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Publication
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| Title of Article |
Spatial Association Patterns with Cultural and Behaviour with the Situations of COVID-19 |
| Date of Acceptance |
12 May 2023 |
| Journal |
| Title of Journal |
International Journal of Geoinformatics |
| Standard |
SCOPUS |
| Institute of Journal |
Geoinformatics International Co., Ltd |
| ISBN/ISSN |
ISSN 1686-6576 (Printed) / 2673-0014 (Online) |
| Volume |
19 |
| Issue |
4 |
| Month |
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| Year of Publication |
2023 |
| Page |
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| Abstract |
This study was a cross-sectional study. The study of spatial association patterns and the influences on the Coronavirus Disease 2019 (COVID-19) epidemic situation in Thailand was performed using secondary data from the COVID-19 interactive dashboard, Department of Disease Control, Ministry of Public Health, between January 1st, 2020, and December 31st, 2021. The Moran’s I, Local Indicators of Spatial Association (LISA), and Spatial regression was applied for statistical analysis. In the epidemic situation of COVID-19, the highest of 11,512.65 per one hundred thousand population, and the spatial association between the nighttime light average, the prevalence of smokers in Thailand, the proportion of population per village health volunteer, and the proportion of population per health care center with the epidemic situation of COVID-19 has Moran’s I = 0.309, 0.396, 0.081 and 0.424, respectively. From the Spatial Lag Model (SLM), a factor that has a spatial association with the epidemic situation of COVID-19 is the nighttime light average, the prevalence of smokers in Thailand, and the proportion of population per health care center, which can predict the epidemic situation of COVID-19 by 47.8 percent (R2=0.478). from the COVID-19 The growth factor of a large city is an important factor in population density. cause a chance to get the coronavirus easily Moreover, smoking behavior has encouraged the epidemic to spread rapidly. And the hospital is not enough to support the treatment and screening of patients to cover the population of Thailand. Therefore, it is imperative that the government plan to prepare for the situation with maximum efficiency. |
| Keyword |
Coronavirus Disease 2019, Spatial Analysis, Night time light average, Smoking behavior, Village Health Volunteer, Proportion of population per Heath care center |
| Author |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ได้รับการตอบรับให้ตีพิมพ์ |
| Level of Publication |
นานาชาติ |
| citation |
true |
| Part of thesis |
true |
| Attach file |
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| Citation |
0
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Journal Publication
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