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A Review on Spatial Technologies for Enhancing Malaria Control: Concepts, Tools, and Challenges

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@article{IJASEIT11883,
   author = {Rayner Alfred and Joe Henry Obit},
   title = {A Review on Spatial Technologies for Enhancing Malaria Control: Concepts, Tools, and Challenges},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {1},
   year = {2021},
   pages = {334--341},
   keywords = {Geographic Information System; malaria; disease outbreaks; remote sensing; machine learning.},
   abstract = {

This paper presents a review of numerous studies conducted on spatial technologies, tools, and applications for controlling malaria epidemiology. This paper mainly focuses on using statistical or machine learning-based models and geographic information science (GIS) and remote sensing (RS) technology for monitoring malaria disease outbreaks. The literature review includes all articles obtained from journals and conference proceedings published from 2000 through 2020 in Scopus indexed databases (e.g., Elsevier, Springer, IEEE eXplore, ACM, Wiley, and PubMed). We completed this systematic literature review using “Enhancing Malaria Control,” “GIS and Malaria Control” and “Spatial Technologies for Monitoring Malaria Disease Outbreaks” search terms. We found a total of 188 articles published in peer-reviewed journals listed in the Scopus indexed databases. After a detailed review, 152 articles were excluded because they did not meet our inclusion criteria; 36 articles were selected for the final evaluation. Several concepts and tools related to GIS applications in monitoring the malaria outbreak's spread is discussed. The discussion is categorized into four categories: a) Application of Spatial Technologies, b) Applications of Machine Learning Algorithms, c) Applying Multiple Sources of Data, and d) Applications of Smartphone Technologies. A spatial technologies framework for enhancing malaria monitoring is also proposed where it identifies the role of spatial technologies and applications in monitoring malaria disease outbreaks. The paper is concluded by providing some of the main challenges related to the issues in controlling the spread of malaria disease outbreaks.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11883},    doi = {10.18517/ijaseit.11.1.11883} }

EndNote

%A Alfred, Rayner
%A Obit, Joe Henry
%D 2021
%T A Review on Spatial Technologies for Enhancing Malaria Control: Concepts, Tools, and Challenges
%B 2021
%9 Geographic Information System; malaria; disease outbreaks; remote sensing; machine learning.
%! A Review on Spatial Technologies for Enhancing Malaria Control: Concepts, Tools, and Challenges
%K Geographic Information System; malaria; disease outbreaks; remote sensing; machine learning.
%X 

This paper presents a review of numerous studies conducted on spatial technologies, tools, and applications for controlling malaria epidemiology. This paper mainly focuses on using statistical or machine learning-based models and geographic information science (GIS) and remote sensing (RS) technology for monitoring malaria disease outbreaks. The literature review includes all articles obtained from journals and conference proceedings published from 2000 through 2020 in Scopus indexed databases (e.g., Elsevier, Springer, IEEE eXplore, ACM, Wiley, and PubMed). We completed this systematic literature review using “Enhancing Malaria Control,” “GIS and Malaria Control” and “Spatial Technologies for Monitoring Malaria Disease Outbreaks” search terms. We found a total of 188 articles published in peer-reviewed journals listed in the Scopus indexed databases. After a detailed review, 152 articles were excluded because they did not meet our inclusion criteria; 36 articles were selected for the final evaluation. Several concepts and tools related to GIS applications in monitoring the malaria outbreak's spread is discussed. The discussion is categorized into four categories: a) Application of Spatial Technologies, b) Applications of Machine Learning Algorithms, c) Applying Multiple Sources of Data, and d) Applications of Smartphone Technologies. A spatial technologies framework for enhancing malaria monitoring is also proposed where it identifies the role of spatial technologies and applications in monitoring malaria disease outbreaks. The paper is concluded by providing some of the main challenges related to the issues in controlling the spread of malaria disease outbreaks.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11883 %R doi:10.18517/ijaseit.11.1.11883 %J International Journal on Advanced Science, Engineering and Information Technology %V 11 %N 1 %@ 2088-5334

IEEE

Rayner Alfred and Joe Henry Obit,"A Review on Spatial Technologies for Enhancing Malaria Control: Concepts, Tools, and Challenges," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 1, pp. 334-341, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.1.11883.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Alfred, Rayner
AU  - Obit, Joe Henry
PY  - 2021
TI  - A Review on Spatial Technologies for Enhancing Malaria Control: Concepts, Tools, and Challenges
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 1
Y2  - 2021
SP  - 334
EP  - 341
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Geographic Information System; malaria; disease outbreaks; remote sensing; machine learning.
N2  - 

This paper presents a review of numerous studies conducted on spatial technologies, tools, and applications for controlling malaria epidemiology. This paper mainly focuses on using statistical or machine learning-based models and geographic information science (GIS) and remote sensing (RS) technology for monitoring malaria disease outbreaks. The literature review includes all articles obtained from journals and conference proceedings published from 2000 through 2020 in Scopus indexed databases (e.g., Elsevier, Springer, IEEE eXplore, ACM, Wiley, and PubMed). We completed this systematic literature review using “Enhancing Malaria Control,” “GIS and Malaria Control” and “Spatial Technologies for Monitoring Malaria Disease Outbreaks” search terms. We found a total of 188 articles published in peer-reviewed journals listed in the Scopus indexed databases. After a detailed review, 152 articles were excluded because they did not meet our inclusion criteria; 36 articles were selected for the final evaluation. Several concepts and tools related to GIS applications in monitoring the malaria outbreak's spread is discussed. The discussion is categorized into four categories: a) Application of Spatial Technologies, b) Applications of Machine Learning Algorithms, c) Applying Multiple Sources of Data, and d) Applications of Smartphone Technologies. A spatial technologies framework for enhancing malaria monitoring is also proposed where it identifies the role of spatial technologies and applications in monitoring malaria disease outbreaks. The paper is concluded by providing some of the main challenges related to the issues in controlling the spread of malaria disease outbreaks.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11883 DO - 10.18517/ijaseit.11.1.11883

RefWorks

RT Journal Article
ID 11883
A1 Alfred, Rayner
A1 Obit, Joe Henry
T1 A Review on Spatial Technologies for Enhancing Malaria Control: Concepts, Tools, and Challenges
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 1
YR 2021
SP 334
OP 341
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Geographic Information System; malaria; disease outbreaks; remote sensing; machine learning.
AB 

This paper presents a review of numerous studies conducted on spatial technologies, tools, and applications for controlling malaria epidemiology. This paper mainly focuses on using statistical or machine learning-based models and geographic information science (GIS) and remote sensing (RS) technology for monitoring malaria disease outbreaks. The literature review includes all articles obtained from journals and conference proceedings published from 2000 through 2020 in Scopus indexed databases (e.g., Elsevier, Springer, IEEE eXplore, ACM, Wiley, and PubMed). We completed this systematic literature review using “Enhancing Malaria Control,” “GIS and Malaria Control” and “Spatial Technologies for Monitoring Malaria Disease Outbreaks” search terms. We found a total of 188 articles published in peer-reviewed journals listed in the Scopus indexed databases. After a detailed review, 152 articles were excluded because they did not meet our inclusion criteria; 36 articles were selected for the final evaluation. Several concepts and tools related to GIS applications in monitoring the malaria outbreak's spread is discussed. The discussion is categorized into four categories: a) Application of Spatial Technologies, b) Applications of Machine Learning Algorithms, c) Applying Multiple Sources of Data, and d) Applications of Smartphone Technologies. A spatial technologies framework for enhancing malaria monitoring is also proposed where it identifies the role of spatial technologies and applications in monitoring malaria disease outbreaks. The paper is concluded by providing some of the main challenges related to the issues in controlling the spread of malaria disease outbreaks.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=11883 DO - 10.18517/ijaseit.11.1.11883