## 5 Conclusions and Future Work  
When the spread of deadly viruses such as COVID-19 create widespread global concern, smart and assistive technologies could provide some relief in the detection, diagnosis and medication of infected people. The proposed FCMN-based health monitoring system could be used efficiently for monitoring initial health parameters irrespective of the subject's negligence or insufficient knowledge about epidemic diseases such as the COVID-19 virus. If mass initial screening could be performed by the proposed system, then social and health data could be stored on a centralized cloud server. If infected patients then mislead health workers concerning their health status, the patients' travel activities could be monitored with multiple screenings at various locations that are equipped with the proposed system and are visited by subjects. Additionally, the human error in performing the initial screening could also be reduced. If the proposed system could be implemented at various locations and continuous screening was performed, then the health worker could also perform a trend analysis based on stored health data and could predict irregular/atypical temperature trends on a region or patient basis. The health worker could also predict the outbreak of some unknown diseases from the recorded temperature trends. The hidden patients with a particular disease could also be tracked by the proposed system. In the future, the proposed system could also assist with the identification of unknown intruders in the country by immediate health screening and further social image matching with available government databases. Since the proposed system has the capability to record the social facial image of citizens, it could be helpful in population registration using available government-issued identity cards. Conceptualization, V.K., N.K. ; methodology, V.K., H.P.S. ; investigation, Y.M., H.P.S., D.G. ; data curation, Y.M., D.A., N.K. ; writing--original draft preparation, V.K., H.G.M., N.G. ; writing--review and editing, N.G., D.G., N.K. ; visualization, N.G., H.P.S., D.G. ; supervision, Y.M., D.A. ; funding acquisition, H.G.M., Y.M. All authors have read and agreed to the published version of the manuscript. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Statistical Parameter** & **TM** & **HE** & **LI** & **FIU** & **DR** & **DV** & **Overall Average** \\ \hline Mean & 6.66 & 6.36 & 6.62 & 6.16 & 6.52 & 6.40 & 6.47 \\ \hline SD & 1.28 & 1.13 & 1.28 & 1.24 & 1.44 & 1.31 & 0.81 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Statistical analysis of surveyed outcomes. **Funding:** Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2022 TR140), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. **Data Availability Statement:** Data is available on request from first author. **Acknowledgments:** Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2022 TR140), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. **Conflicts of Interest:** The authors declare no conflict of interest. * _[PERSON] et al. (2021)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Symptoms, complications and management of long COVID: A review. _J. R. Soc. Med._**2021**, _114_, 428-442. [CrossRef]
* World Health Organization (2019) World Health Organization. Coronavirus Disease (COVID-2019) Situation Reports. Available online: [[https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports](https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports)]([https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports](https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports)) (accessed on 5 May 2022). * Government of India (2022) Government of India. COVID-19 Tracker INDIA.