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Study of Mathematical Modeling for Plant Disease Transmission: A Systematic Literature Review during 2012-2022

Jambura Journal of Biomathematics (JJBM) · Vol. ume (2023) · hlm. 1–14

DOI
10.34312/jjbm.v4i1.18443
ISSN
2723-0317
Terbit
2023-04-06
Penerbit
Department of Mathematics, Universitas Negeri Gorontalo
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Many models representing disease transmission have been constructed and analyzed mathematically. However, literature studies on the mathematical models for vector-borne disease are sparse, especially on the plant disease transmission model. This study aims to obtain information about the research conducted and find room for developing the model, including mathematical analysis, intervention used, and biological factors considered. We employ a Systematic Literature Review (SLR) to explore all of the studies on plant disease transmission modeling collected from four digital databases. First, the JabRef reference manager helps conduct the inclusion and exclusion processing. Then, we obtain 60 selected articles that passed the criterion. Next, the VOSviewer application is resulting a bibliometric analysis of the database containing chosen articles. Finally, we classify the model constructed based on the system used and elaborate on the intervention used. The results show that the existing researcher clusters are not linked to each other, and the models only consider usual interventions such as roguing and insecticide spraying. Hence, there is much room to build collaboration between the researcher and develop models for plant disease transmission by considering the other various intervention and biological factors in the model to improve further.

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  • Padjadjaran University
  • Khulna University
  • University of Nusa Cendana
  • Sunan Gunung Djati State Islamic University Bandung
  • Universitas Islam Makassar
  • Bandung Institute of Technology
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Rekan penulisOrganisasiArtikel bersama
Meksianis Zadrak NdiiUniversity of Nusa Cendana3
Ema CarniaPadjadjaran University2
Mia Siti KhumaerohSunan Gunung Djati State Islamic University Bandung2
Laura LauraPadjadjaran University2
Ati MaryatiPadjadjaran University1
Ananda Ayu PermatasariPadjadjaran University1
Panji Fortuna HadisoemartoPadjadjaran University1
Dwi AgustianPadjadjaran University1
Md. Haider Ali BiswasKhulna University1
Sk. Abdus SamadKhulna University1
Tahera ParvinKhulna University1
Md. Tusberul IslamKhulna University1
Anita TriskaPadjadjaran University1
Muhammad Haekal DzulfikarPadjadjaran University1
Edy SoewonoBandung Institute of Technology1
H. ServianaUniversitas Islam Makassar1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ejurnal.ung.ac.id/index.php/JJBM/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Study of Mathematical Modeling for Plant Disease Transmission: A Systematic Literature Review during 2012-2022</dc:title>
	<dc:creator>Tresna, Sanubari Tansah</dc:creator>
	<dc:creator>Anggriani, Nursanti</dc:creator>
	<dc:creator>Supriatna, Asep Kuswandi</dc:creator>
	<dc:subject xml:lang="en-US">Bibliometric analysis; Mathematical model; Plant disease; Prisma method</dc:subject>
	<dc:description xml:lang="en-US">Many models representing disease transmission have been constructed and analyzed mathematically. However, literature studies on the mathematical models for vector-borne disease are sparse, especially on the plant disease transmission model. This study aims to obtain information about the research conducted and find room for developing the model, including mathematical analysis, intervention used, and biological factors considered. We employ a Systematic Literature Review (SLR) to explore all of the studies on plant disease transmission modeling collected from four digital databases. First, the JabRef reference manager helps conduct the inclusion and exclusion processing. Then, we obtain 60 selected articles that passed the criterion. Next, the VOSviewer application is resulting a bibliometric analysis of the database containing chosen articles. Finally, we classify the model constructed based on the system used and elaborate on the intervention used. The results show that the existing researcher clusters are not linked to each other, and the models only consider usual interventions such as roguing and insecticide spraying. Hence, there is much room to build collaboration between the researcher and develop models for plant disease transmission by considering the other various intervention and biological factors in the model to improve further.</dc:description>
	<dc:publisher xml:lang="en-US">Department of Mathematics, Universitas Negeri Gorontalo</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2023-04-06</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ejurnal.ung.ac.id/index.php/JJBM/article/view/18443</dc:identifier>
	<dc:identifier>10.34312/jjbm.v4i1.18443</dc:identifier>
	<dc:source xml:lang="en-US">Jambura Journal of Biomathematics (JJBM); Volume 4, Issue 1: June 2023; 1-14</dc:source>
	<dc:source>2723-0317</dc:source>
	<dc:source>10.34312/jjbm.v4i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejurnal.ung.ac.id/index.php/JJBM/article/view/18443/6337</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Sanubari Tansah Tresna, Nursanti Anggriani, Asep Kuswandi Supriatna</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc/4.0</dc:rights>
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