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Disease mentions in airport and hospital geolocations expose dominance of news events for disease concerns

Joana M. Barros, Jim Duggan, Dietrich Rebholz-Schuhmann
2018 Journal of Biomedical Semantics  
In particular, our assumption about the relevance of hospital and airport geolocations for an increased frequency of diseases mentions has not been met.  ...  In our study, we differentiate between hospital and airport locations to better distinguish disease outbreaks from background mentions of disease concerns.  ...  Availability of data and materials Please contact author for data requests.  ... 
doi:10.1186/s13326-018-0186-9 pmid:29895320 pmcid:PMC5996486 fatcat:rl7ohtddjzfcjczpaq3uhrgxqe

Big Data Research in Fighting COVID-19: Contributions and Techniques

Dianadewi Riswantini, Ekasari Nugraheni, Andria Arisal, Purnomo Husnul Khotimah, Devi Munandar, Wiwin Suwarningsih
2021 Big Data and Cognitive Computing  
for further development or starting new studies are provided.  ...  Therefore, this study presents the role of Big Data technologies in enhancing the research relative to COVID-19 and provides insights into the current state of knowledge within the domain and references  ...  Acknowledgments: The authors wish to thank the other members of the information retrieval research group at Research Center for Informatics, Indonesian Institute for Sciences, for their help and supportive  ... 
doi:10.3390/bdcc5030030 fatcat:cb76tqcfsbbobdwr46lmkmvwne

The social amplification and attenuation of COVID-19 risk perception shaping mask wearing behavior: A longitudinal twitter analysis

Suellen Hopfer, Emilia J. Fields, Yuwen Lu, Ganesh Ramakrishnan, Ted Grover, Quishi Bai, Yicong Huang, Chen Li, Gloria Mark, Anat Gesser-Edelsburg
2021 PLoS ONE  
Descriptive statistics were computed for (a) proportion of tweets using hyperlinks, (b) mentions, (c) hashtags, (d) questions, and (e) location.  ...  Introduction Twitter represents a mainstream news source for the American public, offering a valuable vehicle for learning how citizens make sense of pandemic health threats like Covid-19.  ...  geolocated tweets (see S2 List for a list of news agencies).  ... 
doi:10.1371/journal.pone.0257428 pmid:34555060 fatcat:erqvlz5ehrabzj5iwa74ifqmze

The impact of super-spreader cities, highways, and intensive care availability in the early stages of the COVID-19 epidemic in Brazil

Miguel A. L. Nicolelis, Rafael L. G. Raimundo, Pedro S. Peixoto, Cecilia S. Andreazzi
2021 Scientific Reports  
AbstractAlthough international airports served as main entry points for SARS-CoV-2, the factors driving the uneven geographic spread of COVID-19 cases and deaths in Brazil remain mostly unknown.  ...  By adding only 16 other spreading cities, we accounted for 98–99% of the cases reported during the first 3 months of the pandemic in Brazil.  ...  P.P. was responsible for all mathematical models and statistical analysis of the manuscript and participated in the manuscript writing. C.S.A. was responsible for data collection  ... 
doi:10.1038/s41598-021-92263-3 pmid:34155241 fatcat:cgdgejcxuzahzibuiuiivsam3a

Data Management in the Worldwide Sensor Web

Magdalena Balazinska, Amol Deshpande, Michael J. Franklin, Phillip B. Gibbons, Jim Gray, Mark Hansen, Michael Liebhold, Suman Nath, Alexander Szalay, Vincent Tao
2007 IEEE pervasive computing  
Continuing the healthcare example, geolocating patients allows comparison of disease rates with detection of diseased animals in various regions and comparison of climate variables (temperature and pollution  ...  For example, while treating a patient, healthcare professionals might query hospitals for the patient's health profile and airports for his or her recent travels.  ...  Mark Hansen is an associate professor and the vice chair for graduate studies in the Department of Statistics at the University of California, Los Angeles.  ... 
doi:10.1109/mprv.2007.27 fatcat:4csakiyjyvc33hl6slpbyvgciy

Mitigating Risk of the Tourism Sector in the European Union Member States During the COVID-19 Pandemic

Anna Bera, Karolina Drela, Agnieszka Malkowska, Anna Tokarz-Kocik
The results may be used to develop a long-term strategy for the EU's tourism sector and programmes for prevention of crisis outcomes in other sectors of the economy as well.  ...  Research methods applied in the paper include critical review of literature, method of comparative analysis and secondary data analysis.  ...  Acknowledgement: The project is financed within the framework of the program of the Minister of Science and Higher Education under the name "Regional Excellence Initiative" in the years 2019 -2022 project  ... 
doi:10.35808/ersj/1674 fatcat:besloha7qrgjtfwfqjzoqvkt5u

Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments

Abdul Majeed, Seong Oun Hwang
2021 Symmetry  
COVID-19 pandemic, (iv) AI role in the healthcare sector in the context of COVID-19 pandemic, (v) general-purpose applications of AI in COVID-19 era, and (vi) AI role in drug design and repurposing (e.g  ...  This paper presents the role of artificial intelligence (AI) and other latest technologies that were employed to fight the recent pandemic (i.e., novel coronavirus disease-2019 (COVID-19)).  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/sym14010016 fatcat:4ntcu4xdkrdsbbfz2aibwndefa

Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey [article]

Yiqun Xie, Shashi Shekhar, Yan Li
2021 arXiv   pre-print
Mapping of spatial hotspots, i.e., regions with significantly higher rates or probability density of generating certain events (e.g., disease or crime cases), is a important task in diverse societal domains  ...  Finally, we highlight research gaps and potential future directions, which may serve as a stepping stone in generating new ideas and thoughts in this growing field and beyond.  ...  In contrast, the second considers a set of 1 , and each 1 relates to a different subset of sub-events [141] . For example, both hospital and pharmacy visits are related to disease outbreak.  ... 
arXiv:2103.12019v1 fatcat:3xnj7jlxzvcrnfkwzdrpoxgl24

The COVID-19-crisis and the information polity: An overview of responses and discussions in twenty-one countries from six continents

Albert Meijer, C. William R. Webster
2020 Information Polity  
A comparative analysis of these reports highlights that governments focus on strengthening six functions: management of information for crisis management, publishing public information for citizens, providing  ...  digital services to citizens, monitoring citizens in public space, facilitating information exchange between citizens and developing innovative responses to COVID-19.  ...  , trend on hospitalization and trend on new cases.  ... 
doi:10.3233/ip-200006 dblp:journals/polity/MeijerW20 fatcat:rfn23w5zvbho5hi4jj4o6xk3uu

How super-spreader cities, highways, hospital bed availability, and dengue fever influenced the COVID-19 epidemic in Brazil [article]

Miguel A.L. Nicolelis, Rafael L. G. Raimundo, Pedro S. Peixoto, Cecília S. de Andreazzi
2020 medRxiv   pre-print
ABSTRACTAlthough its international airports served as the country's main entry points for SARS-CoV-2, the factors driving the uneven geographic spread of COVID-19 cases and deaths in Brazil remain largely  ...  This inverse correlation between COVID-19 and dengue fever was further observed in a sample of countries around Asia and Latin America, as well as in islands in the Pacific and Indian Oceans.  ...  For instance, pre-existing cross-reactivity, mediated by CD4 + T cells to SARS-CoV-2 has been reported in 25-50% of people not exposed to the new coronavirus [31, 32]. .  ... 
doi:10.1101/2020.09.19.20197749 fatcat:32kzbdg4mjccnoczunv4774niq

Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review

Md. Mokhlesur Rahman, Kamal Chandra Paul, Md. Amjad Hossain, G. G. Md. Nawaz Ali, Md. Shahinoor Rahman, Jean-Claude Thill
2021 IEEE Access  
Many studies have been conducted to predict the diffusion of the COVID-19 disease, assess the impacts of the pandemic on human mobility and on air quality, and assess the impacts of lockdown measures on  ...  Additionally, we discuss policy implications, which will be helpful for policy makers to take prompt actions to moderate the severity of the pandemic and improve urban environments by adopting data-driven  ...  For example, disadvantaged segments of society (e.g., elderly, people with heart disease) voluntarily limit their movement due to their concern and fear of exposure and infection.  ... 
doi:10.1109/access.2021.3079121 pmid:34786314 pmcid:PMC8545207 fatcat:zpj7m7o5xvdslitzycrwzzsjvm

Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review [article]

Md. Mokhlesur Rahman, Kamal Chandra Paul, Md. Shahinoor Rahman, Jean-Claude Thill
2021 arXiv   pre-print
This study also discusses policy implications, which will be helpful for policymakers to take prompt actions to moderate the severity of the pandemic and improve urban environments by adopting data-driven  ...  This review study also noticed that COVID-19 related lockdown measures significantly improve air quality by reducing the concentration of air pollutants, which in turn improves the COVID-19 situation by  ...  For example, disadvantaged segments of society (e.g., elderly, people with heart disease) voluntarily limit their movement due to their concern and fear of exposure and infection.  ... 
arXiv:2104.04059v1 fatcat:iansohms2bfx5lqs2wsxhxahwe

COVID-19 Datasets: A Survey and Future Challenges [article]

Junaid Shuja, Eisa Alanazi, Waleed Alasmary, Abdulaziz Alashaikh
2020 medRxiv   pre-print
Some of these efforts focus on statistical and Artificial Intelligence-based analysis of the available data concerning COVID-19.  ...  All of these scientific efforts necessitate that the data brought to service for the analysis should be open-source to promote the extension, validation, and collaboration of the work in the fight against  ...  Authors [52] utilized data augmentation techniques to increase the number of data points for CNN based classification of COVID-19 X-ray images.  ... 
doi:10.1101/2020.05.19.20107532 fatcat:ovm4kh4uzjarbmst2uf37pjnfe

Rift Valley Fever: risk of persistence, spread and impact in Mayotte (France)

EFSA Panel on Animal Health and Welfare (AHAW), Søren Saxmose Nielsen, Julio Alvarez, Dominique Joseph Bicout, Paolo Calistri, Klaus Depner, Julian Ashley Drewe, Bruno Garin‐Bastuji, José Luis Gonzales Rojas, Christian Gortázar Schmidt, Virginie Michel, Miguel Ángel Miranda Chueca (+14 others)
2020 EFSA Journal  
Rift Valley fever (RVF) is a vector-borne disease transmitted by different mosquito species, especially Aedes and Culex genus, to animals and humans.  ...  The tropical climate in Mayotte provides conditions for the presence of mosquitoes during the whole year, and illegal introductions of animals represent a continuous risk of (re)introduction of RVF.  ...  The rules laid down in the abovementioned draft Commission Delegated Regulation are largely replacing the rules currently in force concerning the disease control measures in the event of animal diseases  ... 
doi:10.2903/j.efsa.2020.6093 pmid:32874301 pmcid:PMC7448016 fatcat:4q5ijpyy4vcf3lb6s5kgsr626a

Breast Cancer Screening Amongst Arabic Women Living in the State of Qatar: Preliminary Results of the Cross-Sectional Community Based Survey

Tam Truong Donnelly
2011 Qatar Foundation Annual Research Forum Proceedings  
(HCCC), which is relatively new and one of the most modern oncology hospitals in Poland.  ...  of data. use of new technology to facilitate remote data entry may aid in implementation of cancer registries and help to address concerns about completeness and validity.  ...  These men remained in the area for an average of three months and were exposed to low-level radiation (estimated mean dose 10 cGy).  ... 
doi:10.5339/qfarf.2011.bmp67 fatcat:mcvzric2xjcvjej7jkhi4uviae
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