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Learning from Tweets: Opportunities and Challenges to Inform Policy Making During Dengue Epidemic

Published: 29 May 2020 Publication History

Abstract

Social media platforms are widely used by people to report, access, and share information during outbreaks and epidemics. Although government agencies and healthcare institutions in developed regions are increasingly relying on social media to develop epidemic forecasts and outbreak response, there is a limited understanding of how people in developing regions interact on social media during outbreaks and what useful insights this dataset could offer during public health crises. In this work, we examined 28,688 tweets to identify public health issues during dengue epidemic in Bangladesh and found several insights, such as irregularities in dengue diagnosis and treatment, shortage of blood supply for Rh negative blood groups, and high local transmission of dengue during Eid-ul-Adha, that impact disease preparedness and outbreak response. We discuss the opportunities and challenges in analyzing tweets and outline how government agencies and healthcare institutions can use social media health data to inform policy making during public health crises.

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  • (2024)COVID-19 and figures of blame: Discursive representations of blame for COVID-19 and its impacts in UK online newsDiscourse & Communication10.1177/17504813231219458Online publication date: 5-Feb-2024
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  1. Learning from Tweets: Opportunities and Challenges to Inform Policy Making During Dengue Epidemic

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    cover image Proceedings of the ACM on Human-Computer Interaction
    Proceedings of the ACM on Human-Computer Interaction  Volume 4, Issue CSCW1
    CSCW
    May 2020
    1285 pages
    EISSN:2573-0142
    DOI:10.1145/3403424
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 29 May 2020
    Published in PACMHCI Volume 4, Issue CSCW1

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    Author Tags

    1. bangladesh
    2. blood donation
    3. dengue
    4. epidemic
    5. hci4d
    6. health policy
    7. outbreak
    8. public health crisis
    9. twitter

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    • (2024)Use of digital tools in arbovirus surveillance: a scoping review (Preprint)Journal of Medical Internet Research10.2196/57476Online publication date: 17-Feb-2024
    • (2024)Perspectives and challenges in developing and implementing integrated dengue surveillance tools and technology in Thailand: a qualitative studyPLOS Neglected Tropical Diseases10.1371/journal.pntd.001238718:8(e0012387)Online publication date: 14-Aug-2024
    • (2024)COVID-19 and figures of blame: Discursive representations of blame for COVID-19 and its impacts in UK online newsDiscourse & Communication10.1177/17504813231219458Online publication date: 5-Feb-2024
    • (2024)“It’s Like Living a Different Life, Going to the Moon”: Rethinking Space and Activity in the Context of COVID-19Computer Supported Cooperative Work (CSCW)10.1007/s10606-024-09493-yOnline publication date: 24-May-2024
    • (2023)A Framework for Designing Fair Ubiquitous Computing SystemsAdjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing10.1145/3594739.3610677(366-373)Online publication date: 8-Oct-2023
    • (2023)Exploring Temporal and Multilingual Dynamics of Post-Disaster Social Media Discourse: A Case of Fukushima Daiichi Nuclear AccidentProceedings of the ACM on Human-Computer Interaction10.1145/35794847:CSCW1(1-24)Online publication date: 16-Apr-2023
    • (2023)Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health SurveillanceProceedings of the ACM Web Conference 202310.1145/3543507.3583877(3928-3936)Online publication date: 30-Apr-2023
    • (2023)The role of social media in public health crises caused by infectious disease: a scoping reviewBMJ Global Health10.1136/bmjgh-2023-0135158:12(e013515)Online publication date: 28-Dec-2023
    • (2023)Estimating mobility of tourists. New Twitter-based procedureHeliyon10.1016/j.heliyon.2023.e137189:2(e13718)Online publication date: Feb-2023
    • (2022)Network Structure and Community Evolution Online: Behavioral and Emotional Changes in Response to COVID-19Frontiers in Public Health10.3389/fpubh.2021.8132349Online publication date: 11-Jan-2022
    • Show More Cited By

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