Bayesian heatmaps: probabilistic classification with multiple unreliable information sources by Simpson, E, Reece, S, Roberts, SJ

“…We demonstrate our method on two real-world problems from disaster response, showing how our approach reduces the amount of crowdsourced data required and can be used to generate valuable heatmap visualisations from SMS messages and satellite images.…”

Data disaster recovery model for the association of bureaux de change operators of Nigeria, ABCON Nigeria by Magira Tom, Abubakar

“…The data disaster recovery model has six phases which are disaster preparedness, disaster risk assessment, disaster prevention, disaster response, immediate disaster recovery and documentation and lesson learnt concurrently. …”
Get full text

Mapping near-real-time power outages from social media by Huina Mao, Gautam Thakur, Kevin Sparks, Jibonananda Sanyal, Budhendra Bhaduri

“…Social media, including Twitter, has become an important source for disaster response. Yet most studies focus on a very limited amount of geotagged data (approximately 1% of all tweets) while discarding a rich body of data that contains location expressions in text. …”
Get full text

Power outage and environmental justice in Winter Storm Uri: an analytical workflow based on nighttime light remote sensing by Jinwen Xu, Yi Qiang, Heng Cai, Lei Zou

“…In severe weather events, quickly identifying power outage impact zones and affected communities is crucial for informed disaster response. However, a lack of household-level power outage data impedes timely and precise assessments. …”
Get full text

Oil Spill Response Policies to Bridge the Perception Gap between the Government and the Public: A Social Big Data Analysis by Joungyoon Chun, Jeong-Hwan Oh, Choong-Ki Kim

“…Furthermore, through a multidisciplinary approach that combines social big data analysis methods with marine scientific research, it can contribute to creating a disaster response policy tailored to policy consumers.…”
Get full text

Pembelajaran Water Rescue sebagai Tanggap Awal Keselamatan Menghadapi Banjir bagi Karang Taruna Kecamatan Benjeng, Kabupaten Gresik by Yandika Fefrian Rosmi, Riga Mardhika, Santika Rentika Hadi, Ujang Rohman, Sumardi Sumardi, Ahmad Nuryadi

“…Benjeng District, which is a subscribed area for floods, naturally initiates knowledge and skills regarding disaster response. Based on this, the Physical Education Lecturer team of the University of PGRI Adibuana Surabaya carried out the activity as a lecturer task in the field of Higher Education Tri Dharma, namely Community Service. …”
Get full text

Multi-dimensional resilience: A quantitative exploration of disease outcomes and economic, political, and social resilience to the COVID-19 pandemic in six countries by Lauren J. Beesley, Paolo Patelli, Kimberly Kaufeld, Jon Schwenk, Kaitlyn M. Martinez, Travis Pitts, Martha Barnard, Ben McMahon, Sara Y. Del Valle

“…A comprehensive characterization of vulnerability can inform efforts to improve infrastructure and guide disaster response in the future. In this paper, we propose a data-driven framework for studying countries’ vulnerability and resilience to incident disasters across multiple dimensions of society. …”
Get full text

Applying Artificial Intelligence (AI) to improve fire response activities by Ray Hsienho Chang, Yan-Tsung Peng, Seongchul Choi, Changjie Cai

“…By connecting cameras to additional emergency management equipment (e.g., cameras in fire trucks and ambulances or drones), this research highlights how this technology can be broadly applied to various scenarios of disaster response, thus improving on-site incident fire command and enhancing personnel accountability on the fireground.…”
Get full text

Signal Novelty Detection as an Intrinsic Reward for Robotics by Martin Kubovčík, Iveta Dirgová Luptáková, Jiří Pospíchal

“…By incorporating autoencoder-based intrinsic rewards, robots could potentially become more dependable in autonomous operations like space or underwater exploration or during natural disaster response. This is because the system could better adapt to changing environments or unexpected situations.…”
Get full text

Local government response capacity to natural disasters in the Central Highlands Provinces, Vietnam by Nguyen Van Quang, Nguyen Hai Thanh

“…We propose that first of all, the government needs to have a system of timely guidance documents, the coordination between relevant agencies, secondly, that civil servants working in disaster response work must be capable, thirdly, the government must there should be publicity on how to respond, four is to limit the hot growth of projects such as hydroelectric projects, five is that the government must have a long-term master plan and sixth is to pay attention to livelihoods, education level of local ethnic people. …”
Get full text

Influencing Factors of Traditional Village Protection and Development from the Perspective of Resilience Theory by Xiangbin Wang, Quan Zhu

“…The research analysis shows that (1) resilience theory is applicable to the study of traditional village conservation and development, and has certain relevance and can effectively improve the response ability of traditional villages to uncertainty risks; (2) The framework of traditional village protection and development is based on landscape environmental protection, guaranteed by village industry development, and supported by other influencing factors (natural disaster response, social organization, and cultural heritage); (3) under the perspective of resilience theory, there are four models of traditional village conservation and development (JSC model, Z&C model, J&W model, and S&C model), which have good explanatory power and coverage and can address the real problems of different village types in a targeted manner.…”
Get full text

How Do Disaster Relief Nurses in Japan Perceive and Respond to Risks? A Cross-Sectional Study by Aki Nishikawa, Takumi Yamaguchi, Yumiko Yamada, Hideko Urata, Tetsuko Shinkawa, Yuko Matsunari

“…Understanding DRNs’ risk perceptions is crucial for effective disaster response preparedness and training. The study highlights the need to address these perceptions to ensure that DRNs are well prepared and supported in their roles. …”
Get full text

Building Disaster Resilient Tourism through Strengthening Disaster Management Strategies in Batu City by Editha Praditya, Yusuf Ali, Surachman Surjaatmadja, Rui Duarte, Firre An Suprapto, Herlina Juni Risma Saragih

“…This condition led to the involvement of the Indonesian National Armed Forces (TNI) in emergency disaster response operations.…”
Get full text

The Impact of China’s Biopolitical Approach to COVID-19 on Pets by Thomas William Whyke, Joaquin Lopez Mugica, Sadia Jamil, Aiqing Wang

“…The study concludes that China should consider adopting a standard operating procedure for pet care and rescue that includes pets in its humans-first disaster response and relief measures to develop a better and healthier national consciousness, fulfil the social needs of its citizens who value animal welfare, and strengthen its sense of national consciousness. …”
Get full text

Virtual reality and its applications in the process of leading military troops by George BUCĂȚA, Vasile Florin POPESCU, Cătălin CIOACĂ, Olivia COMȘA

“…The military is always looking for new and innovative ways to improve the readiness and effectiveness of its forces, and VR technology has the potential to provide realistic, immersive training experiences that can prepare soldiers for a wide range of situations, including combat, peacekeeping operations and disaster response. Additionally, VR can be used to simulate and test new equipment and tactics, as well as to rehearse missions before they are executed in the field. …”
Get full text

Building Damage Assessment Based on Siamese Hierarchical Transformer Framework by Yifan Da, Zhiyuan Ji, Yongsheng Zhou

“…The rapid and accurate damage assessment of buildings plays a critical role in disaster response. Based on pairs of pre- and post-disaster remote sensing images, effective building damage level assessment can be conducted. …”
Get full text

Preventing Unequal Health Outcomes in COVID-19: A Systematic Review of Past Interventions

“…However, given that we identified very few disparities-focused infectious disease intervention studies, we also included studies from the disaster response literature, which may not be as generalizable to the current context of COVID-19. …”
Get full text

Post-Disaster Temporary Shelters Distribution after a Large-Scale Disaster: An Integrated Model by Zahra Gharib, Reza Tavakkoli-Moghaddam, Ali Bozorgi-Amiri, Maziar Yazdani

“…The findings of this study can contribute to the growing body of knowledge about disaster management strategies and have implications for critical decision-makers involved in post-disaster response projects. Furthermore, this study provides valuable information for national decision-makers in countries with limited experience with disasters and where the destructive consequences of disasters on the built environment are increasing.…”
Get full text

Multi-dimensional resilience: A quantitative exploration of disease outcomes and economic, political, and social resilience to the COVID-19 pandemic in six countries. by Lauren J Beesley, Paolo Patelli, Kimberly Kaufeld, Jon Schwenk, Kaitlyn M Martinez, Travis Pitts, Martha Barnard, Ben McMahon, Sara Y Del Valle

“…A comprehensive characterization of vulnerability can inform efforts to improve infrastructure and guide disaster response in the future. In this paper, we propose a data-driven framework for studying countries' vulnerability and resilience to incident disasters across multiple dimensions of society. …”
Get full text

D2ANet: Difference-aware attention network for multi-level change detection from satellite imagery by Jie Mei, Yi-Bo Zheng, Ming-Ming Cheng

“…Abstract Recognizing dynamic variations on the ground, especially changes caused by various natural disasters, is critical for assessing the severity of the damage and directing the disaster response. However, current workflows for disaster assessment usually require human analysts to observe and identify damaged buildings, which is labor-intensive and unsuitable for large-scale disaster areas. …”
Get full text