Influence of meteorological variables on the transmission of COVID-19 in Guayas and Pichincha

Authors

  • Javier Del Cioppo Morstadt Universidad Agraria del Ecuador
  • Maritza Aguirre-Munizaga Universidad Agraria del Ecuador

DOI:

https://doi.org/10.46480/esj.6.2.185

Keywords:

COVID-19 disease, Guayas, meteorological variables, Pichincha, predictions

Abstract

Ecuador, at the beginning of April 2020 suffered the sudden attack from the virus SARS-CoV-2, becoming the focus of the disease in the country and reaching one of the highest mortality rates in South America. Regarding the COVID-19 disease, daily data from official national sources were consolidated about the total number of deaths, probable and confirmed deaths as well as confirmed cases of COVID-19, data collected in the period from March 26 of 2020 to July 7 of 2021. Here we show that the main parameters are the number of people infected with COVID-19, total deaths, temperature, relative humidity, and cloudiness, once these parameters were analyzed they were allowed to understand how they can affect or influence the spread of the virus and mortality in Guayas and Pichincha caused by COVID-19. 

Downloads

Download data is not yet available.

References

BBC News Services. (2020). Coronavirus nightmare in Ecuador’s port city Guayaquil - pictures - BBC News. https://www.bbc.com/news/world-latin-america-52329500

Beverinotti, J. (2020). ALC Post COVID-19: Retos y oportunidades para países de la Región Andina | Publications. https://publications.iadb.org/publications/spanish/document/ALC-Post-COVID-19-Retos-y-oportunidades-para-CAN.pdf

Biryukov, J., Boydston, J. A., Dunning, R. A., Yeager, J. J., Wood, S., Reese, A. L., Ferris, A., Miller, D., Weaver, W., Zeitouni, N. E., Phillips, A., Freeburger, D., Hooper, I., Ratnesar-Shumate, S., Yolitz, J., Krause, M., Williams, G., Dawson, D. G., Herzog, A., … Altamura, L. A. (2020). Increasing Temperature and Relative Humidity Accelerates Inactivation of SARS-CoV-2 on Surfaces. MSphere, 5(4). https://doi.org/10.1128/mSphere.00441-20

Bravo-Acosta, M., Vélez-Solorzano, P., & Martínez- Méndez, D. (2020). Clinical characteristics of Covid-19 cases in Guayaquil, Ecuador. Journal of Human Virology & Retrovirology, 8(2). https://doi.org/10.15406/jhvrv.2020.08.00221

Callahan, A., & Shah, N. H. (2017). Machine Learning in Healthcare. In Key Advances in Clinical Informatics (pp. 279–291). Elsevier. https://doi.org/10.1016/B978-0-12-809523-2.00019-4

Censos, I. N. de E. y. (n.d.). Employment, Unemployment and Underemployment |. Retrieved September 1, 2020, from https://www.ecuadorencifras.gob.ec/empleo-desempleo-y-subempleo/

Char, D. S., Shah, N. H., & Magnus, D. (2018). Implementing machine learning in health care ’ addressing ethical challenges. In New England Journal of Medicine (Vol. 378, Issue 11, pp. 981–983). Massachussetts Medical Society. https://doi.org/10.1056/NEJMp1714229

Fong, S. J., Li, G., Dey, N., Gonzalez-Crespo, R., & Herrera-Viedma, E. (2020). Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak. International Journal of Interactive Multimedia and Artificial Intelligence, 6(1), 132. https://doi.org/10.9781/ijimai.2020.02.002

Manogaran, G., & Lopez, D. (2017). A survey of big data architectures and machine learning algorithms in healthcare. International Journal of Biomedical Engineering and Technology, 25(2–4), 182–211. https://doi.org/10.1504/IJBET.2017.087722

Mecenas, P., Bastos, R., Vallinoto, A., & Normando, D. (2020). Effects of temperature and humidity on the spread of COVID-19: A systematic review. MedRxiv. https://doi.org/10.1101/2020.04.14.20064923

Ministry of Public Health. (2021). Update on coronavirus cases in Ecuador. https://www.salud.gob.ec/actualizacion-de-casos-de-coronavirus-en-ecuador/

Moriyama, M., Hugentobler, W. J., & Iwasaki, A. (2020). Annual review of virology seasonality of respiratory viral infections. Annual Review of Virology, 7. https://doi.org/10.1146/annurev-virology-012420-022445

Omer, S., Iftime, A., & Burcea, V. (2021). COVID-19 mortality: positive correlation with cloudiness and sunlight but no correlation with latitude in Europe. MedRxiv, 2021.01.27.21250658. https://doi.org/10.1101/2021.01.27.21250658

Terminal Aeroportuaria de Guayaquil S.A. (n.d.). Estadísticas de vuelos - Aeropuerto José Joaquín de Olmedo de Guayaquil. 2020. Retrieved August 28, 2020, from http://www.tagsa.aero/estadisticas.html

Universidad Agraria del Ecuador. (2019). Platform for monitoring atmospheric data in real time of the network of weather stations of the “Universidad Agraria Del Ecuador”, Guayaquil and Milagro. http://meteorologiauae.uagraria.edu.ec/contacto.html

WHO. (2020). NWHO. (2020). Novel Coronavirus (2019-nCoV) Situation Report - 1. WHO Bulletin, (JANUARY). WHO Bulletin, JANUARY, 1–7.

World Health Organization. (2020). WHO | Novel Coronavirus – China. WHO. http://www.who.int/csr/don/12-january-2020-novel-coronavirus-china/en/

Xu, R., Rahmandad, H., Gupta, M., DiGennaro, C., Ghaffarzadegan, N., Amini, H., & Jalali, M. (2020). Weather Conditions and COVID-19 Transmission: Estimates and Projections. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3593879

Downloads

Published

2022-09-30

Issue

Section

Research Paper

How to Cite

[1]
J. Del Cioppo Morstadt and M. Aguirre-Munizaga, “Influence of meteorological variables on the transmission of COVID-19 in Guayas and Pichincha”, Ecuad. Sci. J, vol. 6, no. 2, pp. 17–25, Sep. 2022, doi: 10.46480/esj.6.2.185.