Variations of air parameters during the COVID-19 Omicron variant lockdown in Surabaya

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Key words: , ,
Issue: Volume 18, Issue 2, 2024

Abstract


The Omicron variant of COVID-19, a genetic mutation of the Delta variant, is marked by higher infection rates and linked to increased air pollution. This study investigates CO, NO2, SO2, O3, PM2.5, and PM10 air quality variations in Surabaya from November 27, 2021, to May 7, 2022, during the Omicron outbreak. Methods used include Hotspot Clustering, Mean Center (MC), Directional Distribution (Standard Deviational Ellipse), and Spatial Autocorrelation (Global Moran’s I). CO, NO2, SO2, O3, PM2.5, and PM10 concentrations were determined using the Sentinel-5P satellite with Google Earth Engine. The Omicron variant’s Weighted Mean Center (WMC) was found at coordinates 696250.219731 and 9192998.5921 m in Semolowaru village. A decrease in pollutants was observed during the peak infestation from January 29, 2022, to February 26, 2022, with reductions of 11.381 μmol/m2 and -23.195 μmol/m2, indicating low mobility in residential and workplace categories. Average PM2.5 and PM10 concentrations during the study were 0.084 g/m3 and 0.043 g/m3, respectively. The correlation between COVID-19 spread and pollutant concentrations showed a moderate to weak relationship, with an R2 value of ≤ 0.5.

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Authors Affiliations
Mokhamad Nur Cahyadi* (1), Hepi Hapsari Handayani (1), Idaa Warmadewanthi (1), Soni Sunarso Sulistiawan (2), Christrijogo Sumartono W. (3) , Agus Budi Raharjo (1), Shilvy Choiriyatun Navisa (1), Nurya Ramadhania (1), Lachezar Filchev (4) , Maria Dimitrovag (4) , Plamen Trenchev (4), Deyan Gochev (4), Georgi Jelev (4) , Anjang Ahmad (5) , Endarko (1), Agung Purniawan (1)

(1) Institut Teknologi Sepuluh Nopember, Indonesia
(2) Faculty Of Medicine Universitas Airlangga-Dr. Soetomo Hospital, Indonesia
(3) Universitas Airlangga-Dr. Soetomo Hospital, Indonesia
(4) Bulgarian Academy of Science (SRTI-BAS), Bulgaria
(5) Universiti Tun Hussein Onn Malaysia (UTHM), Malaysia
* Corresponding author
Email: cahyadi@geodesy.its.ac.id

References


Alvim, D. S., Chiquetto, J. B., D’Amelio, M. T. S., Khalid, B., Herdies, D. L., Pendharkar, J., Corrêa, S. M., Figueroa, S. N., Frassoni, A., & Capistrano, V. B. (2021). Evaluating carbon monoxide and aerosol optical depth simulations from CAM-Chem using satellite observations. Remote Sensing, 13(11), 2231.
Badan Pusat Statistik. (2022). Jumlah penduduk Provinsi Jawa Timur. Retrieved from: https://jatim.bps.go.id/indicator/12/375/1/jumlah-penduduk-provinsi-jawa-timur.html.
Cahyadi, M. N., Handayani, H. H., Warmadewanthi, I. D. A. A., Rokhmana, C. A., Sulistiawan, S. S., Waloedjo, C. S., & Jin, S. (2022). Spatiotemporal analysis for COVID-19 Delta variant using GIS-based air parameter and spatial modeling. International Journal of Environmental Research and Public Health, 19(3), 1614.
Carnes, A., & Ogneva-Himmelberger, Y. (2012). Temporal variations in the distribution of West Nile virus within the United States, 2000–2008. Applied Spatial Analysis and Policy, 5(3), 211–229.
Centers for Disease Control and Prevention. (2021). SARS-CoV-2 Variant Classifications and Definitions. Retrieved from: https://www.cdc.gov/coronavirus/2019-ncov/variants/variant-info.html.
de Bont, J., Bennett, M., León-Muñoz, L. M., & Duarte-Salles, T. (2022) The prevalence and incidence rate of overweight and obesity among 2.5 million children and adolescents in Spain. Revista Española de Cardiología (English Edition), 75(4), 300-307.
DetikNews. (2022). Pasien Omicron pertama di Jatim warga Surabaya. Retrieved from: https://news.detik.com/berita-jawa-timur/d-5880808/pasien-omicron-pertama-di-jatim-warga-surabaya.
Dubin, R. A. (1992). Spatial autocorrelation and neighborhood quality. Regional Science and Urban Economics, 22(3), 433–452.
El Deeb, O. (2021) Spatial autocorrelation and the dynamics of the mean center of COVID-19 infections in Lebanon. Frontiers in Applied Mathematics and Statistics, 6, 620064.
ESRI. (n.d.). How Mean Center works. Retrieved from: https://pro.arcgis.com/en/pro-app/2.8/tool-reference/spatial-statistics/h-how-mean-center-spatial-statistics-works.htm.
ESRI. (n.d.). Modeling Spatial Relationships—ArcGIS Pro | Documentation. Retrieved September 12, 2022, Retrieved from: https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/modeling-spatial-relationships.htm%23guid-f063a8f5-9459-42f9-bf41-4e66fbbcc415
EuroNews. (2021). Omicron COVID variant appears to spread faster than Delta, WHO says. Retrieved from: https://www.euronews.com/next/2021/12/12/omicron-covid-variant-appears-to-spread-faster-than-delta-who-says.
European Space Agency. (n.d.). Sentinel-5 mission. Sentinel Online. Retrieved from https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-5
Feizizadeh, B., Omarzadeh, D., Kazemi Garajeh, M., Lakes, T., & Blaschke, T. (2023). Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine. Journal of Environmental Planning and Management, 66(4), 665–697.
Fuentes, M., Millard, K., & Laurin, E. (2020). Big geospatial data analysis for Canada’s Air Pollutant Emissions Inventory (APEI): using Google Earth engine to estimate particulate matter from exposed mine disturbance areas. GIScience & Remote Sensing, 57(2), 245-257.
Gabrielli, M. (2022) COVID-19 in Older Adults at the Time of the Omicron Variant. Journal of Clinical Medicine, 11(18), 5273.
Gorbalenya, A. E., Baker, S. C., Baric, R. S., de Groot, R. J., Drosten, C., Gulyaeva, A. A., Haagmans, B. L., Lauber, C., Leontovich, A. M., Neuman, B. W., Penzar, D., Perlman, S., Poon, L. L. M., Samborskiy, D., Sidorov, I. A., Sola, I., & Ziebuhr, J. (2020). Severe acute respiratory syndrome-related coronavirus: The species and its viruses – a statement of the Coronavirus Study Group. bioRxiv. Retrieved from: https://www.biorxiv.org/content/10.1101/2020.02.07.937862v1.full.pdf.
Gross, B., Zheng, Z., Liu, S., Chen, X., Sela, A., Li, J., & Havlin, S. (2020) Spatio-temporal propagation of COVID-19 pandemics. Europhysics Letters, 131(5), 58003.
IQAir. (n.d.). British Columbia Air Quality Index (AQI) and Canada Air Pollution. Retrieved from: https://www.iqair.com/canada/british-columbia.
Kaplan, G., & Avdan, Z. Y. (2020). Space-borne air pollution observation from Sentinel-5P TROPOMI: Relationship between pollutants, geographical and demographic data. International Journal of Engineering and Geosciences, 5(3), 130–137.
Liu, L., Dai, J., Yang, Z., Li, Y., Su, X., & Zhang, Z. (2022) Plasma-catalytic carbon dioxide conversion by reverse water–gas shift over La0. 9Ce0. 1B0. 5B’0.5 O3-δ perovskite-derived bimetallic catalysts. Chemical Engineering Journal, 431, 134009.
Ma, S., Zhang, X., Wang, K., Zhang, L., Wang, L., Zeng, T., & Tian, M. (2022). Exploring the risk factors of COVID‐19 Delta variant in the United States based on Bayesian spatio-temporal analysis. Transboundary and Emerging Diseases, 5, e2731-e2744.
Mannar, D., Saville, J. W., Zhu, X., Srivastava, S. S., Berezuk, A. M., Tuttle, K. S., Marquez, A. C., Sekirov, I., & Subramaniam, S. (2022). SARS-CoV-2 Omicron variant: Antibody evasion and cryo-EM structure of spike protein-ACE2 complex. Science, 375(6582), 760-764.
Mirror. (2021). Delta Covid variant doubles risk of needing hospital treatment. Retrieved from: https://www.mirror.co.uk/news/uk-news/new-delta-variantcases-double-25132063.
Mukherjee, A. G., Wanjari, U. R., Murali, R., Chaudhary, U., Renu, K., Madhyastha, H., & Gopalakrishnan, A. V. (2022) Omicron variant infection and the associated immunological scenario. Immunobiology, 227(3), 152222.
Nightingale, E. S., Abbott, S. & Russell, T.W. (2022). The local burden of disease during the first wave of the COVID-19 epidemic in England: estimation using different data sources from changing surveillance practices. BMC Public Health, 22(1):1–14.
Piccoli, A., Agresti, V., Balzarini, A., Bedogni, M., Bonanno, R., Collino, E., Toppetti, A. M. (2020). Modeling the effect of Covid-19 lockdown on mobility and NO2 concentration in the Lombardy region. Atmosphere, 11(12), 1319.
Purwanto, P., Utaya, S., Handoyo, B., Bachri, S., Astuti, I. S., Utomo, K. S. B., & Aldianto, Y. E. (2021). Spatiotemporal analysis of COVID-19 spread with emerging hotspot analysis and space-time cube models in East Java, Indonesia. ISPRS International Journal of Geo-Information, 10(3), 133.
Qu, L. A., Chen, Z., Li, M., Zhi, J., & Wang, H. (2021). Accuracy improvements to pixel-based and object-based LULC classification with auxiliary datasets from Google Earth Engine. Remote Sensing, 13(3), 453.
Rossman, H., Keshet, A., Shilo, S., Gavrieli, A., Bauman, T., Cohen, O., Segal, E. (2020). A framework for identifying regional outbreak and spread of COVID-19 from one minute population-wide surveys. Nature Medicine, 26, 634–638.
Sánchez-Martín, J. M., Rengifo-Gallego, J. I., & Blas-Morato, R. (2019). Hot spot analysis versus cluster and outlier analysis: An enquiry into the grouping of rural accommodation in Extremadura (Spain). ISPRS International Journal of Geo-Information, 8(4), 176.
Saxena, S. K., Kumar, S., Ansari, S., Paweska, J. T., Maurya, V. K., Tripathi, A. K., & Abdel-Moneim, A. S. (2021). Characterisation of the novel SARS-CoV-2 Omicron (B.1.1.529) variant of concern and its global perspective. Journal of Medical Virology. 94(4), 1738-1744.
Surabaya Lawan COVID-19. (2021). Statistik. Retrieved from: https://lawancovid-19.surabaya.go.id/visualisasi/graph.
Suzuki, R., Yamasoba, D., Kimura, I., Wang, L., Kishimoto, M., Ito, J., & Sato, K. (2022) Attenuated fusogenicity and pathogenicity of SARS-CoV-2 Omicron variant. Nature, 603(7902), 700-705.
Thul, L., & Powell, W. (2023) Stochastic optimisation for vaccine and testing kit allocation for the COVID-19 pandemic. European Journal of Operational Research, 304(1), 325-338.
Tong, C., Shi, W., Zhang, A., & Shi, Z. (2022). Tracking and controlling the spatiotemporal spread of SARS-CoV-2 Omicron variant in South Africa. Travel Medicine and Infectious Disease, 46, 102252.
U.S. EPA. (2017). Particulate Matter (PM) Pollution. U.S. EPA: Washington, DC, USA. Retrieved from: https://www.epa.gov/pm-pollution/particulate-matter-pm-basics.
Vîrghileanu, M., Săvulescu, I., Mihai, B. A., Nistor, C., & Dobre, R. (2020). Nitrogen dioxide (NO2) pollution monitoring with Sentinel-5P satellite imagery over Europe during the coronavirus pandemic outbreak. Remote Sensing, 12(21), 3575.
World Health Organization. (2021). WHO Factsheet: Ambient (outdoor) air pollution. Retrieved from: https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health.

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Title: Human Geographies - Journal of Studies and Research in Human Geography
ISSN online: 2067-2284
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Prof. dr. Liliana Dumitrache
University of Bucharest, Faculty of Geography- Human and Economic Geography Department, 1 Nicolae Balcescu Av., 010041, Bucharest, Romania

Dr. Daniela Dumbrăveanu
University of Bucharest, Faculty of Geography- Human and Economic Geography Department, 1 Nicolae Balcescu Av., 010041, Bucharest, Romania

Dr. Mariana Nae
University of Bucharest, Faculty of Geography- Human and Economic Geography Department, 1 Nicolae Balcescu Av., 010041, Bucharest, Romania

Dr. Gabriel Simion
University of Bucharest, Faculty of Geography- Human and Economic Geography Department, 1 Nicolae Balcescu Av., 010041, Bucharest, Romania

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