What Drives Job Search? Evidence from Google Search Data

2011 ◽  
Author(s):  
Scott R. Baker ◽  
Andrey Fradkin
Keyword(s):  
Job Search ◽  
Search Data ◽  
Google Search

scholarly journals Tracking U.S. Pertussis Incidence: Correlation of Public Health Surveillance and Google Search Data Varies by State

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Christopher H. Arehart ◽  
Michael Z. David ◽  
Vanja Dukic
Keyword(s):  
Public Health ◽  
Linear Models ◽  
State Level ◽  
Individual State ◽  
Control And Prevention ◽  
Search Data ◽  
State Models ◽  
Uniform Manner ◽  
Google Search ◽  
The U.S

AbstractThe Morbidity and Mortality Weekly Reports of the U.S. Centers for Disease Control and Prevention document a raw proxy for counts of pertussis cases in the U.S., and the Project Tycho (PT) database provides an improved source of these weekly data. These data are limited because of reporting delays, variation in state-level surveillance practices, and changes over time in diagnosis methods. We aim to assess whether Google Trends (GT) search data track pertussis incidence relative to PT data and if sociodemographic characteristics explain some variation in the accuracy of state-level models. GT and PT data were used to construct auto-correlation corrected linear models for pertussis incidence in 2004–2011 for the entire U.S. and each individual state. The national model resulted in a moderate correlation (adjusted R2 = 0.2369, p < 0.05), and state models tracked PT data for some but not all states. Sociodemographic variables explained approximately 30% of the variation in performance of individual state-level models. The significant correlation between GT models and public health data suggests that GT is a potentially useful pertussis surveillance tool. However, the variable accuracy of this tool by state suggests GT surveillance cannot be applied in a uniform manner across geographic sub-regions.

scholarly journals Future orientation and fertility: cross-national evidence using Google search

2020 ◽  
Author(s):  
Nicolò Cavalli
Keyword(s):  
Web Search ◽  
Future Orientation ◽  
Fertility Rates ◽  
Fertility Decisions ◽  
Country Level ◽  
The World ◽  
Search Data ◽  
Quality Framework ◽  
Google Search ◽  
Cross National

Using digital traces to investigate demographic behaviours, I leverage in this paper aggregated web search data to develop a Future Orientation Index for 200 countries and territories across the world. This index is expressed as the ratio of Google search volumes for ‘next year’ (e.g., 2021) to search volumes for ‘current year’ (e.g., 2020), adjusted for country-level internet penetration rates. I show that countries with lower levels of future orientation also have higher levels of fertility. Fertility rates decrease quickly as future orientation levels increase; but at the highest levels of future orientation, this correlation flattens out. Theoretically, I reconstruct the role that varying degrees of future orientation might play in fertility decisions by incorporating advances in behavioural economics into a traditional quantity-quality framework à la Becker.

scholarly journals Interest in COVID-19 in Latin America and the Caribbean: an infodemiological study using Google Trends

2021 ◽  
Vol 37 (10) ◽  
Author(s):  
Carlos Jesús Aragón-Ayala ◽  
Julissa Copa-Uscamayta ◽  
Luis Herrera ◽  
Frank Zela-Coila ◽  
Cender Udai Quispe-Juli
Keyword(s):  
Latin America ◽  
Response Time ◽  
Latin American ◽  
Google Trends ◽  
Public Attention ◽  
Search Data ◽  
The Caribbean ◽  
Global And Local ◽  
Google Search ◽  
Latin American And Caribbean

Infodemiology has been widely used to assess epidemics. In light of the recent pandemic, we use Google Search data to explore online interest about COVID-19 and related topics in 20 countries of Latin America and the Caribbean. Data from Google Trends from December 12, 2019, to April 25, 2020, regarding COVID-19 and other related topics were retrieved and correlated with official data on COVID-19 cases and with national epidemiological indicators. The Latin American and Caribbean countries with the most interest for COVID-19 were Peru (100%) and Panama (98.39%). No correlation was found between this interest and national epidemiological indicators. The global and local response time were 20.2 ± 1.2 days and 16.7 ± 15 days, respectively. The duration of public attention was 64.8 ± 12.5 days. The most popular topics related to COVID-19 were: the country’s situation (100 ± 0) and coronavirus symptoms (36.82 ± 16.16). Most countries showed a strong or moderated (r = 0.72) significant correlation between searches related to COVID-19 and daily new cases. In addition, the highest significant lag correlation was found on day 13.35 ± 5.76 (r = 0.79). Interest shown by Latin American and Caribbean countries for COVID-19 was high. The degree of online interest in a country does not clearly reflect the magnitude of their epidemiological indicators. The response time and the lag correlation were greater than in European and Asian countries. Less interest was found for preventive measures. Strong correlation between searches for COVID-19 and daily new cases suggests a predictive utility.

Abstract T P273: Internet-Based Information Seeking Behavior for Transient Ischemic Attack

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Vida Abedi ◽  
Marieme Mbaye ◽  
Georgios Tsivgoulis ◽  
Shailesh Male ◽  
Nitin Goyal ◽  
...  
Keyword(s):  
United States ◽  
Transient Ischemic Attack ◽  
Information Seeking ◽  
Media Coverage ◽  
Information Seeking Behavior ◽  
Online Search ◽  
Seeking Behavior ◽  
Search Data ◽  
Ischemic Attack ◽  
Google Search

Background &Purpose: In recent years, Internet became an increasingly important tool for accessing health information and is being used more frequently to promote public health. In this study, we used Google search data to explore information seeking behavior for transient ischemic attack (TIA). Methods: We selected two groups of keywords related to TIA -“Transient Ischemic Attack” and “Mini Stroke” - after examining several related search keywords. We obtained all available online search data performed in the United States from the Google search engine for a ten year span - January 2004 to December 2013. The monthly and daily search data for the selected keywords were analyzed - using a moving window strategy - to explore the trends, peaks and declining effects. Results: There were three significant concurrent peaks in the Google search data for the selected keywords. Each peak was directly associated with media coverage and news headlines related to the incident of TIA in a public figure. (Figure 1) Following each event, it took an average of two weeks for the search trend to return to its respective average value. The trend was steady for “Transient Ischemic Attack”; however, the search interest for the keyword “mini stroke” shows a steady increase. The overall search interest for the selected keywords was significantly higher in the southeastern United States. Conclusions: Our study shows that changes in online search behavior can be associated with media coverage of key events (in our case TIA) in public figures. These findings suggest that online health promotion campaigns might be more effective if increased promptly after similar media coverage.

scholarly journals The Informational Value of Job-Search Data and the Dynamics of Search Behaviour

2002 ◽  
Vol 52 (4) ◽  
pp. 399-419 ◽  
Author(s):  
John Micklewright ◽  
Gyula Nagy
Keyword(s):  
Job Search ◽  
Labour Force ◽  
Market Analysis ◽  
Search Behaviour ◽  
Search Data ◽  
Behaviour Changes ◽  
Job Finding ◽  
The Relationship ◽  
Informational Value

Labour-market analysis places much emphasis on the concept of search. But there is insufficient empirical information on (a) the relationship between reported job-search and job-finding and (b) how search behaviour changes over a spell without work. We investigate these issues using a sample constructed from Hungarian labour-force survey panel data of the flow from jobs to the state of “joblessness”. The results on job exits call into question aspects of the standard international classification of “unemployment”and being “out of the labour force”. Transitions during joblessness in and out of search and among the various categories of non-search are found to be only modest.

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