IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i9p4989-d797675.html
   My bibliography  Save this article

Relationship between Meteorological and Air Quality Parameters and COVID-19 in Casablanca Region, Morocco

Author

Listed:
  • Mohamed Khalis

    (International School of Public Health, Mohammed VI University of Health Sciences (UM6SS), Casablanca 82403, Morocco)

  • Aly Badara Toure

    (International School of Public Health, Mohammed VI University of Health Sciences (UM6SS), Casablanca 82403, Morocco)

  • Imad El Badisy

    (International School of Public Health, Mohammed VI University of Health Sciences (UM6SS), Casablanca 82403, Morocco)

  • Kenza Khomsi

    (International School of Public Health, Mohammed VI University of Health Sciences (UM6SS), Casablanca 82403, Morocco
    General Directorate of Meteorology, Casablanca 20000, Morocco)

  • Houda Najmi

    (General Directorate of Meteorology, Casablanca 20000, Morocco)

  • Oumnia Bouaddi

    (International School of Public Health, Mohammed VI University of Health Sciences (UM6SS), Casablanca 82403, Morocco)

  • Abdelghafour Marfak

    (National School of Public Health, Rabat 10000, Morocco
    Laboratory of Health Sciences and Technology, Higher Institute of Health Sciences, Hassan 1st University of Settat, Settat 26000, Morocco)

  • Wael K. Al-Delaimy

    (Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA 92093, USA)

  • Mohamed Berraho

    (Department of Epidemiology, Faculty of Medicine and Pharmacy of Fez, Sidi Mohamed Ben Abdellah University, Fez 30000, Morocco)

  • Chakib Nejjari

    (International School of Public Health, Mohammed VI University of Health Sciences (UM6SS), Casablanca 82403, Morocco)

Abstract

The aim of this study was to investigate the relationship between meteorological parameters, air quality and daily COVID-19 transmission in Morocco. We collected daily data of confirmed COVID-19 cases in the Casablanca region, as well as meteorological parameters (average temperature, wind, relative humidity, precipitation, duration of insolation) and air quality parameters (CO, NO 2 , 03, SO 2 , PM10) during the period of 2 March 2020, to 31 December 2020. The General Additive Model (GAM) was used to assess the impact of these parameters on daily cases of COVID-19. A total of 172,746 confirmed cases were reported in the study period. Positive associations were observed between COVID-19 and wind above 20 m/s and humidity above 80%. However, temperatures above 25° were negatively associated with daily cases of COVID-19. PM10 and O 3 had a positive effect on the increase in the number of daily confirmed COVID-19 cases, while precipitation had a borderline effect below 25 mm and a negative effect above this value. The findings in this study suggest that significant associations exist between meteorological factors, air quality pollution (PM10) and the transmission of COVID-19. Our findings may help public health authorities better control the spread of COVID-19.

Suggested Citation

  • Mohamed Khalis & Aly Badara Toure & Imad El Badisy & Kenza Khomsi & Houda Najmi & Oumnia Bouaddi & Abdelghafour Marfak & Wael K. Al-Delaimy & Mohamed Berraho & Chakib Nejjari, 2022. "Relationship between Meteorological and Air Quality Parameters and COVID-19 in Casablanca Region, Morocco," IJERPH, MDPI, vol. 19(9), pages 1-13, April.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:4989-:d:797675
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/9/4989/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/9/4989/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Joji Abraham & Christopher Turville & Kim Dowling & Singarayer Florentine, 2021. "Does Climate Play Any Role in COVID-19 Spreading?—An Australian Perspective," IJERPH, MDPI, vol. 18(17), pages 1-14, August.
    2. Bogdan Bochenek & Mateusz Jankowski & Marta Gruszczynska & Grzegorz Nykiel & Maciej Gruszczynski & Adam Jaczewski & Michal Ziemianski & Robert Pyrc & Mariusz Figurski & Jarosław Pinkas, 2021. "Impact of Meteorological Conditions on the Dynamics of the COVID-19 Pandemic in Poland," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
    3. Mingyue Zhao & Yuanxin Liu & Amatus Gyilbag, 2022. "Assessment of Meteorological Variables and Air Pollution Affecting COVID-19 Cases in Urban Agglomerations: Evidence from China," IJERPH, MDPI, vol. 19(1), pages 1-14, January.
    4. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2020. "The relationship between air pollution and COVID-19-related deaths: An application to three French cities," Applied Energy, Elsevier, vol. 279(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tomasz Wołowiec & Iuliia Myroshnychenko & Ihor Vakulenko & Sylwester Bogacki & Anna Maria Wiśniewska & Svitlana Kolosok & Vitaliy Yunger, 2022. "International Impact of COVID-19 on Energy Economics and Environmental Pollution: A Scoping Review," Energies, MDPI, vol. 15(22), pages 1-26, November.
    2. Zaffar Ahmed Shaikh & Polina Datsyuk & Laura M. Baitenova & Larisa Belinskaja & Natalia Ivolgina & Gulmira Rysmakhanova & Tomonobu Senjyu, 2022. "Effect of the COVID-19 Pandemic on Renewable Energy Firm’s Profitability and Capitalization," Sustainability, MDPI, vol. 14(11), pages 1-15, June.
    3. Samany, Najmeh Neysani & Toomanian, Ara & Maher, Ali & Hanani, Khatereh & Zali, Ali Reza, 2021. "The most places at risk surrounding the COVID-19 treatment hospitals in an urban environment- case study: Tehran city," Land Use Policy, Elsevier, vol. 109(C).
    4. Ai, Hongshan & Zhong, Tenglong & Zhou, Zhengqing, 2022. "The real economic costs of COVID-19: Insights from electricity consumption data in Hunan Province, China," Energy Economics, Elsevier, vol. 105(C).
    5. Soytas, Ugur & Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2022. "Economic and environmental implications of the nuclear power phase-out in Belgium: Insights from time-series models and a partial differential equations algorithm," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 241-256.
    6. Przemysław Śleszyński & Amir Reza Khavarian-Garmsir & Maciej Nowak & Paulina Legutko-Kobus & Mohammad Hajian Hossein Abadi & Noura Al Nasiri, 2023. "COVID-19 Spatial Policy: A Comparative Review of Urban Policies in the European Union and the Middle East," Sustainability, MDPI, vol. 15(3), pages 1-30, January.
    7. Magazzino, Cosimo & Alola, Andrew Adewale & Schneider, Nicolas, 2021. "The trilemma of innovation, logistics performance, and environmental quality in 25 topmost logistics countries: a quantile regression evidence," LSE Research Online Documents on Economics 117654, London School of Economics and Political Science, LSE Library.
    8. Lorenzo Gianquintieri & Maria Antonia Brovelli & Andrea Pagliosa & Rodolfo Bonora & Giuseppe Maria Sechi & Enrico Gianluca Caiani, 2021. "Geospatial Correlation Analysis between Air Pollution Indicators and Estimated Speed of COVID-19 Diffusion in the Lombardy Region (Italy)," IJERPH, MDPI, vol. 18(22), pages 1-18, November.
    9. Shahzad, Umer & Schneider, Nicolas & Ben Jebli, Mehdi, 2021. "How coal and geothermal energies interact with industrial development and carbon emissions? An autoregressive distributed lags approach to the Philippines," Resources Policy, Elsevier, vol. 74(C).
    10. Becchetti, Leonardo & Beccari, Gabriele & Conzo, Gianluigi & Conzo, Pierluigi & De Santis, Davide & Salustri, Francesco, 2022. "Particulate matter and COVID-19 excess deaths: Decomposing long-term exposure and short-term effects," Ecological Economics, Elsevier, vol. 194(C).
    11. Himeur, Yassine & Ghanem, Khalida & Alsalemi, Abdullah & Bensaali, Faycal & Amira, Abbes, 2021. "Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives," Applied Energy, Elsevier, vol. 287(C).
    12. Angelo Spena & Leonardo Palombi & Massimo Corcione & Alessandro Quintino & Mariachiara Carestia & Vincenzo Andrea Spena, 2020. "Predicting SARS-CoV-2 Weather-Induced Seasonal Virulence from Atmospheric Air Enthalpy," IJERPH, MDPI, vol. 17(23), pages 1-14, December.
    13. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2021. "A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions," Renewable Energy, Elsevier, vol. 167(C), pages 99-115.
    14. Costa, Vinicius B.F. & Pereira, Lígia C. & Andrade, Jorge V.B. & Bonatto, Benedito D., 2022. "Future assessment of the impact of the COVID-19 pandemic on the electricity market based on a stochastic socioeconomic model," Applied Energy, Elsevier, vol. 313(C).
    15. Ewa Brągoszewska & Anna Mainka, 2022. "Impact of Different Air Pollutants (PM 10 , PM 2.5 , NO 2 , and Bacterial Aerosols) on COVID-19 Cases in Gliwice, Southern Poland," IJERPH, MDPI, vol. 19(21), pages 1-12, October.
    16. Kong, Jun & Jiang, Wen & Tian, Qing & Jiang, Min & Liu, Tianshan, 2023. "Anomaly detection based on joint spatio-temporal learning for building electricity consumption," Applied Energy, Elsevier, vol. 334(C).
    17. Cosimo Magazzino & Marco Mele & Fabio Gaetano Santeramo, 2021. "Using an Artificial Neural Networks Experiment to Assess the Links among Financial Development and Growth in Agriculture," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    18. Cosimo Magazzino & Marco Mele & Giovanna Morelli, 2021. "The Relationship between Renewable Energy and Economic Growth in a Time of Covid-19: A Machine Learning Experiment on the Brazilian Economy," Sustainability, MDPI, vol. 13(3), pages 1-22, January.
    19. Nikta Bahman Bijari & Mohammad Hadi Mahdinia & Mohammad Reza Mansouri Daneshvar, 2021. "Investigation of the urbanization contribution to the COVID-19 outbreak in Iran and the MECA countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17964-17985, December.
    20. Sharma, Gagan Deep & Tiwari, Aviral Kumar & Jain, Mansi & Yadav, Anshita & Srivastava, Mrinalini, 2021. "COVID-19 and environmental concerns: A rapid review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:4989-:d:797675. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.