Effect of Seasonal Land Surface Temperature Variation on COVID-19 Infection Rate: A Google Earth Engine-Based Remote Sensing Approach
This study aims to identify the effect of seasonal land surface temperature variation on the COVID-19 infection rate. The study area of this research is Bangladesh and its 8 divisions. The Google Earth Engine (GEE) platform has been used to extract the land surface temperature (LST) values from MODI...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2022-10-01
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| Series: | Environmental Health Insights |
| Online Access: | https://doi.org/10.1177/11786302221131467 |
| _version_ | 1811238374856458240 |
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| author | Sk. Nafiz Rahaman Tanvir Shehzad Maria Sultana |
| author_facet | Sk. Nafiz Rahaman Tanvir Shehzad Maria Sultana |
| author_sort | Sk. Nafiz Rahaman |
| collection | DOAJ |
| description | This study aims to identify the effect of seasonal land surface temperature variation on the COVID-19 infection rate. The study area of this research is Bangladesh and its 8 divisions. The Google Earth Engine (GEE) platform has been used to extract the land surface temperature (LST) values from MODIS satellite imagery from May 2020 to July 2021. The per-day new COVID-19 cases data has also been collected for the same date range. Descriptive and statistical results show that after experiencing a high LST season, the new COVID-19 cases rise. On the other hand, the COVID-19 infection rate decreases when the LST falls in the winter. Also, rapid ups and downs in LST cause a high number of new cases. Mobility, social interaction, and unexpected weather change may be the main factors behind this relationship between LST and COVID-19 infection rates. |
| first_indexed | 2024-04-12T12:40:40Z |
| format | Article |
| id | doaj.art-8ee1936277f24a02ababdb73a65a07cf |
| institution | Directory Open Access Journal |
| issn | 1178-6302 |
| language | English |
| last_indexed | 2024-04-12T12:40:40Z |
| publishDate | 2022-10-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Environmental Health Insights |
| spelling | doaj.art-8ee1936277f24a02ababdb73a65a07cf2022-12-22T03:32:47ZengSAGE PublishingEnvironmental Health Insights1178-63022022-10-011610.1177/11786302221131467Effect of Seasonal Land Surface Temperature Variation on COVID-19 Infection Rate: A Google Earth Engine-Based Remote Sensing ApproachSk. Nafiz RahamanTanvir ShehzadMaria SultanaThis study aims to identify the effect of seasonal land surface temperature variation on the COVID-19 infection rate. The study area of this research is Bangladesh and its 8 divisions. The Google Earth Engine (GEE) platform has been used to extract the land surface temperature (LST) values from MODIS satellite imagery from May 2020 to July 2021. The per-day new COVID-19 cases data has also been collected for the same date range. Descriptive and statistical results show that after experiencing a high LST season, the new COVID-19 cases rise. On the other hand, the COVID-19 infection rate decreases when the LST falls in the winter. Also, rapid ups and downs in LST cause a high number of new cases. Mobility, social interaction, and unexpected weather change may be the main factors behind this relationship between LST and COVID-19 infection rates.https://doi.org/10.1177/11786302221131467 |
| spellingShingle | Sk. Nafiz Rahaman Tanvir Shehzad Maria Sultana Effect of Seasonal Land Surface Temperature Variation on COVID-19 Infection Rate: A Google Earth Engine-Based Remote Sensing Approach Environmental Health Insights |
| title | Effect of Seasonal Land Surface Temperature Variation on COVID-19 Infection Rate: A Google Earth Engine-Based Remote Sensing Approach |
| title_full | Effect of Seasonal Land Surface Temperature Variation on COVID-19 Infection Rate: A Google Earth Engine-Based Remote Sensing Approach |
| title_fullStr | Effect of Seasonal Land Surface Temperature Variation on COVID-19 Infection Rate: A Google Earth Engine-Based Remote Sensing Approach |
| title_full_unstemmed | Effect of Seasonal Land Surface Temperature Variation on COVID-19 Infection Rate: A Google Earth Engine-Based Remote Sensing Approach |
| title_short | Effect of Seasonal Land Surface Temperature Variation on COVID-19 Infection Rate: A Google Earth Engine-Based Remote Sensing Approach |
| title_sort | effect of seasonal land surface temperature variation on covid 19 infection rate a google earth engine based remote sensing approach |
| url | https://doi.org/10.1177/11786302221131467 |
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