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  1. Article ; Online: What does COVID-19 testing results really say? The real statistics concealed behind the accessible data.

    Rashki, Asma / Hoseinpour Dehkordi, Amirhoshang / Nemati, Reza / Tavousi, Pouya

    Journal of medical virology

    2021  Volume 93, Issue 10, Page(s) 5977–5987

    Abstract: Accurate and comprehensive testing is crucial for practitioners to portray the pandemic. Without testing there is no data; yet, the exact number of infected people cannot be determined due to the lack of comprehensive testing. The number of seropositive ... ...

    Abstract Accurate and comprehensive testing is crucial for practitioners to portray the pandemic. Without testing there is no data; yet, the exact number of infected people cannot be determined due to the lack of comprehensive testing. The number of seropositive for SARS-CoV-2 infection is obviously relative to the extent of testing. However, the true number of infections might be still far higher than the reported values. To compare the countries based on the number of seropositive for SARS-CoV-2 infection is misleading, as there may not be enough tests being carried out to properly monitor the outbreak. In this paper, we closely look through the COVID-19 testing results. Herein, we try to draw conclusions based on the reported data: first, the presence of a possible relationship between COVID-19 transition and patients' age will be assessed. Then, the COVID-19 case fatality rate (CFR) is compared with the age-demographic data for different countries. Based on the results, a method for estimating a lower bound (minimum) for the number of actual positive cases will be developed and validated. Results of this study have shown that CFR is a metric reflecting the spread of the virus, but is a factor of the extent of testing and does not necessarily show the real size of the outbreak. Moreover, no large difference in susceptibility by age has been found. The results suggest the similarity between the age distribution of COVID-19 and the population age-demographic is improving over the course of the pandemic. In addition, countries with lower CFRs have a more similar COVID-19 age distribution, which is a result of more comprehensive testing. Finally, a method for estimation of the real number of infected people based on the age distributions, reported CFRs, and the extent of testing will be developed and validated.
    MeSH term(s) Adolescent ; Adult ; Age Distribution ; Aged ; Aged, 80 and over ; COVID-19/diagnosis ; COVID-19/mortality ; COVID-19 Testing/statistics & numerical data ; Child ; Child, Preschool ; Humans ; Infant ; Infant, Newborn ; Middle Aged ; Mortality ; Pandemics/statistics & numerical data ; SARS-CoV-2 ; Young Adult
    Language English
    Publishing date 2021-07-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.27173
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A deeper look at COVID-19 CFR: health care impact and roots of discrepancy

    Hoseinpour Dehkordi, Amirhoshang / Nemati, Reza / Tavousi, Pouya

    medRxiv

    Abstract: Intensive care capacity and proper testing play a paramount role in the COVID-19 Case Fatality Rate (CFR). Nevertheless, the real impact of such important measures has not been appreciated due to the lack of proper metrics. In this work, we have proposed ...

    Abstract Intensive care capacity and proper testing play a paramount role in the COVID-19 Case Fatality Rate (CFR). Nevertheless, the real impact of such important measures has not been appreciated due to the lack of proper metrics. In this work, we have proposed a method for estimating a lower bound for the number of positive cases by using the reported data on the oldest age group and the regions9 population distributions. The proposed estimation method improved the expected similarity between the age-distribution of positive cases and regions9 population. Further, we have provided a quantitative measure for the impact of intensive care on the critical cases by comparing the CFR among those who did and did not receive intensive care. Our findings showed that the chance of living among non-ICU receivers is less than half of ICU receivers (~24% vs ~60%).
    Keywords covid19
    Language English
    Publishing date 2020-04-30
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.04.22.20071498
    Database COVID19

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  3. Book ; Online: Linear Temporal Public Announcement Logic

    Dehkordi, Amirhoshang Hoseinpour / Alizadeh, Majid / Movaghar, Ali

    a new perspective for reasoning about the knowledge of multi-classifiers

    2020  

    Abstract: In this note, a formal transition system model called LTPAL to extract knowledge in a classification process is suggested. The model combines the Public Announcement Logic (PAL) and the Linear Temporal Logic (LTL). In the model, first, we consider ... ...

    Abstract In this note, a formal transition system model called LTPAL to extract knowledge in a classification process is suggested. The model combines the Public Announcement Logic (PAL) and the Linear Temporal Logic (LTL). In the model, first, we consider classifiers, which capture single-framed data. Next, we took classifiers for data-stream data input into consideration. Finally, we formalize natural language properties in LTPAL with a video-stream object detection sample.

    Comment: 27 pages, 1 figures
    Keywords Computer Science - Artificial Intelligence
    Publishing date 2020-09-08
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Can age-distribution be an indicator of the goodness of COVID-19 testing?

    Hoseinpour Dehkordi, Amirhoshang / Nemati, Reza / Tavousi, Pouya

    medRxiv

    Abstract: It has been evident that the faster, more accurate, and more comprehensive testing can help policymakers assess the real impact of COVID-19 and help them with when and how strict the mitigation policies should be. Nevertheless, the exact number of ... ...

    Abstract It has been evident that the faster, more accurate, and more comprehensive testing can help policymakers assess the real impact of COVID-19 and help them with when and how strict the mitigation policies should be. Nevertheless, the exact number of infected ones could not be measured due to the lack of comprehensive testing. In this paper, first of all, we will investigate the relation of transmission of COVID-19 with age by observing timed data in multiple countries. Then, we compare the COVID-19 CFR with the age-demography data. and as a result, we have proposed a method for estimating a lower bound for the number of positive cases by using the reported data on the oldest age group and the regions9 population age-distributions. The proposed estimation method improved the expected similarity between the age-distribution of positive cases and regions9 populations. Thus, using the publicly accessible data for several developed countries, we show how the improvement of testing over the course of several months has made it clear for the community that different age groups are equally prone to becoming COVID positive. The result shows that the age demography of COVID-19 gets similar to the age-demography of the population, together with the reduction of CFR over time. In addition, countries with less CFR have more similar COVID-199s age-distribution, which is caused by more comprehensive testing, than ones who have higher CFR. This leads us to a better estimation for positive cases in different testing strategies. Having knowledge of this fact helps policymakers enforce more effective policies for controlling the spread of the virus.
    Keywords covid19
    Language English
    Publishing date 2020-12-28
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.12.21.20248690
    Database COVID19

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  5. Book ; Online: Meet MASKS

    Dehkordi, Amirhoshang Hoseinpour / Alizadeh, Majid / Movaghar, Ali

    A novel Multi-Classifier's verification approach

    2020  

    Abstract: In this study, a new ensemble approach for classifiers is introduced. A verification method for better error elimination is developed through the integration of multiple classifiers. A multi-agent system comprised of multiple classifiers is designed to ... ...

    Abstract In this study, a new ensemble approach for classifiers is introduced. A verification method for better error elimination is developed through the integration of multiple classifiers. A multi-agent system comprised of multiple classifiers is designed to verify the satisfaction of the safety property. In order to examine the reasoning concerning the aggregation of the distributed knowledge, a logical model has been proposed. To verify predefined properties, a Multi-Agent Systems' Knowledge-Sharing algorithm (MASKS) has been formulated and developed. As a rigorous evaluation, we applied this model to the Fashion-MNIST, MNIST, and Fruit-360 datasets, where it reduced the error rate to approximately one-tenth of the individual classifiers.

    Comment: 34 pages, 12 figures, 1 table
    Keywords Computer Science - Artificial Intelligence ; Computer Science - Logic in Computer Science
    Publishing date 2020-07-03
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Understanding epidemic data and statistics: A case study of COVID-19.

    Hoseinpour Dehkordi, Amirhoshang / Alizadeh, Majid / Derakhshan, Pegah / Babazadeh, Peyman / Jahandideh, Arash

    Journal of medical virology

    2020  Volume 92, Issue 7, Page(s) 868–882

    Abstract: The 2019 novel-coronavirus (COVID-19) has affected 181 countries with approximately 1197405 confirmed cases (by 5th April). Understanding the transmission dynamics of the infection in each country which got affected on a daily basis and evaluating the ... ...

    Abstract The 2019 novel-coronavirus (COVID-19) has affected 181 countries with approximately 1197405 confirmed cases (by 5th April). Understanding the transmission dynamics of the infection in each country which got affected on a daily basis and evaluating the effectiveness of control policies are critical for our further actions. To date, the statistics of COVID-19 reported cases show that more than 80% of infected are mild cases of disease, around 14% of infected have severe complications, and about 5% are categorized as critical disease victims. Today's report (5th April 2020; daily updates in the prepared website) shows that the confirmed cases of COVID-19 in the United States, Spain, Italy, and Germany are 308850, 126168, 124632, and 96092, respectively. Calculating the total case fatality rate (CFR) of Italy (4th April 2020), about 13.3% of confirmed cases have passed away. Compared with South Korea's rate of 1.8% (seven times lower than Italy) and China's 4% (69% lower than Italy), the CFR of Italy is too high. Some effective policies that yielded significant changes in the trend of cases were the lockdown policy in China, Italy, and Spain (the effect observed after some days), the shutdown of all nonessential companies in Hubei (the effect observed after 5 days), combined policy in South Korea, and reducing working hours in Iran.
    MeSH term(s) Algorithms ; Asia/epidemiology ; Betacoronavirus/pathogenicity ; COVID-19 ; Communicable Disease Control ; Coronavirus Infections/diagnosis ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Coronavirus Infections/transmission ; Europe/epidemiology ; Health Policy/legislation & jurisprudence ; Humans ; Pandemics/prevention & control ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/transmission ; Public Health/legislation & jurisprudence ; Quarantine/organization & administration ; SARS-CoV-2 ; Statistics as Topic ; Time Factors
    Keywords covid19
    Language English
    Publishing date 2020-04-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.25885
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Understanding epidemic data and statistics

    Hoseinpour Dehkordi, Amirhoshang / Alizadeh, Majid / Derakhshan, Pegah / Babazadeh, Peyman / Jahandideh, Arash

    Journal of Medical Virology

    A case study of COVID‐19

    2020  Volume 92, Issue 7, Page(s) 868–882

    Keywords Virology ; Infectious Diseases ; covid19
    Language English
    Publisher Wiley
    Publishing country us
    Document type Article ; Online
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.25885
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Understanding Epidemic Data and Statistics: A case study of COVID-19

    Amirhoshang Dehkordi Hoseinpour / Majid Alizadeh / Pegah Derakhshan / Peyman Babazadeh / Arash Jahandideh

    Abstract: The 2019-Novel-Coronavirus (COVID-19) has affected 116 countries (By March 12) and out of more than 118,000 confirmed cases. Understanding the transmission dynamics of the infection in each country which affected on a daily basis and evaluating the ... ...

    Abstract The 2019-Novel-Coronavirus (COVID-19) has affected 116 countries (By March 12) and out of more than 118,000 confirmed cases. Understanding the transmission dynamics of the infection in each country which affected on a daily basis and evaluating the effectiveness of control policies is critical for our further actions. To date, the statistics of COVID-19 reported cases show more than 80 percent of infected had a mild case of disease, while around 14 percent of infected experienced a severe one and about 5 percent are categorized as critical disease victims. Today's report (2020-03-12; daily updates in the prepared website) shows the confirmed cases of COVID-19 in China, South Korea, Italy, and Iran are 80932, 7869, 12462 and 10075; respectively. Calculating the total Case Fatality Rate (CFR) of Italy (2020-03-04), about 7.9% of confirmed cases passed away. Compared to South Korea's rate of 0.76% (10 times lower than Italy) and China's 3.8% (50% lower than Italy), the CFR of Italy is too high. There are some effective policies that yield significant changes in the trend of cases. The lockdown policy in China and Italy (the effect observed after 11 days), Shutdown of all nonessential companies in Hubei (the effect observed after 5 days), combined policy in South Korea and reducing working hours in Iran.
    Keywords covid19
    Publisher arxiv
    Document type Article
    Database COVID19

    Kategorien

  9. Article ; Online: Understanding Epidemic Data and Statistics: A case study of COVID-19

    Hoseinpour Dehkordi, Amirhoshang / Alizadeh, Majid / Derakhshan, Pegah / Babazadeh, Peyman / Jahandideh, Arash

    Abstract: The 2019-Novel-Coronavirus (COVID-19) has affected 181 countries and out of about 1197405 confirmed cases (By April 5). Understanding the transmission dynamics of the infection in each country which affected on a daily basis and evaluating the ... ...

    Abstract The 2019-Novel-Coronavirus (COVID-19) has affected 181 countries and out of about 1197405 confirmed cases (By April 5). Understanding the transmission dynamics of the infection in each country which affected on a daily basis and evaluating the effectiveness of control policies is critical for our further actions. To date, the statistics of COVID-19 reported cases show more than 80 percent of infected had a mild case of disease, while around 14 percent of infected experienced a severe one and about 5 percent are categorized as critical disease victims. Today's report (2020-04-05; daily updates in the prepared website) shows the confirmed cases of COVID-19 in the US, Spain, Italy, and Germany are 308850, 126168, 124632, and 96092; respectively. Calculating the total Case Fatality Rate (CFR) of Italy (2020-04-04), about 13.3% of confirmed cases passed away. Compared to South Korea's rate of 1.8% (7 times lower than Italy) and China's 4% (69% lower than Italy), the CFR of Italy is too high. There are some effective policies that yield significant changes in the trend of cases. The lockdown policy in China, Italy, and Spain (the effect observed after some days), Shutdown of all non-essential companies in Hubei (the effect observed after 5 days), combined policy in South Korea, and reducing working hours in Iran.
    Keywords covid19
    Publisher MedRxiv; WHO
    Document type Article ; Online
    DOI 10.1101/2020.03.15.20036418
    Database COVID19

    Kategorien

  10. Article ; Online: Understanding Epidemic Data and Statistics: A case study of COVID-19

    Hoseinpour Dehkordi, Amirhoshang / Alizadeh, Majid / Derakhshan, Pegah / Babazadeh, Peyman / Jahandideh, Arash

    medRxiv

    Abstract: The 2019-Novel-Coronavirus (COVID-19) has affected 115 countries and out of more than 118,000 confirmed cases. Understanding the transmission dynamics of the infection in each country which affected on a daily basis and evaluating the effectiveness of ... ...

    Abstract The 2019-Novel-Coronavirus (COVID-19) has affected 115 countries and out of more than 118,000 confirmed cases. Understanding the transmission dynamics of the infection in each country which affected on a daily basis and evaluating the effectiveness of control policies is critical for our further actions. To date, the statistics of COVID-10 reported cases show more than 80 percent of infected had a mild case of disease, while around 14 percent of infected experienced a severe one and about 5 percent are categorized as critical disease victims. Today9s report (2020-03-12; daily updates in the prepared website) shows the confirmed cases of COVID-19 in China, South Korea, Italy, and Iran are 80932, 7869, 12462 and 10075; respectively. Calculating the total Case Fatality Rate (CFR) of Italy (2020-03-04), about 7.9% of confirmed cases passed away. Compared to South Korea9s rate of 0.76% (10% lower than Italy) and China9s 3.8% (50% lower than Italy), the CFR of Italy is too high. There are some effective policies that yield significant changes in the trend of cases. The lockdown policy in china and Italy (the effect observed after 11 days), Shutdown of all non-essential companies in Hubei (the effect observed after 5 days), combined policy in South Korea and reducing working hours in Iran.
    Keywords covid19
    Language English
    Publishing date 2020-03-18
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.03.15.20036418
    Database COVID19

    Kategorien

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