Computational Biology and Bioinformatics

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Simulating the Nutritional Traits of Populations at the Small Area Levels Using Spatial Microsimulation Modelling Approach

Received: Feb. 12, 2018    Accepted: Apr. 03, 2018    Published: May 05, 2018
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Abstract

Nutritional traits simulating at an awesome local geographic level is vital for effective nutritional promotion programs, provision of better nutritional services and population-specific nutritional planning and management. Deficient in micro-dataset readily available for attributes of individuals at small areas affects the local and national agencies on the route ahead of their smooth managing of the serious nutritional issues and related risks in the community. A solution of this ongoing challenge would be to form a method to simulate reliable small area statistics. This paper provides a dashing appraisal of the methodologies for simulating nutritional traits of populations at geographical limited areas. Findings reveal that microsimulation-based spatial models have the significant robustness over the other methods stated in this study representing a more precise means of simulatingn utrition-related traits of population at the small area levels.

DOI 10.11648/j.cbb.20180601.13
Published in Computational Biology and Bioinformatics ( Volume 6, Issue 1, June 2018 )
Page(s) 25-30
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Nutritional Traits, Microsimulation Modelling, SWOT Analysis, Multilevel Models, Small Area Estimates

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  • APA Style

    Md. Abdul Hakim, Azizur Rahman. (2018). Simulating the Nutritional Traits of Populations at the Small Area Levels Using Spatial Microsimulation Modelling Approach. Computational Biology and Bioinformatics, 6(1), 25-30. https://doi.org/10.11648/j.cbb.20180601.13

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    ACS Style

    Md. Abdul Hakim; Azizur Rahman. Simulating the Nutritional Traits of Populations at the Small Area Levels Using Spatial Microsimulation Modelling Approach. Comput. Biol. Bioinform. 2018, 6(1), 25-30. doi: 10.11648/j.cbb.20180601.13

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    AMA Style

    Md. Abdul Hakim, Azizur Rahman. Simulating the Nutritional Traits of Populations at the Small Area Levels Using Spatial Microsimulation Modelling Approach. Comput Biol Bioinform. 2018;6(1):25-30. doi: 10.11648/j.cbb.20180601.13

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  • @article{10.11648/j.cbb.20180601.13,
      author = {Md. Abdul Hakim and Azizur Rahman},
      title = {Simulating the Nutritional Traits of Populations at the Small Area Levels Using Spatial Microsimulation Modelling Approach},
      journal = {Computational Biology and Bioinformatics},
      volume = {6},
      number = {1},
      pages = {25-30},
      doi = {10.11648/j.cbb.20180601.13},
      url = {https://doi.org/10.11648/j.cbb.20180601.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.cbb.20180601.13},
      abstract = {Nutritional traits simulating at an awesome local geographic level is vital for effective nutritional promotion programs, provision of better nutritional services and population-specific nutritional planning and management. Deficient in micro-dataset readily available for attributes of individuals at small areas affects the local and national agencies on the route ahead of their smooth managing of the serious nutritional issues and related risks in the community. A solution of this ongoing challenge would be to form a method to simulate reliable small area statistics. This paper provides a dashing appraisal of the methodologies for simulating nutritional traits of populations at geographical limited areas. Findings reveal that microsimulation-based spatial models have the significant robustness over the other methods stated in this study representing a more precise means of simulatingn utrition-related traits of population at the small area levels.},
     year = {2018}
    }
    

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    T1  - Simulating the Nutritional Traits of Populations at the Small Area Levels Using Spatial Microsimulation Modelling Approach
    AU  - Md. Abdul Hakim
    AU  - Azizur Rahman
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    DO  - 10.11648/j.cbb.20180601.13
    T2  - Computational Biology and Bioinformatics
    JF  - Computational Biology and Bioinformatics
    JO  - Computational Biology and Bioinformatics
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    PB  - Science Publishing Group
    SN  - 2330-8281
    UR  - https://doi.org/10.11648/j.cbb.20180601.13
    AB  - Nutritional traits simulating at an awesome local geographic level is vital for effective nutritional promotion programs, provision of better nutritional services and population-specific nutritional planning and management. Deficient in micro-dataset readily available for attributes of individuals at small areas affects the local and national agencies on the route ahead of their smooth managing of the serious nutritional issues and related risks in the community. A solution of this ongoing challenge would be to form a method to simulate reliable small area statistics. This paper provides a dashing appraisal of the methodologies for simulating nutritional traits of populations at geographical limited areas. Findings reveal that microsimulation-based spatial models have the significant robustness over the other methods stated in this study representing a more precise means of simulatingn utrition-related traits of population at the small area levels.
    VL  - 6
    IS  - 1
    ER  - 

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Author Information
  • Department of Food Technology and Nutritional Science, Mawlana Bhashani Science and Technology University, Santosh, Bangladesh

  • School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, Australia

  • Section