RELATIVE RISK ANALYSIS OF THE SPREAD OF COVID-19 VIRUS IN MEDAN CITY BY SPATIAL AND NON-SPATIAL APPROACHES
<span lang="EN">The city of Medan is the city with the highest cases of COVID-19 virus among cities in North Sumatra. This study was conducted to analyze the relative risk level for the spread of the COVID-19 virus. Estimation of relative risk is a statistic in disease mapping that i...
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Format: | Article |
Language: | English |
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Program Studi Matematika, Fakultas Sains dan Teknologi, UINSU Medan
2023-01-01
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Series: | Zero: Jurnal Sains, Matematika, dan Terapan |
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Online Access: | http://jurnal.uinsu.ac.id/index.php/zero/article/view/14557 |
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author | Yurid Audina Rina Filia Sari Rina Widyasari |
author_facet | Yurid Audina Rina Filia Sari Rina Widyasari |
author_sort | Yurid Audina |
collection | DOAJ |
description | <span lang="EN">The city of Medan is the city with the highest cases of COVID-19 virus among cities in North Sumatra. This study was conducted to analyze the relative risk level for the spread of the COVID-19 virus. Estimation of relative risk is a statistic in disease mapping that is used to determine the distribution of disease. Relative risk estimation can be estimated using a direct estimator model or Standardized Morbility ratio and a small area estimation model using Bayesian Conditional Autoregressive (CAR) with the Poisson-Gamma model. The Poisson-Gamma model is one of the models in estimating small areas in the form of count data which is suitable for use in disease mapping cases. This study aims to find the relative risk value as the basis for mapping the spread of the COVID-19 virus in the city of Medan using the Standardized Morbility Ratio and Bayesian Condition Autoregressive models. And look for the value of the Central Error Squared (KTG) / Mean Squared Error (MSE) as a comparison which model is more efficient in estimating this research. Condition Autoregressive models. And look for the value of the Central Error Squared (KTG) / Mean Squared Error (MSE) as a comparison which model is more efficient in estimating this research.</span> |
first_indexed | 2024-03-13T05:07:45Z |
format | Article |
id | doaj.art-3eb6ae25e79745819f75cf4954393766 |
institution | Directory Open Access Journal |
issn | 2580-569X 2580-5754 |
language | English |
last_indexed | 2024-03-13T05:07:45Z |
publishDate | 2023-01-01 |
publisher | Program Studi Matematika, Fakultas Sains dan Teknologi, UINSU Medan |
record_format | Article |
series | Zero: Jurnal Sains, Matematika, dan Terapan |
spelling | doaj.art-3eb6ae25e79745819f75cf49543937662023-06-16T07:59:58ZengProgram Studi Matematika, Fakultas Sains dan Teknologi, UINSU MedanZero: Jurnal Sains, Matematika, dan Terapan2580-569X2580-57542023-01-0162455210.30829/zero.v6i2.145575641RELATIVE RISK ANALYSIS OF THE SPREAD OF COVID-19 VIRUS IN MEDAN CITY BY SPATIAL AND NON-SPATIAL APPROACHESYurid Audina0Rina Filia Sari1Rina Widyasari2Universitas Islam Negeri Sumatera UtaraUniversitas Islam Negeri Sumatera UtaraUniversitas Islam Negeri Sumatera Utara<span lang="EN">The city of Medan is the city with the highest cases of COVID-19 virus among cities in North Sumatra. This study was conducted to analyze the relative risk level for the spread of the COVID-19 virus. Estimation of relative risk is a statistic in disease mapping that is used to determine the distribution of disease. Relative risk estimation can be estimated using a direct estimator model or Standardized Morbility ratio and a small area estimation model using Bayesian Conditional Autoregressive (CAR) with the Poisson-Gamma model. The Poisson-Gamma model is one of the models in estimating small areas in the form of count data which is suitable for use in disease mapping cases. This study aims to find the relative risk value as the basis for mapping the spread of the COVID-19 virus in the city of Medan using the Standardized Morbility Ratio and Bayesian Condition Autoregressive models. And look for the value of the Central Error Squared (KTG) / Mean Squared Error (MSE) as a comparison which model is more efficient in estimating this research. Condition Autoregressive models. And look for the value of the Central Error Squared (KTG) / Mean Squared Error (MSE) as a comparison which model is more efficient in estimating this research.</span>http://jurnal.uinsu.ac.id/index.php/zero/article/view/14557risk analysisspatial analysiscovid-19 |
spellingShingle | Yurid Audina Rina Filia Sari Rina Widyasari RELATIVE RISK ANALYSIS OF THE SPREAD OF COVID-19 VIRUS IN MEDAN CITY BY SPATIAL AND NON-SPATIAL APPROACHES Zero: Jurnal Sains, Matematika, dan Terapan risk analysis spatial analysis covid-19 |
title | RELATIVE RISK ANALYSIS OF THE SPREAD OF COVID-19 VIRUS IN MEDAN CITY BY SPATIAL AND NON-SPATIAL APPROACHES |
title_full | RELATIVE RISK ANALYSIS OF THE SPREAD OF COVID-19 VIRUS IN MEDAN CITY BY SPATIAL AND NON-SPATIAL APPROACHES |
title_fullStr | RELATIVE RISK ANALYSIS OF THE SPREAD OF COVID-19 VIRUS IN MEDAN CITY BY SPATIAL AND NON-SPATIAL APPROACHES |
title_full_unstemmed | RELATIVE RISK ANALYSIS OF THE SPREAD OF COVID-19 VIRUS IN MEDAN CITY BY SPATIAL AND NON-SPATIAL APPROACHES |
title_short | RELATIVE RISK ANALYSIS OF THE SPREAD OF COVID-19 VIRUS IN MEDAN CITY BY SPATIAL AND NON-SPATIAL APPROACHES |
title_sort | relative risk analysis of the spread of covid 19 virus in medan city by spatial and non spatial approaches |
topic | risk analysis spatial analysis covid-19 |
url | http://jurnal.uinsu.ac.id/index.php/zero/article/view/14557 |
work_keys_str_mv | AT yuridaudina relativeriskanalysisofthespreadofcovid19virusinmedancitybyspatialandnonspatialapproaches AT rinafiliasari relativeriskanalysisofthespreadofcovid19virusinmedancitybyspatialandnonspatialapproaches AT rinawidyasari relativeriskanalysisofthespreadofcovid19virusinmedancitybyspatialandnonspatialapproaches |