Detecting disease outbreaks in mass gatherings using Internet data - Wikidata - wikimedia - TriplyDB

Detecting disease outbreaks in mass gatherings using Internet data

Detecting disease outbreaks in mass gatherings using Internet data

http://www.wikidata.org/entity/Q28655920

about

Event-Based Surveillance During EXPO Milan 2015: Rationale, Tools, Procedures, and Initial Results Ethical issues in using Twitter for population-level depression monitoring: a qualitative study Modelling, Simulation and Social Network Data: What's New for Public Health and Epidemiology Informatics?New digital technologies for the surveillance of infectious diseases at mass gathering events An internet-based epidemiological investigation of the outbreak of H7N9 Avian influenza A in China since early 2013 Examining the Relationship Between Past Orientation and US Suicide Rates: An Analysis Using Big Data-Driven Google Search Queries.Social Media, Big Data, and Mental Health: Current Advances and Ethical Implications What are health-related users tweeting? A qualitative content analysis of health-related users and their messages on twitter Ethical issues in using Twitter for public health surveillance and research: developing a taxonomy of ethical concepts from the research literature.Interoperability of Information Systems Managed and Used by the Local Health Departments Influenza detection and prediction algorithms: comparative accuracy trial in Östergötland county, Sweden, 2008-2012.Point-of-Care Diagnostics: Recent Developments in a Connected Age.Enhancing Surveillance for Mass Gatherings: The Role of Syndromic Surveillance.An Ontology to Improve Transparency in Case Definition and Increase Case Finding of Infectious Intestinal Disease: Database Study in English General Practice.Identifying personal health experience tweets with deep neural networks.Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis.Online Health Monitoring using Facebook Advertisement Audience Estimates in the United States: Evaluation Study.Using Social Media to Generate and Collect Primary Data: The #ShowsWorkplaceCompassion Twitter Research Campaign.Identifying Methods for Monitoring Foodborne Illness: Review of Existing Public Health Surveillance Techniques.Understanding the spatio-temporal characteristics of Twitter data with geotagged and non-geotagged content: two case studies with the topic of flu and Ted (movie)

P2860

Q26700027-161F3621-94C7-44F4-8548-2C1C29A06997 Q28604223-398889AB-6F09-4CB9-B205-5D1A79080AAB Q28607135-DB1264DD-F16B-4363-93AA-8959E88D85F9 Q28649751-25000016-5DDB-4597-B2C5-BE0CD5CC957F Q28654339-CACA1B15-7ADC-433F-A406-ACC6C9BBB2E7 Q31044501-6A0BA054-5E15-4547-B458-76B5E848095A Q31067977-F4D32BD2-4DAA-4FE0-99C3-F000AB08818C Q34458347-73F157DA-31C3-40B9-B9AE-B538767AAABC Q34850534-76707604-429C-4C3C-AA0C-A1FA5057EFD8 Q37309545-6091AADE-318A-4BA3-8F17-946D66EA1A83 Q38782166-D44B53FB-F1A5-48C0-A850-EE0A307F0642 Q39037361-D1DE1AB6-2804-47CD-9FBF-21C8BCEF35E4 Q40141726-D7A64839-C5B1-45EA-A03C-7442D40483C0 Q41993241-C4310F25-7D3F-44F9-B950-6DDF01DDBDCB Q42698370-1D8F4D51-A1B2-41C7-BE5E-71C4B903F9C7 Q47742198-5935D74F-ED08-4277-9D58-647ABB2EFAD9 Q51415475-BB29F07D-1D81-4EB9-A332-61742DCD90ED Q52568775-91B456C8-A213-448D-9CED-180987CC470A Q55455101-DB87E5AF-3F1B-41BB-9ACA-47A8BCC1C107 Q57411872-715C74E4-B305-4E07-817D-1024718596C7

P2860

Detecting disease outbreaks in mass gatherings using Internet data

http://www.wikidata.org/entity/Q28655920

description

2014 nî lūn-bûn

@nan

2014 թուականի Յունիսին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի հունիսին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年学术文章

@wuu

2014年学术文章

@zh-cn

2014年学术文章

@zh-hans

2014年学术文章

@zh-my

2014年学术文章

@zh-sg

2014年學術文章

@yue

name

Detecting disease outbreaks in mass gatherings using Internet data

@ast

Detecting disease outbreaks in mass gatherings using Internet data

@en

Detecting disease outbreaks in mass gatherings using Internet data

@nl

type

label

Detecting disease outbreaks in mass gatherings using Internet data

@ast

Detecting disease outbreaks in mass gatherings using Internet data

@en

Detecting disease outbreaks in mass gatherings using Internet data

@nl

prefLabel

Detecting disease outbreaks in mass gatherings using Internet data

@ast

Detecting disease outbreaks in mass gatherings using Internet data

@en

Detecting disease outbreaks in mass gatherings using Internet data

@nl

P1433

Q28655920-BD08B77F-BE80-4D7B-93A6-CA33412BDDD7

P1476

Q28655920-8D933750-ED05-41FA-A1AA-AAEAA3AEF37C

P2093

Q28655920-120BF4EA-7293-4106-9ACA-ACBB3A68E831

Q28655920-ADD5EBA2-8D13-43FF-9D45-E9A1754651FC

P2860

Q28655920-04E9C5A6-C832-4E43-B10E-5C29C24EFC9E

Q28655920-05E38599-D990-4F84-9061-58C2FC784512

Q28655920-078A4343-150C-44F3-9FC8-0E153B3280F3

Q28655920-150B6F37-9A26-4913-8EAD-8A6A7985C60B

Q28655920-1A7E12DF-5D95-4F4D-ABC8-8996D37B1CC4

Q28655920-1D82F624-602E-4DCA-AF7D-5308C9C0C6FE

Q28655920-1F5639FE-7D8B-475E-96AF-CCC8596B87ED

Q28655920-26CF9E40-DC92-4A95-A1B0-3E285D85CA02

Q28655920-2963ABDD-2B75-4876-A7E8-42C6B6D7778F

Q28655920-2D3FD34B-BFAE-47DC-B9EF-7ED6234FEC91

P304

Q28655920-DA66BB76-6920-4944-97E2-63F398077942

P31

Q28655920-CC1A925B-9CCE-4AA8-A019-4086978D106E

P3181

Q28655920-A38729BE-4DD9-49AD-A0DF-C409ABABA471

P356

Q28655920-2EC633DC-52DF-4319-A4AB-EBD3C8B0E0B2

P407

Q28655920-E0F0A4AE-547F-4ACC-87D3-6F82DC9E1E8F

P433

Q28655920-BE134E5B-7855-4D76-9BDA-20FD69FBC78A

P478

Q28655920-C68E974C-6EE2-47DD-B082-F47A99E10511

P50

Q28655920-6CDAC58B-1D04-4F98-8DA2-1B60CD07332A

Q28655920-DC1F018C-9C2F-463D-A168-0064A6B17E8D

P577

Q28655920-871D9CBF-5B1B-4FDC-B239-4450AB265DDB

P698

Q28655920-8E6D8112-79D7-43DB-93B0-BDF609A87845

P921

Q28655920-AEF74FA2-F2F5-4D6C-A5F2-77470A32C514

P932

Q28655920-8D927F1B-144A-4EB8-8DC2-37C9FFE8CAAB

P3181

P356

P1433

Journal of Medical Internet Research

P1476

Detecting disease outbreaks in mass gatherings using Internet data

@en

P2093

Diana Borsa

http://www.w3.org/2001/XMLSchema#string

Rachel A McKendry

http://www.w3.org/2001/XMLSchema#string

P2860

Updating the Accounts: Global Mortality of the 1918-1920 "Spanish" Influenza Pandemic

Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

Infodemiology: tracking flu-related searches on the web for syndromic surveillance

Updated guidelines for evaluating public health surveillance systems. Recommendations from the guidelines working group

Detecting influenza epidemics using search engine query data

Use of unstructured event-based reports for global infectious disease surveillance

The global health burden of infection-associated cancers in the year 2002

Using internet searches for influenza surveillance

Postmarket drug surveillance without trial costs: discovery of adverse drug reactions through large-scale analysis of web search queries

HealthMap: global infectious disease monitoring through automated classification and visualization of Internet media reports

P304

e154

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P3181

1927484

http://www.w3.org/2001/XMLSchema#string

P356

10.2196/JMIR.3156

http://www.w3.org/2001/XMLSchema#string

P407

P433

6

http://www.w3.org/2001/XMLSchema#string

P478

16

http://www.w3.org/2001/XMLSchema#string

P50

P577

2014-06-18T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

24943128

http://www.w3.org/2001/XMLSchema#string

P921

P932

4090384

http://www.w3.org/2001/XMLSchema#string