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Unraveling the influence of health protocol implementation for different clusters on COVID‐19 transmission in West Java, Indonesia
This article formulates and analyzes the COVID‐19 transmission model on West Java by considering the health protocol implementation level on three different clusters. The transmission possibilities are classified into three clusters based on the society's daily activities, including (1) retaili...
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Published in: | Mathematical methods in the applied sciences 2024-04 |
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creator | Anggriani, Nursanti Rahmi, Emli Panigoro, Hasan S. Inayaturohmat, Fatuh Surya Pangestu, Dhika Tansah Tresna, Sanubari |
description | This article formulates and analyzes the COVID‐19 transmission model on West Java by considering the health protocol implementation level on three different clusters. The transmission possibilities are classified into three clusters based on the society's daily activities, including (1) retailing, (2) transit, and (3) recreation. The model was constructed by dividing the population into seven compartments, namely, susceptible
; susceptible in Clusters 1–3 (
,
, and
); infected
; quarantined
; and recovered
sub‐populations. To confirm the biological validity of the model, the existence, uniqueness, non‐negativity, and boundedness of the solution are investigated. The dynamical behaviors are studied analytically by applying linearization for local stability and the Lyapunov function along with the LaSalle's invariant principle for global stability. Some numerical processes are demonstrated to investigate the most global sensitivity of parameters, parameter estimation, fitting data, and the impact of health protocol implementation on the density of each population. |
doi_str_mv | 10.1002/mma.10103 |
format | article |
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; susceptible in Clusters 1–3 (
,
, and
); infected
; quarantined
; and recovered
sub‐populations. To confirm the biological validity of the model, the existence, uniqueness, non‐negativity, and boundedness of the solution are investigated. The dynamical behaviors are studied analytically by applying linearization for local stability and the Lyapunov function along with the LaSalle's invariant principle for global stability. Some numerical processes are demonstrated to investigate the most global sensitivity of parameters, parameter estimation, fitting data, and the impact of health protocol implementation on the density of each population.</description><identifier>ISSN: 0170-4214</identifier><identifier>EISSN: 1099-1476</identifier><identifier>DOI: 10.1002/mma.10103</identifier><language>eng</language><ispartof>Mathematical methods in the applied sciences, 2024-04</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c189t-dc012097aa6488ef47c4a48477c4f67ab01b13c8e50a8613dadf0dfb6daef6543</cites><orcidid>0000-0003-3609-6203</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Anggriani, Nursanti</creatorcontrib><creatorcontrib>Rahmi, Emli</creatorcontrib><creatorcontrib>Panigoro, Hasan S.</creatorcontrib><creatorcontrib>Inayaturohmat, Fatuh</creatorcontrib><creatorcontrib>Surya Pangestu, Dhika</creatorcontrib><creatorcontrib>Tansah Tresna, Sanubari</creatorcontrib><title>Unraveling the influence of health protocol implementation for different clusters on COVID‐19 transmission in West Java, Indonesia</title><title>Mathematical methods in the applied sciences</title><description>This article formulates and analyzes the COVID‐19 transmission model on West Java by considering the health protocol implementation level on three different clusters. The transmission possibilities are classified into three clusters based on the society's daily activities, including (1) retailing, (2) transit, and (3) recreation. The model was constructed by dividing the population into seven compartments, namely, susceptible
; susceptible in Clusters 1–3 (
,
, and
); infected
; quarantined
; and recovered
sub‐populations. To confirm the biological validity of the model, the existence, uniqueness, non‐negativity, and boundedness of the solution are investigated. The dynamical behaviors are studied analytically by applying linearization for local stability and the Lyapunov function along with the LaSalle's invariant principle for global stability. Some numerical processes are demonstrated to investigate the most global sensitivity of parameters, parameter estimation, fitting data, and the impact of health protocol implementation on the density of each population.</description><issn>0170-4214</issn><issn>1099-1476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNotkM1OwzAQhC0EEqVw4A18RSKwm7j5OaLyV1SpFwrHaOusqVHiVLaLxI0DD8Az8iSkwGlGM5o5fEKcIlwgQHrZdTQYhGxPjBCqKkFV5PtiBFhAolJUh-IohFcAKBHTkfhcOk9v3Fr3IuOapXWm3bLTLHsj10xtXMuN72Ov-1babtNyxy5StL2TpveyscawHyKp222I7IMcmuniaXb9_fGFlYyeXOhsCLuFdfKZQ5QP9Ebncuaa3nGwdCwODLWBT_51LJa3N4_T-2S-uJtNr-aJxrKKSaMBU6gKolyVJRtVaEWqVMWgJi9oBbjCTJc8ASpzzBpqDDRmlTfEJp-obCzO_n6170PwbOqNtx359xqh3uGrB3z1L77sB6Y4ZoI</recordid><startdate>20240411</startdate><enddate>20240411</enddate><creator>Anggriani, Nursanti</creator><creator>Rahmi, Emli</creator><creator>Panigoro, Hasan S.</creator><creator>Inayaturohmat, Fatuh</creator><creator>Surya Pangestu, Dhika</creator><creator>Tansah Tresna, Sanubari</creator><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-3609-6203</orcidid></search><sort><creationdate>20240411</creationdate><title>Unraveling the influence of health protocol implementation for different clusters on COVID‐19 transmission in West Java, Indonesia</title><author>Anggriani, Nursanti ; Rahmi, Emli ; Panigoro, Hasan S. ; Inayaturohmat, Fatuh ; Surya Pangestu, Dhika ; Tansah Tresna, Sanubari</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c189t-dc012097aa6488ef47c4a48477c4f67ab01b13c8e50a8613dadf0dfb6daef6543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anggriani, Nursanti</creatorcontrib><creatorcontrib>Rahmi, Emli</creatorcontrib><creatorcontrib>Panigoro, Hasan S.</creatorcontrib><creatorcontrib>Inayaturohmat, Fatuh</creatorcontrib><creatorcontrib>Surya Pangestu, Dhika</creatorcontrib><creatorcontrib>Tansah Tresna, Sanubari</creatorcontrib><collection>CrossRef</collection><jtitle>Mathematical methods in the applied sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anggriani, Nursanti</au><au>Rahmi, Emli</au><au>Panigoro, Hasan S.</au><au>Inayaturohmat, Fatuh</au><au>Surya Pangestu, Dhika</au><au>Tansah Tresna, Sanubari</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unraveling the influence of health protocol implementation for different clusters on COVID‐19 transmission in West Java, Indonesia</atitle><jtitle>Mathematical methods in the applied sciences</jtitle><date>2024-04-11</date><risdate>2024</risdate><issn>0170-4214</issn><eissn>1099-1476</eissn><abstract>This article formulates and analyzes the COVID‐19 transmission model on West Java by considering the health protocol implementation level on three different clusters. The transmission possibilities are classified into three clusters based on the society's daily activities, including (1) retailing, (2) transit, and (3) recreation. The model was constructed by dividing the population into seven compartments, namely, susceptible
; susceptible in Clusters 1–3 (
,
, and
); infected
; quarantined
; and recovered
sub‐populations. To confirm the biological validity of the model, the existence, uniqueness, non‐negativity, and boundedness of the solution are investigated. The dynamical behaviors are studied analytically by applying linearization for local stability and the Lyapunov function along with the LaSalle's invariant principle for global stability. Some numerical processes are demonstrated to investigate the most global sensitivity of parameters, parameter estimation, fitting data, and the impact of health protocol implementation on the density of each population.</abstract><doi>10.1002/mma.10103</doi><orcidid>https://orcid.org/0000-0003-3609-6203</orcidid></addata></record> |
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title | Unraveling the influence of health protocol implementation for different clusters on COVID‐19 transmission in West Java, Indonesia |
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