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Using Exploratory Data Analysis for Generating Inferences on the Correlation of COVID-19 cases

Joanita DSouza, Senthil Velan S
2020 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)  
The technique is widely used to generate inferences from a given data set. Data set of current pandemic, the COVID-19 is widely made available by the standard dataset repository.  ...  Exploratory Data Analysis (EDA) is a field of data analysis used to visually represent the knowledge embedded deep in the given data set.  ...  METHODOLOGY In this section, we discuss how to obtain patterns using the Exploratory Data Analysis (EDA) for the current COVID-19 pandemic.  ... 
doi:10.1109/icccnt49239.2020.9225621 dblp:conf/icccnt/DSouzaS20 fatcat:x4wa4wwje5c7lcvbdef22rng3q

Application of Machine Learning to Study the Association between Environmental Factors and COVID-19 Cases in Mississippi, USA

Francis Tuluri, Reddy Remata, Wilbur L. Walters, Paul. B. Tchounwou
2022 Mathematics  
A statistical analysis using Python programming showed that the humidity ranged from 56% to 78%, and COVID-19 cases increased from 634 to 3546.  ...  The present study aimed to assess the effects of selected environmental factors such as temperature, humidity, dew point, wind speed, pressure, and precipitation on the daily increase in COVID-19 cases  ...  Acknowledgments: One of the authors also thank NVIDIA for providing Jetson Xavier Development Kit to run the Python code.  ... 
doi:10.3390/math10060850 fatcat:hh4jg4gsm5hbddbzejqo5ihacu

Revisiting the role of vitamin D levels in the prevention of COVID-19 infection and mortality in European countries post infections peak

Samer Singh, Rajinder Kaur, Rakesh Kumar Singh
2020 Aging Clinical and Experimental Research  
Comparative analysis of data from the mentioned stages indicated a significant increase in negative correlation of vitamin D levels with COVID-19 cases per million population in later stage (r(20): -0.5504  ...  Various studies are underway to identify protective variables for the COVID-19 pandemic.  ...  The Microsoft excel was used for making basic statistic calculations (linear regression analysis-calculation of best-fit trend line for data, the R-squared value (R 2 ); and Pearson correlation coefficient  ... 
doi:10.1007/s40520-020-01619-8 pmid:32797388 pmcid:PMC7426200 fatcat:mllrwcqwnfcj7iqe3teobpl3hm

An Exploratory Study to Find the Early Trend and Pattern Recognition of COVID-19 Infection in India: A Severity Model-Based Prediction

Afreen Khan, Swaleha Zubair, Najam Khalique, Samreen Khan
2021 Indian Journal of Community Health  
On 165-days based analysis, we found a trending pattern of confirmed, recovered, deceased and active cases of COVID-19 in India.  ...  Exploratory data analysis (EDA) tools and techniques were applied to establish a correlation amongst the various features. The acute stage of the disease was mapped in order to build a robust model.  ...  The data analysis section further consisted of statistical analysis and exploratory data analysis.  ... 
doi:10.47203/ijch.2021.v33i02.013 fatcat:lxkkaqhxrrg4fdggsafaf2633i

Contribution of Daily General Mobility to PM10 Concentration Development in Sisak-Moslavina County, Croatia during the Covid-19 Pandemic in 2020

Teodor B. Iliev, Tea Sikirica, Darko Špoljar, Renato Filjar
2022 Communications - Scientific letters of the University of Zilina  
The Covid-19 pandemic created an unprecedented opportunity to understanding the impact of carbon and pollutant emission.  ...  , during the Covid-19 outbreak in 2020.  ...  Presented in the form of the Covid-19 Community Mobility Reports with data in CSV format, mobility indices are an invaluable source of data on general mobility during the Covid-19 pandemic.  ... 
doi:10.26552/com.c.2022.2.d85-d91 fatcat:lsbtzd4x2jebjjxlibgn6h6tlq

Coronavirus Pandemic Anxiety Scale (CPAS-11): development and initial validation

Allan B. I. Bernardo, Norman B. Mendoza, Patricia D. Simon, Angela Lorraine P. Cunanan, John Ian Wilzon T. Dizon, Maria Caridad H. Tarroja, Araceli Ma. Balajadia-Alcala, Jesus Enrique G. Saplala
2020 Current psychology (New Brunswick, N.J.)  
Exploratory factor analysis indicated two factors corresponding to somatic and non-somatic symptoms; confirmatory factor analysis showed good fit for the two-factor model.  ...  The mental health impact of the COVID-19 pandemic will increase as the outbreak continues and persist even after the pandemic passes.  ...  The sample was randomly split into two smaller samples for the exploratory factor analysis and the confirmatory factor analysis described below.  ... 
doi:10.1007/s12144-020-01193-2 pmid:33223781 pmcid:PMC7664585 fatcat:i3wmctjd25cupc4cyskuebx7nq

Statistical Comparison of COVID-19 Infections Based Upon the Food Habits/Diets in Countries Using RStudio

Rohan Ramachandran, Senthil Velan S, Daifa Imtiyaz Wadekar
2021 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence)  
By statistically analyzing the data using RStudio, it was possible to infer on the changes in dietary habits between countries of similarities.  ...  Based on the statistical analysis, it was found that the consumption of fat varies depending on the availability of meat or vegetables during the COVID-19 pandemic leading to vulnerability of human population  ...  The concept of Exploratory Data Analysis (EDA) has been applied by Joanita and Senthil Velan [5] on developing correlation among the COVID-19 cases.  ... 
doi:10.1109/confluence51648.2021.9377094 fatcat:cureo55kfndwzkdt7ucjymdd6y

Excess risk and clusters of symptoms after COVID-19 in a large Norwegian cohort

Ida Henriette Caspersen, Per Magnus, Lill Trogstad
2022 European Journal of Epidemiology  
AbstractPhysical, psychological and cognitive symptoms have been reported as post-acute sequelae for COVID-19 patients but are also common in the general uninfected population.  ...  Lack of taste and smell showed low to moderate correlation to other symptoms. Anxiety, depression and mood swings were not strongly related to COVID-19.  ...  Symptom patterns among all COVID-19 cases were derived from exploratory factor analysis using the tetrachoric correlation matrix.  ... 
doi:10.1007/s10654-022-00847-8 pmid:35211871 pmcid:PMC8872922 fatcat:yloaytzvuracddkkd33i5pfk6e

Multiplicity Eludes Peer Review: The Case of COVID-19 Research

Oliver Gutiérrez-Hernández, Luis Ventura García
2021 International Journal of Environmental Research and Public Health  
In this paper, we perform an exploratory analysis of the Web of Science database for COVID-19 observational studies.  ...  Multiplicity arises when data analysis involves multiple simultaneous inferences, increasing the chance of spurious findings. It is a widespread problem frequently ignored by researchers.  ...  Acknowledgments: We thank Cristina Aponte for her valuable comments and suggestions on the working versions of the article.  ... 
doi:10.3390/ijerph18179304 pmid:34501892 fatcat:jdmf4n2jtnfadbj4x4eqcuinba

Using Supervised Machine Learning and Empirical Bayesian Kriging to reveal Correlates and Patterns of COVID-19 Disease outbreak in sub-Saharan Africa: Exploratory Data Analysis [article]

Amobi Andrew Onovo, Akinyemi Atobatele, Abiye Kalaiwo, Christopher Obanubi, Ezekiel James, Pamela Gado, Gertrude Odezugo, Doreen Magaji, Dolapo Ogundehin, Michele Russell
2020 medRxiv   pre-print
Funding: Authors were wholly responsible for the costs of data collation and analysis.  ...  COVID-19 data was merged with additional data on socio-demographic and health indicator survey data for 39 of SSA 48 countries that reported confirmed cases and deaths from coronavirus between February  ...  Acknowledgments Data used for this analysis was obtained from the COVID-19 Data Resource Hub established by the Tableau community and included near real-time data compiled by Johns Hopkins University.  ... 
doi:10.1101/2020.04.27.20082057 fatcat:uxl4e6iqgfea7gqlnyrddbaa74

The Effect of COVID-19 Anxiety on General Health: the Role of COVID-19 Coping

Murat Yıldırım, Ömer Akgül, Ekmel Geçer
2021 International Journal of Mental Health and Addiction  
The findings are important for tailoring and implementing coping-based intervention strategies to reduce the impact of COVID-19 anxiety on general health.  ...  This study examined the mediating effect of COVID-19 coping strategies on the relationship between COVID-19 anxiety and general health.  ...  Results Descriptive Analysis Exploratory Factor Analysis EFA using maximum likelihood estimation was performed separately for each of the scale.  ... 
doi:10.1007/s11469-020-00429-3 pmid:33456406 pmcid:PMC7799156 fatcat:6ar34ahx4ranrhtnsphxo5ctyi

Psychometric Properties of a Spanish Version of the Fear of COVID-19 Scale in General Population of Lima, Peru

Jeff Huarcaya-Victoria, David Villarreal-Zegarra, Angela Podestà, María Alejandra Luna-Cuadros
2020 International Journal of Mental Health and Addiction  
The results support a bifactor model consisting of one general factor and two specific factors-one of emotional fear reactions and another of somatic expressions of fear of COVID-19 (CFI = 0.988, RMSEA  ...  The main objective of this study was to analyze the psychometric properties of the Spanish-translated version of the Fear of COVID-19 Scale (FCV-19S) using a sample of population in Peru.  ...  The immediate priority is the collection of high-quality data on the mental health and psychological effects of the COVID-19 pandemic across the general population and in specifically vulnerable groups  ... 
doi:10.1007/s11469-020-00354-5 pmid:32837434 pmcid:PMC7307940 fatcat:lmiirhijzfggdeaujaqdfkjwpu

Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes [article]

Hyeju Jang, Emily Rempel, Giuseppe Carenini, Naveed Janjua
2020 arXiv   pre-print
We analyze COVID-19 related tweets using topic modeling and aspect-based sentiment analysis, and interpret the results with public health experts.  ...  We compare timeline of topics discussed with timing of implementation of public health interventions for COVID-19. We also examine people's sentiment about COVID-19 related issues.  ...  Conclusion In this paper we presented the exploratory results of topic modeling and ABSA on COVID-19 related tweets in North America.  ... 
arXiv:2007.02452v1 fatcat:arlnnvqeyfggfjojjzpo3wif2u

Advances, challenges and opportunities of phylogenetic and social network analysis using COVID-19 data

Yue Wang, Yunpeng Zhao, Qing Pan
2021 Briefings in Bioinformatics  
Finally, future new directions of network analysis motivated by COVID-19 data are summarized.  ...  Challenges in current phylogenetic network analysis on SARS-CoV-2 such as unreliable inferences, sampling bias and batch effects are discussed as well as potential solutions.  ...  combined with social network analysis using real or simulated data are used to predict future case numbers and evaluate prevention and control strategies. • Unmet research needs in the surge of COVID-19  ... 
doi:10.1093/bib/bbab406 pmid:34601563 fatcat:vdqziqyxmvht5debf25ft3a55a

Assessment of Neonatal Cord Blood SARS-CoV-2 Antibodies after COVID-19 Vaccination in Pregnancy: A Prospective Cohort Study

Marina Sourouni, Janina Braun, Kathrin Oelmeier, Mareike Möllers, Daniela Willy, Marc T. Hennies, Helen Ann Köster, Ulrich Pecks, Walter Klockenbusch, Ralf Schmitz
2022 Geburtshilfe und Frauenheilkunde  
So far, limited data has shown transplacental transmission of antibodies after coronavirus disease 2019 (COVID-19) vaccination with BNT162b2 in the third trimester.  ...  Study Design Women who gave birth in our department and were vaccinated against COVID-19 during pregnancy were enrolled in CRONOS Satellite, a subproject of the German COVID-19-Related Obstetric and Neonatal  ...  Acknowledgements We would like to thank the whole team of the Department of Obstetrics and Gynaecology and especially the personnel in the delivery room, as well as the CRONOS team for their support.  ... 
doi:10.1055/a-1721-4908 pmid:35528187 pmcid:PMC9076212 fatcat:65aach3fgfevxe5fowbixhis3q
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