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

Md. Abdul Hakim; Azizur Rahman

doi:doi:10.11648/j.cbb.20180601.13

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

Md. Abdul Hakim, Azizur Rahman

Published in Computational Biology and Bioinformatics (Volume 6, Issue 1)

Received: 12 February 2018 Accepted: 3 April 2018 Published: 5 May 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.

Published in	Computational Biology and Bioinformatics (Volume 6, Issue 1)
DOI	10.11648/j.cbb.20180601.13
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), 2018. 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://article.sciencepublishinggroup.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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TY  - JOUR
T1  - Simulating the Nutritional Traits of Populations at the Small Area Levels Using Spatial Microsimulation Modelling Approach
AU  - Md. Abdul Hakim
AU  - Azizur Rahman
Y1  - 2018/05/05
PY  - 2018
N1  - https://doi.org/10.11648/j.cbb.20180601.13
DO  - 10.11648/j.cbb.20180601.13
T2  - Computational Biology and Bioinformatics
JF  - Computational Biology and Bioinformatics
JO  - Computational Biology and Bioinformatics
SP  - 25
EP  - 30
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

Md. Abdul Hakim

Department of Food Technology and Nutritional Science, Mawlana Bhashani Science and Technology University, Santosh, Bangladesh
Azizur Rahman

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

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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

Copy | Download

@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://article.sciencepublishinggroup.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}
}

Copy | Download

TY  - JOUR
T1  - Simulating the Nutritional Traits of Populations at the Small Area Levels Using Spatial Microsimulation Modelling Approach
AU  - Md. Abdul Hakim
AU  - Azizur Rahman
Y1  - 2018/05/05
PY  - 2018
N1  - https://doi.org/10.11648/j.cbb.20180601.13
DO  - 10.11648/j.cbb.20180601.13
T2  - Computational Biology and Bioinformatics
JF  - Computational Biology and Bioinformatics
JO  - Computational Biology and Bioinformatics
SP  - 25
EP  - 30
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  -

Copy | Download