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1.
Environ Sci Technol ; 56(14): 9988-9998, 2022 07 19.
Article in English | MEDLINE | ID: covidwho-1967575

ABSTRACT

Nitrogen dioxide (NO2) at the ground level poses a serious threat to environmental quality and public health. This study developed a novel, artificial intelligence approach by integrating spatiotemporally weighted information into the missing extra-trees and deep forest models to first fill the satellite data gaps and increase data availability by 49% and then derive daily 1 km surface NO2 concentrations over mainland China with full spatial coverage (100%) for the period 2019-2020 by combining surface NO2 measurements, satellite tropospheric NO2 columns derived from TROPOMI and OMI, atmospheric reanalysis, and model simulations. Our daily surface NO2 estimates have an average out-of-sample (out-of-city) cross-validation coefficient of determination of 0.93 (0.71) and root-mean-square error of 4.89 (9.95) µg/m3. The daily seamless high-resolution and high-quality dataset "ChinaHighNO2" allows us to examine spatial patterns at fine scales such as the urban-rural contrast. We observed systematic large differences between urban and rural areas (28% on average) in surface NO2, especially in provincial capitals. Strong holiday effects were found, with average declines of 22 and 14% during the Spring Festival and the National Day in China, respectively. Unlike North America and Europe, there is little difference between weekdays and weekends (within ±1 µg/m3). During the COVID-19 pandemic, surface NO2 concentrations decreased considerably and then gradually returned to normal levels around the 72nd day after the Lunar New Year in China, which is about 3 weeks longer than the tropospheric NO2 column, implying that the former can better represent the changes in NOx emissions.


Subject(s)
Air Pollutants , Air Pollution , COVID-19 , Air Pollutants/analysis , Air Pollution/analysis , Artificial Intelligence , China , Environmental Monitoring , Humans , Nitrogen Dioxide/analysis , Pandemics
2.
J Interprof Educ Pract ; 29: 100540, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-1967226

ABSTRACT

We developed an online interprofessional COVID-19 Vaccine and Pandemic Planning course at the height of the pandemic to prepare health science students for future vaccine delivery. Faculty from nursing, pharmacy, medical, and dentistry developed a six-week online co-curricular interprofessional education activity open to all health science students across seven schools on three campuses within the same University system. Total enrollment included 303, with 228 completing the course from 16 programs. The majority of students were from the Doctorate in Dental Surgery (DDS) program (26.2%) and the Midwestern urban campus (90.3%). Successful rapid course development and implementation was attributed to several factors. The broad range of students across health science programs and differing years in respective programs provides insight to plan future co-curricular activities. The rapid development of a system-wide health science IPE course has implications for continuously changing professional health education needs.

4.
World Neurosurg ; 2022 Aug 01.
Article in English | MEDLINE | ID: covidwho-1967220

ABSTRACT

OBJECTIVE: To explore the worldwide impact of a virtual Neurosurgery-Neuroscience Lecture Series on optimizing neurosurgical education with tele-teaching. METHODS: A retrospective analysis was performed from our Zoom database to collect data from October 15, 2020, to December 14, 2020, and from September 27, 2021, to December 13, 2021. A comparative analysis of participants in the two different timeframes was performed to investigate the impact of tele-teaching on neurosurgical education worldwide. To evaluate participant satisfaction, the yearly Continuing Medical Education reports of 2020-2021 were analyzed. Data related to the distribution of lectures by subspecialties were also described. RESULTS: Among the 11 lectures of the first period, a total of 257 participants from 17 countries in 4 different continents were recorded, with a mean of 64 (SD=9,30) participants for each meeting; 342 attendees participated from 19 countries in 5 continents over the 11 lectures of the second part, with an average of 82,8 (SD=14,04) attendees.; a statistically significant increase in participation between the two periods was identified (p<0.001) A total of 19 (2020) and 21 (2021) participants submitted the Continuing Medical Education yearly survey. More than 86,4% of overall responses considered the lectures "excellent. Main topics reported during lectures in 2020-2021 were related to brain tumors (33,7%) and education (22,1%). CONCLUSIONS: The Covid-19 pandemic has increased the need to introduce new educational approaches for teaching novel ways to optimize patient care. Our multidisciplinary web-based virtual lecture series could represent an innovative tele-teaching platform in neurosurgical training.

5.
Vaccine ; 2022 Aug 03.
Article in English | MEDLINE | ID: covidwho-1967210

ABSTRACT

X-linked agammaglobulinemia (XLA) is an inborn error of immunity characterized by insufficient production of immunoglobulins and lack of measurable antibody response to vaccines. The rise of novel infections limits the protective effect of immunoglobulin replacement in immunodeficient patients though. While XLA patients are not expected to mount an antibody response to COVID-19 vaccination, it has been demonstrated that XLA patients can mount a T-cell response to COVID-19 vaccines, similar to the influenza vaccine. We present three patients with XLA who received an mRNA COVID-19 vaccine. One patient demonstrated positive antibody response. Many XLA patients do not receive routine vaccinations due to ongoing immunoglobulin replacement therapy and lack of native antibody production, but in addition to T-cell response to vaccination, select XLA patients may mount a positive antibody response. Therefore, COVID-19 vaccination should be encouraged for all XLA patients.

6.
Vaccine ; 2022 Jul 28.
Article in English | MEDLINE | ID: covidwho-1967206

ABSTRACT

BACKGROUND: COVID-19 vaccinations applied in pharmacies can facilitate accessibility and potentially increase the vaccination rate but remain controversial in many countries. This study aimed to explore the patients' motivation to receive their COVID-19 vaccination in a pharmacy and examine patient and provider satisfaction with this novel service. METHODS: The study was designed as an explorative cross-sectional multicenter in-house quantitative survey and was conducted during the first weeks of COVID-19 vaccinations in German pharmacies from February to April 2022. The survey consisted of a paper-based questionnaire with scaling questions, multiple choice questions and open questions. Patients were recruited consecutively before their vaccination and completed the survey directly after the service. Vaccinating pharmacists were also invited to answer a questionnaire on their experiences, motivation and expectations. RESULTS: A total of 427 questionnaires out of 11 pharmacies were be included. The overall patient satisfaction with vaccinations in pharmacies was rated with the highest remarks by 91.5% of the participants, another 7.8% were fairly satisfied. Patient satisfaction with scheduling, waiting time, information, hygiene, vaccination technique and a feeling of safety was very high (96.5-97.9%). Patients' motivation on COVID-19 vaccination was to prevent severe COVID-19 symptoms (88.9%) and to protect others (72.3%). Easy accessibility, low barriers and proximity were other reasons for utilizing this service, mentioned by 61.8% of the patients. Pharmacists were highly motivated and found the task meaningful but experienced considerable personnel shortage. General practitioners rather expressed relief on their workload. CONCLUSIONS: Data of this study strongly supports to include pharmacies as additional providers of COVID-19 vaccinations. Patients stated marked satisfaction with this setting and expressed a feeling of safety and trust. Whereas most patients may have utilized the service for convenience, easy accessibility and low barriers were appreciated and can potentially contribute to higher vaccination rates.

7.
Transp Policy (Oxf) ; 2022 Aug 02.
Article in English | MEDLINE | ID: covidwho-1967186

ABSTRACT

The spread of the COVID-19 pandemic has caused severe damage to the Chinese cruise market since 2020. It is crucial for the local government to reformulate the subsidy policy to respond to the changing environment. We propose a cruise supply chain system to investigate the choice of subsidy recipients and the setting of optimal subsidy levels with a budget-constrained government during the access restriction period and post-epidemic period. We find that in both periods, as long as the subsidy achieves the optimal level, either the cruise lines, the travel agency, or the passengers as recipients of the subsidy policy can maximize the market demand and recover the cruise market after the COVID-19 outbreak. However, as the budget increases, subsidizing passengers can improve the "low price dilemma" of the Chinese cruise market. Compared with the access restriction period, the local government should adjust the subsidy level in the post-epidemic period. Interestingly, the subsidy policy does not always positively impact the international cruise line's profit in the post-epidemic period.

8.
Technol Forecast Soc Change ; 183: 121911, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1967167

ABSTRACT

Deep learning methods have become the state of the art for spatio-temporal predictive analysis in a wide range of fields, including environmental management, public health, urban planning, pollution monitoring, and so on. Despite the fact that a variety of powerful deep learning-based models can address various problem-specific issues in different research domain, it has been found that no single optimal model can outperform everywhere. Now, in the last two years, various deep learning-based studies have provided a variety of best-performing techniques for predicting COVID-19 health outcomes. In this context, this study attempts to perform a case study that investigates the spatio-temporal variation in the performance of deep-learning-based methods for predicting COVID-19 health outcomes in India. Various widely applied deep learning models namely CNN (convolutional neural network), RNN (recurrent neural network), Vanilla LSTM (long short-term memory), LSTM Autoencoder, and Bidirectional LSTM are considered to investigate their spatio-temporal performance variation. The effectiveness of the models is assessed using various metrics based on COVID-19 mortality time-series from 36 states and union territories of India.

9.
SSM Qual Res Health ; : 100147, 2022 Aug 02.
Article in English | MEDLINE | ID: covidwho-1967155

ABSTRACT

Early in the COVID-19 pandemic restricted family presence in hospitals was a widespread public health intervention to preserve critical resources and mitigate the virus's spread. In this study, we explore the experiences of surgical care providers and family members of hospitalized surgical patients during the period of highly restricted visiting (March 2020 to April 2021) in a large Canadian academic hospital. Thirty-four interviews were completed with hospital providers, family members and members of the hospital's visitor task force. To understand hospital providers' experiences, we highlight the ethical tensions produced by the biomedical and public health ethics frameworks that converged during COVID-19 in hospital providers' bedside practice. Providers grappled with mixed feelings in support of and against restricted visiting, while simultaneously experiencing gaps in resources and care and acting as patient gatekeepers. To understand family members' experiences of communication and care, we use the theory of institutional betrayal to interpret the negative impacts of episodic and systemic communication failures during restricted visiting. Family members of the most vulnerable patients (and patients) experienced short- and long-term effects including anxiety, fear, and refusal of further care. Our analysis draws attention to the complex ways that hospital care providers and families of hospitalized surgical patients sought to establish and reconfigure how trust and patient-centeredness could be achieved under these unprecedented conditions. Practical learnings from this study suggest that if family presence in hospitals must be limited in the future, dedicated personnel for communication and emotional support for patients, families and staff must be prioritized.

10.
SSM Qual Res Health ; : 100140, 2022 Jul 30.
Article in English | MEDLINE | ID: covidwho-1967154

ABSTRACT

Antigen-based rapid diagnostic tests (RDTs) for SARS-CoV-2 have good reliability and have been repeatedly implemented as part of pandemic response policies, especially for screening in high-risk settings (e.g., hospitals and care homes) where fast recognition of an infection is essential, but evidence from actual implementation efforts is lacking. We conducted a qualitative study at a large tertiary care hospital in Germany to identify step-by-step processes when implementing RDTs for the screening of incoming patients, as well as stakeholders' implementation experiences. We relied on 30 in-depth interviews with hospital staff (members of the regulatory body, department heads, staff working on the wards, staff training providers on how to perform RDTs, and providers performing RDTs as part of the screening) and patients being screened with RDTs. Despite some initial reservations, RDTs were rapidly accepted and adopted as the best available tool for accessible and reliable screening. Decentralized implementation efforts resulted in different procedures being operationalized across departments. Procedures were continuously refined based on initial experiences (e.g., infrastructural or scheduling constraints), pandemic dynamics (growing infection rates), and changing regulations (e.g., screening of all external personnel). To reduce interdepartmental tension, stakeholders recommended high-level, consistently communicated and enforced regulations. Despite challenges, RDT-based screening for all incoming patients was observed to be feasible and acceptable among implementers and patients, and merits continued consideration in the context of rising infections and stagnating vaccination rates.

11.
Sens Actuators B Chem ; : 132445, 2022 Jul 29.
Article in English | MEDLINE | ID: covidwho-1967138

ABSTRACT

With the frequent detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in dwellings and wastewater, the risk of transmission of environmental contaminants is of great concern. Fast, simple and sensitive sensors are essential for timely detecting infection and controlling transmission through environment fomites. Herein, we developed a Surface Enhanced Raman Scattering (SERS) aptasensor, which can realize ultrasensitive and rapid assay of SARS-CoV-2 viral particles. In this strategy, we designed a novel locking amplifier which is activated only in the presence of virus by aptamer recognition. The reaction process was carried out though one-pot method at 37°C, which can save time and resources. In addition, magnetic beads used in reaction system can simplify operation, as well as provide ideas for developing biosensing robots via magnetic field. This SERS aptasensor can detect SARS-CoV-2 virus with a LOD of 260 TU/µL within 40 min in the linear range of 625-10000 TU/µL. Therefore, this convenience, speediness, sensitivity, and selectivity of detection has great prospects in analyzing SARS-CoV-2 viral particles or other viruses in environment as well as monitoring of environmental virus sources.

12.
Sens Int ; : 100197, 2022 Jul 30.
Article in English | MEDLINE | ID: covidwho-1967113

ABSTRACT

Covid-19 is a dreadful pandemic of the 21st century that has created fear among people, affected the whole world, and taken thousands of lives. It infects the respiratory system and causes flu-type symptoms. According to the WHO reports, 2,082,745 deaths and 96,267,473 confirmed cases were perceived all around the globe till 22 January 2021. The significant roots of transmission are inhalation and direct contact with the infected surface. Its incubation period is 2-14 days and remains asymptomatic in most people. However, no treatment and vaccine are available for the people, so preventive measures like social distancing, wearing personal protective equipment (PPE), and frequent hand-washing are the practical and only options for cure. It has affected every sector of the world, whether it is trade or health all around the world. There is high demand for diagnostic tools as high-scale and expeditious testing is crucial for controlling disease spread; thus, detection methods play an essential role. Like flu, Covid-19 is also detected through RT-PCR, as the World Health Organization (WHO) suggested, but it is time taking and expensive method that many countries cannot afford. A vaccine is a crucial aspect of eradicating disease, and for SARS-CoV-2), plasma therapy and antibiotics therapy are used in the early spreading phase. The later stage involves forming a vaccine based on spike protein, N-protein, and whole-viral antigen that effectively immunizes the population worldwide until herd immunity can be achieved. In this review, we will discuss all possible and developed techniques for identifying SARS-CoV-2 and make a comparison of their specificity, selectivity, and cost; thus, we choose an appropriate method for fast, reliable, and pocket-friendly detection.

13.
Socioecon Plann Sci ; : 101387, 2022 Jul 31.
Article in English | MEDLINE | ID: covidwho-1967111

ABSTRACT

This paper uses Value-Based Data Envelopment Analysis (VBDEA), to assess the impact of the COVID-19 pandemic on the efficiency of 37 state-owned enterprises (SOE) hospitals by employing data publicly available from the Portuguese Health Service database between January and November 2019 and 2020, respectively. Furthermore, a productivity index (specifically adjusted to the VBDEA approach) is also used that allows identifying which factors are behind the relative efficiency changes of these hospitals. The factors considered to perform the efficiency assessment of the Portuguese SOE hospitals include labour, capacity, and activity-related indicators. Out of the 37 SOE hospitals, 21 and 17 were efficient in 2019 and 2020, respectively.

14.
Saudi Dent J ; 2022 Jul 27.
Article in English | MEDLINE | ID: covidwho-1967109

ABSTRACT

Introduction: Periodontitis is a chronic inflammatory disease caused by biofilm accumulation resulting in loss of periodontal attachment which could be linked to systemic implications. Coronavirus disease of 2019 (COVID-19) is a disease caused by SARS-CoV-2 that triggers damage to the lungs and other organs. COVID-19 and periodontitis share similar risk factors such as smoking, obesity, old age, and diabetes mellitus. Studies noted that periodontitis along with some systemic diseases has increased mortality. Thus, this study aims to examine the association of periodontitis with COVID-19 outcomes. Methods: This observational study included periodontitis group and non-periodontitis group for COVID-19 outcome assessment. Inclusion criteria were applied to select adults (≥18 years old) who showed at least one dental visit, and were isolated or admitted due to a COVID-19 complication (i.e. in-ward, ICU, or death). Exclusion criteria were patients with no active dental records. The periodontal status was examined from posterior bitewings and panoramic radiographs. The primary outcome assessed was COVID-19 complications versus no admission. Results and discussion: This study was the first of its kind as a retrospective cohort study to assess the association between periodontitis and COVID-19 severity in Riyadh, Saudi Arabia. Our findings revealed that periodontitis is statistically associated with COVID-19 severity. Periodontitis patients were three times more likely to have COVID-19 complications (p = 0.025). Diabetes (p = 0.004) and hypertension (p = 0.016) patients were 3.5 times more likely to have COVID-19 complications. Conclusion: Understanding the potential association between periodontitis and COVID-19 through systemic inflammation might be a pathway to achieve high quality medical care.

15.
Sci Total Environ ; : 157740, 2022 Jul 30.
Article in English | MEDLINE | ID: covidwho-1967106

ABSTRACT

Throughout the COVID-19 pandemic, new variants have continuously emerged and spread in populations. Among these, variants of concern (VOC) have been the main culprits of successive epidemic waves, due to their transmissibility, pathogenicity or ability to escape the immune response. Quantification of the SARS-CoV-2 genomes in raw wastewater is a reliable approach well-described and widely deployed worldwide to monitor the spread of SARS-CoV-2 in human populations connected to sewage systems. Discrimination of VOCs in wastewater is also a major issue and can be achieved by genome sequencing or by detection of specific mutations suggesting the presence of VOCs. This study aimed to date the emergence of these VOCs (from Alpha to Omicron BA.2) by monitoring wastewater from the greater Paris area, France, but also to model the propagation dynamics of these VOCs and to characterize the replacement kinetics of the prevalent populations. These dynamics were compared to various individual-centered public health data, such as regional incidence and the proportions of VOCs identified by sequencing of strains isolated from patient. The viral dynamics in wastewater highlighted the impact of the vaccination strategy on the viral circulation within human populations but also suggested its potential effect on the selection of variants most likely to be propagated in immunized populations. Normalization of concentrations to capture population movements appeared statistically more reliable using variations in local drinking water consumption rather than using PMMoV concentrations because PMMoV fecal shedding was subject to variability and was not sufficiently relevant in this study. The dynamics of viral spread was observed earlier (about 13 days on the wave related to Omicron VOC) in raw wastewater than the regional incidence alerting to a possible risk of decorrelation between incidence and actual virus circulation probably resulting from a lower severity of infection in vaccinated populations.

16.
Sci Total Environ ; : 157672, 2022 Aug 02.
Article in English | MEDLINE | ID: covidwho-1967104

ABSTRACT

The coronavirus pandemic (Covid-19) has influenced resource use and how people interact with their environment, with changing priorities and competing public health factors affecting pro-environmental behaviours at individual, societal, business and political levels. We used data from an online plastic footprint calculator to explore temporal changes, purchasing patterns and consumer behaviours around on-the-go plastic use during the pandemic. We hypothesised that 1) people's plastic use when on-the-go would change in response to the pandemic and related government restrictions and; 2) single-use plastic use on-the-go would decrease during lockdown periods due to restrictions against leaving home. The calculator received 1937 responses, with 13,544 plastic items recorded. Most used were food wrappers (54 % of all items), takeaway containers (12 %) and bottles (9 %). Six out of seven items showed increased use during lockdowns, in-line with our first hypothesis, but not the second. Three times more bottles were used, food wrapper consumption almost doubled, and takeaway container use more than doubled. Increased container use occurred alongside increased takeaway meal consumption during lockdowns. Patterns were similar between different periods of lockdown, with no significant differences in the number used of any items, or percentage of respondents using them. Results indicate that during lockdown, people found it harder to avoid single-use plastic while on-the-go, supporting evidence from other studies that plastic use can be driven by perceptions of hygiene benefits and lack of "safe" alternatives. Our results indicate opportunities to reduce single-use plastic consumption and we provide examples of successful implementation. Our findings evidence that, when properly applied, government-led guidance can effectively support consumer choices for reduced plastic use, encourage use of reusables, increase provision of alternatives, and dispel hygiene myths. The sudden increase in plastic waste due to the Covid-19 pandemic amplifies the need to substantiate plastic reduction policy promises without further delay.

17.
Sci Total Environ ; : 157546, 2022 Jul 29.
Article in English | MEDLINE | ID: covidwho-1967102

ABSTRACT

Although SARS-CoV-2 can cause severe illness and death, a percentage of the infected population is asymptomatic. This, along with other factors, such as insufficient diagnostic testing and underreporting due to self-testing, contributes to the silent transmission of SARS-CoV-2 and highlights the importance of implementing additional surveillance tools. The fecal shedding of the virus from infected individuals enables its detection in community wastewater, and this has become a valuable public health tool worldwide as it allows the monitoring of the disease on a populational scale. Here, we monitored the presence of SARS-CoV-2 and its dynamic genomic changes in wastewater sampled from two metropolitan areas in Arkansas during major surges of COVID-19 cases and assessed how the viral titers in these samples related to the clinical case counts between late April 2020 and January 2022. The levels of SARS-CoV-2 RNA were quantified by reverse-transcription quantitative polymerase chain reaction (RT-qPCR) using a set of TaqMan assays targeting three different viral genes (encoding ORF1ab polyprotein, surface glycoprotein, and nucleocapsid phosphoprotein). An allele-specific RT-qPCR approach was used to screen the samples for SARS-CoV-2 mutations. The identity and genetic diversity of the virus were further investigated through amplicon-based RNA sequencing, and SARS-CoV-2 variants of concern were detected in wastewater samples throughout the duration of this study. Our data show how changes in the virus genome can affect the sensitivity of specific RT-qPCR assays used in COVID-19 testing with the surge of new variants. A significant association was observed between viral titers in wastewater and recorded number of COVID-19 cases in the areas studied, except when assays failed to detect targets due to the presence of particular variants. These findings support the use of wastewater surveillance as a reliable complementary tool for monitoring SARS-CoV-2 and its genetic variants at the community level.

18.
Sci Afr ; 17: e01300, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-1967098

ABSTRACT

This paper presents the first comparative study of emerging stock markets' response to the COVID-19 pandemic with evidence from Ghana and Botswana. Using daily time-series data from March 1, 2020, to September 30, 2021, the study estimates parametric, semi-parametric and non-parametric models, and provides evidence to support the negative effects of the COVID-19 pandemic (i.e., the total number of reported COVID-19 cases and deaths) on the stock market performances of Ghana and Botswana. Interestingly, the study shows that the impact of the pandemic on Ghana's stock market is quantitatively greater than the stock market of Botswana. The study calls for fiscal and monetary policies to help firms on the stock market to survive the shock. Going forward, measures aimed at building a robust stock market to withstand such external shocks are critical.

19.
Rev Mal Respir ; 2022 Jul 15.
Article in French | MEDLINE | ID: covidwho-1967088

ABSTRACT

INTRODUCTION: Immune checkpoint inhibitors have revolutionized the management of many cancers and achieved efficacy and durable response for some patients, including those with advanced cancers. However, immunotherapy is associated with side effects caused by the infiltration of immune cells into normal tissues, which can lead to disproportionate dysimmune reactions. While mostly of moderate intensity, these side effects can affect any organ, including the lung, the site of occasionally life-threatening interstitial lung disease. Their presentation can be similar to that of infectious pneumonia (COVID-19). OBSERVATIONS: We report the cases of 3 patients who presented between March and May 2020 with severe pulmonary toxicities secondary to immunotherapy, which led to with an initial hypothesis of SARS-CoV-2 pneumonia. After extensive investigations, the diagnosis of pulmonary toxicity to immunotherapy was given, and the clinical and radiological course following the initiation of corticosteroid therapy was favorable. CONCLUSION: Pulmonary toxicity secondary to immunotherapy remains a rare but potentially life-threatening side effect. The diagnostic approach requires the elimination of several differential diagnoses (infectious process, tumor progression, other etiologies of interstitial lung disease). This adverse event is reversible and evolution after initiation of corticosteroid therapy is usually favorable.

20.
Results Phys ; 40: 105855, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-1967085

ABSTRACT

Corona virus disease 2019 (COVID-19) is an infectious disease and has spread over more than 200 countries since its outbreak in December 2019. This pandemic has posed the greatest threat to global public health and seems to have changing characteristics with altering variants, hence various epidemiological and statistical models are getting developed to predict the infection spread, mortality rate and calibrating various impacting factors. But the aysmptomatic patient counts and demographical factors needs to be considered in model evaluation. Here we have proposed a new seven compartmental model, Susceptible- Exposed- Infected-Asymptomatic-Quarantined-Fatal-Recovered (SEIAQFR) which is based on classical Susceptible-Infected-Recovered (SIR) model dynamic of infectious disease, and considered factors like asymptomatic transmission and quarantine of patients. We have taken UK, US and India as a case study for model evaluation purpose. In our analysis, it is found that the Reproductive Rate ( R 0 ) of the disease is dynamic over a long period and provides better results in model performance ( > 0 . 98 R-square score) when model is fitted across smaller time period. On an average 40 % - 50 % cases are asymptomatic and have contributed to model accuracy. The model is employed to show accuracy in correspondence with different geographic data in both wave of disease spread. Different disease spreading factors like infection rate, recovery rate and mortality rate are well analyzed with best fit of real world data. Performance evaluation of this model has achieved good R-Square score which is 0 . 95 - 0 . 99 for infection prediction and 0 . 90 - 0 . 99 for death prediction and an average 1 % - 5 % MAPE in different wave of the disease in UK, US and India.

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