Disaster Network Science: Research and Applications

Hossain, Liaquat; Feng, Shihui

doi:10.3389/fcomm.2016.00001

Cited by 3 publications

(5 citation statements)

References 42 publications

(46 reference statements)

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“…Back in 2016, The IMSS published an institutional guideline on response to disasters and emergencies (11). It includes certain actions to take into account for preparedness for a mass disaster, in accordance to other international guidelines (6,22).…”

Section: The Response To Disaster According To Guidelinesmentioning

confidence: 99%

“…It should also adhere to the basic ethical codes that confirm the veracity and reliability of the information gathered and broadcasted. It is important to be clear about who is the recipient of the message, and to make sure that the content is clear (11). In the September earthquake in Mexico City, Twitter was the most used social capacity -so that the main health centers do not diminish their capacity-the size, location, and number of casualties.…”

Section: Recommendations For Efficient Disaster Response: the Role Ofmentioning

confidence: 99%

“…However, there are limitations to this approach, for instance the risk of infrastructural damage may render these means of communication as inoperable; it may also be quite difficult to reach vulnerable or isolated communities with this method. For this reason, it is important to have alternatives and to diversify our means of communication for such cases (11,29,30).…”

Section: Recommendations For Efficient Disaster Response: the Role Ofmentioning

confidence: 99%

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Collegiate neurosurgery in disaster and mass medical emergencies: lessons learned from mexico.

Ramos-Zúñiga

Arellano-Contreras²,

Rochin-Mozqueda³

et al. 2018

Turkish Neurosurgery

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their occurrence may rise through the years. For this reason, efforts like the creation of the world atlas of natural disaster risk, which maps the distribution of specific disaster hazards worldwide, help to improve policies, and local actions (27). During the year 2013, natural disasters and social conflicts affected about 148.2 million people (8). The United Nations reported on the devastating consequences of unpredictable, unpreventable, and impersonating disasters. Over the last two decades, these events had an economic impact of around 2 █ INTRODUCTION A disaster is a natural or human-generated event that seriously disrupts the functioning of society in a sudden way, causing human, material, and ecosystem losses (Table I). It also creates a significant short-term increase in the demand for emergency services, requiring extraordinary measures to address the situation that tendsto fall short because demand generally exceeds responsiveness (10). No community is exempt of incidents classified as disasters, and Every year, natural or people-generated disasters disrupt the functioning of society, causing human, and material loses, which lead to an increase in the demand for medical attention. In the morning of September 19, 2017, a 7.1-magnitude earthquake struck Mexico City and four other cities, leaving around 19 million people affected and 331 dead. Although the medical response was timely, most of the efforts fell short because demand exceeded responsiveness. This incident evidenced the challenges that we have as caregivers with mass medical emergency, and the need for direct and well-structured interventions of professional-medical associations in the immediate response, on both in-site and in-hospital settings. The aim of this paper is to analyze how we respond to these medical emergencies and what new strategies have been proposed in order to identify the weaknesses and areas of improvement, as well as to restructure our methods of emergency intervention. We searched all the information in both official institutional and social media with a public sanitary scope. We submitted this information to a descriptive qualitative analysis and compared with official information and management. We found an important role for social media as a means of communication and civil organization. Collegiate medical societies, such as neurosurgeons, showed a limited reach, little on-site intervention, and poor use of social media and other strategies to improve the response. Finally, we propose how we may approach these mass medical emergencies in a better way, taking advantage of new technologies and strategies.

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Section: The Response To Disaster According To Guidelinesmentioning

confidence: 99%

Section: Recommendations For Efficient Disaster Response: the Role Ofmentioning

confidence: 99%

Section: Recommendations For Efficient Disaster Response: the Role Ofmentioning

confidence: 99%

See 1 more Smart Citation

Collegiate neurosurgery in disaster and mass medical emergencies: lessons learned from mexico.

Ramos-Zúñiga

Arellano-Contreras²,

Rochin-Mozqueda³

et al. 2018

Turkish Neurosurgery

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“…In the field of disaster communication, social network analysis are often used to understand the dynamics of such communication and they are based on the analyses of data or big data ( Hossain and Feng, 2016 ; Kano et al, 2016 ). Differently, another way to extensively investigate stress contagion is to use the same concept of networks with social simulation ( Guo and Kapucu, 2015 ).…”

Section: Complex System and The Analyses Of Stress As Emergent Phenommentioning

confidence: 99%

Computational Psychometrics for Modeling System Dynamics during Stressful Disasters

et al. 2017

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Disasters can be very stressful events. However, computational models of stress require data that might be very difficult to collect during disasters. Moreover, personal experiences are not repeatable, so it is not possible to collect bottom-up information when building a coherent model. To overcome these problems, we propose the use of computational models and virtual reality integration to recreate disaster situations, while examining possible dynamics in order to understand human behavior and relative consequences. By providing realistic parameters associated with disaster situations, computational scientists can work more closely with emergency responders to improve the quality of interventions in the future.

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“…The graphs, better known as networks, focus on the interactions between entities (Newman, 2014), and they have the potential to infer relationships within a larger framework (Hossain & Feng, 2016;Luke & Stamatakis, 2012). A network is capable of emphasizing the preferred union as a process (Hartonen & Annila, 2011) and capturing both the individual elements in a system as well as their relevant interconnections (Kolaczyk & Csardi, 2014).…”

Section: Introductionmentioning

confidence: 99%

Viral networks and detection of potential zoonotic viruses in bats and rodents: A worldwide analysis

Nieto-Rabiela

Wiratsudakul

Suzán

et al. 2019

Zoonoses and Public Health

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Bats and rodents are recognized to host a great diversity of viruses and several important viral zoonoses, but how this viral diversity is structured and how viruses are connected, shared and distributed among host networks is not well understood. To address this gap in knowledge, we compared the associative capacity of the host–virus networks in rodents and bats with the identification of those viruses with zoonotic potential. A virus database, detected by molecular methods, was constructed in the two taxonomic groups. We compiled 5,484 records: 825 in rodents and 4,659 in bats. We identified a total of 173 and 166 viruses, of which 53 and 40 are zoonotic viruses, in rodents and bats, respectively. Based on a network theory, a non‐directed bipartite host–virus network was built for each group. Subsequently, the networks were collapsed to represent the connections among hosts and viruses. We identified both discrete and connected communities. We observed a greater degree of connectivity in bat viruses and more discrete communities in rodents. The Coronaviridae recorded in bats have the highest values of degree, betweenness and closeness centralities. In rodents, higher degree positions were distributed homogeneously between viruses and hosts. At least in our database, a higher proportion of rodent viruses were zoonotic. Rodents should thus not be underestimated as important reservoirs of zoonotic disease. We found that viruses were more frequently shared among bats than in rodents. Network theory can reveal some macroecological patterns and identify risks that were previously unrecognized. For example, we found that parvovirus in megabats and Gbagroube virus in rodents may represent a zoonotic risk due to the proximity to humans and other zoonotic viruses. We propose that epidemiological surveillance programmes should consider the connectivity of network actors as a measure of the risks of dispersion and transmission.

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Disaster Network Science: Research and Applications

Cited by 3 publications

References 42 publications

Collegiate neurosurgery in disaster and mass medical emergencies: lessons learned from mexico.

Collegiate neurosurgery in disaster and mass medical emergencies: lessons learned from mexico.

Computational Psychometrics for Modeling System Dynamics during Stressful Disasters

Viral networks and detection of potential zoonotic viruses in bats and rodents: A worldwide analysis

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