, Giulio, Cunningham, Matthew, Das, Jai K, das Neves, José, Demsie, Desalegn Getnet, Denova-Gutiérrez, Edgar, Eagan, Arielle Wilder, Elhabashy, Hala Rashad, Emmons-Bell, Sophia, Foroutan, Masoud, Gebreslassie, Assefa Ayalew Ayalew Ayalew, Ghashghaee, Ahmad, Ghith, Nermin, Gitimoghaddam, Mojgan, Goulart, Bárbara Niegia Garcia, Gubari, Mohammed Ibrahim Mohialdeen, Guled, Rashid Abdi, Hamagharib Abdullah, Kanaan, Hassankhani, Hadi, Hayat, Khezar, Herteliu, Claudiu, Hoek, Hans W, Holla, Ramesh, Househ, Mowafa, Islam, MdMohaimenul, Jafarinia, Morteza, Jahani, Mohammad Ali, James, Spencer L, Jonas, Jost B, Kabir, Zubair, Kalani, Hamed, Kalhor, Rohollah, Khundkar, Roba, Kneib, Cameron J, Koyanagi, Ai, Larson, Samantha Leigh, Ledesma, Jorge R, Leung, Janni, Lorkowski, Stefan, Lunevicius, Raimundas, McKee, Martin, Mendoza, Walter, Mengesha, Endalkachew Worku, Meretoja, Tuomo J, Mestrovic, Tomislav, Mihretie, Kebadnew Mulatu, Momen, Natalie C, Moradi, Ghobad, Morrison, Shane Douglas, Mueller, Ulrich Otto, Muriithi, Moses K, Ngunjiri, Josephine W, Olusanya, Bolajoko Olubukunola, Otstavnov, Nikita, P A, Mahesh, Palladino, Raffaele, Park, Eun-Kee, Pereira, Alexandre, Pham, Hai Quang, Plana-Ripoll, Oleguer, Pourshams, Akram, Prada, Sergio I, Rao, Puja C, Rathi, Priya, Riahi, Seyed Mohammad, Salem, Marwa R Rashad, Sanabria, Juan, Shamsizadeh, Morteza, Shannawaz, Mohammed, Shiferaw, Wondimeneh Shibabaw, Shigematsu, Mika, Shiri, Rahman, Sokhan, Anton, Sorrie, Muluken Bekele, Sreeramareddy, Chandrashekhar T, Steiner, Caitlyn, Sudaryanto, Agus, Ward, Joseph L, Wei, Jingkai, Weiss, Jordan, Xu, Rixing, Yaya, Sanni, Yip, Paul

    Published in The Lancet (British edition) (17-10-2020)
    “…In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends…”
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    Journal Article
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    A simulation study of disaggregation regression for spatial disease mapping by Arambepola, Rohan, Lucas, Tim C D, Nandi, Anita K, Gething, Peter W, Cameron, Ewan

    Published 07-05-2020
    “…Disaggregation regression has become an important tool in spatial disease mapping for making fine-scale predictions of disease risk from aggregated response…”
    Get full text
    Journal Article
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    disaggregation: An R Package for Bayesian Spatial Disaggregation Modelling by Nandi, Anita K, Lucas, Tim C. D, Arambepola, Rohan, Gething, Peter, Weiss, Daniel J

    Published 09-01-2020
    “…Disaggregation modelling, or downscaling, has become an important discipline in epidemiology. Surveillance data, aggregated over large regions, is becoming…”
    Get full text
    Journal Article