Post COVID-19 Effect on Medical Staff and Doctors' Productivity Analysed by Machine Learning

Main Article Content

Maitham G. Yousif
Khalid Hashim
Salman Rawaf


The COVID-19 pandemic has profoundly affected the healthcare sector and the productivity of medical staff and doctors. This study employs machine learning to analyze the post-COVID-19 impact on the productivity of medical staff and doctors across various specialties. A cross-sectional study was conducted on 960 participants from different specialties between June 1, 2022, and April 5, 2023. The study collected demographic data, including age, gender, and socioeconomic status, as well as information on participants' sleeping habits and any COVID-19 complications they experienced. The findings indicate a significant decline in the productivity of medical staff and doctors, with an average reduction of 23% during the post-COVID-19 period. These results reflect the overall impact observed following the entire course of the COVID-19 pandemic and are not specific to a particular wave. The analysis revealed that older participants experienced a more pronounced decline in productivity, with a mean decrease of 35% compared to younger participants. Female participants, on average, had a 28% decrease in productivity compared to their male counterparts. Moreover, individuals with lower socioeconomic status exhibited a substantial decline in productivity, experiencing an average decrease of 40% compared to those with higher socioeconomic status. Similarly, participants who slept for fewer hours per night had a significant decline in productivity, with an average decrease of 33% compared to those who had sufficient sleep. The machine learning analysis identified age, specialty, COVID-19 complications, socioeconomic status, and sleeping time as crucial predictors of productivity score. The study highlights the significant impact of post-COVID-19 on the productivity of medical staff and doctors in Iraq. The findings can aid healthcare organizations in devising strategies to mitigate the negative consequences of COVID-19 on medical staff and doctors' productivity.

Article Details

How to Cite
Post COVID-19 Effect on Medical Staff and Doctors’ Productivity Analysed by Machine Learning. Baghdad Sci.J [Internet]. 2023 Aug. 30 [cited 2024 May 18];20(4(SI):1507. Available from:
Special Issue - Current advances in anti-infective strategies
Author Biography

Khalid Hashim, Department of Civil Engineering, School of Civil Engineering and Built Environment, Liverpool John Moors University, Liverpool, UK.

خالد هاشم القسم: كلية الهندسة المدنية والبيئية، جامعة ليفربول جون مورز، المملكة المتحدة المنصب: استاذ مشارك 

How to Cite

Post COVID-19 Effect on Medical Staff and Doctors’ Productivity Analysed by Machine Learning. Baghdad Sci.J [Internet]. 2023 Aug. 30 [cited 2024 May 18];20(4(SI):1507. Available from:


Vijayakumar V. Personal Protection Prior to Preoperative Assessment—Little more an anaesthesiologist can do to prevent SARS-CoV-2 transmission and COVID-19 infection. Ain Shams J. Anesthesiol. 2020 Apr 15; 12(1): 13.

Al-Jibouri KJ, Yousif MG, Sadeq AM, Al-Jumeily D. Psycho-immunological status of patients recovered from SARS-Cov-2. J Surv Fish Sci. 2023 Mar 4; 10(3S): 1409-17.

Kaye AD, Okeagu CN, Pham AD, Silva RA, Hurley JJ, Arron BL, Sarfraz N, Lee HN, Ghali GE, Gamble JW, Liu H. Economic impact of COVID-19 pandemic on healthcare facilities and systems: International perspectives. Best Practice & Research Clinical Anaesthesiology. 2021 Oct 1; 35(3): 293-306.

Elghazally SA, Alkarn AF, Elkhayat H, Ibrahim AK, Elkhayat MR. Burnout impact of COVID-19 pandemic on health-care professionals at assiut university hospitals, 2020. Int J Environ Res. Public Health. 2021 May 18; 18(10): 5368.

Shirley ED, Sanders JO. Patient satisfaction: implications and predictors of success. J Bone Joint Surg Am. 2013 May 15; 95(10): e69.

Yousif MG, Sadeq AM, Alfadhel SM, Al-Amran FG, Al-Jumeilyran D. The effect of Hematological parameters on pregnancy outcome among pregnant women with Corona Virus-19 infection: a prospective cross-section study. J Surv Fish Sci. 2023 Mar 4; 10(3S): 1425-35.

Lafta R, Qusay N, Mary M, Burnham G. Violence against doctors in Iraq during the time of COVID-19. PLoS One. 2021 Aug 6; 16(8): e0254401.

Gray R, Sanders C. A reflection on the impact of COVID-19 on primary care in the United Kingdom. J Interprof Care. 2020 Sep 2; 34(5): 672-8.

Johari S, Jha KN. How the aptitude of workers affects construction labor productivity. J Manag Eng. - ASCE. 2020 Sep 1; 36(5): 04020055.

Lee SM, Lee D. Opportunities and challenges for contactless healthcare services in the post-COVID-19 Era. Technol Forecast Soc Change. 2021 Jun 1; 167: 120712.

Yavorsky JE, Qian Y, Sargent AC. The gendered pandemic: The implications of COVID-19 for work and family. In Working in America 2022 Dec 30 (pp. 305-317). Routledge.

Bergman L, Falk AC, Wolf A, Larsson IM. Registered nurses' experiences of working in the intensive care unit during the COVID‐19 pandemic. Nurs Crit Care. 2021 Nov; 26(6): 467-75.

Brophy JT, Keith MM, Hurley M, McArthur JE. Sacrificed: Ontario healthcare workers in the time of COVID-19. New Solut. 2021 Feb; 30(4): 267-81.

Yousif M G. Wheat Allergy and its Association with COVID-19: Prevalence, Symptoms, and Predictive Analysis in Post-COVID-19 Patients, 11 July 2023, Version 1.

Ali SE, Khaleel FM. Assessing the Activity of Renin and GST in the Serum of Ladies Suffering from Polycystic Ovary Syndrome and COVID-19 to Predict the Danger of Cardiac Disease. Baghdad Sci J. 2023 Jun 20; 20(3 (Suppl.): 0986-.

Salah HA, Ahmed AS. Coronavirus disease diagnosis, care and prevention (COVID-19) based on decision support system. Baghdad Sci J. 2021 Sep 1; 18(3): 0593-.

Murugan S, Assi S, Alatrany A, Jayabalan M, Liatsis P, Mustafina J, et al. Consumer Behavior Prediction During Covid-19 Pandemic Conditions Using Sentiment Analytics. Int Conf Eng Emerg Technol. 2022 Dec 20: 209-221. Singapore: Springer Nature Singapore.

Krok D, Zarzycka B, Telka E. Risk of contracting COVID-19, personal resources and subjective well-being among healthcare workers: The mediating role of stress and meaning-making. J Clin Med. 2021 Jan 2; 10(1): 132.

Krukowski RA, Jagsi R, Cardel MI. Academic productivity differences by gender and child age in science, technology, engineering, mathematics, and medicine faculty during the COVID-19 pandemic. J Womens Health.2021 Mar 1; 30(3): 341-7.

Woitowich NC, Jain S, Arora VM, Joffe H. COVID-19 threatens progress toward gender equity within academic medicine. Acad Med. 2021 Jun; 96(6): 813.

Peterman A, Potts A, O'Donnell M, Thompson K, Shah N, Oertelt-Prigione S, et al. Pandemics and violence against women and children. Washington, DC: Center for Global Development; 2020 Apr 1.

Yousif NG, Altimimi AN, Al-amran FG, Lee JA, Al-Fadhel SM, Hussien SR, et al. Hematological changes among Corona virus-19 patients: a longitudinal study. Sys Rev Pharm. 2020 May 1; 11(5).

Similar Articles

You may also start an advanced similarity search for this article.