scholarly journals A HEURISTIC MODEL FOR SPREAD OF COVID-19 INFECTION CASES IN INDIA

2020 ◽  
Author(s):  
Bishwajit Bhattacharjee
Keyword(s):  
Heuristic Model ◽  
Simple Heuristic ◽  
Reported Data ◽  
Spread Of Infection ◽  
The Web

AbstractA simple heuristic model for spread of COVID-19 infections in India is presented and compared with reported data up to April 10, 2020. Spread of infection is considered to be initiating from infected individuals and spread is assumed to take place in a compounding manner. Some of the data needed are taken from readily available sources in the web. The possible progress is then estimated based on model presented and possible scenarios are highlighted.

Digital News and the Consumption of Political Information

2019 ◽  
pp. 248-262
Author(s):  
Silvia Majó-Vázquez ◽  
Sandra González-Bailón
Keyword(s):  
The Internet ◽  
Digital Platforms ◽  
Demographic Groups ◽  
News Consumption ◽  
Novel Approach ◽  
Digital News ◽  
Filter Bubbles ◽  
Media Systems ◽  
Reported Data ◽  
The Web

The Internet has fundamentally changed how people access and use news. As Dutton and others (Chapter 13, this volume) note, there are concerns that the Internet leads us to get stuck in “echo chambers” or “filter bubbles”—limiting our access to points of view that might challenge our preexisting beliefs. This chapter introduces a network approach to analyzing news consumption in the digital age. The authors explain how we can compare patterns of news consumption across demographic groups, countries, and digital platforms, and determine if there are differences across groups of users and media systems. Measuring news consumption has long been difficult owing to the limitations of self-reported data, so this chapter is notable in offering a novel approach that leverages the digital traces that people leave behind when navigating the Web.

scholarly journals A Heuristic Model for Spreading of COVID 19 in Singapore

2020 ◽  
Author(s):  
Fook Hou Lee
Keyword(s):  
Scenario Planning ◽  
The State ◽  
Entire Population ◽  
Heuristic Model ◽  
Simple Heuristic ◽  
Specific Community ◽  
Over Time

ABSTRACTThis paper presents a simple heuristic model for COVID 19 spreading. The model is based on a propagation unit of time. The state of the epidemic at the end of the time unit is then related to that at the start through recurrence relationships. By propagating these relationships over the required number of time units, a projection can be made over time. The model is readily implemented on a spreadsheet and is therefore potentially widely accessible. It can serve as a useful tool for scenario planning and forecasting not just for an entire population, but also for a specific community within a population.

A simple heuristic model for injury prevention

2006 ◽  
Vol 15 (5) ◽  
pp. 763-777
Author(s):  
José A. Blanco ◽  
David W. Gillingham ◽  
John H. Lewko
Keyword(s):  
Injury Prevention ◽  
Heuristic Model ◽  
Simple Heuristic

Deciphering Dynamics of Recent Epidemic Spread and Outbreak in West Africa: The Case of Ebola Virus

2016 ◽  
Vol 26 (09) ◽  
pp. 1630024 ◽  
Author(s):  
Ranjit Kumar Upadhyay ◽  
Parimita Roy
Keyword(s):  
West Africa ◽  
Epidemic Model ◽  
Ebola Virus ◽  
Control Strategies ◽  
Contact Tracing ◽  
Reported Data ◽  
Manifold Theory ◽  
Spread Of Infection ◽  
Two Equilibria

Recently, the 2014 Ebola virus (EBOV) outbreak in West Africa was the largest outbreak to date. In this paper, an attempt has been made for modeling the virus dynamics using an SEIR model to better understand and characterize the transmission trajectories of the Ebola outbreak. We compare the simulated results with the most recent reported data of Ebola infected cases in the three most affected countries Guinea, Liberia and Sierra Leone. The epidemic model exhibits two equilibria, namely, the disease-free and unique endemic equilibria. Existence and local stability of these equilibria are explored. Using central manifold theory, it is established that the transcritical bifurcation occurs when basic reproduction number passes through unity. The proposed Ebola epidemic model provides an estimate to the potential number of future cases. The model indicates that the disease will decline after peaking if multisectorial and multinational efforts to control the spread of infection are maintained. Possible implication of the results for disease eradication and its control are discussed which suggests that proper control strategies like: (i) transmission precautions, (ii) isolation and care of infectious Ebola patients, (iii) safe burial, (iv) contact tracing with follow-up and quarantine, and (v) early diagnosis are needed to stop the recurrent outbreak.

Attributing Policy Influence under Coalition Governance

2020 ◽  
pp. 1-17
Author(s):  
DAVID FORTUNATO ◽  
NICK C. N. LIN ◽  
RANDOLPH T. STEVENSON ◽  
MATHIAS WESSEL TROMBORG
Keyword(s):  
Real World ◽  
Bargaining Power ◽  
Policy Making ◽  
Academic Research ◽  
Original Data ◽  
Heuristic Model ◽  
Policy Influence ◽  
Simple Heuristic ◽  
Informational Cues ◽  
Blind Spots

Abstract Coalition governance divides policy-making influence across multiple parties, making it challenging for voters to accurately attribute responsibility for outcomes. We argue that many voters overcome this challenge by inferring parties’ policy-making influence using a simple heuristic model that integrates a number of readily available and cheaply obtained informational cues about parties (e.g., their roles in government and legislative seat shares)—while ignoring other cues that, while predictive of real-world influence, are not suitable for heuristic inference (e.g., median party status and bargaining power). Using original data from seven surveys in five countries, we show that voters’ attributions of parties’ policy-making influence are consistent with our proposed inferential strategy. Our findings suggest that while voters certainly have blind spots that cause them to misattribute policy responsibility in some situations, their attributions are generally sensible and consistent with the academic research on multiparty policy making.

The impact of landfills on the air quality of towns: a simple heuristic model for the city of Palermo

2009 ◽  
Vol 36 (1/2/3) ◽  
pp. 287 ◽  
Author(s):  
Salvatore Barbaro ◽  
Angelo Bonanno ◽  
Maria Letizia Boscia ◽  
Gianfranco Rizzo ◽  
Salvatore Aronica
Keyword(s):  
Air Quality ◽  
Heuristic Model ◽  
Simple Heuristic ◽  
The Impact ◽  
The City

A Simple Heuristic Model of Nutrient Cycling in an Estuary

1993 ◽  
Vol 37 (2) ◽  
pp. 145-159 ◽  
Author(s):  
W.J. Kimmerer ◽  
S.V. Smith ◽  
J.T. Hollibaugh
Keyword(s):  
Nutrient Cycling ◽  
Heuristic Model ◽  
Simple Heuristic
Sign in / Sign up

Export Citation Format

Share Document