Pacific Disaster Center

Simple SummaryTo our knowledge, this is the first study to address both sleep duration and psychological stress in association with GC risk. Long sleep was associated with gastric cancer, and its subsites and histological types, and stress increased the risk of noncardia cancer in particular. The two exposures exerted an independent effect on GC. These findings contribute to providing evidence for the role of sleep and stress in gastric cancer epidemiology.The association between sleep and stress and cancer is underinvestigated. We evaluated these factors in association with gastric cancer (GC). Five case-control studies from the Stomach Cancer Pooling (StoP) Project were included. We calculated the odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) for sleep duration and stress level in association with GC through multiple logistic regression models adjusted for several lifestyle factors. The analysis included 1293 cases and 4439 controls, 215 cardia and 919 noncardia GC, and 353 diffuse and 619 intestinal types. Sleep duration of ≥9 h was associated with GC (OR =1.57, 95% CI = 1.23–2.00) compared to 8 h. This was confirmed when stratifying by subsite (noncardia OR = 1.59, 95% CI = 1.22–2.08, and cardia OR = 1.63, 95% CI = 0.97–2.72) and histological type (diffuse OR = 1.65, 95% CI = 1.14–2.40 and intestinal OR = 1.24, 95% CI = 0.91–1.67). Stress was associated with GC (OR = 1.33, 95% CI = 1.18–1.50, continuous). This relationship was selectively related to noncardia GC (OR = 1.28, 95% 1.12–1.46, continuous). The risk of diffuse (OR = 1.32, 95% CI = 1.11–1.58) and intestinal type (OR = 1.23, 95% CI = 1.07–1.42) were higher when stress was reported. Results for the association between increasing level of stress and GC were heterogeneous by smoking and socioeconomic status (p for heterogeneity = 0.02 and <0.001, respectively). In conclusion, long sleep duration (≥9 h) was associated with GC and its subtype categories. Stress linearly increased the risk of GC and was related to noncardia GC.

The results of a nationwide survey of state and local agencies conducted in 2020 are summarized to understand priorities for improving transportation emergency management (EM) and resilience. Questions on EM activities, policies, and operations were answered by 190 respondents from across the country. In addition to comparing responses across transportation, EM, and other organizations (law enforcement, public works, health, environmental services, etc.), differences are analyzed based on agency size, location, experience, and hazard exposure. Respondents were also asked to prioritize EM activities for additional funding. Capabilities such as Emergency Planning, Traffic Control, Response Teams, and Situational Awareness emerge as priority areas. Approximately 60 percent of transportation agencies report updates of EM plans within the last 5 years compared to 70 percent of EM and 38 percent among other agencies. Four general linear models (GLMs) are developed and tested to determine the attributes of respondents who support improvements in (1) planning, (2) communications, (3) collaboration, and (4) transformation of agencies. An evaluative framework for measuring and managing resilience is developed and tested based on the responses. The analysis reveals diverse EM experiences, capabilities, and priorities, providing insight into future directions for sustaining and improving transportation resilience.

More than 680 million people live in low-lying coastal areas susceptible to climate change and flooding (IPCC 2019). The Jean and Zohmah Charlot House is a historic residence in Honolulu, located in a flood-prone neighborhood, that provides a powerful case study on preservation, planning, hazard mitigation, retrofitting and adaptive design of historic structures. The research, learning and engagement among diverse stakeholders supports resilient placemaking and preservation of treasured community assets. The home is listed on National and State registries of historic properties. The Historic Hawaiʻi Foundation partnered with the University of Hawai‘i (UH) to identify research methods for addressing climate resilience and develop and test engagement strategies, which included virtual workshops to develop a hazard mitigation plan for the property. An interdisciplinary team of faculty members, professionals, and students: i) identified hazards; ii) documented site vulnerabilities; iii) mapped and analyzed hazards and mitigation strategies; iv) reviewed literature and evaluated mitigations; v) engaged subject matter experts to support assessment of strategies; vi) developed and shared alternatives that were compiled and disseminated among stakeholders. The research team forged new relationships by including subject matter experts from landscape architecture, planning, emergency management, engineering, insurance, law and environmental sciences.Participants joined in three 1.5 hour virtual workshops to identify hazards, mitigation strategies, and review plans. Technologies including 360 degree imagery and ArcGIS StoryMap enhanced the virtual workshop. Based on feedback from the workshops, the Disaster Mitigation Plan illustrates, annotates, and ranks strategies for risk reduction and future policy and research needs. This university-led collaboration is a model for engaging planners, architects, landscape architects, preservationists, engineers, lawyers, and insurance agents on the challenges of preservation and hazard risk reduction. The rapid, three-part planning process using all-virtual, all-volunteer participants provides a low cost approach for subject matter expert engagement and focused knowledge-sharing on resilience strategies that can be applied and implemented for other endangered properties and scaled up to address broader neighborhood, watershed, and regional impacts from climate change and extreme events.

Based on a survey of stakeholders from 34 municipalitiesin Puerto Rico 1 year following HurricaneMaria, this study reports on progress and prioritiesfor longer-term recovery. Following a description ofthe storm and its impacts and an overview of recoveryprinciples, initial insights expressed after the stormare studied. Over 56 percent of respondents rankedthe need for equity considerations as the top recoverypriority, while 23 percent ranked building back faster,and 11 percent supported building back stronger as thetop priority. Building back greener was the top recoverygoal for 10 percent of the respondents. In addition tobroad recovery goals, specific actions and initiatives tosupport recovery are also investigated. While the needsfor more robust data collection and information sharingemerged, gaps in training and capacity buildingwere also reported. The analysis sheds light on the needfor more participatory, deliberative processes, and thechallenges of leadership, management, and inclusivegovernance following large-scale disasters. The findingsare relevant to other island communities and thedevelopment of effective systems for disaster recovery.

The consumption of processed meat has been associated with noncardia gastric cancer, but evidence regarding a possible role of red meat is more limited. Our study aims to quantify the association between meat consumption, namely white, red and processed meat, and the risk of gastric cancer, through individual participant data meta-analysis of studies participating in the "Stomach cancer Pooling (StoP) Project". Data from 22 studies, including 11,443 cases and 28,029 controls, were used. Study-specific odds ratios (ORs) were pooled through a two-stage approach based on random-effects models. An exposure-response relationship was modeled, using one and two-order fractional polynomials, to evaluate the possible nonlinear association between meat intake and gastric cancer. An increased risk of gastric cancer was observed for the consumption of all types of meat (highest vs. lowest tertile), which was statistically significant for red (OR: 1.24; 95% CI: 1.00-1.53), processed (OR: 1.23; 95% CI: 1.06-1.43) and total meat (OR: 1.30; 95% CI: 1.09-1.55). Exposure-response analyses showed an increasing risk of gastric cancer with increasing consumption of both processed and red meat, with the highest OR being observed for an intake of 150 g/day of red meat (OR: 1.85; 95% CI: 1.56-2.20). This work provides robust evidence on the relation between the consumption of different types of meat and gastric cancer. Adherence to dietary recommendations to reduce meat consumption may contribute to a reduction in the burden of gastric cancer.

Smoking has been associated with acquisition and increased persistence of Helicobacter pylori infection, as well as with lower effectiveness of its eradication. A greater prevalence of infection among smokers could contribute to the increased risk for gastric cancer. We aimed to estimate the association between smoking and seropositivity to H. pylori through an individual participant data pooled analysis using controls from 14 case-control studies participating in the Stomach Cancer Pooling Project. Summary odds ratios and prevalence ratios (PRs), adjusted for age, sex and social class, and the corresponding 95% confidence intervals (CIs) were estimated through random-effects meta-analysis. Heterogeneity was quantified using the I statistic and publication bias with Egger's test. There was no significant association between smoking (ever vs. never) and H. pylori seropositivity (adjusted odds ratio = 1.08; 95% CI: 0.89-1.32; adjusted PR = 1.01; 95% CI: 0.98-1.05). The strength of the association did not increase with the intensity or duration of smoking; stratified analyses according to sex, age, region or type of sample did not yield a consistent pattern of variation or statistically significant results, except for participants younger than 55 years and who had been smoking for more than 30 years (adjusted PR = 1.08; 95% CI: 1.02-1.15). This is the first collaborative analysis providing pooled estimates for the association between smoking and H. pylori seropositivity, based on detailed and uniform information and adjusting for major covariates. The results do not support an association between smoking and H. pylori infection.

Abstract The impact of different vertical structures of a nearby monsoon gyre (MG) on a tropical cyclone (TC) track is investigated using idealized numerical simulations. In the experiment with a relatively deeper MG, the TC experiences a sharp northward turn at a critical point when its zonal westward-moving speed slows down to zero. At the same time, the total vorticity tendency for the TC wavenumber-1 component nearly vanishes as the vorticity advection by the MG cancels the vorticity advection by the TC. At this point, the TC motion is dominated by the beta effect, as in a no-mean-flow environment, and takes a sharp northward turn. In contrast, the TC does not exhibit a sharp northward turn with a shallower MG nearby. In the case with a deeper MG, a greater relative vorticity gradient of the MG promotes a quicker attraction between the TC and MG through the vorticity segregation process. In addition, a larger outer size of the TC also favors a faster westward propagation from its initial position, thus having more potential to collocate with the MG. Once the coalescence is in place, the Rossby wave energy dispersion associated with the TC and MG together is enhanced and rapidly strengthens the southwesterly flow on the eastern flank of both systems. The steering flow from both the beta gyre and the Rossby wave dispersion leads the TC to take a sharp northward track when the total vorticity tendency is at its minimum. This study indicates the importance of good representations of the TC structure and its nearby environmental flows in order to accurately predict TC motions.

Input datasets for annualized earthquake loss (AEL) estimation for California were updated recently by the scientific community, and include the National Seismic Hazard Model (NSHM), site‐response model, and estimates of shear‐wave velocity. Additionally, the Federal Emergency Management Agency’s loss estimation tool, Hazus, was updated to include the most recent census and economic exposure data. These enhancements necessitated a revisit to our previous AEL estimates and a study of the sensitivity of AEL estimates subjected to alternate inputs for site amplification. The NSHM ground motions for a uniform site condition are modified to account for the effect of local near‐surface geology. The site conditions are approximated in three ways: (1) by V S 30 (time‐averaged shear‐wave velocity in the upper 30 m) value obtained from a geology‐ and topography‐based map consisting of 15 V S 30 groups, (2) by site classes categorized according to National Earthquake Hazards Reduction Program (NEHRP) site classification, and (3) by a uniform NEHRP site class D. In case 1, ground motions are amplified using the Seyhan and Stewart (2014) semiempirical nonlinear amplification model. In cases 2 and 3, ground motions are amplified using the 2014 version of the NEHRP site amplification factors, which are also based on the Seyhan and Stewart model but are approximated to facilitate their use for building code applications. Estimated AELs are presented at multiple resolutions, starting with the state level assessment and followed by detailed assessments for counties, metropolitan statistical areas (MSAs), and cities. AEL estimate at the state level is ∼$3.7 billion, 70% of which is contributed from Los Angeles–Long Beach–Santa Ana, San Francisco–Oakland–Fremont, and Riverside–San Bernardino–Ontario MSAs. The statewide AEL estimate is insensitive to alternate assumptions of site amplification. However, we note significant differences in AEL estimates among the three sensitivity cases for smaller geographic units.