Mathematical Simulation Analysis of Body Temperature Observations Covid-19 Patients

Ayly Soekanto, Emillia Devi Dwi Rianti, Endrayana Putut Laksminto Emanuel, Hardiyono Hardiyono

Abstract


At the end of January 2022 as many as 33 countries with new cases of 85% new variant called omicron which is the concern of the World Health Organization. Patients who have been diagnosed with COVID-19 are analyzed for temperature starting from the appearance of fever and until they experience recovery, followed by a decrease in body temperature and loss of fever. This study aims to conduct a mathematical simulation analysis of the observation of the body temperature of covid 19 patients. The research method is descriptive analysis by analyzing using mathematical simulations on the fever of covid 19 patients until the temperature changes to normal again. In February - March 2022, this research was carried out at the general practitioner clinic in Surabaya, Putat Gede, Sukomanunggal sub-district, with positive results from a swab examination and an infrared thermometer. The study population was patients with positive Covid-19 swab results, with a large study sample of 30 Covid-19 patients. The results showed that there was a mathematical simulation with a fever variation of 38 C. – 39.5 C occurs in covid 19 patients. The temperature is decreasing day by day approaching the normal body temperature according to the fever that is gone and healing occurs in Covid 19 patients.

Keywords


math simulation; fever; covid 19

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References


Achlison U. 2020. Implementation Analysis. Human Body Temperature Measurement in the Covid-19 Pandemic in Indonesia. Pixel :Scientific Journal of Computer Graphics. https://doi.org/10.51903/pixel.v13i2.318

Amalia, H. (2021). Omicron causes COVID-19 as a variant of concern. Journal of Biomedics And Health. https://doi.org/10.18051/jbiomedkes.2021.v4.139-141

Bates, J. T., Pennington, A. F., Zhai, X., Friberg, M. D., Metcalf, F., Darrow, L., … Russell, A. (2018). Application and evaluation of two model fusion approaches to obtain ambient air pollutant concentrations at a fine spatial resolution (250m) in Atlanta. Environmental Modelling and Software. https://doi.org/10.1016/j.envsoft.2018.06.008

Carrier, M., Apparicio, P., Séguin, A. M., & Crouse, D. (2014). The application of three methods to measure the statistical association between different social groups and the concentration of air pollutants in Montreal: A case of environmental equity. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2014.05.001

Chalik, 2016. (2016). Physiological Anatomy of MAnusia, Ministry of Health of the Republic of Indonesia. Ministry of Health of the Republic of Indonesia

Coudon, T., Hourani, H., Nguyen, C., Faure, E., Mancini, F. R., Fervers, B., & Salizzoni, P. (2018). Assessment of long-term exposure to airborne dioxin and cadmium concentrations in the Lyon metropolitan area (France). Environment International. https://doi.org/10.1016/j.envint.2017.11.027

Dash, A. K., Sahu, S. K., Pradhan, A., Dash, S. K., & Kolli, R. N. (2017). Air dispersion model to study the point source air pollution and its impact on ambient air quality. Asian Journal of Chemistry. https://doi.org/10.14233/ajchem.2017.20477

Ding, F. M., Feng, Y., Han, L., Zhou, Y., Ji, Y., Hao, H. J., … Zhang, M. (2021). Early Fever Is Associated With Clinical Outcomes in Patients With Coronavirus Disease. Frontiers in Public Health, 9(August). https://doi.org/10.3389/fpubh.2021.712190

dos Santos, L. H. M., Kerr, A. A. F. S., Veríssimo, T. G., Andrade, M. de F., de Miranda, R. M., Fornaro, A., & Saldiva, P. (2014). Analysis of atmospheric aerosol (PM2.5) in Recife city, Brazil. Journal of the Air and Waste Management Association. https://doi.org/10.1080/10962247.2013.854282

Fallah-Shorshani, M., Shekarrizfard, M., & Hatzopoulou, M. (2017). Integrating a street-canyon model with a regional Gaussian dispersion model for improved characterisation of near-road air pollution. Atmospheric Environment. https://doi.org/10.1016/j.atmosenv.2017.01.006

Gallagher, J., & Lago, C. (2019). How parked cars affect pollutant dispersion at street level in an urban street canyon? A CFD modelling exercise assessing geometrical detailing and pollutant decay rates. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2018.10.135

Gul, M. H., Htun, Z. M., & Inayat, A. (2021). Role of fever and ambient temperature in COVID-19. Expert Review of Respiratory Medicine, 15(2), 171–173. https://doi.org/10.1080/17476348.2020.1816172

He, B., Heal, M. R., & Reis, S. (2018). Land-use regression modelling of intra-urban air pollution variation in China: Current status and future needs. Atmosphere. https://doi.org/10.3390/atmos9040134

Hendry, J., Sumanto, B., Prayoga, B. T., Budiani, R. L., Lestari, R. A., Yuda, P. P., & Nugroho, A. A. (2021). Prototype of Wearable Glasses for Body Temperature Monitoring for COVID-19 Mitigation. Journal of Physics: Conference Series, 1844(1). https://doi.org/10.1088/1742-6596/1844/1/012014

Hennig, F., Sugiri, D., Tzivian, L., Fuks, K., Moebus, S., Jöckel, K. H., … Hoffmann, B. (2016). Comparison of land-use regression modeling with dispersion and chemistry transport modeling to assign air pollution concentrations within the Ruhr area. Atmosphere. https://doi.org/10.3390/atmos7030048

Jayusman, I., & Shavab, O. A. K. (2020). Student Learning Activities Using Edmodo-Based Learning Management System (LMS) Learning Media in History Learning. Journal of Artifacts, 7(1), 13. https://doi.org/10.25157/ja.v7i1.3180

Karyono, K., Rohadin, R., & Indriyani, D. (2020). HANDLING AND PREVENTION OF THE CORONAVIRUS (COVID-19) PANDEMIC IN INDRAMAYU REGENCY. Journal of Conflict Resolution Collaboration. https://doi.org/10.24198/jkrk.v2i2.29127

Ministry of Health of the Republic of Indonesia. (2020). August 2020 COVID-19 MANAGEMENT GUIDELINES. Retrieved from https://www.papdi.or.id/pdfs/938/Pedoman COVID-19 Management 2nd edition.pdf

Lau, S. K. P., Woo, P. C. Y., Wong, B. H. L., Tsoi, H. W., Woo, G. K. S., Poon, R. W. S., Chan, K. H., Wei, W. I., Malik Peiris, J. S., & Yuen, K. Y. (2004). Detection of severe acute respiratory syndrome (SARS) coronavirus nucleocapsid protein in SARS patients by enzyme-linked immunosorbent assay. Journal of Clinical Microbiology. https://doi.org/10.1128/JCM.42.7.2884-2889.2004

Merico, E., Dinoi, A., & Contini, D. (2019). Development of an integrated modelling-measurement system for near-real-time estimates of harbour activity impact to atmospheric pollution in coastal cities. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2019.06.009

Morakinyo, T. E., Lam, Y. F., & Hao, S. (2016). Evaluating the role of green infrastructures on near-road pollutant dispersion and removal: Modelling and measurement. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2016.07.077

Moreira, D. M., & dos Santos, C. A. G. (2019). New approach to handle gas-particle transformation in air pollution modelling using fractional derivatives. Atmospheric Pollution Research. https://doi.org/10.1016/j.apr.2019.05.006

Nyberg, T., Ferguson, N. M., Nash, S. G., Webster, H. H., Flaxman, S., Andrews, N., Hinsley, W., Bernal, J. L., Kall, M., Bhatt, S., Blomquist, P. B., Zaidi, A., Volz, E., Abdul Aziz, N., Harman, K., Hope, R., Charlett, A., Chand, M. A., Ghani, A., … Thelwall, S. (2022). Comparative Analysis of the Risks of Hospitalisation and Death Associated with SARS-CoV-2 Omicron (B.1.1.529) and Delta (B.1.617.2) Variants in England. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4025932

Unang Achlison. (2020a). Analisis Implementasi Pengukuran Suhu Tubuh Manusia dalam Pandemi Covid-19 di Indonesia. Pixel :Jurnal Ilmiah Komputer Grafis. https://doi.org/10.51903/pixel.v13i2.318

Unang Achlison. (2020b). Analisis Implementasi Pengukuran Suhu Tubuh Manusia dalam Pandemi Covid-19 di Indonesia. Pixel :Jurnal Ilmiah Komputer Grafis, 13(2), 102–106. https://doi.org/10.51903/pixel.v13i2.318

VERMA, S., ABBAS, M., VERMA, S., KHAN, A., RIZVI, A. A., & MAHDI, F. (2021). Effectiveness of Blood Pressure and Body Temperature Screening for Severity in COVID-19 Patients. Journal of Microbiology and Infectious Diseases, October, 147–151. https://doi.org/10.5799/jmid.993892

Vicente, B., Rafael, S., Rodrigues, V., Relvas, H., Vilaça, M., Teixeira, J., … Borrego, C. (2018). Influence of different complexity levels of road traffic models on air quality modelling at street scale. Air Quality, Atmosphere and Health. https://doi.org/10.1007/s11869-018-0621-1

Wright, W. F., & MacKowiak, P. A. (2021). Why Temperature Screening for Coronavirus Disease 2019 with Noncontact Infrared Thermometers Does Not Work. Open Forum Infectious Diseases, 8(1), 4–6. https://doi.org/10.1093/ofid/ofaa603

Yuan, C., Shan, R., Zhang, Y., Li, X. X., Yin, T., Hang, J., & Norford, L. (2019). Multilayer urban canopy modelling and mapping for traffic pollutant dispersion at high density urban areas. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2018.07.409




DOI: http://dx.doi.org/10.30742/jikw.v12i1.2179

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