Social Media Use in Emergency Response to Natural Disasters: A Systematic Review With a Public Health Perspective

Muniz-Rodriguez, Kamalich; Ofori, Sylvia K.; Bayliss, Lauren; Schwind, Jessica S; Diallo, Kadiatou; Liu, Manyun; Yin, Jingjing; Chowell, Gerardo; Fung, Isaac Chun-Hai

doi:10.1017/dmp.2020.3

Cited by 55 publications

(48 citation statements)

References 57 publications

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“…With the ubiquity of mobile devices and low-cost sensors, we are now capable of collecting various types of data from individual users at an unprecedented scale, including mobile phone location data (for reviews, see refs. 10 and 11 ), satellite imagery data ( 12 ), and social media data ( 13 ), which have been leveraged for numerous disaster recovery and resilience applications. In particular, recent studies have used mobile phone location data to analyze and quantify disaster recovery trajectories, such as the population displacement patterns after the Nepal earthquake in 2015 ( 14 ), migration patterns in regions stressed by climate shocks in Bangladesh ( 15 ), and evacuation behavior after several earthquakes in Japan ( 16 ).…”

Section: Measuring Recovery Trajectories Using Big Datamentioning

confidence: 99%

Toward data-driven, dynamical complex systems approaches to disaster resilience

Yabe

Rao

Cutter

2022

Proc. Natl. Acad. Sci. U.S.A.

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With rapid urbanization and increasing climate risks, enhancing the resilience of urban systems has never been more important. Despite the availability of massive datasets of human behavior (e.g., mobile phone data, satellite imagery), studies on disaster resilience have been limited to using static measures as proxies for resilience. However, static metrics have significant drawbacks such as their inability to capture the effects of compounding and accumulating disaster shocks; dynamic interdependencies of social, economic, and infrastructure systems; and critical transitions and regime shifts, which are essential components of the complex disaster resilience process. In this article, we argue that the disaster resilience literature needs to take the opportunities of big data and move toward a different research direction, which is to develop data-driven, dynamical complex systems models of disaster resilience. Data-driven complex systems modeling approaches could overcome the drawbacks of static measures and allow us to quantitatively model the dynamic recovery trajectories and intrinsic resilience characteristics of communities in a generic manner by leveraging large-scale and granular observations. This approach brings a paradigm shift in modeling the disaster resilience process and its linkage with the recovery process, paving the way to answering important questions for policy applications via counterfactual analysis and simulations.

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Section: Measuring Recovery Trajectories Using Big Datamentioning

confidence: 99%

Toward data-driven, dynamical complex systems approaches to disaster resilience

Yabe

Rao

Cutter

2022

Proc. Natl. Acad. Sci. U.S.A.

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“…Although most reviewed papers focused on message content, there was also a persistent theme of recommending a dialogue to exist between authorities and the public that allows relevant questions to be answered when possible [18,48]. Repetition has also been shown to increase retention of advice [46].…”

Section: Optimising Disaster Communicationmentioning

confidence: 99%

“…Communities were shown to use a combination of traditional media sources (television, radio, newspapers, and telephone calls) and non-traditional media sources (Twitter and Facebook) when receiving disaster information [10][11][12][13][14][15][16][17][18][19][20][21]. Social media allows for a real-time dialogue to exist between authorities providing information and the public, a concept that has been reviewed favourably in the literature [18,48]. Despite the rise of social media platforms in recent years, there is still high utilisation of traditional media forms (especially radio); highlighting the importance of continuing to use traditional media alongside non-traditional sources in future, to ensure that all aspects of the community are catered for [16].…”

Section: Communication During Bushfiresmentioning

confidence: 99%

Efficacy of Communication Techniques and Health Outcomes of Bushfire Smoke Exposure: A Scoping Review

Heaney

Hunter

Clulow

et al. 2021

IJERPH

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Public health officials communicate the relevant risks of bushfire smoke exposure and associated health protection measures to affected populations. Increasing global bushfire incidence in the context of climate change motivated this scoping review. English-language publications related to adverse health outcomes following bushfire smoke exposure and publications relating to communication during natural disasters were included. Bushfire smoke events potentially increase healthcare contact, especially presentations triggered by respiratory illness. At-risk populations include those with underlying cardiorespiratory disease, elderly, paediatric, pregnant persons, and First Nations people. We found that social media, television, and radio are among the most common information sources utilised in bushfire smoke events. Message style, content, and method of delivery can directly influence message uptake and behaviour modification. Age, rurality, and geographical location influence information source preferences. Culturally and linguistically diverse groups and those with hearing, vision, and mobility-related disabilities may benefit from targeted health recommendations. This review emphasises the health effects of bushfire smoke exposure and related communication recommendations during and after bushfire smoke events. Additional investigation may further clarify the health effects of bushfire smoke exposure and efficacy of related health messaging, particularly in at-risk populations. Quantitative comparison of communication methods may yield more specific recommendations for future bushfire smoke events.

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“…While we have seen a rapid increase of the usage of mobile phone location data, there are several other types of data that have been used frequently in disaster management, including satellite imagery (for a review article, see 14 ) and social media data (for review articles, see 12,122 ). Satellite imagery, despite its low frequency of data collection, enables the observation of damages to the natural and built environments in a detailed spatial scale.…”

Section: Fusion With Other Data Sourcesmentioning

confidence: 99%

Mobile Phone Location Data for Disasters: A Review from Natural Hazards and Epidemics

Yabe¹,

Jones²,

Rao³

et al. 2021

Preprint

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Rapid urbanization and climate change trends are intertwined with complex interactions of various social, economic, and political factors. The increased trends of disaster risks have recently caused numerous events, ranging from unprecedented category 5 hurricanes in the Atlantic Ocean to the COVID-19 pandemic. While regions around the world face urgent demands to prepare for, respond to, and to recover from such disasters, large-scale location data collected from mobile phone devices have opened up novel approaches to tackle these challenges. Mobile phone location data have enabled us to observe, estimate, and model human mobility dynamics at an unprecedented spatio-temporal granularity and scale. The COVID-19 pandemic has spurred the use of mobile phone location data for pandemic and disaster response. However, there is a lack of a comprehensive review that synthesizes the last decade of work leveraging mobile phone location data and case studies of natural hazards and epidemics. We address this gap by summarizing the existing work, and pointing promising areas and future challenges for using data to support disaster response and recovery.With population growth in many of the developing countries and concentration of resources and opportunities in urban areas, many cities around the world are experiencing rapid urbanization. The United Nations, Department of Economic and Social Affairs (UN DESA) estimates that by 2050, 68% of the people in the world is projected to be living in cities, compared to 55% in 2018 1 . In addition to rapid urbanization, continued anthropogenic emissions of greenhouse gases will cause further changes in the climate system, increasing the likelihood of severe and pervasive climate related hazards, including hurricanes, tropical cyclones, river floods, heat waves, and droughts 2 . Taken together, rapid urbanization and climate change, combined with complex interactions of various social, economic, and political factors, have increased and could further increase the risks of disasters across the globe. For example, urbanization could lead to more population living in vulnerable locations to hazards, and more frequent disasters could widen the economic gap due to disproportionate impacts, which could then lead to political divide and instability. A "disaster" is a condition or event that leads to an unstable and dangerous situation for human society, and covers a wide range of shocks, including climate related hazards such as hurricanes, non-climate related natural hazards such as earthquakes and epidemics including COVID-19. Regions around the world need to urgently prepare for, respond to, and to recovery from these multitude of disasters for sustainable development.The pervasiveness of mobile devices (mobile phones, smartphones) across the globe has opened up massive opportunities to collect large-scale location data from individual users at an unprecedented scale compared to previous approaches (see Figure 1 for number of publications on human mobility and mobile phone data). Human mo...

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Social Media Use in Emergency Response to Natural Disasters: A Systematic Review With a Public Health Perspective

Cited by 55 publications

References 57 publications

Toward data-driven, dynamical complex systems approaches to disaster resilience

Toward data-driven, dynamical complex systems approaches to disaster resilience

Efficacy of Communication Techniques and Health Outcomes of Bushfire Smoke Exposure: A Scoping Review

Mobile Phone Location Data for Disasters: A Review from Natural Hazards and Epidemics

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