We discuss the spread of a piece of news in a population. This is modeled by SIR model of epidemic spread. The model can be reduced to a nonlinear differential equation for the number of people affected by the news of interest. The differential equation has an exponential nonlinearity and it can be approximated by a sequence of nonlinear differential equations with polynomial nonlinearities. Exact solutions to these equations can be obtained by the Simple Equations Method (SEsM). Some of these exact solutions can be used to model a class of waves associated with the spread of the news in a population. The presence of exact solutions allow to study in detail the dependence of the amplitude and the time horizon of the news waves on the wave parameters, such as the size of the population, initial number of spreaders of the piece of the news, transmission rate, and recovery rate. This allows for recommendations about the change of wave parameters in order to achieve a large amplitude or appropriate time horizon of the news wave. We discuss five types of news waves on the basis of the values of the transmission rate and recovery rate-types A, B, C, D, and E of news waves. In addition, we discuss the possibility of building wavetrains by news waves. There are three possible kinds of wavetrains with respect of the amplitude of the wave: increasing wavetrain, decreasing wavetrain, and mixed wavetrain. The increasing wavetrain is especially interesting, as it is connected to an increasing amplitude of the news wave with respect to the amplitude of the previous wave of the wavetrain. It can find applications in advertising, propaganda, etc.
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http://dx.doi.org/10.3390/e26010005 | DOI Listing |
Risk Anal
November 2024
Depatment of Media and Communication, LMU Munich, Munich, Germany.
Over the last years, infectious diseases have been traveling across international borders faster than ever before, resulting in major public health crises such as the Covid-19 pandemic. Given the rapid changes and unknown risks that mark such events, risk communication faces the challenge to raise awareness and concern among the public without creating panic. Drawing on the social amplification of risk framework-a concept that theorizes how and why risks are amplified or attenuated during the (1) transfer of risk information (by, for instance, news media) and (2) audiences' interpretation and perception of these information-we were interested in the portrayal of risk information and its impact on audiences' risk perception over the first wave of the Covid-19 pandemic in Germany.
View Article and Find Full Text PDFEur J Public Health
November 2024
Department of Health Services Administration, China Medical University, Taichung, Taiwan.
This study aims to provide an investigation of the containment and mitigation strategies encompassing the entirety of the pandemic in Taiwan. This descriptive, observational study used COVID-19 data from Taiwan, Japan, and South Korea, and analysed news releases from the Taiwanese health authority. Statistics provided evidence of outbreak severity through infection and mortality rates, while qualitative results from the document review offered insights on the actions taken by the government chronologically from 2 February 2020 to 31 December 2022.
View Article and Find Full Text PDFJ Stud Alcohol Drugs
October 2024
University of California San Francisco, School of Medicine and Center for Data to Discovery and Delivery Innovation, San Francisco VA Health Care System, 4150 Clement Street, San Francisco, CA 94121 (111A1), United States.
Objective: As more states legalize cannabis in the US, marketing from the cannabis industry and news coverage of cannabis have increased. Sources of information on cannabis can influence beliefs about risks and benefits. Yet, little is known about how the use and influence of specific sources of information have changed over time.
View Article and Find Full Text PDFFocusing on temperature extremes can galvanize policy changes but risks undercounting.
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