Time-series analysis of the relationship between influenza-like illness and mortality due to respiratory and cardiovascular diseases in Hong Kong

2005 ◽  
Author(s):  
Siu-pik Lau
Keyword(s):  
Time Series ◽  
Hong Kong ◽  
Cardiovascular Diseases ◽  
Time Series Analysis ◽  
Influenza Like Illness ◽  
Series Analysis ◽  
The Relationship

scholarly journals The association between seasonal influenza-like illness cases and foetal death: a time series analysis

2018 ◽  
Vol 147 ◽  
Author(s):  
I. S. Rasmussen ◽  
L. H. Mortensen ◽  
T. G. Krause ◽  
A-M. Nybo Andersen
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Spontaneous Abortion ◽  
Seasonal Pattern ◽  
Influenza Virus Infection ◽  
Temporal Association ◽  
Spontaneous Abortions ◽  
Foetal Death ◽  
Influenza Like Illness ◽  
Series Analysis

AbstractIt has been reported that foetal death follows a seasonal pattern. Influenza virus infection has been postulated as one possible contributor to this seasonal variation. This ecological study explored the temporal association between the influenza activity and the frequency of foetal death. Time series analysis was conducted using weekly influenza-like illness consultation proportions from the Danish sentinel surveillance system and weekly proportions of spontaneous abortions and stillbirths from hospital registers from 1994 to 2009. The association was examined in an autoregressive (AR) integrated (I) moving average (MA) model and subsequently analysed with cross-correlation functions. Our findings confirmed the well-known seasonality in influenza, but also seasonality in spontaneous abortion. No clear pattern of seasonality was found for stillbirths, although the analysis exposed dependency between observations. One final AR integrated MA model was identified for the influenza-like illness (ILI) series. We found no statistically significant relationship between weekly influenza-like illness consultation proportions and weekly spontaneous abortion proportions (five lags: P = 0.52; 11 lags: P = 0.91) or weekly stillbirths (five lags: P = 0.93; 11 lags: P = 0.40). Exposure to circulating influenza during pregnancy was not associated with rates of spontaneous abortions or stillbirths. Seasonal variations in spontaneous abortion were confirmed and this phenomenon needs further investigation.

scholarly journals Market Response, Competitive Behavior, and Time Series Analysis

1980 ◽  
Vol 17 (4) ◽  
pp. 470-485 ◽  
Author(s):  
Dominique M. Hanssens
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Model Building ◽  
Competitive Reaction ◽  
Marketing Model ◽  
Series Analysis ◽  
Marketing Variables ◽  
Major Airlines ◽  
Market Variables ◽  
The Relationship

The author's principal objective is to present a framework for market analysis which specifically models primary demand, competitive reaction, and feedback effects of the market variables. The approach is an extension of earlier work by Clarke and by Lambin, Naert, and Bultez on the relationship among the elasticities of the marketing variables. The author develops this framework and formulates an approach for empirical applications based on principles of time series analysis. In particular, Granger's well-known causality definition is used in conjunction with Box-Jenkins analysis to find the nonzero elements in the marketing model. These principles are applied empirically to the case of a city pair of the U.S. domestic air travel market, where three major airlines compete on the basis of flight scheduling and advertising. The analysis reveals that flight scheduling has a market-expansive or a competitive effect, depending on the competitor, and that advertising does not have a significant impact on performance. In addition, several patterns of competitive reactions are found. The author offers observations on the theoretical and empirical aspects of this approach to marketing model building.

Television and protest in East Germany’s revolution, 1989–1990: A mixed-methods analysis

2014 ◽  
Vol 47 (1) ◽  
pp. 93-103 ◽  
Author(s):  
Marko Grdešić
Keyword(s):  
Time Series ◽  
Mixed Methods ◽  
Time Series Analysis ◽  
Qualitative Analysis ◽  
Event Data ◽  
Mixed Methods Approach ◽  
Series Analysis ◽  
East German ◽  
Television Coverage ◽  
The Relationship

This article uses a mixed-methods approach to analyze the relationship between television and protest during East Germany’s revolution. The content of television newscasts, both West German and East German, is analyzed together with protest event data. There are two key findings. First, West German coverage of protests is associated with an increase in protest in the first phase of the revolution. This finding emerges from time series analysis. Second, West German and East German television coverage were interacting, with the latter reacting to the former. This finding emerges from both quantitative and qualitative analysis.

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