Post-COVID syndrome in psychiatric practice.

The novel coronavirus SARS-CoV-2 is associated with a significant incidence of neuropsychiatric disorders, which tend to have a long course in the post-COVID period. Objective(s): to study post-COVID mental disorders in clinical psychiatric practice. Patients and methods. 30 patients aged 37.75+/-14.07 years with anamnesis of SARS-CoV-2 infection were examined. Clinical scale assessment was carried out using the Hamilton Depression and Anxiety Scale. The Symptom-Checklist (SCL-90-R) was used to assess the psychopathological status of the patient. Patients' cognitive functioning was assessed using the Mini-Cog Cognitive Assessment Questionnaire. Patients' sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI). Results and discussion. Mental disorders associated with a previous coronavirus infection are observed in a wide time range from less than 1 month to a year after the previous disease, and in no case did the coronavirus infection have a severe course. Sleep disorders, anxiety and depressive disorders, which did not exceed a moderate degree of severity, and asthenia dominated in the structure of the post-COVID syndrome. The level of mental distress in patients with post-COVID syndrome increased 2 times. Post-COVID mental disorders are interrelated with female gender, age, and psychotraumatic factors associated with the pandemic. Cognitive impairment mediated by mental disorders was observed in approximately 60% of patients and did not reach the degree of dementia. Conclusion. The clinical picture of the post-COVID syndrome is represented by a wide range of mental disorders, the development of which involves not only biological, but also psychosocial factors associated with the COVID-19 pandemic, which determines the specifics of diagnostic approaches and the feasibility of complex treatment of the post-COVID syndrome.Copyright © 2022 Ima-Press Publishing House. All rights reserved.

Post-COVID syndrome in psychiatric practice

The novel coronavirus SARS-CoV-2 is associated with a significant incidence of neuropsychiatric disorders, which tend to have a long course in the post-COVID period. Objective(s): to study post-COVID mental disorders in clinical psychiatric practice. Patients and methods. 30 patients aged 37.75+/-14.07 years with anamnesis of SARS-CoV-2 infection were examined. Clinical scale assessment was carried out using the Hamilton Depression and Anxiety Scale. The Symptom-Checklist (SCL-90-R) was used to assess the psychopathological status of the patient. Patients' cognitive functioning was assessed using the Mini-Cog Cognitive Assessment Questionnaire. Patients' sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI). Results and discussion. Mental disorders associated with a previous coronavirus infection are observed in a wide time range from less than 1 month to a year after the previous disease, and in no case did the coronavirus infection have a severe course. Sleep disorders, anxiety and depressive disorders, which did not exceed a moderate degree of severity, and asthenia dominated in the structure of the post-COVID syndrome. The level of mental distress in patients with post-COVID syndrome increased 2 times. Post-COVID mental disorders are interrelated with female gender, age, and psychotraumatic factors associated with the pandemic. Cognitive impairment mediated by mental disorders was observed in approximately 60% of patients and did not reach the degree of dementia. Conclusion. The clinical picture of the post-COVID syndrome is represented by a wide range of mental disorders, the development of which involves not only biological, but also psychosocial factors associated with the COVID-19 pandemic, which determines the specifics of diagnostic approaches and the feasibility of complex treatment of the post-COVID syndrome.Copyright © 2022 Ima-Press Publishing House. All rights reserved.

An imported case of ovale malaria in Xinjiang during the epidemic period of COVID-19.

On December 13, 2020, Yutian County People's hospital reported one imported malaria case in Hotan, Xinjiang. The patient had worked and lived in Yaounde, Cameroon, from January to September 2020. He was infected with malaria twice in March and May 2020. Antimalarial treatment was administrated by the team doctor for 2-3 days in each treatment. The treatment was stopped after the symptoms improved. The patient returned to China on September 16 and was hospitalized on December 13 due to a high fever of 39! and upper respiratory symptoms. Multiple detections of COVID-19 nucleic acid showed negative results. Peripheral blood from the patient was taken for Plasmodium rapid diagnostic test (RDT), which showed a positive result suggesting non Plasmodium falciparum infection. Ring stage P. ovale was found in the blood smear. Nested PCR showed positive for P. ovale. A diagnosis of imported ovale malaria was made. The patient was administrated with 4 dihydroartemisinin piperaquine tablets and 3 primaquine phosphate tablets daily. The malaria parasite test became negative after 8 days of treatment. The patient was followed up for 3 months after discharge and had no symptoms of chills or fever.Copyright © 2022, National Institute of Parasitic Diseases. All rights reserved.

Post-COVID syndrome in psychiatric practice.

The novel coronavirus SARS-CoV-2 is associated with a significant incidence of neuropsychiatric disorders, which tend to have a long course in the post-COVID period. Objective(s): to study post-COVID mental disorders in clinical psychiatric practice. Patients and methods. 30 patients aged 37.75+/-14.07 years with anamnesis of SARS-CoV-2 infection were examined. Clinical scale assessment was carried out using the Hamilton Depression and Anxiety Scale. The Symptom-Checklist (SCL-90-R) was used to assess the psychopathological status of the patient. Patients' cognitive functioning was assessed using the Mini-Cog Cognitive Assessment Questionnaire. Patients' sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI). Results and discussion. Mental disorders associated with a previous coronavirus infection are observed in a wide time range from less than 1 month to a year after the previous disease, and in no case did the coronavirus infection have a severe course. Sleep disorders, anxiety and depressive disorders, which did not exceed a moderate degree of severity, and asthenia dominated in the structure of the post-COVID syndrome. The level of mental distress in patients with post-COVID syndrome increased 2 times. Post-COVID mental disorders are interrelated with female gender, age, and psychotraumatic factors associated with the pandemic. Cognitive impairment mediated by mental disorders was observed in approximately 60% of patients and did not reach the degree of dementia. Conclusion. The clinical picture of the post-COVID syndrome is represented by a wide range of mental disorders, the development of which involves not only biological, but also psychosocial factors associated with the COVID-19 pandemic, which determines the specifics of diagnostic approaches and the feasibility of complex treatment of the post-COVID syndrome.Copyright © 2022 Ima-Press Publishing House. All rights reserved.

Quantitative Evaluation of Municipal Wastewater Disinfection by 280 nm UVC LED

UV-LED irradiation has attracted attention in water and wastewater disinfection applications. However, no studies have quantitatively investigated the impact of light intensity on the UV dosage for the same magnitude of disinfection. This study presents a powerful 280 nm UV-LED photoreactor with adjustable light intensity to disinfect municipal wastewater contaminated with E. coli, SARS-CoV-2 genetic materials and others. The disinfection performance of the 280 nm LED was also compared with 405 nm visible light LEDs, in terms of inactivating E. coli and total coliforms, as well as reducing cATP activities. The results showed that the UV dose needed per log reduction of E. coli and total coliforms, as well as cATP, could be decreased by increasing the light intensity within the investigated range (0–9640 µW/cm2). Higher energy consumption is needed for microbial disinfection using the 405 nm LED when compared to 280 nm LED. The signal of SARS-CoV-2 genetic material in wastewater and the SARS-CoV-2 spike protein in pure water decreased upon 280 nm UV irradiation. © 2023 by the authors.

Effect of low-to-moderate dose glucocorticoids on viral clearance in COVID-19: a retrospective study.

Objective: To study the effect of low-to-moderate dose glucocorticoid therapy on viral clearance in patients with COVID-19. Methods: A total of 72 patients diagnosed with COVID-19 from January 19 to February 17, 2020 at the First Affiliated Hospital, Zhejiang University School of Medicine were recruited. All patients received oral arbidol and combination of lopinavir/ritonavir or darunavir/cobistitat for antiviral therapy, and symptomatic supportive care. Among them, 51 patients received methylprednisolone (0.75-1.50 mg.kg-1.d-1) (glucocorticoid treatment group), and 21 patients did not use glucocorticoid (control group). The time of virologic negative conversion in sputum and the time of radiologic recovery in lung since onset were compared between the two groups. The Kruskal-Wallis test or Fisher exact test was used to compare the difference between groups. Results: The median ages of the glucocorticoid group and the control group were 52 (45, 62) and 46 (32, 56) years (chi2=4.365, P<0.05). The clinical conditions at hospital admission were different between the two groups (P<0.01). The severe cases accounted for 52.0%, while moderate cases in the control group accounted for 71.4%. The median times from the onset to virologic negative conversion in the two groups were 15 (13, 20) and 14 (12, 20) days (P>0.05). The median times from onset to radiologic recovery were 13 (11, 15) and 13 (12, 17) days in the two groups (P>0.05). In moderate cases, the median times from the onset to virologic conversion in sputum were 13 (11, 18) days in the glucocorticoid group and 13 (12, 15) days in the control group (P>0.05). The median times from onset to radiologic recovery in lung were 12 (10, 15) and 13 (12, 17) days, respectively (P>0.05). Conclusion(s): Low-to-moderate glucocorticoid treatment has no effect on the time of virus clearance in patients with different clinical types of COVID-19, and also no effect on accelerating radiologic recovery in lung, so it is not recommended.Copyright © 2020 by the Chinese Medical Association.

Effect of low-to-moderate dose glucocorticoids on viral clearance in COVID-19: a retrospective study.

Objective: To study the effect of low-to-moderate dose glucocorticoid therapy on viral clearance in patients with COVID-19. Methods: A total of 72 patients diagnosed with COVID-19 from January 19 to February 17, 2020 at the First Affiliated Hospital, Zhejiang University School of Medicine were recruited. All patients received oral arbidol and combination of lopinavir/ritonavir or darunavir/cobistitat for antiviral therapy, and symptomatic supportive care. Among them, 51 patients received methylprednisolone (0.75-1.50 mg.kg-1.d-1) (glucocorticoid treatment group), and 21 patients did not use glucocorticoid (control group). The time of virologic negative conversion in sputum and the time of radiologic recovery in lung since onset were compared between the two groups. The Kruskal-Wallis test or Fisher exact test was used to compare the difference between groups. Results: The median ages of the glucocorticoid group and the control group were 52 (45, 62) and 46 (32, 56) years (chi2=4.365, P<0.05). The clinical conditions at hospital admission were different between the two groups (P<0.01). The severe cases accounted for 52.0%, while moderate cases in the control group accounted for 71.4%. The median times from the onset to virologic negative conversion in the two groups were 15 (13, 20) and 14 (12, 20) days (P>0.05). The median times from onset to radiologic recovery were 13 (11, 15) and 13 (12, 17) days in the two groups (P>0.05). In moderate cases, the median times from the onset to virologic conversion in sputum were 13 (11, 18) days in the glucocorticoid group and 13 (12, 15) days in the control group (P>0.05). The median times from onset to radiologic recovery in lung were 12 (10, 15) and 13 (12, 17) days, respectively (P>0.05). Conclusion(s): Low-to-moderate glucocorticoid treatment has no effect on the time of virus clearance in patients with different clinical types of COVID-19, and also no effect on accelerating radiologic recovery in lung, so it is not recommended.Copyright © 2020 by the Chinese Medical Association.

Effect of low-to-moderate dose glucocorticoids on viral clearance in COVID-19: a retrospective study.

Objective: To study the effect of low-to-moderate dose glucocorticoid therapy on viral clearance in patients with COVID-19. Methods: A total of 72 patients diagnosed with COVID-19 from January 19 to February 17, 2020 at the First Affiliated Hospital, Zhejiang University School of Medicine were recruited. All patients received oral arbidol and combination of lopinavir/ritonavir or darunavir/cobistitat for antiviral therapy, and symptomatic supportive care. Among them, 51 patients received methylprednisolone (0.75-1.50 mg.kg-1.d-1) (glucocorticoid treatment group), and 21 patients did not use glucocorticoid (control group). The time of virologic negative conversion in sputum and the time of radiologic recovery in lung since onset were compared between the two groups. The Kruskal-Wallis test or Fisher exact test was used to compare the difference between groups. Results: The median ages of the glucocorticoid group and the control group were 52 (45, 62) and 46 (32, 56) years (chi2=4.365, P<0.05). The clinical conditions at hospital admission were different between the two groups (P<0.01). The severe cases accounted for 52.0%, while moderate cases in the control group accounted for 71.4%. The median times from the onset to virologic negative conversion in the two groups were 15 (13, 20) and 14 (12, 20) days (P>0.05). The median times from onset to radiologic recovery were 13 (11, 15) and 13 (12, 17) days in the two groups (P>0.05). In moderate cases, the median times from the onset to virologic conversion in sputum were 13 (11, 18) days in the glucocorticoid group and 13 (12, 15) days in the control group (P>0.05). The median times from onset to radiologic recovery in lung were 12 (10, 15) and 13 (12, 17) days, respectively (P>0.05). Conclusion(s): Low-to-moderate glucocorticoid treatment has no effect on the time of virus clearance in patients with different clinical types of COVID-19, and also no effect on accelerating radiologic recovery in lung, so it is not recommended.Copyright © 2020 by the Chinese Medical Association.

Mucormycosis in patients with COVID-19 in Russia: the results of a prospective multi-center study.

We present the results of a prospective multicenter study of risk factors, etiology, clinical features, and treatment outcomes for mucormycosis in patients with COVID-19 (COVID-M) in the Russian Federation. The study included 60 adult patients with COVID-M. To analyze risk factors for COVID-M, we conducted a case-control study. The control group included 60 adult patients with COVID-19 without mucormycosis. To analyze the clinical manifestations of COVID-M, we created a control group of hematological patients with mucormycosis examined in 2011-2020. In patients with COVID-19, the risk of developing mucormycosis was significantly increased with diabetes mellitus (OR=49) and overweight (OR=4,75), as well as with the use of high (>=100 mg per day for prednisolone) doses of glucocorticosteroids (OR= 4,762), especially >=10 days (OR=25,4). The main localization of mucormycosis in patients with CO-VID-19 was the paranasal sinuses (95%) and the orbit (68%). Involvement of >=2 organs was identified in 70% of patients. The main causative agents of mucormycosis were Rhizopus arrhizus (43%) and unidentified mucormycetes (36%). 90-days overall survival of patients with mucormycosis and COVID-19 - 71%. The stay in the ICU (p=0,01), the use of mechanical ventilation (p=0,0481), the presence of CVC (p=0,049), CNS damage (p=0,016) and >= 2 organs (p=0,048) significantly worsened the prognosis of the disease. The best prognosis was in patients who received antifungal therapy (p=0,03875) and surgical treatment (p=0,046).Copyright © 2022 Authors. All rights reserved.

Mucormycosis in patients with COVID-19 in Russia: the results of a prospective multi-center study

We present the results of a prospective multicenter study of risk factors, etiology, clinical features, and treatment outcomes for mucormycosis in patients with COVID-19 (COVID-M) in the Russian Federation. The study included 60 adult patients with COVID-M. To analyze risk factors for COVID-M, we conducted a case-control study. The control group included 60 adult patients with COVID-19 without mucormycosis. To analyze the clinical manifestations of COVID-M, we created a control group of hematological patients with mucormycosis examined in 2011–2020. In patients with COVID-19, the risk of developing mucormycosis was significantly increased with diabetes mellitus (OR=49) and overweight (OR=4,75), as well as with the use of high (≥100 mg per day for prednisolone) doses of glucocorticosteroids (OR= 4,762), especially ≥10 days (OR=25,4). The main localization of mucormycosis in patients with CO-VID-19 was the paranasal sinuses (95%) and the orbit (68%). Involvement of ≥2 organs was identified in 70% of patients. The main causative agents of mucormycosis were Rhizopus arrhizus (43%) and unidentified mucormycetes (36%). 90-days overall survival of patients with mucormycosis and COVID-19 – 71%. The stay in the ICU (p=0,01), the use of mechanical ventilation (p=0,0481), the presence of CVC (p=0,049), CNS damage (p=0,016) and ≥ 2 organs (p=0,048) significantly worsened the prognosis of the disease. The best prognosis was in patients who received antifungal therapy (p=0,03875) and surgical treatment (p=0,046). © 2022 Authors. All rights reserved.

Mucormycosis in patients with COVID-19 in Russia: the results of a prospective multi-center study.

We present the results of a prospective multicenter study of risk factors, etiology, clinical features, and treatment outcomes for mucormycosis in patients with COVID-19 (COVID-M) in the Russian Federation. The study included 60 adult patients with COVID-M. To analyze risk factors for COVID-M, we conducted a case-control study. The control group included 60 adult patients with COVID-19 without mucormycosis. To analyze the clinical manifestations of COVID-M, we created a control group of hematological patients with mucormycosis examined in 2011-2020. In patients with COVID-19, the risk of developing mucormycosis was significantly increased with diabetes mellitus (OR=49) and overweight (OR=4,75), as well as with the use of high (>=100 mg per day for prednisolone) doses of glucocorticosteroids (OR= 4,762), especially >=10 days (OR=25,4). The main localization of mucormycosis in patients with CO-VID-19 was the paranasal sinuses (95%) and the orbit (68%). Involvement of >=2 organs was identified in 70% of patients. The main causative agents of mucormycosis were Rhizopus arrhizus (43%) and unidentified mucormycetes (36%). 90-days overall survival of patients with mucormycosis and COVID-19 - 71%. The stay in the ICU (p=0,01), the use of mechanical ventilation (p=0,0481), the presence of CVC (p=0,049), CNS damage (p=0,016) and >= 2 organs (p=0,048) significantly worsened the prognosis of the disease. The best prognosis was in patients who received antifungal therapy (p=0,03875) and surgical treatment (p=0,046).Copyright © 2022 Authors. All rights reserved.

Changes in Development Direction and Mode of Urban Agglomerations in the Pandemic Era: a Chinese Approach

During each pandemic in human history, cities have become the centers of the disasters that have unfolded. The main reason is that cities develop unevenly. Some favorable factors promoting city development are also important factors that facilitate the spread of viruses;the urbanization development path that tends toward polarized development greatly in-creases the risk of central cities becoming epicenters of disaster. This article will take the Wuhan urban agglomeration as an example to explore the reasons for weak points of urban agglomerations in the context of COVID-19, and will then examine their new develop-ment, new directions, new modes, and future. This has extremely important practical value and strategic significance for the high-quality development of China and for the future transformation of the world's urban civilization. © The Author(s).

Proactive anti-inflammatory therapy in the advanced stages of a new coronavirus infection. Main results of the inpatient phase of the COLORIT study (Colchicin vs. Ruxolitinib and secukinumab in an open, prospective, randomized trial in patients with novel coronavirus infection COVID-19).

Aim      To evaluate clinical efficacy of the proactive anti-inflammatory therapy in patients hospitalized for COVID-19 with pneumonia and a risk of "cytokine storm".Material and methods  The COLORIT study was a comparative study with randomization into 4 groups: colchicine (n=21) 1 mg for the first 3 days followed by 0.5 mg/day through day 12 or discharge from the hospital; secukinumab 300 mg/day, s.c., as a single dose (n=20); ruxolitinib 5 mg, twice a day (n=10); and a control group with no anti-inflammatory therapy (n=22). The effect was evaluated after 12±2 days of inpatient treatment or upon discharge, what comes first. For ethical reasons, completely randomized recruitment to the control group was not possible. Thus, for data analysis, 17 patients who did not receive any anti-inflammatory therapy for various reasons not related with inclusion into the study were added to the control group of 5 randomized patients. Inclusion criteria: presence of coronavirus pneumonia (positive PCR test for SARS-CoV-2 RNA or specific clinical presentation of pneumonia; IDC-10 codes U07.1 and U07.2); C-reactive protein (CRP) concentration >60 mg/l or its threefold increase from baseline; at least 2 of 4 symptoms (fever >37.5 °C, persistent cough, shortness of breath with inspiratory rate >20 per min or blood saturation with oxygen <94 % by the 7th-9th day of disease. The study primary endpoint was changes in COVID Clinical Condition Scale (CCS-COVID) score. The secondary endpoints were the dynamics of CRP and changes in the area of lung lesion according to data of computed tomography (CT) of the lungs from the date of randomization to 12±2 days.Results All three drugs significantly reduced inflammation, improved the clinical course of the disease, and decreased the disease severity as evaluated by the CCS score: in the ruxolitinib group, by 5.5 (p=0.004); in the secukinumab group, by 4 (p=0.096); in the colchicine group, by 4 (p=0.017), and in the control group, by 2 (р=0.329). In all three groups, the CCS-COVID score was 2-3 by the end of observation period, which corresponded to a mild process, while in the control group, the score was 7 (р=0.005). Time-related changes in CRP were significant in all three anti-inflammatory treatment groups with no statistical difference between the groups. By the end of the study, changes in CT of the lungs were nonsignificant.Conclusion      In severe СOVID-19 with a risk of "cytokine storm", the proactive therapy with ruxolitinib, colchicine, and secukinumab significantly reduces the inflammation severity, prevents the disease progression, and results in clinical improvement.

The Burden of Residual SymptOms That Complicate the Life of Patients Who Have Suffered a new Coronavirus Infection (THROW study).

Aim      To evaluate the prevalence of residual symptoms in patients hospitalized for novel coronavirus infection at 8 months after discharge and the severity of such symptoms depending on demographic characteristics, concurrent diseases, and specific features of the acute period of COVID-19.Material and methods  This study included the patients who were managed for novel coronavirus infection in a COVID-19 hospital and provided their consent to participate in the study (98 patients). At 8 months after discharge from the hospital, a structured telephone interview was performed.Results Only 40 % of patients treated for COVID-19 did not have any complaints at 8 months after discharge from the hospital. The most frequent complaints in the long term were fatigue (30.5 %), weakness (28.4 %), shortness of breath (23.2 %), arthralgia (22.1 %), myalgia (17.9 %), and anosmia (15.8 %). The background of chronic diseases and obesity, percentage of lung damage according to CT data, and the requirement for oxygen support during the acute period in our sample were not related with the presence of symptoms in the long term. The presence and severity of symptoms during the long term were not determined by the clinical condition, volume of lung damage, or requirement for oxygen support but were related with the gender and severity of inflammation upon admission.Conclusion      Independent predictors for persistence of symptoms in the patient sample with severe novel coronavirus infection during the long term included chest and joint pain during the stay in the hospital, female gender, and increased levels of C-reactive protein upon admission.

Volatility in US dairy futures markets

US dairy futures markets of Class III milk, butter, cheese, and dry whey exhibit unique volatility patterns under the Federal Milk Marketing Order pricing system. We find that dairy volatilities have a relatively low connectedness among themselves and the overall commodity market. We develop a price information uncertainty measure to investigate dairy markets' response to government-released information. Dairy futures markets respond to government-released information with increased trading activity. The price information uncertainty measure has a strong positive impact on price volatility across all dairy commodities. We provide evidence that the COVID-19 pandemic increases volatility in dairy commodities. The pandemic also significantly reduces the impact of information uncertainty on volatility. © 2022 Elsevier B.V.

Identifying Traffic Congestion Patterns of Urban Road Network Based on Traffic Performance Index

Urban congestion has become a global problem with urbanization and motorization. The analysis of time-varying traffic congestion patterns is necessary to formulate effective management strategies. The existing studies have focused on traffic flow patterns developed by the volume, speed and density of road sections in a limited district, while the long-time analysis of congestion patterns of the macro road network at the city level is inadequate. This paper aims to recognize traffic congestion patterns of the urban road network based on the traffic performance index (TPI) of 699 days in 2018, 2019 and 2021 in Beijing. The self-organizing maps (SOM) method improved by an automatic clustering number determination algorithm is proposed to cluster congestion patterns based on time-varying TPI. The traffic congestion of the macro road network is clustered into Mondays, Fridays, ordinary weekdays, congested weekdays, weekdays of winter and summer vacation, Saturdays, Sundays and festivals patterns. Patterns of Mondays and congested weekdays have a prominent morning peak, while patterns of Fridays, ordinary weekdays, and weekdays of winter and summer vacation have a prominent evening peak. Saturdays, Sundays and festivals are less congested than weekday patterns. It is verified that the SOM method proposed in this paper clusters traffic congestion into more detailed and accurate patterns, and it is applicable to TPI clustering in different years. The degree of congestion in 2021 increases by 7.15% in peak hours and decreases by 7.50% in off-peak hours compared with that in 2019 due to COVID-19. This method is helpful for traffic management in terms of making decisions according to different congestion patterns.

Prediction of the Epidemic Trend of Novel Coronavirus Pneumonia Based on SIR Model

This paper collects real-time epidemic data released by the World Health Organization and various Internet authorities, predict the development of the epidemic through the classical model (SIR model) in the field of communication disease, bring historical data into the model, verify the parameters of the model and establish a new model, compare multiple sets of data, obtain the system that is closest to the real data, and speculate on the development direction and turning point of the subsequent NEW CROWN epidemic. The use of scientific and technical means to reason and analyze the overall situation of the new crown epidemic situation provides a solid backing for the prevention and control of the epidemic. © 2022 IEEE.