California Counties Research Articles

Policy interventions to address water security impacted by climate change: Adaptation strategies of three case studies across different geographic regions

Water shortage in terms of both physical and economic water scarcity is still a major issue globally. The looming climate change threat has increased the adverse threats to water security in different regions. However, policy solutions to water security vary in different geographical regions and at different scales (local, regional, national, etc.). Understanding the successes and challenges of different policy solutions is critical to scaling-up successful policies and addressing water security holistically. This paper aims to explore the effects of implementing policies at different scales in three different case study contexts: 1. two Counties in California in the USA, 2. the City of Cape Town in South Africa and 3. the Country of Bangladesh. These case studies highlight various implemented policies and their effectiveness in each context. We reviewed relevant research papers consisting of peer-reviewed journal articles, conference proceedings and gray literature using a content analysis approach based on keywords such as water scarcity, water shortage, climate change, policies, interventions and solutions. Based on this cross-case analysis, we present key strategies moving forward, including: reallocation of water based on different community and sector needs, the importance of stakeholders engagement and public awareness, and a need to implement both short and long-term management plans. There is no one-size fits all policy solution to water scarcity. Understanding the context, scale, and cultural environment will be a key to future water security-focused interventions and policies.

Review of considerations for restoration of tule elk to the San Francisco Peninsula and northern Monterey Bay counties of California

Successful translocations of tule elk (Cervus canadensis nannodes) have been conducted since the early 1900s, with their state population rising from a nadir of as few as three surviving individuals to about 500 when reintroductions began, and to over 5,700 by 2017. However, natural range expansion of extant populations is currently limited by heavily trafficked major highways and urban areas with dense human populations. We determined that the San Francisco Peninsula and northern Monterey Bay counties (the study area) offer 193,973 ha (479,308 acres) of protected open space, several orders of magnitude greater than coastal tule elk home range size. Habitat suitability is supported by abundant historical observer, museum, and archeological records of elk located in this region. The nearest elk population to the study area is in eastern Santa Clara County and has grown from 65 animals that were translocated to Mt. Hamilton in the Diablo Range from 1978–1981 to at least 90 in five–six separate herds counted by aerial and photographic surveys in 2019. United States (U.S.) Highway 101 and metropolitan San Jose remain barriers to western range extension. Translocation and/or construction of freeway over- and under-crossings may enable westward range expansion to a less arid region, contributing to increased resilience of tule elk to climate change, and bringing aesthetic, financial, and ecological benefits of this once native ungulate grazer to the area.

Effectiveness of Intramammary Antibiotics, Internal Teat Sealants, or Both at Dry-Off in Dairy Cows: Milk Production and Somatic Cell Count Outcomes.

Simple SummaryA block randomized trial was conducted in California dairies to evaluate the effect of different treatments at dry-off on the subsequent lactation’s milk production and somatic cell count (SCC). Greater milk production was observed in cows treated with antibiotics and teat sealants at dry-off in comparison to controls, while there was no significant difference in the milk produced by cows that received either antibiotic or teat sealant in comparison to the untreated cows. Different dry cow treatments were associated with a reduction in ln SCC during the first 150 DIM, with the greatest reduction associated with both antibiotic and teat sealant in comparison to controls. Dairies with high SCC may benefit from treating cows at dry-off with AB, TS, or both.Mastitis is the greatest disease challenge for dairy producers, with substantial economic impacts due to lost milk production. Amongst the approaches implemented to control and prevent mastitis on dairies are vaccination, pre- and post-milking teat dips, and treatments at dry-off including intramammary antibiotics and teat sealants. The objectives of our study were to evaluate the effect of different treatments at dry-off on the subsequent lactation’s milk production and somatic cell count (SCC). A single-blinded controlled block randomized clinical trial was conducted between December 2016 and August 2018 on eight herds from four of the top ten milk-producing counties in California: Tulare, Kings, Stanislaus, and San Joaquin. The trial was repeated with cows enrolled during the winter and summer seasons to account for seasonal variability. Eligible cows were treated at dry-off with either intramammary antibiotics (AB), internal teat sealant (TS), AB + TS, or did not receive any treatment (control), and were followed through 150 days in milk (DIM) post-calving. The milk production and SCC data were extracted from monthly test day milk records (Dairy Comp 305, Valley Ag Software, Tulare, CA, USA). Two-piece spline linear mixed models were used to model the milk production (kg) and natural logarithm-transformed SCC. After accounting for parity, breed, season, and dry period duration, the milk model showed a significant increase in milk production (1.84 kg/day) in cows treated with AB + TS at dry-off in comparison to controls. There was no significant difference in the milk produced by cows that received either AB or TS (0.12 kg/day, and 0.67 kg/day, respectively) in comparison to the untreated cows. Different dry cow treatments were associated with a significant reduction in ln SCC during the first 150 DIM. The greatest reduction was associated with using AB + TS, followed by AB, and finally TS in comparison to controls. Dairies with high SCC may benefit from treating cows at dry-off with AB, TS, or both.

Local monitoring of SARS-CoV-2 variants in two large California counties in 2021

Coronavirus Disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), continues to persist due to mutations resulting in newer, more infectious variants of concern. We aimed to leverage an ongoing private SARS-CoV-2 testing laboratory’s infrastructure to monitor SARS-CoV-2 variants in two large California counties. Study enrollment was offered to adults aged 18 years or older in Los Angeles County and Riverside County who recently tested positive for SARS-CoV-2 with a polymerase chain reaction (PCR) assay. A cycle threshold value less than or equal to 30 cycles was considered a positive test for sequencing purposes. Within 5 days of study enrollment, clinician-monitored, self-collected oral fluid and anterior nares swab specimens were obtained from participants. Specimens were transported and stored at 8 °C or cooler. Samples underwent ribonucleic acid extraction, library preparation, and sequencing. SARS-CoV-2 lineages were identified using sequencing data. Participant and genomic data were analyzed using statistical tools and visualized with toolkits. The study was approved by Advarra Institutional Review Board (Pro00053729). From May 27, 2021 to September 9, 2021, 503 individuals were enrolled and underwent specimen collection. Of the 503 participants, 238 (47.3%) participants were women, 329 (63.6%) participants were vaccinated, and 221 (43.9%) participants were of Hispanic or Spanish origin. Of the cohort, 496 (98.6%) participants had symptoms at the time of collection. Among the 503 samples, 443 (88.1%) nasal specimens and 353 (70.2%) oral specimens yielded positive sequencing results. Over our study period, the prevalence of the Alpha variant of SARS-CoV-2 decreased (initially 23.1% [95% confidence interval (95% CI): 0–0.49%] to 0% [95% CI 0.0–0.0%]) as the prevalence of the Delta variant of SARS-CoV-2 increased (initially 33.3% [95% CI 0.0–100.0%] to 100.0% [95% CI 100.0–100.0%]). A strain that carried mutations of both Delta and Mu was identified. We found that outpatient SARS-CoV-2 variant surveillance could be conducted in a timely and accurate manner. The prevalence of different variants changed over time. A higher proportion of nasal specimens yielded results versus oral specimens. Timely and regional outpatient SARS-CoV-2 variant surveillance could be used for public health efforts to identify changes in SARS-CoV-2 strain epidemiology.

Body Cameras and Adjudication: Views of Prosecutors and Public Defenders

The jury serves as an important reference point for criminal case processing, despite the fact that the majority of cases are disposed of by pleas or dismissals. This research examines the downstream impact of BWC footage on the adjudication process with a particular emphasis on the management of uncertainty. Research involved interviews with prosecutors and defense attorneys in urban counties in California, New York, and Texas. The results indicate that both defense and prosecution anticipate BWC changing approaches to cases and how cases may be negotiated to an outcome. They also report that jurors expect BWC footage, and that it functions as a means to establish case facts and the credibility of police, the defendant and witnesses. Policy implications regarding the introduction of BWC and future directions for research are discussed.

Seed germination responses of broomrape species (Phelipanche ramosa and Phelipanche aegyptiaca) to various sanitation chemicals

AbstractBranched broomrape, an obligate root parasitic weed, has recently re-emerged in tomato fields in several California counties. California produces more tomato than any other state, and the outbreak of this noxious weed could potentially wreak havoc on the industry’s economy. Preventive measures must be taken to stop or reduce the spread of branched broomrape seeds to other areas. Branched broomrape can produce thousands of tiny seeds, which can easily spread with farm machinery over short and long distances. To prevent branched broomrape seed dispersal, sanitation and disinfection of farm equipment are necessary before entering a new farm. We tested the effectiveness of various ammonium compounds, including didecyl dimethyl ammonium chloride (DDAC), alkyl dimethyl benzyl ammonium chloride (ADBC), didecyl dimethyl ammonium bromide (DDAB), ammonium bromide (AB), and ammonium chloride (AC) on prevention of branched broomrape seed germination. Dose-response analysis showed that three chemical products, ADBC, DDAB, and DDAC, could completely inhibit branched broomrape seeds (potentially making them nonviable) at 1%, 1%, and 10% wt/vol concentrations, respectively. These three compounds were further tested in an exposure duration experiment that additionally included Egyptian broomrape. Only 10 min of exposure to these compounds was needed to prevent germination of both branched and Egyptian broomrape seeds at 1% (ADBC, DDAB) and 10% wt/vol (DDAC). Lower concentrations can provide similar inhibition effects when combined with longer exposure times. Egyptian broomrape seeds were more sensitive than branched broomrape seeds. Findings suggest that quaternary ammonium compounds could be used as potential sanitation agents to disinfect agriculture machinery from branched and Egyptian broomrape seeds.

The Ediacaran−Cambrian transition in the southern Great Basin, United States

The Ediacaran−Cambrian boundary strata in the Great Basin of the southwestern United States record biological, geochemical, and tectonic change during the transformative interval of Earth history in which metazoans diversified. Here, we integrate new and compiled chemostratigraphic, paleontological, sedimentological, and stratigraphic data sets from the Death Valley region, the White-Inyo Ranges, and Esmeralda County in Nevada and California and evaluate these data within a regional geologic framework. A large negative carbon isotope (δ13C) excursion—also known as the Basal Cambrian Excursion, or BACE—is regionally reproducible, despite lateral changes in sedimentary facies and dolomitization across ∼250 km, consistent with a primary marine origin for this perturbation. Across the southern Great Basin, Ediacaran body fossils are preserved in a variety of taphonomic modes, including cast and mold preservation, two-dimensional compressional preservation, two-dimensional and three-dimensional pyritization, and calcification. The stratigraphic framework of these occurrences is used to consider the relationships among taphonomic modes for fossil preservation and paleoenvironmental settings within this basin. In this region, Ediacaran-type fossils occur below the nadir of the BACE, while Cambrian-type trace fossils occur above. Sedimentological features that include giant ooids, stromatolites, and textured organic surfaces are widespread and abundant within the interval that records biotic turnover and coincide with basaltic volcanism and the BACE. We hypothesize that the prevalence of these sedimentological features, the BACE, and the disappearance of some Ediacaran clades were caused by environmental perturbation at the Ediacaran-Cambrian boundary.

Systems Dynamics and the Analytical Network Process for the Evaluation and Prioritization of Green Projects: Proposal That Involves Participative Integration

This research proposes a methodology for evaluating and prioritizing green projects based on an integrated approach between system dynamics modeling and the analytical network process. The methodology is presented in three stages: First of all, we show the citizen factors and obtain the data from the zone through community participation. Then, in the second stage, the model of system dynamics is consolidated and calibrated, which allows the generation of relevant information for experts by simulating model variables. In the third stage, considering the dependency and feedback relationships of the system, the model is translated to a complex network of many opinions which makes the decision making through peer review easier. The application of the methodology is presented using a case study undertaken in the California county that belongs to the Magdalena region in Colombia. The results allow to conclude that the proposed methodology makes the evaluation process and the prioritization of the projects easier because it is possible to advise the experts with respect to the variables that maximize investments and based on this select environmental initiatives that maximize investments and the environmental, social, or economic initiatives that best respond to the needs of the community. Likewise, we can demonstrate that the methodology can be applied to any rural community adjusting parameters and calibration variables to reflect the new conditions, both for natural resources and for particular policies and actions in such a way that the most appropriate project can be selected.

Tuberculosis Diagnoses Following Wildfire Smoke Exposure in California.

Rationale: Wildfires are a significant cause of exposure to ambient air pollution in the United States and other settings. Although indoor air pollution is a known contributor to tuberculosis reactivation and progression, it is unclear whether ambient pollution exposures, including wildfire smoke, similarly increase risk. Objectives: To determine whether tuberculosis diagnosis was associated with recent exposure to acute outdoor air pollution events, including those caused by wildfire smoke. Methods: We conducted a case-crossover analysis of 6,238 patients aged ⩾15 years diagnosed with active tuberculosis disease between 2014 and 2019 in 8 California counties. Using geocoded address data, we characterized individuals' daily exposure to <2.5 μm-diameter particulate matter (PM2.5) during counterfactual risk periods 3-6 months before tuberculosis diagnosis (hazard period) and the same time 1 year previously (control period). We compared the frequency of residential PM2.5 exposures exceeding 35 μg/m3 (PM2.5 events) overall and for wildfire-associated and nonwildfire events during individuals' hazard and control periods. Measurements and Main Results: In total, 3,139 patients experienced 1 or more PM2.5 events during the hazard period, including 671 experiencing 1 or more wildfire-associated events. Adjusted odds of tuberculosis diagnosis increased by 5% (95% confidence interval, 3-6%) with each PM2.5 event experienced over the 6-month observation period. Each wildfire-associated PM2.5 event was associated with 23% (19-28%) higher odds of tuberculosis diagnosis in this time window, whereas no association was apparent for nonwildfire-associated events. Conclusions: Residential exposure to wildfire-associated ambient air pollution is associated with an increased risk of active tuberculosis diagnosis.

Racial Capitalism and Neighborhood Health Disparities: the COVID-19 in California Counties.

PurposeThis article explores the association between racial capitalism and neighborhood-level health disparities, with a particular focus on COVID-19 in California.MethodsThis article investigates COVID-19 incidence in 58 California counties. To account for racial capitalism, the study looks at the per capita incomes ratios (1) between whites and Blacks and (2) between whites and Hispanics. Other county-level neighborhood characteristics were controlled.ResultsFindings from spatial autoregressive models indicate that increases in white-Black and white-Hispanic income disadvantages lead to an increase in COVID-19 incidence in 58 California counties. Findings also reveal that the disadvantage that results from the white-Black income ratio in COVID-19 spread decreases in counties that report high levels of income inequality between whites and Hispanics.DiscussionFindings indicate that a greater income disadvantage for racial minorities is connected to a more COVID-19 incidence. With regard to racial demographics in California, the interaction effect between measures for racial income disadvantages is discussed.

Impact of fruit and vegetable benefits on pregnancy outcomes among WIC participants: a natural experiment.

Proper nutrition is critical for maternal and neonatal health. In January 2017, the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in San Francisco, California, began providing an additional $40 per month in fruit and vegetable (F&V) benefits to pregnant clients with the goal of improving food security and nutrition-related outcomes. We evaluated whether pregnant women on WIC who received this additional F&V benefit exhibited better perinatal and birth outcomes compared with those who received standard WIC benefits. We used 2010-2019 birth certificate data from the National Center for Health Statistics. The intervention group consisted of WIC participants living in San Francisco (SF) County (intervention county) and whose first trimester started after January 2017. We used a quasi-experimental synthetic control method to compare trends between the intervention and control groups (a weighted sample of other California counties that did not distribute additional F&V benefits). Outcomes included low birth weight, preterm birth, small-for-gestational-age, gestational diabetes, and gestational weight gain. No significant differences in maternal and neonatal outcomes among WIC recipients in SF and synthetic control group were observed after the F&V benefits were distributed. Prior studies have shown that additional F&V benefits have positive effects on maternal and infant outcomes, indicating that F&V vouchers are a promising strategy for supporting equitable health outcomes. Our null results suggest that more rigorous research is needed to determine their optimal dose and duration, especially in high-cost-of-living areas, and to examine more upstream and structural interventions.

Reduction in Door-to-Groin Puncture Time for Endovascular Treatment in Acute Ischemic Stroke Patients With Large Vessel Occlusion.

BackgroundThe outcome of mechanical thrombectomy for large vessel occlusion (LVO) in patients with acute ischemic stroke (AIS) is time-dependent. In the current stroke workflow, the pre-hospital delay is one of the most common reasons for an increase in door-to-groin puncture time (DGPT). In the present study, we sought to compare the difference in (DGPT) before and after the implementation of the Ventura Emergent Large Vessel Occlusion Score (VES) protocol for LVO.MethodsVES was implemented in the Ventura County of California by Emergency Medical Services (EMS). We performed a retrospective analysis to compare DGPT of patients undergoing endovascular treatment (EVT) pre- and post-VES implementation. Mean and standard deviation was reported for the continuous variable ‘time for intra-arterial (IA) treatment’ in minutes. The Mann-Whitney test was used for the comparison of the variable between the two groups. analyses were performed using SAS v9.4 (SAS Institute Inc., Cary, NC) with a significant p-value of ≤0.05.ResultsA total of 304 (males: 142 and females: 162) patients were alerted of the stroke code by the EMS. VES was positive in 139 patients. Of these, 64 (46%) were males and 75 (54%) were females. VES score of 1, 2, 3, and 4 were recorded in 57 (41%), 44 (31.6%), 31 (22.3%), and 7 (5%) patients, respectively. A total of 48 VES-positive patients underwent EVT. There were 62 patients who underwent EVT before the implementation of the VES protocol. The mean DGPT for the EVT among post-VES patients was 65 minutes, which was significantly (p=0.0009) shorter than the mean DGPT of 109 minutes among pre-VES patients.ConclusionVES is a simplified and effective tool for identifying LVO in the field. Implementation of VES showed significantly reduced DGPT in LVO patients.

Farm labor supply and fruit and vegetable production

AbstractThis study provides econometric estimates of the effects of reductions in farm labor supply on the production of hand‐harvested fruits and vegetables. Using crop production and employment data from California counties, we estimate panel regressions linking farm employment to crop production outcomes. Because we exploit variation in equilibrium employment, as opposed to exogenous variation in the labor supply curve, we use an equilibrium displacement model to identify the most likely sources of estimation bias and conclude that our regression estimates should be interpreted as upper bounds for the effect of interest. Our results indicate that a 10% decrease in the farm labor supply (in terms of the number of workers) causes at most a 4.2% reduction in production in the top 10 fruit and vegetable producing counties. Production effects are channeled primarily through a reduction in harvested acreage, although we also uncover some effects on yield.

Epidemiologic and environmental characterization of the Re-emergence of St. Louis Encephalitis Virus in California, 2015-2020.

St. Louis encephalitis virus (SLEV) is an endemic flavivirus in the western and southeastern United States, including California. From 1938 to 2003, the virus was detected annually in California, but after West Nile virus (WNV) arrived in 2003, SLEV was not detected again until it re-emerged in Riverside County in 2015. The re-emerging virus in California and other areas of the western US is SLEV genotype III, which previously had been detected only in Argentina, suggesting a South American origin. This study describes SLEV activity in California since its re-emergence in 2015 and compares it to WNV activity during the same period. From 2015 to 2020, SLEV was detected in 1,650 mosquito pools and 26 sentinel chickens, whereas WNV was detected concurrently in 18,108 mosquito pools and 1,542 sentinel chickens from the same samples. There were 24 reported human infections of SLEV in 10 California counties, including two fatalities (case fatality rate: 8%), compared to 2,469 reported human infections of WNV from 43 California counties, with 143 fatalities (case fatality rate: 6%). From 2015 through 2020, SLEV was detected in 17 (29%) of California’s 58 counties, while WNV was detected in 54 (93%). Although mosquitoes and sentinel chickens have been tested routinely for arboviruses in California for over fifty years, surveillance has not been uniform throughout the state. Of note, since 2005 there has been a steady decline in the use of sentinel chickens among vector control agencies, potentially contributing to gaps in SLEV surveillance. The incidence of SLEV disease in California may have been underestimated because human surveillance for SLEV relied on an environmental detection to trigger SLEV patient screening and mosquito surveillance effort is spatially variable. In addition, human diagnostic testing usually relies on changes in host antibodies and SLEV infection can be indistinguishable from infection with other flaviviruses such as WNV, which is more prevalent.

Pseudocybaeota (Araneae: Cybaeidae): a new spider genus endemic to coastal Pacific Northwestern United States of America.

The forested habitats of the west coast of North America are home to a diverse array of endemic Cybaeinae spider taxa (Araneae: RTA clade: Cybaeidae). Most of those taxa have very restricted distributions within an area of the western United States of America from the Olympic Peninsula of northwestern Washington to the northern half of the Californian Floristic Province of California, a well-known biodiversity hotspot. Here we describe Pseudocybaeota Bennett gen. nov. with type species Cybaeus perditus Chamberlin Ivie (= Pseudocybaeota perdita (Chamberlin Ivie) comb. nov.) and including two new species, P. butterfieldi Bennett spec. nov. and P. tuberculata Bennett spec. nov. These rarely collected species are restricted to forested habitats in small areas of the coastal watersheds of the Olympic Peninsula (P. perdita comb. nov.), southern Curry and adjacent northern Del Norte Counties in Oregon and California, respectively (P. tuberculata spec. nov.), and Humboldt County in northwestern California (P. butterfieldi spec. nov.). In addition to descriptions of the genus and both sexes of its included species we provide diagnoses, illustrations, an identification key, and distribution maps for the species of this distinctive new genus.

Alcohol use disorder among Whites and Hispanics on and off the U.S./Mexico border in California

This paper examines whether U.S./Mexico border residence in California is related to the prevalence of DSM-5 alcohol use disorder (AUD) among Whites and Hispanics. Household survey data were obtained from 1,209 adults (59.7% female) 18 to 39 years of age resident in four counties in California: Imperial on the U.S./Mexico border; and Kern, Tulare, and Madera in California’s Central Valley. Households were selected using a list assisted sample, with data collected on the phone or online. Results show that AUD rates were not different between border and non-border location and between Whites and Hispanics. AUD was negatively associated with higher income ($20,000 to $60,000: AOR=.38; 95%CI=.17–.86; p<.01—more than $60,000: AOR=.27; 95%CI: .09–.81; p<.01) and poor risk perception (AOR=.86; 95%CI=.78–.94; p<.01). AUD was positively associated with continued volume of drinking (AOR = 1.05; 95%CI = 1.01–1.09; p<.01), drinking in Mexico (AOR = 4.28; 95%CI = 1.61–11.36; p<.01), marijuana use (AOR = 4.11; 95%CI = 1.73–9.77; p<.01), and impulsivity (AOR = 1.55; 95%CI = 1.23–1.94). Efforts to prevent AUD in the population in California, and especially among those who live close to the border with Mexico, should take into consideration factors such as impulsivity, marijuana use, border crossing to drink in Mexico, all of which increased risk of AUD.

Asian American Burnout Experiences in Local Government

How the Paradoxical Treatment of Asian Americans as Model Minorities and Perpetual Foreigners Shape Their Burnout Experiences in Local Government Abstract: Asian Americans are the fastest growing racial group in the United States. This trend signals a need for greater representation and retention of Asian American employees in local government to ensure this growing population is well-represented in bureaucratic decision-making processes and public service provisions. In our study, we examine burnout and emotional labor among Asian Americans in local government through a mixed-methods approach. Our sample consists of local government workers from a large and diverse county in California. We surveyed participants in 2018 and surveyed and interviewed a subset in 2020. We find that Asian Americans in the public sector are dealing with emotional stressors from multiple sides: internal expectations and collectivist values, external pressures from interpersonal relationships at work and from residents, and racialized collective trauma from the public display of anti-Asian acts that only heighten feelings of being perpetually foreign. The interaction of these stressors is leading Asian Americans in the public sector to experience burnout and its many dimensions in greater intensity than non-Asians employees in general.

Aerial Imagery-Based Building Footprint Detection with an Integrated Deep Learning Framework: Applications for Fine Scale Wildland–Urban Interface Mapping

Human encroachment into wildlands has resulted in a rapid increase in wildland–urban interface (WUI) expansion, exposing more buildings and population to wildfire risks. More frequent mapping of structures and WUIs at a finer spatial resolution is needed for WUI characterization and hazard assessment. However, most approaches rely on high-resolution commercial satellite data with a particular focus on urban areas. We developed a deep learning framework tailored for building footprint detection in the transitional wildland–urban areas. We leveraged meter scale aerial imageries publicly available from the National Agriculture Imagery Program (NAIP) every 2 years. Our approach integrated Mobile-UNet and generative adversarial network. The deep learning models trained over three counties in California performed well in detecting building footprints across diverse landscapes, with an F1 score of 0.62, 0.67, and 0.75 in the interface WUI, intermix WUI, and rural regions, respectively. The bi-annual mapping captured both housing expansion and wildfire-caused building damages. The 30 m WUI maps generated from these finer footprints showed more granularity than the existing census tract-based maps and captured the transition of WUI dynamics well. More frequent updates of building footprint and improved WUI mapping will improve our understanding of WUI dynamics and provide guidance for adaptive strategies on community planning and wildfire hazard reduction.

Latinx Adolescent Perspectives on the Effects of United States Immigration Policy on Wellbeing

In a prospective cohort study of Latinx adolescents living in an agricultural county in California, we examined perceptions of federal immigration policy and its effects on community and individual wellbeing. From May to December 2017, 565 youth responded to an open-ended item integrated into ongoing surveys. Median age was 14 (range 13–16 years), 53% female, and 94% Latinx. About 12% were immigrants, 71% children of immigrant parents, and 52% had a parent employed in farm work. Most (78%) indicated they directly experienced or observed effects of current federal immigration policies. Adolescents described anti-immigrant sentiment as heightening discrimination, isolation, fear, and mental health changes. They also perceived constraints on future educational and employment opportunities. These findings suggest that the federal immigration policy environment can negatively impact the wellbeing of youth in Latinx communities and that immigration policy should be considered a social determinant of health.

Protecting infrastructure performance from disinformation attacks

Disinformation campaigns are prevalent, affecting vaccination coverage, creating uncertainty in election results, and causing supply chain disruptions, among others. Unfortunately, the problems of misinformation and disinformation are exacerbated due to the wide availability of online platforms and social networks. Naturally, these emerging disinformation networks could lead users to engage with critical infrastructure systems in harmful ways, leading to broader adverse impacts. One such example involves the spread of false pricing information, which causes drastic and sudden changes in user commodity consumption behavior, leading to shortages. Given this, it is critical to address the following related questions: (i) How can we monitor the evolution of disinformation dissemination and its projected impacts on commodity consumption? (ii) What effects do the mitigation efforts of human intermediaries have on the performance of the infrastructure network subject to disinformation campaigns? (iii) How can we manage infrastructure network operations and counter disinformation in concert to avoid shortages and satisfy user demands? To answer these questions, we develop a hybrid approach that integrates an epidemiological model of disinformation spread (based on a susceptible-infectious-recovered model, or SIR) with an efficient mixed-integer programming optimization model for infrastructure network performance. The goal of the optimization model is to determine the best protection and response actions against disinformation to minimize the general shortage of commodities at different nodes over time. The proposed model is illustrated with a case study involving a subset of the western US interconnection grid located in Los Angeles County in California.