Marburg Virus Outbreak and a New Conspiracy Theory: Dataset of Search Interests from 216 Regions

Citation Author(s):
Nirmalya
Thakur
Emory University
Shuqi
Cui
Emory University
Kesha A.
Patel
Emory University
Nazif
Azizi
Emory University
Victoria
Knieling
Emory University
Changhee
Han
Emory University
Audrey
Poon
Emory University
Rishika
Shah
Emory University
Submitted by:
Nirmalya Thakur
Last updated:
Sun, 11/19/2023 - 13:03
DOI:
10.21227/jm5y-e993
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Abstract 

Please cite the following paper when using this dataset:

N. Thakur, S. Cui, K. A. Patel, N. Azizi, V. Knieling, C. Han, A. Poon, and R. Shah, “Marburg Virus Outbreak and a New Conspiracy Theory: Findings from a Comprehensive Analysis and Forecasting of Web Behavior,” Journal of Computation, Vol. 11, Issue. 11, Article. 234, Nov. 2023, DOI: http://dx.doi.org/10.3390/computation11110234

Abstract

During virus outbreaks in the recent past, web behavior mining, modeling, and analysis have served as means to examine, explore, interpret, assess, and forecast the worldwide perception, readiness, reactions, and response linked to these virus outbreaks. The recent outbreak of the Marburg Virus disease (MVD), the high fatality rate of MVD, and the conspiracy theory linking the FEMA alert signal in the United States on 4 October 2023 with MVD and a zombie outbreak, resulted in a diverse range of reactions in the general public which has transpired in a surge in web behavior in this context. This resulted in “Marburg Virus” featuring in the list of the top trending topics on Twitter on 3 October 2023, and “Emergency Alert System” and “Zombie” featuring in the list of top trending topics on Twitter on 4 October 2023. So, this dataset presents the search interests related to MVD and this conspiracy theory originating from 216 regions. 

Instructions: 

For each region, this dataset presents the search-interest data as a separate data file. Each data file contains three attributes that represent the time (in an hourly format), the search interests related to MVD, and the search interests related to zombies. These second and third attributes are named as per the data file. For instance, in the data file named “United States”, the data originating from the United States is available. The first attribute in this data file is “Time”, which represents the hourly information. The second attribute in this data file is “zombie: (United States)”, which represents the search interests related to zombies originating from the United States. The third attribute in this data file is “marburg virus: (United States)”, which represents the search interests related to MVD originating from the United States. In a similar manner, in the data file named “Canada”, the data originating from Canada is available. The first attribute in this data file is “Time”, which represents the hourly information. The second attribute in this data file is “zombie: (Canada)”, which represents the search interests related to zombies originating from Canada. The third attribute in this data file is “marburg virus: (Canada)”, which represents the search interests related to MVD originating from Canada

Data Descriptor Article DOI: