Local Preparedness Research Articles

Leveraging 3D Printing for Resilient Disaster Management in Smart Cities

This work explores the transformative impact of 3D printing technology and disaster management within the context of smart cities. By evaluating various 3D printing technologies, such as desktop and large-scale printers, this research highlights their application in rapidly producing customized structures and essential supplies infrastructure components. Methods included the review of existing technologies, practical application in disasters scenarios. and the analysis of community engagement programs that enhance local preparedness and resilience through 3D printing. Case studies illustrate the significant benefits of integrating 3D printing technologies in disaster management. Findings indicate that while 3D printing offers rapid production and efficiency, disabilities such as high initial cost, regulatory issues, and the need for skilled operators must be addressed. This study concludes that with strategic collaboration and investment in the education and regulatory frameworks, 3D printing can significantly enhance urban resilience and sustainability, making it an invaluable tool for future smart cities. This research underscores the potential of 3D printing to significantly aid disaster management practices, fostering more adaptive and efficient urban environments.

Local level health preparedness for adverse weather: a review of Community Risk Registers in England

Local level health preparedness for adverse weather: a review of Community Risk Registers in England

Tropical Cyclone Intensity Prediction Using BP-RNN From GPS-Derived Precipitable Water Vapor and Surface Meteorological Data

Abstract Tropical cyclones frequently threaten tropical coastal areas, making accurate prediction vital. While cyclone track forecasting has improved, predicting cyclone intensity remains challenging. This study uses precipitable water vapor (PWV) and other surface meteorological data to predict wind intensity during tropical cyclone Seroja in southern Indonesia. Data from two GPS stations, CKUP and CRTE, near the cyclone’s path, were analyzed. We employed neural network (NN) algorithms to model nonlinear relationships between variables, utilizing backpropagation to minimize error. The NN was fed with time series data across various hour window sizes (0h, 6h, 9h, and 12h), under the assumption that current parameters influence future conditions. Independent variables included PWV, ZTD, partial pressure of water vapor, temperature, and air pressure, with additional attributes implemented in multiple scenarios. Two years of data (2019-2020) were used to train the model, and wind velocities were estimated during cyclone Seroja. At CKUP, scenario 1 with a 9h window size achieved a probability of detection (POD) of 89% and a critical success index (CSI) of 84%. At CRTE, scenario 4 with a 6h window size achieved a POD of 73% and a CSI of 55%. The root mean square error for predicted wind speed was 1.32 m/s at CKUP and 2.08 m/s at CRTE. This study demonstrates the potential of integrating GPS and meteorological data to enhance cyclone intensity prediction, especially in cyclone-prone regions like Indonesia, offering a valuable contribution to local and global disaster preparedness.

Navigating sustainable transition processes at the local level: The case of Energy Island Bornholm

The paper examines local sustainable transition processes related to the introduction of large-scale sustainable energy infrastructure projects in peripheralized areas, with a specific focus on understanding their role and complex development considerations, potentials, and dilemmas. Experiences are reported from the Danish `Energy Island Bornholm´, where a 3,8 GW offshore wind farm field is planned, potentially presenting new, local business and innovation opportunities, whilst raising concerns about local preparedness and capacity levels when undertaking a host role in such a massive project. The empirical base consists of qualitative data (observations and interviews) from a local development project running 2022–2023. Findings are analysed and discussed based on theoretical insights from literature on sustainable transition and peripheralization processes, resulting in four analytical dimensions: Local economic opportunities and green paths; Demography and work force dilemmas; Democracy and involvement; Governance and capacity building. The paper urges more comprehensive, comparative, and critical place-specific research on transition processes.

Rhipicephalus simus ticks: new hosts for phleboviruses.

Ticks are widespread arthropods that transmit microorganisms of veterinary and medical significance to vertebrates, including humans. Rhipicephalus simus, an ixodid tick frequently infesting and feeding on humans, may play a crucial role in transmitting infectious agents across species. Despite the known association of many Rhipicephalus ticks with phleboviruses, information on R. simus is lacking. During a study in a riverine area in Lusaka Zambia, ten R. simus ticks were incidentally collected from the grass and bushes and subjected to metagenomic next generation sequencing (mNGS) in 2 pools of 5. Analysis detected a diverse microbial profile, including bacteria 82% (32/39), fungi 15.4% (6/39), and viruses 2.6% (1/39). Notably, viral sequence LSK-ZM-102022 exhibited similarity to tick phleboviruses, sharing 74.92% nucleotide identity in the RdRp gene and 72% in the NP gene with tick-borne phlebovirus (TBPV) from Greece and Romania, respectively. Its RNA-dependent RNA polymerase (RdRp) encoding region carried conserved RdRp and endonuclease domains characteristic of phenuiviridae viruses. Phylogenetic analysis positioned LSK-ZM-102022 in a distinct but lone lineage within tick phleboviruses basal to known species like brown dog tick phlebovirus and phlebovirus Antigone. Pair-wise genetic distance analysis revealed similar findings. This study emphasizes the urgency of further research on the ecology, transmission dynamics, and pathogenic potential of LSK-ZM-102022 and related TBPVs, crucial for local and global preparedness against emerging tick-borne diseases.

Coordination mechanisms applied to logistical systems for local disaster preparedness: a Latin American case

Purpose The study aims to present an agent-based simulation model (ABM) for exploring interorganizational coordination scenarios in local disaster preparedness. This approach includes local actors and logistical processes as agents to compare various strategic coordination mechanisms. Design/methodology/approach The ABM model, developed in the Latin American context, specifically focuses on a case study of Colombia. Three coordination mechanisms (centralized, decentralized and cluster-type) have been evaluated using three performance indicators: effectiveness, efficiency and flexibility. Findings Simulation results show that the decentralized scenario outperforms in terms of efficiency and flexibility. On the contrary, the centralized and cluster-type scenarios demonstrate higher effectiveness, achieving a greater percentage of requirements coverage during the disaster preparedness stage. The ABM approach effectively evaluates strategical coordination mechanisms based on the analyzed performance indicators. Research limitations/implications This study has limitations due to the application of results to a single real case. In addition, the focus of the study is primarily on a specific type of disaster, specifically hydrometeorological events such as flash floods, torrential rains and landslides. Moreover, the scope of decision-making is restricted to key actors involved in local-level disaster management within a municipality. Originality/value The proposed ABM model has the potential as a decision-making tool for policies and local coordination schemes for future disasters. The simulation tool could also explore diverse geographical scenarios and disaster types, demonstrating its versatility and broader applicability for further insights and recommendations.

Smart Green Concrete: Innovation of Concrete Materials from Fly ash Waste and Lapindo Mud Integrated Smart E. crassipes Coir Geotextile to Realize Indonesia's Sustainable Infrastructure

Pariaman City, situated near the Semangko fault and the Indo-Australian plate subduction zone, is highly prone to earthquakes and tsunamis. To address this, the Earthquake Buddy Application (EDY App) was developed as an innovative solution for disaster mitigation. EDY App utilizes Geographic Information Systems (GIS) to provide real-time earthquake vulnerability maps, early warnings, and evacuation route suggestions to Temporary Evacuation Sites (TES). It also offers education on earthquake preparedness and facilitates donations for relief efforts. The application’s main contribution lies in its integration of comprehensive disaster management tools into one platform. By providing critical information during emergencies, the app empowers users to make informed decisions, which can reduce casualties in high-risk areas. The app also encourages community preparedness by offering accessible education on earthquake mitigation. EDY App is designed to create a disaster-resilient society in Pariaman, ensuring that residents are better equipped to respond to natural disasters through real-time alerts and evacuation support, ultimately enhancing local preparedness and reducing the potential impact of future earthquakes.

Predictors of risk reduction behavior: Evidence in last-mile communities

Despite extensive research using Protection Motivation Theory (PMT) to analyze factors influencing protective behaviors during disasters, understanding how last-mile communities in vulnerable contexts—particularly in the Philippines—respond to early warning messages remains limited. This understanding is crucial, as these communities often bear the brunt of extreme weather events. Drawing data from surveys and semi-structured interviews, this study examined the predictors of risk reduction behaviors before and after Super Typhoon Mangkhut in two last-mile communities in Northern Philippines — Cabalitian and Mapita. Regression analysis demonstrated that all threat appraisal variables—perceived vulnerability, perceived severity, and fear—are predictors of risk reduction behaviors before Mangkhut. Coping appraisal variables, specifically response efficacy and self-efficacy, also positively influenced risk reduction action before Mangkhut. Among socio-demographic variables, only gender and age are predictors of risk reduction behaviors, with their influence varying between the two communities. Expanding the application of PMT, prior typhoon experience, trust, and social network strength also positively and significantly influenced risk reduction behaviors before and after Mangkhut. The study identified key infrastructural, institutional, and operational interventions to enhance coping capacity and reduce vulnerability in these communities, alongside policy implications to inform disaster risk reduction strategies and empower local preparedness efforts.

THE POPULATION OF MILA FACING THE EARTHQUAKE OF AUGUST 07, 2020

The surge in urbanization within regions vulnerable to seismic activity poses a significant escalation in seismic risks. Effective mitigation strategies, reliant on improved architectural practices and behavioral adaptations, are imperative to curtail the toll of seismic events. Seismic vulnerability, intricately intertwined with seismic hazard, building conditions, and populace preparedness, underscores the need for comprehensive risk assessment. Although studies elucidating seismic risk knowledge and behaviors are scant in Algeria, they are more prevalent in Mediterranean regions. This paper delves into the examination of risk culture, discerning both direct and indirect causative factors behind the seismic disaster that befell Mila on August 7, 2020.Employing a research methodology that integrates the method Did You Feel It (DYFI USGS ) with a survey model used in Beirut, Lebanon.The findings offer notable insights for two principal reasons. Firstly, local perceptions of the seismic event's severity surpassed estimates by the US Geological Survey (USGS). Secondly, despite the relatively minor magnitude of seismic effects in the El Kherba neighborhood, the populace displayed inadequate preparedness for future earthquakes. Additionally, site-specific factors exerted substantial influence on crisis outcomes. In this context, the preparedness of Algerian society for seismic risks depends on understanding the phenomenon, recognizing associated hazards, and identifying available resources. Contribution: this study serves as a pivotal resource for fostering proactive local population preparedness and mitigating natural risks. Furthermore, it seeks to augment the efficacy of policies aimed at managing natural disaster risks in Algeria.

Assessing Community Resilience to Flood Disasters: A Case Study of Temerloh, Pahang

Rapid urbanization and development have led to a significant number of Malaysians living in flood-prone areas, exacerbating the impact of natural disasters such as floods. This study aims to identify the factors influencing community resilience both before and after flood events in Temerloh, Pahang. Data were collected via questionnaires distributed to 350 flood victims. Key findings reveal that long-term residents exhibit higher resilience due to local knowledge and preparedness strategies. The study highlights the importance of integrating local experiences into flood management policies to enhance community resilience. The results reveal that large flood-prone areas experience frequent flooding, contributing to considerable community distress. This distress is somewhat alleviated by the support provided by government agencies and NGOs, which includes relief efforts, emergency services, and flood defense construction. Additionally, community involvement in flood management was found to have a statistically significant impact (p < 0.05). The study highlights the need for enhanced flood management strategies that address psychological aspects to reduce negative impacts on the community.

Readability and Suitability of Local Disaster Preparedness Materials in Predominantly Hispanic Border Communities: A Case Study of Cameron County, Texas

Abstract Community awareness is a key component of disaster resilience and numerous agencies developed a plethora of preparedness materials. Previous studies evaluated national-level resources and social media content indicating that these efforts are not effectively reaching vulnerable populations, as the information is provided at or above the secondary education level. However, the local-specific content has been mostly overlooked in the analyses, subsequently neglecting the needs of areas with specific demographics and hazards, like predominantly Hispanic border communities. Thus, this study turns to local preparedness and mitigation materials, rather than general internet searches or national level documents. We analyze information provided on 239 webpages of local authorities in Cameron county in the southernmost tip of Texas. We evaluate: 1) the availability of languages and visual materials, 2) the reading difficulty level, and 3) the suitability of content. Our results demonstrate the lack of suitable and readable information provided on the local authorities’ websites with the average readability level implying “difficult” to “very confusing”, and the average suitability score equivalent to “below average/adequate”. Moreover, the lack of Spanish-language content indicates an under-utilization of the otherwise vernacular language. We discuss those results in the socio-cultural context of the border community.

Local Government Units Disaster Preparedness and Response in the Province of Bulacan: Basis for Enhancement

Local Government Units Disaster Preparedness and Response in the Province of Bulacan: Basis for Enhancement

Post Flood Economic Challenges; Resilience and Rehabilitation Strategies With Thematic Analysis Approach. A Case of Larkana

Climate change has exacerbated the frequency and severity of floods, leading to devastating impacts worldwide. Pakistan has seen two catastrophic floods in recent years; at present, the full extent of the consequences of these calamities is still not fully acknowledged. Scarcity of water, rise in temperature, and floods are some cruel consequences that Pakistan has to bear. Floods may lead to huge economic problems not only for people in general but also for the communities. For instance, the condition of flooding in Larkana, which is the province where the agricultural activities are too much, could bring about financial and mental health problems. To tackle this research gap, this study implemented a qualitative research approach and conducted a thematic analysis to explore the economic challenges encountered in the Larkana region as a result of floods. Theme analysis is a method by which the researcher finds the sequential patterns in the data. Thus, the researcher is able to point out the issues that people face in reality. Resilient plans and rehabilitation measures can contribute to the solutions to these challenges, varying from immediate recovery to sustainable development. A multifaceted plan that encompasses immediate rescue operations and strengthening of resilience is a must. Social cohesion, environmental protection measures and governance issues are most relevant for the effective economic recovery after floods. The economic regeneration strategy in flood-prone areas must address complex issues to ensure local resilience and preparedness for the coming years.

Impact of Local Governments’ Disaster Preparedness Capability and Local Characteristics on Storm and Flood Damage Reduction: Focusing on Disaster Management Resource

This study empirically analyzes the impact of local governments' disaster preparedness capabilities and local characteristics on storm and flood damage. It considers the budget allocated by local governments for securing and managing disaster management resources as a disaster preparedness capability. Impervious area is used as a local characteristic. Disaster management resources are significant because they are built and utilized during preparedness, response, and recovery phases. Local characteristics should also be considered because of their influence on the impact of disasters. The results of this study indicate that the ratio of the disaster management resource budget affects the reduction of damage. The impact of the budget increases in areas with a relatively higher percentage of impervious area. Therefore, local governments must secure and manage disaster management resources as part of their disaster preparedness. This can be achieved by utilizing ordinances and plans.

The Sustainability of Ready to Drink Water: Local Government Preparedness in Malang, Indonesia

The Sustainability of Ready to Drink Water: Local Government Preparedness in Malang, Indonesia

The impact of policy and policy communication on COVID-19 vaccination inequalities among Venezuelan refugees and migrants in Colombia: a comparative cross-sectional interrupted time-series analysis

IntroductionEquitable access to vaccines for migrants and refugees is necessary to ensure their right to health and to achieve public health goals of reducing vaccine-preventable illness. Public health policies require...

Influence of Planning Tools on the Performance of a Disaster Management Project in Rwanda. A Case of Strengthening National and Local Disaster Risk Management Capacity, Resilience and Enhancing Preparedness and Early Warning System Project in Musanze District

Influence of Planning Tools on the Performance of a Disaster Management Project in Rwanda. A Case of Strengthening National and Local Disaster Risk Management Capacity, Resilience and Enhancing Preparedness and Early Warning System Project in Musanze District

Evaluation of a Targeted COVID-19 Community Outreach Intervention: Case Report for Precision Public Health.

Cameron County, a low-income south Texas-Mexico border county marked by severe health disparities, was consistently among the top counties with the highest COVID-19 mortality in Texas at the onset of the pandemic. The disparity in COVID-19 burden within Texas counties revealed the need for effective interventions to address the specific needs of local health departments and their communities. Publicly available COVID-19 surveillance data were not sufficiently timely or granular to deliver such targeted interventions. An agency-academic collaboration in Cameron used novel geographic information science methods to produce granular COVID-19 surveillance data. These data were used to strategically target an educational outreach intervention named "Boots on the Ground" (BOG) in the City of Brownsville (COB). This study aimed to evaluate the impact of a spatially targeted community intervention on daily COVID-19 test counts. The agency-academic collaboration between the COB and UTHealth Houston led to the creation of weekly COVID-19 epidemiological reports at the census tract level. These reports guided the selection of census tracts to deliver targeted BOG between April 21 and June 8, 2020. Recordkeeping of the targeted BOG tracts and the intervention dates, along with COVID-19 daily testing counts per census tract, provided data for intervention evaluation. An interrupted time series design was used to evaluate the impact on COVID-19 test counts 2 weeks before and after targeted BOG. A piecewise Poisson regression analysis was used to quantify the slope (sustained) and intercept (immediate) change between pre- and post-BOG COVID-19 daily test count trends. Additional analysis of COB tracts that did not receive targeted BOG was conducted for comparison purposes. During the intervention period, 18 of the 48 COB census tracts received targeted BOG. Among these, a significant change in the slope between pre- and post-BOG daily test counts was observed in 5 tracts, 80% (n=4) of which had a positive slope change. A positive slope change implied a significant increase in daily COVID-19 test counts 2 weeks after targeted BOG compared to the testing trend observed 2 weeks before intervention. In an additional analysis of the 30 census tracts that did not receive targeted BOG, significant slope changes were observed in 10 tracts, of which positive slope changes were only observed in 20% (n=2). In summary, we found that BOG-targeted tracts had mostly positive daily COVID-19 test count slope changes, whereas untargeted tracts had mostly negative daily COVID-19 test count slope changes. Evaluation of spatially targeted community interventions is necessary to strengthen the evidence base of this important approach for local emergency preparedness. This report highlights how an academic-agency collaboration established and evaluated the impact of a real-time, targeted intervention delivering precision public health to a small community.

Assessing US Small Animal Veterinary Clinic Adaptations and Their Impacts on Workforce COVID-19 Preparedness and Response.

Veterinary personnel are an essential yet often underappreciated workforce, critical for zoonotic disease prevention and response efforts that impact human health. During the early COVID-19 pandemic, the veterinary workforce supported emergency responses by promoting zoonotic disease risk communication, sharing animal health expertise, and boosting laboratory surge capacity against SARS-CoV-2 in animals and people. However, small animal veterinary workers (SAVWs), similar to healthcare workers, faced organizational challenges in providing clinical care to family pets, including those susceptible to SARS-CoV-2. We analyzed a cross-sectional survey of 1,204 SAVWs in the United States to assess veterinary clinic adaptations and their associations with SAVWs' self-perceived readiness, willingness, and ability to respond to the COVID-19 pandemic as a workforce. SAVWs who worked fewer hours than before the pandemic (ready, OR 0.59; willing, OR 0.66; able, OR 0.52) or used personal protective equipment less frequently for protection in the clinic (ready, OR 0.69; willing, OR 0.69; able, OR 0.64) felt less ready, willing, and able to respond to COVID-19. SAVWs working remotely felt less ready (OR 0.46) but not less willing or able to respond to COVID-19. Lastly, SAVWs with dependents felt less ready (OR 0.67) and able (OR 0.49) to respond to COVID-19 than SAVWs without dependents. Our findings highlight the importance of proactively managing work schedules, having access to personal protective equipment, and addressing caregiving concerns to enhance SAVW preparedness and response outcomes. SAVWs are knowledgeable, motivated personnel who should be integrated into local public health emergency preparedness and response plans, supporting a One Health framework that unites multidisciplinary teams to respond to future zoonotic disease threats.

Extreme Arctic Weather and Community Impacts in Nunavut: A Case Study of One Winter’s Storms and Lessons for Local Climate Change Preparedness

Abstract Arctic communities are experienced with severe weather, but impacts can still be serious, particularly when the intensity or persistence of hazardous conditions is extreme. Such was the case for the community of Clyde River (Kangiqtugaapik), Nunavut, Canada, which experienced 33 blizzard days during winter 2021/22—likely the most at Clyde River since at least 1978/79. Blizzard conditions resulted from unusually frequent high winds rather than excessive snowfall. The most severe stretch included eight blizzard days over an 11-day period, with top wind gusts of 98 km h−1. Winds caused severe drifting, covering homes and blocking streets. Broken heavy equipment, including snow-clearing machines, compounded the impacts, leaving homes without essential services like water delivery and sewage pump-out for days. Residents reported the storms and resulting impacts as some of the worst in memory. The drifting and volume of snow, combined with the lack of available resources to manage it, obliged the community to declare a state of emergency. Projections of increased Arctic precipitation and extreme weather events points to the need for communities to have proper resources and supports, including preparedness and adaptation and mitigation strategies, so they can be better equipped to handle storm and blizzard impacts such as those experienced at Clyde River in the winter of 2021/22. Additional steps that can be implemented to better support and prepare communities include investing in preparedness planning, expanded and enhanced weather information and services, community land-based programming to transfer Inuit knowledge and skills, assessing the usefulness of current forecasts, and new approaches to community planning. Significance Statement In this study, we consider the winter of 2021/22, during which the community of Clyde River (Kangiqtugaapik), Nunavut experienced 33 days with blizzard conditions—more than any other year since at least 1978/79. Blizzards are characterized by strong winds and blowing snow. Low visibility impedes travel, and drifting snow blocks roads and can bury equipment and buildings. In this case, broken snow-clearing equipment and other infrastructure challenges also hampered the community’s ability to respond, and residents went days without essential services. Several studies suggest that extreme winds will become more common in the Baffin Bay region in the future. This study demonstrates the need for proper resourcing of communities for preparedness, response, and adaptation strategies, especially with the possibility of extreme winter weather becoming more common.