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  1. AU="Shahir Asfahan"
  2. AU="A.E.Pace, "
  3. AU="Scharbert, J"
  4. AU=Alganabi Mashriq
  5. AU=Balthazar Emil J
  6. AU="Pallos, Debora"
  7. AU="Tatsuya Igarashi"
  8. AU="Martinez, Randy"
  9. AU="Fu, Yayan"
  10. AU=Hertel Laura
  11. AU="Sasivimolrattana, Thanayod"
  12. AU="McAuley, Arnold" AU="McAuley, Arnold"
  13. AU="Reithmeier, Reinhart A F"
  14. AU="Ma, Dongmei"
  15. AU="Suh, M. H"
  16. AU="Xiao-Cheng Sun"
  17. AU="Belizario Quispe, Germán"

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  1. Artikel ; Online: Identifying psychological antecedents and predictors of vaccine hesitancy through machine learning

    Neeti Rustagi / Yachana Choudhary / Shahir Asfahan / Kunal Deokar / Abhishek Jaiswal / Prasanna Thirunavukkarasu / Nitesh Kumar / Pankaja Raghav

    Monaldi Archives for Chest Disease (2022)

    A cross sectional study among chronic disease patients of deprived urban neighbourhood, India

    2022  

    Abstract: COVID-19 vaccine hesitancy among chronic disease patients can severely impact individual health with the potential to impede mass vaccination essential for containing the pandemic. The present study was done to assess the COVID-19 vaccine antecedents and ...

    Abstract COVID-19 vaccine hesitancy among chronic disease patients can severely impact individual health with the potential to impede mass vaccination essential for containing the pandemic. The present study was done to assess the COVID-19 vaccine antecedents and its predictors among chronic disease patients. This cross-sectional study was conducted among chronic disease patients availing care from a primary health facility in urban Jodhpur, Rajasthan. Factor and reliability analysis was done for the vaccine hesitancy scale to validate the 5 C scale. Predictors assessed for vaccine hesitancy were modelled with help of machine learning (ML). Out of 520 patients, the majority of participants were female (54.81%). Exploratory factor analysis revealed four psychological antecedents’ “calculation”; “confidence”; “constraint” and “collective responsibility” determining 72.9% of the cumulative variance of vaccine hesitancy scale. The trained ML algorithm yielded an R2 of 0.33. Higher scores for COVID-19 health literacy and preventive behaviour, along with family support, monthly income, past COVID-19 screening, adherence to medications and age were associated with lower vaccine hesitancy. Behaviour changes communication strategies targeting COVID-19 health literacy and preventive behaviour especially among population sub-groups with poor family support, low income, higher age groups and low adherence to medicines may prove instrumental in this regard.
    Schlagwörter Vaccine hesitancy ; COVID-19 preventive behaviour ; Machine learning ; Health literacy ; Chronic disease patients ; Medicine ; R
    Thema/Rubrik (Code) 610
    Sprache Englisch
    Erscheinungsdatum 2022-03-01T00:00:00Z
    Verlag PAGEPress Publications
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Early trends of socio-economic and health indicators influencing case fatality rate of COVID-19 pandemic

    Shahir Asfahan / Aneesa Shahul / Gopal Chawla / Naveen Dutt / Ram Niwas / Neeraj Gupta

    Monaldi Archives for Chest Disease, Vol 90, Iss

    2020  Band 3

    Abstract: Coronavirus disease 2019, i.e. COVID-19, started as an outbreak in a district of China and has engulfed the world in a matter of 3 months. It is posing a serious health and economic challenge worldwide. However, case fatality rates (CFRs) have varied ... ...

    Abstract Coronavirus disease 2019, i.e. COVID-19, started as an outbreak in a district of China and has engulfed the world in a matter of 3 months. It is posing a serious health and economic challenge worldwide. However, case fatality rates (CFRs) have varied amongst various countries ranging from 0 to 8.91%. We have evaluated the effect of selected socio-economic and health indicators to explain this variation in CFR. Countries reporting a minimum of 50 cases as on 14th March 2020, were selected for this analysis. Data about the socio-economic indicators of each country was accessed from the World bank database and data about the health indicators were accessed from the World Health Organisation (WHO) database. Various socioeconomic indicators and health indicators were selected for this analysis. After selecting from univariate analysis, the indicators with the maximum correlation were used to build a model using multiple variable linear regression with a forward selection of variables and using adjusted R-squared score as the metric. We found univariate regression results were significant for GDP (Gross Domestic Product) per capita, POD 30/70 (Probability Of Dying Between Age 30 And Exact Age 70 From Any of Cardiovascular Disease, Cancer, Diabetes or Chronic Respiratory Disease), HCI (Human Capital Index), GNI(Gross National Income) per capita, life expectancy, medical doctors per 10000 population, as these parameters negatively corelated with CFR (rho = -0.48 to -0.38 , p<0.05). Case fatality rate was regressed using ordinary least squares (OLS) against the socio-economic and health indicators. The indicators in the final model were GDP per capita, POD 30/70, HCI, life expectancy, medical doctors per 10,000, median age, current health expenditure per capita, number of confirmed cases and population in millions. The adjusted R-squared score was 0.306. Developing countries with a poor economy are especially vulnerable in terms of COVID-19 mortality and underscore the need to have a global policy to deal with this ...
    Schlagwörter COVID-19 ; pandemic ; case fatality rate ; Medicine ; R
    Thema/Rubrik (Code) 300
    Sprache Englisch
    Erscheinungsdatum 2020-07-01T00:00:00Z
    Verlag PAGEPress Publications
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Extrapolation of mortality in COVID-19

    Shahir Asfahan / Kunal Deokar / Naveen Dutt / Ram Niwas / Priyank Jain / Mehul Agarwal

    Monaldi Archives for Chest Disease, Vol 90, Iss

    Exploring the role of age, sex, co-morbidities and health-care related occupation

    2020  Band 2

    Abstract: We used a publicly available data of 44,672 patients reported by China’s centre for disease control to study the role of age, sex, co-morbidities and health-care related occupation on COVID-19 mortality. The data is in the form of absolute numbers and ... ...

    Abstract We used a publicly available data of 44,672 patients reported by China’s centre for disease control to study the role of age, sex, co-morbidities and health-care related occupation on COVID-19 mortality. The data is in the form of absolute numbers and proportions. Using the percentages, retrospective synthetic data of 100 survivors and 100 deaths were generated using random number libraries so that proportions of ages, genders, co-morbidities, and occupations were constant as in the original data. Logistic regression of the four predictor factors of age, sex, co-morbidities and occupation revealed that only age and comorbidities significantly affected mortality. Sex and occupation when adjusted for other factors in the equation were not significant predictors of mortality. Age and presence of co-morbidities correlated negatively with survival with co-efficient of -1.23 and -2.33 respectively. Odds ratio (OR) for dying from COVID-19 for every 10-year increase in age was 3.4 compared to the previous band of 10 years. OR for dying of COVID-19 was 10.3 for the presence of any of the co-morbidities. Our findings could help in triaging the patients in the emergency room and emphasize the need to protect the elderly and those with comorbidities from getting exposed.
    Schlagwörter COVID-19 ; mortality ; determinants ; Medicine ; R ; covid19
    Thema/Rubrik (Code) 310
    Sprache Englisch
    Erscheinungsdatum 2020-05-01T00:00:00Z
    Verlag PAGEPress Publications
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: D-dimer, disease severity, and deaths (3D-study) in patients with COVID-19

    Seshadri Reddy Varikasuvu / Saurabh Varshney / Naveen Dutt / Manne Munikumar / Shahir Asfahan / Paresh P. Kulkarni / Pratima Gupta

    Scientific Reports, Vol 11, Iss 1, Pp 1-

    a systematic review and meta-analysis of 100 studies

    2021  Band 11

    Abstract: Abstract Hypercoagulability and the need for prioritizing coagulation markers for prognostic abilities have been highlighted in COVID-19. We aimed to quantify the associations of D-dimer with disease progression in patients with COVID-19. This systematic ...

    Abstract Abstract Hypercoagulability and the need for prioritizing coagulation markers for prognostic abilities have been highlighted in COVID-19. We aimed to quantify the associations of D-dimer with disease progression in patients with COVID-19. This systematic review and meta-analysis was registered with PROSPERO, CRD42020186661.We included 113 studies in our systematic review, of which 100 records (n = 38,310) with D-dimer data) were considered for meta-analysis. Across 68 unadjusted (n = 26,960) and 39 adjusted studies (n = 15,653) reporting initial D-dimer, a significant association was found in patients with higher D-dimer for the risk of overall disease progression (unadjusted odds ratio (uOR) 3.15; adjusted odds ratio (aOR) 1.64). The time-to-event outcomes were pooled across 19 unadjusted (n = 9743) and 21 adjusted studies (n = 13,287); a strong association was found in patients with higher D-dimers for the risk of overall disease progression (unadjusted hazard ratio (uHR) 1.41; adjusted hazard ratio (aHR) 1.10). The prognostic use of higher D-dimer was found to be promising for predicting overall disease progression (studies 68, area under curve 0.75) in COVID-19. Our study showed that higher D-dimer levels provide prognostic information useful for clinicians to early assess COVID-19 patients at risk for disease progression and mortality outcomes. This study, recommends rapid assessment of D-dimer for predicting adverse outcomes in COVID-19.
    Schlagwörter Medicine ; R ; Science ; Q
    Thema/Rubrik (Code) 610
    Sprache Englisch
    Erscheinungsdatum 2021-11-01T00:00:00Z
    Verlag Nature Portfolio
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: Triple hit effect

    Ramakant Dixit / Lokendra Dave / Neeraj Gupta / Shahir Asfahan

    Lung India, Vol 32, Iss 5, Pp 524-

    2015  Band 526

    Schlagwörter Diseases of the respiratory system ; RC705-779 ; Specialties of internal medicine ; RC581-951 ; Internal medicine ; RC31-1245 ; Medicine ; R
    Sprache Englisch
    Erscheinungsdatum 2015-01-01T00:00:00Z
    Verlag Medknow Publications
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel ; Online: Peripheral neuropathy in Chronic Obstructive Airway Disease

    Neeraj Gupta / Chetan Basavaraj Patil / Rakesh C Gupta / Shahir Asfahan

    Journal of Medical Sciences, Vol 35, Iss 2, Pp 79-

    2015  Band 81

    Abstract: Peripheral neuropathy in COPD has received scanty attention despite the fact that very often clinicians come across COPD patients having clinical features suggestive of peripheral neuropathy while this comorbidity is often overlooked & considered a ... ...

    Abstract Peripheral neuropathy in COPD has received scanty attention despite the fact that very often clinicians come across COPD patients having clinical features suggestive of peripheral neuropathy while this comorbidity is often overlooked & considered a separate entity. A number of studies have now confirmed the association of COPD and peripheral neuropathy with hypoxaemia being a dominant etiopathogenic factor among others. We report a case a demyelinating polyradiculopathy in a patient with COPD along with a brief review of literature.
    Schlagwörter Chronic obstructive pulmonary disease ; peripheral neuropathy ; demyelinating polyradiculopathy ; Medicine ; R ; Medical emergencies. Critical care. Intensive care. First aid ; RC86-88.9
    Sprache Englisch
    Erscheinungsdatum 2015-01-01T00:00:00Z
    Verlag Wolters Kluwer Medknow Publications
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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