Retraction Note: A new emergency response of spherical intelligent fuzzy decision process to diagnose of COVID19 (Soft Computing, (2023), 27, 3, (1809-1825), 10.1007/s00500-020-05287-8)

The Editor-in-Chief and the publisher have retracted this article. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised editorial handling and peer review process, inappropriate or irrelevant references or not being in scope of the journal or guest-edited issue. Based on the investigation's findings the Editor-in-Chief therefore no longer has confidence in the results and conclusions of this article. Author Shahzaib Ashraf disagrees with the retraction. Authors Saleem Abdullah and Alaa O. Almagrabi have not responded to correspondence regarding this retraction. © 2023, Springer-Verlag GmbH Germany, part of Springer Nature.

Worldwide poliomyelitis outbreaks: should mass gathering organizers be concerned?

The polio is the longest PHEIC and the continued occurrence of outbreaks of cVDPV would put further risks globally. The binary nature of PHEIC declarations would not support the continued polio PHEIC due to the requirement of tiered or graded strategies to combat such diseases.

Self-reported long COVID-19 symptoms are rare among vaccinated healthcare workers.

INTRODUCTION: COVID-19 pandemic adversely affected healthcare workers (HCWs). Here, we evaluate the occurence of long-COVID-19 symtoms among HCWs. METHODS: This is a questionnaire-based study of HCWs who had COVID-19 in two medical centers in Saudi Arabia and were mostly vaccinated. RESULTS: The study included 243 HCWs with a mean age (+ SD) of 36.1 (+ 7.6) years. Of them, 223 (91.8%) had three doses of COVID-19 vaccine, 12 (4.9%) had four doses, and 5 (2.1%) had two doses. The most common symptoms at the start of the illness were cough (180, 74.1%), shortness of breath (124, 51%), muscle ache (117, 48.1%), headache (113, 46.5%), sore throat (111, 45.7%), diarrhea (109, 44.9%) and loss of taste (108, 44.4%). Symptoms lasted for< one week in 117 (48.1%),> one week and< 1 month in 89 (36.6%),> 2 months and< 3 months in 9 (3.7%), and> 3 months in 15 (6.2%). The main symptoms present> 3 months were hair loss (8, 3.3%), cough (5, 2.1%), and diarrhea (5, 2.1%). A binomial regression analysis showed no relationship between persistence of symptoms for> 3 months and other demographic or clinical symptoms characteristics. CONCLUSION: The study showed a low rate of the occurence of long-COVID> 3 months during the Omicron-wave among mostly vaccinated HCWs with no significant comorbidities. Furhter studies are needed to examine the effect of different vaccines on long-COVID-19 among HCWs.

Artificial Intelligence Based COVID-19 Detection and Classification Model on Chest X-ray Images.

Diagnostic and predictive models of disease have been growing rapidly due to developments in the field of healthcare. Accurate and early diagnosis of COVID-19 is an underlying process for controlling the spread of this deadly disease and its death rates. The chest radiology (CT) scan is an effective device for the diagnosis and earlier management of COVID-19, meanwhile, the virus mainly targets the respiratory system. Chest X-ray (CXR) images are extremely helpful in the effective diagnosis of COVID-19 due to their rapid outcomes, cost-effectiveness, and availability. Although the radiological image-based diagnosis method seems faster and accomplishes a better recognition rate in the early phase of the epidemic, it requires healthcare experts to interpret the images. Thus, Artificial Intelligence (AI) technologies, such as the deep learning (DL) model, play an integral part in developing automated diagnosis process using CXR images. Therefore, this study designs a sine cosine optimization with DL-based disease detection and classification (SCODL-DDC) for COVID-19 on CXR images. The proposed SCODL-DDC technique examines the CXR images to identify and classify the occurrence of COVID-19. In particular, the SCODL-DDC technique uses the EfficientNet model for feature vector generation, and its hyperparameters can be adjusted by the SCO algorithm. Furthermore, the quantum neural network (QNN) model can be employed for an accurate COVID-19 classification process. Finally, the equilibrium optimizer (EO) is exploited for optimum parameter selection of the QNN model, showing the novelty of the work. The experimental results of the SCODL-DDC method exhibit the superior performance of the SCODL-DDC technique over other approaches.

Past Relational Experiences and Social Interaction: Direct, Moderated, and Mediated Associations Between Relational Difficulty, Communication, and Perception in Two Samples

This study examined the relationship between perceptions of relational history, namely, past relational challenges, and everyday social interaction experiences. In efforts to build upon and extend previous research, hypotheses directed toward replication and extension were tested in two experience sampling datasets (N = 120 and 220). Consistent support was found for the idea that people with a history of relational difficulties tend to perceive less interaction partner responsiveness, lower well-being, and higher stress during social interactions. Support was also found in a sample of adults for a multilevel mediation model whereby negative relations with others negatively predicted partner responsiveness through stress and partner liking. Results are interpreted based on affection-, appraisal-, and resource-based theories and potential differences in relational experiences at unique life stages and phases of the COVID-19 pandemic. [ FROM AUTHOR] Copyright of Communication Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Stereoselective and regioselective Heck arylation at C-17 exocyclic double bond of andrographolide to generate labdane-based lead molecule against acute lung injury

Andrographolide (AG-1) is identified as an attractive scaffold based on in silico/in vitro/in vivo (preclinical and clinical) studies against COVID-19 infection, for which hardly any effective drug is available to date. Due to complexity of its chemical structure, stereoselective and regioselective Heck arylation reactions at C-17 exocyclic double bond of AG-1 is a major challenge and we stepped forward to generate a small focused library of compounds. Among all the molecules, AG-12 and AG-13 were predicted to have better pharmacokinetic profiles than AG-1. Upon evaluation of in vivo efficacy of AG-12 and AG-13 in comparison to AG-1 using an LPS-induced acute lung injury model, AG-13 showed promising action towards reduction of the neutrophil count, minimization of oxidative stress, and inhibition of inflammatory cytokines. Further, lead optimization should be carried out towards developing potential natural product-driven therapeutics to combat acute respiratory distress syndrome (ARDS) situations during COVID-19. © 2023 Elsevier B.V.

A Systematic Review of Clinical Pharmacokinetics of Inhaled Antiviral.

Background and Objectives: The study of clinical pharmacokinetics of inhaled antivirals is particularly important as it helps one to understand the therapeutic efficacy of these drugs and how best to use them in the treatment of respiratory viral infections such as influenza and the current COVID-19 pandemic. The article presents a systematic review of the available pharmacokinetic data of inhaled antivirals in humans, which could be beneficial for clinicians in adjusting doses for diseased populations. Materials and Methods: This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. A comprehensive literature search was conducted using multiple databases, and studies were screened by two independent reviewers to assess their eligibility. Data were extracted from the eligible studies and assessed for quality using appropriate tools. Results: This systematic review evaluated the pharmacokinetic parameters of inhaled antiviral drugs. The review analyzed 17 studies, which included Zanamivir, Laninamivir, and Ribavirin with 901 participants, and found that the non-compartmental approach was used in most studies for the pharmacokinetic analysis. The outcomes of most studies were to assess clinical pharmacokinetic parameters such as the Cmax, AUC, and t1/2 of inhaled antivirals. Conclusions: Overall, the studies found that the inhaled antiviral drugs were well tolerated and exhibited favorable pharmacokinetic profiles. The review provides valuable information on the use of these drugs for the treatment of influenza and other viral respiratory infections.

IoT-Based Heart Monitoring System Implementation and Analysis

This paper presents an IoT-based heart monitoring system using 8266 NodeMCU. According to the Malaysian Department of Statistics, ischemic heart disease is the leading cause of death, accounting for 15.0% of the 109,164 medically certified deaths in 2019. The coronary heart is a vital organ that pumps oxygen and blood across the body. Meanwhile, if the heart is not getting sufficient oxygen, the patient will experience chest pain, typically on the left side of the body, which can be mistaken for a heart problem. During the Covid-19 pandemic, a patient cannot attend regular treatment at the hospital as it is operating at full capacity. During this phase, the hospital can only focus on the critical and high-risk patient. The proposed heart monitoring system monitors the patient by measuring the heart rate and oxygen level in the comforts of home. Therefore, the patient can provide his current health record for the doctor's evaluation. The idea behind this proposed system is to construct an IOT-based system that automatically monitors the health condition in terms of heartbeat and oxygen detection. The prototype provides data to the Blynk for the patient and the I-Heart web-based application for the medical practitioner. © 2022 IEEE.

A SYSTEMATIC REVIEW ON THE EFFECT OF ENVIRONMENTAL FACTORS ON COVID-19 CASES

A global pandemic known as COVID-19 now threatens public health systems worldwide. The COVID-19 virus is spread by many sources, including environmental factors. Infectious diseases are transmitted and are resistant to certain environmental factors, including temperature, humidity, wind speed and population density. Through preferred reporting items for systematic reviews and meta-analyses, a study on the effects of environmental factors on the spread of COVID-19 cases in Asia was carried out to provide evidence-based knowledge and serve as a basis for health care and preventative guidelines (PRISMA). Search databases like Web of Science (WoS), Scopus and PubMed were used to find the data. A total of 52 full-text papers, 1,780 s and 16 systematic review articles were examined. The results indicate a clear correlation between environmental factors, population density and the occurrence of COVID-19. These findings suggest that environmental factors may play a role in the distribution of COVID-19 in Asia © Penerbit UMT

A brief review on the medicinal uses of Cordyceps militaris

Introduction: Cordyceps, a popular Chinese medication, is made by drying caterpillar-borne Cordyceps fungus. The parasite needs an insect host or larvae host to survive. To strengthen those who were lacking in vitality, it was administered in tonic form. The biological effects of Cordyceps species are well documented. Its medicinal properties are because of the chemical constituents present in the mushroom namely cordycepin, cordymin, polysaccharides, glycoprotein, ergosterol, and other extracts. Material(s) and Method(s): Some of the biological activities of C.militaris are anti-cancer, anti-oxidant, anti-inflammatory, anti-aging, immunomodulatory, antimicrobials, immunosuppressive, hypolipidemic, hypoglycemic, neuroprotective, and fertility enhancer. Because of their bioactive compounds, edible fungus like C. militaris is a multifunctional food supplement. Many mushroom species can be grown on domestic refuse, popularizing the mushroom industry in sustainable economies worldwide. Conclusion(s): C. militaris extract can improve health when added to the diet. Further, the complexity of clinical investigations and the challenges of developing therapies using mushroom extracts are both exacerbated by the abundance of bioactive chemicals present in mushrooms. Cordycepin has the most therapeutic potential of all the bioactive compounds described in the studies. Recent studies indicate that cordycepin may be effective against COVID-19's SARS-CoV-2 strain. Therefore, this review lays the groundwork for clinical use and examines the research program for the near future.Copyright © 2023 The Author(s)

A Case of Periradicular Surgery: Apicoectomy and Obturation of the Apex

Introduction: The purpose of the current case is to give a detail description on an incidence of a traumatized upper left central incisor with symptomatic periapical periodontitis which was root treated. Descriptions: The apical portion of the tooth had a large apical lesion with external root resorption that end up with an open apex due to the loss of tooth cementum, dentine and adjacent hard tissue. The tooth was endodontically retreated, and the apical region was treated surgically with apical curettage and retrograde Mineral Trioxide Aggregate filling (MTA). Result(s): The affected tooth was considered successful both functionally and aesthetically during a 12-month follow-up. Conclusion(s): Apicoectomy and retrograde filling with MTA is a viable option in case of treating traumatized tooth with large peri-apical lesion and open apex.Copyright © 2023 Japan University of Health Sciences & Japan International Cultural Exchange Foundation.

Microbial Air Pollutant Control using Commercial UV-C Lamp for Preparing Re-opening Class Activities at Universitas Indonesia

Airborne microorganisms must be controlled, especially during the COVID-19 pandemic, to prevent infectious diseases. This research was conducted to prepare a clean room and eliminate infectious pathogens. This study studied a 36-watt UV C commercial lamp to examine its effectiveness in controlling airborne microorganisms in rooms at Universitas Indonesia. The germicide effect of lamp (100 mJ/cm2) predicted by the UV-C test card could be achieved at a distance of 2 to 3 meter after exposure for 60 minutes. UVC's effectiveness as a germicide was also tested on bacteria, yeast, and mold. No germicides were observed in A. parasiticus and C. lunata after being exposed to the UV-C light at 1 to 2 meters distance for 60 minutes. The germicides UV-C lamps were also applied in examined rooms. Active and passive sampling methods measured airborne microorganisms before and after the treatment of UV-C lamp. The lowest germicide effect of UV-C lamp was 37.66% in the collaboration laboratory, and the highest was 86.12% obtained in seminar room at Department of Biology. Many factors, such as the type of group of microorganisms, air circulation, and equipment in the room, influence the germicide effect of UV-C lamp. Based on existing microorganism populations, the examined indoor air has good quality under 1,000 CFU/m3 © IJASEIT is licensed under a Creative Commons Attribution-Share Alike 4.0 International License

Specialized pro-resolving lipid mediators regulate inflammatory macrophages: A paradigm shift from antibiotics to immunotherapy for mitigating COVID-19 pandemic.

The most severe clinical manifestations of the horrifying COVID-19 disease, that claimed millions of lives during the pandemic time, were Acute respiratory distress syndrome (ARDS), Coagulopathies, septic shock leading eventually to death. ARDS was a consequence of Cytokine storm. The viral SARS-COV2infection lead to avalanche of cytokines and eicosanoids causing "cytokine storm" and "eicosanoid storm." Cytokine storm is one of the macrophage-derived inflammatory responses triggered by binding of virus particles to ACE2 receptors of alveolar macrophages, arise mainly due to over production of various pro-inflammatory mediators like cytokines, e.g., interleukin (IL)-1, IL-2, and tumor necrosis factor (TNF)- α, causing pulmonary edema, acute respiratory distress, and multi-organ failure. Cytokine storm was regarded as the predictor of severity of the disease and was deemed one of the causes of the high mortality rates due to the COVID-19. The basis of cytokine storm is imbalanced switching between an inflammation increasing - pro-inflammatory (M1) and an inflammation regulating-anti-inflammatory (M2) forms of alveolar macrophages which further deteriorates if opportunistic secondary bacterial infections prevail in the lungs. Lack of sufficient knowledge regarding the virus and its influence on co-morbidities, clinical treatment of the diseases included exorbitant use of antibiotics to mitigate secondary bacterial infections, which led to the unwarranted development of multidrug resistance (MDR) among the population across the globe. Antimicrobial resistance (AMR) needs to be addressed from various perspectives as it may deprive future generations of the basic health immunity. Specialized pro-resolving mediators (SPMs) are generated from the stereoselective enzymatic conversions of essential fatty acids that serve as immune resolvents in controlling acute inflammatory responses. SPMs facilitate the clearance of injured tissue and cell debris, the removal of pathogens, and augment the concentration of anti-inflammatory lipid mediators. The SPMs, e.g., lipoxins, protectins, and resolvins have been implicated in exerting inhibitory influence on with cytokine storm. Experimental evidence suggests that SPMS lower antibiotic requirement. Therefore, in this review potential roles of SPMs in enhancing macrophage polarization, triggering immunological functions, hastening inflammation resolution, subsiding cytokine storm and decreasing antibiotic requirement that can reduce AMR load are discussed.

Use of Continuous Intravenous Anakinra Infusion in Multisystem Inflammatory Syndrome in Children.

Coronavirus disease (COVID-19) is an emergency pandemic with a high mortality rate worldwide. One of its complications in children is developing multisystemic inflammatory syndrome related to cytokine storm. Anakinra is a recombinant human interleukin-1 (IL-1) receptor antagonist used to suppress the exaggerated inflammatory response in such conditions, and it is potentially lifesaving in a cytokine storm. We present the case of a patient with critical COVID-19 associated with multisystem inflammatory syndrome in children (MIS-C) successfully treated with anakinra intravenous (IV) infusion.

Assessment of the levels of antispike SARS-CoV-2 IgG antibodies and their association with clinical characteristics in cohort of patients in Saudi Arabia.

Background: Coronavirus disease 2019 (COVID-19) has caused a global public health crisis. The disease is known to be caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, but the detailed characteristics of the immune response to this novel virus have not been fully elucidated yet. In this study, we aimed to determine the level of immunoglobulin G (IgG) antibodies and their correlation with clinical features at three time points postinfection in a group of patients in Saudi Arabia. Method: In this prospective observational study, we collected the demographic and clinical data from 43 polymerase chain reaction (PCR)-confirmed patients and measured the COVID-19 antispike IgG levels at three different visits. Result: The seroconversion rate after COVID-19 infection was 88.4% in the study participants, with no significant changes in the IgG levels through the three visits. The duration of shortness of breath had a significant positive correlation with the IgG level of the patients. Using the logistic regression model, participants having coughs were found to be 12.48 times more likely to develop positive IgG. The IgG levels were less in smokers than nonsmokers [Odds ratio = 6.42 (95% CI 2.11-19.48); P = 0.001]. Conclusion: Positive IgG levels have been developed in most COVID-19 patients and did not significantly change over 3 months following the diagnosis. The level of IgG antibodies was found to be significantly associated with the presence of cough, duration of shortness of breath, and the smoking habit of the patients. These findings have clinical and public health significance and need to be validated in larger studies in different populations.

Screening and identification of potential MERS-CoV papain-like protease (PLpro) inhibitors; Steady-state kinetic and Molecular dynamic studies.

MERS-CoV belongs to the coronavirus group. Recent years have seen a rash of coronavirus epidemics. In June 2012, MERS-CoV was discovered in the Kingdom of Saudi Arabia, with 2,591 MERSA cases confirmed by lab tests by the end of August 2022 and 894 deaths at a case-fatality ratio (CFR) of 34.5% documented worldwide. Saudi Arabia reported the majority of these cases, with 2,184 cases and 813 deaths (CFR: 37.2%), necessitating a thorough understanding of the molecular machinery of MERS-CoV. To develop antiviral medicines, illustrative investigation of the protein in coronavirus subunits are required to increase our understanding of the subject. In this study, recombinant expression and purification of MERS-CoV (PLpro), a primary goal for the development of 22 new inhibitors, were completed using a high throughput screening methodology that employed fragment-based libraries in conjunction with structure-based virtual screening. Compounds 2, 7, and 20, showed significant biological activity. Moreover, a docking analysis revealed that the three compounds had favorable binding mood and binding free energy. Molecular dynamic simulation demonstrated the stability of compound 2 (2-((Benzimidazol-2-yl) thio)-1-arylethan-1-ones) the strongest inhibitory activity against the PLpro enzyme. In addition, disubstitutions at the meta and para locations are the only substitutions that may boost the inhibitory action against PLpro. Compound 2 was chosen as a MERS-CoV PLpro inhibitor after passing absorption, distribution, metabolism, and excretion studies; however, further investigations are required.

The Outcome of COVID-19 Infection on Kidney Transplantation Recipients in Southern Saudi Arabia: Single-Center Experience.

BACKGROUND: To report the incidence, risk factors, and outcome of severe COVID-19 disease in kidney transplant recipients attending a Saudi hospital at a single center in the Kingdom of Saudi Arabia. METHODS: A retrospective chart-based cohort study involving all kidney transplant recipients tested for COVID-19 in the Armed Forces Hospital Southern Region, KSA. RESULTS: Of 532 kidney transplant recipients who reported to the center, from March 2020 to June 2022, 180 were tested for COVID-19. Of these recipients, 31 (17%) tested positive. Among the 31 positive recipients, 11 were treated at home, 15 were admitted to the noncritical isolation ward, and 5 were admitted to the intensive care unit (ICU). Older age (P = .0001), higher body mass index (P = .0001), and history of hypertension (P = .0023) were more frequent in the COVID-19-positive recipients. Admission to the ICU was more frequent in older recipients (P = .0322) with a history of ischemic heart disease (P = .06) and higher creatinine baseline (P = .08) presenting with dyspnea (P = .0174), and acute allograft dysfunction (P = .002). In the ICU group, 4 (80%) patients required hemodialysis, and 4 (80%) died. CONCLUSIONS: Kidney transplant recipients with COVID-19 could have a higher risk for developing acute kidney injury, dialysis, and mortality than the general population. ICU admission and renal replacement therapy were more evident in older recipients with a history of ischemic heart disease, presenting with shortness of breath (P = .017) and a higher serum creatinine baseline. Acute allograft dysfunction was the independent predictor of mortality among patients admitted to the ICU.

Vegetables and fruits retailers in two urban areas of Bangladesh: Disruption due to COVID- 19 and implications for NCDs.

Bangladesh is experiencing an increasing prevalence of diet-related non-communicable diseases (NCDs). Considering daily total requirement of 5 servings as minimum recommended amount, 95.7% of people do not consume adequate fruit or vegetables on an average day in the country. Imposition of lockdown during COVID-19 created disturbance in fresh fruits and vegetable production and their retailing. This incident can make these dietary products less affordable by stimulating price and trigger NCDs. However, little is known about the supply chain actors of healthy foods such as vegetables and fruits in urban areas, and how they were affected due to pandemic. Aiming toward the impact of COVID-19 on the business practices and outcomes for the vegetables and fruits retailers in Bangladesh, a survey of 1,319 retailers was conducted in two urban areas, namely Dhaka and Manikganj from September 2021 to October 2021. To comprehend the impact of COVID-19 on the profit margin of the retailers and on the percentage change in sales, a logistic and an Ordinary Least Squares (OLS) regression were estimated. Significant difference in the weekly business days and daily business operations was observed. The average daily sales were estimated to have a 42% reduction in comparison to pre-COVID level. The daily average profit margin on sales was reportedly reduced to 17% from an average level of 21% in the normal period. Nevertheless, this impact is estimated to be disproportionate to the product type and subject to business location. The probability of facing a reduction in profit margin is higher for the fruit sellers than the vegetable sellers. Contemplating the business location, the retailers in Manikganj (a small city) faced an average of 19 percentage points less reduction in their sales than those in Dhaka (a large city). Area-specific and product-specific intervention are required for minimizing the vulnerability of retailers of vegetables and fruits and ensuring smooth supply of fruits and vegetables and increasing their uptake to combat diet related NCD.

Knowledge, Attitude, and Acceptance of Sinopharm and AstraZeneca's COVID-19 Vaccines among Egyptian Population: A Cross-Sectional Study.

BACKGROUND: This study aimed to evaluate the Egyptian population's preference and awareness related to available COVID-19 vaccines and to determine different factors that can affect beliefs concerning these vaccines. METHODS: A cross-sectional web-based study was carried out among the general population in Egypt. Data collection was conducted via an online questionnaire. RESULTS: About 426 subjects participated in the survey. Vaccine preference is nearly equally even (50%) among all respondents. There was no significant difference in vaccine preference according to age, gender, residence, educational level, or social status. About 50% of public respondents mentioned that both AstraZeneca and Sinopharm vaccines do not offer protection against new variant COVID-19 strains. Healthcare workers are the lowest respondents to agree that vaccines offer protection against new COVID-19 variants (10.9%) compared to unemployed respondents (20.3%) and other professions (68.8%) with a statistically significant difference (p < 0.005). Safety of vaccine administration among children below 18 showed statistical differences for gender and educational level predictors. CONCLUSIONS: Most of the study population has satisfying knowledge about the COVID-19 vaccine. Continuous awareness campaigns must be carried out so that the people's background is updated with any new information that would help in raising the trust in vaccination.

Detection and Prevention COVID- 19 Patients Using IoT and Blockchain Technology

COVID-19 epidemic second wave is affecting the world severely. It is a gigantic challenge for governments of all countries to protect their citizens from this virus and put effected ones in quarantine centers so that these can’t cause of spreading Covid-19 virus any more. There is no trustworthy treatment of this disease till now (16 November 2020). Complete Lockdown is not solution for this pandemic because this can lead heavy loss of economy and can cause enhance in poverty and hunger in society. In this study we proposed a smart method of detection and prevention the people from COVID-19 with help of IoT and Blockchain technologies. Now a day’s sensor is a cheap technology and different devices can be thru sensors. Each person in COVID-19 suspected area has a smart corona belt in his wrest along with face mask. This belt consists of different hardware modules like sensors, tiny battery and transvers. Sensors collect the different symptoms of a person for COVID-19 then this information will be communicated to other entities like government database, quarantine center and rescue office. This corona belt can detect a person as safe, suspected, high Suspected and positive. A person is safe if he has no COVID-19 symptoms and also not met someone having COVID-19 positive. If someone has COVID-19 symptoms then he is suspected case and if someone has COVID-19 symptoms and also met with COVID-19 positive he will be high Suspected case. All smart corona belts communicate with cellular phone running COVID-19 application for processing and sending messages to government database, corona centre and rescue centers for different actions. In this proposed solution three layered architecture is used to enhance the flexibility and effectiveness of system. The whole process is enabled by IoT, fog and cloud technologies. All information is stored using blockchain for the sake of data privacy, Integrity and security. © 2022, Springer Nature Switzerland AG.