Contributed Reports of Widely Felt Earthquakes in California, United States: If They Felt it, Did They Report it?

In a recent study, Hough and Martin (2021) considered the extent to which socioeconomic factors influence the numbers and distribution of contributed reports available to characterize the effects of both historical and recent large earthquakes. In this study I explore the question further, focusing on analysis of widely felt earthquakes near major population centers in northern and southern California since 2002. For most of these earthquakes there is a correlation between average household income in a postal ZIP code and the population-normalized rate of responses to the DYFI system. As past studies have demonstrated, there is also a strong correlation between DYFI participation and the severity of shaking. This first-order correlation can obscure correlations with other factors that influence participation. Focusing on five earthquakes between 2011 and 2021 that generated especially uniform shaking across the greater Los Angeles, California, region, response rate varies by two orders of magnitude across the region, with a clear correlation with demographics, and consistent spatial patterns in response rate for earthquakes 10 years apart. While there is no evidence that uneven DYFI participation in California impacts significantly the reliability of intensity data collected, the results reveal that DYFI participation is significantly higher in affluent parts of southern California compared to economically disadvantaged areas.

What Sparkles Does Not Always Shine

This paper is an ethnographic and sociological study of the neighborhood of Runnymede-Bloor West Village, identifying trends and drawing conclusions based on statistical data, academic theory, and notes taken during research trips. It is also worth noting that this study was conducted in January of 2020 before the Global pandemic was declared. Focusing on gentrification, segregation, and inequality, I identify that this neighborhood is part of a growing trend in Toronto of the increasing severity of all three of these issues. Runnymede-Bloor West Village is quickly becoming one of Toronto’s wealthiest neighborhoods, with the average household income increasing substantially. While this will certainly make real estate agents happy and will probably provide the city with more property tax, it also has the effect of pushing less affluent people out, as increasing living costs make their continued residence in Runnymede-Bloor West Village unaffordable. It also influences the local businesses, as businesses that do not cater to the new influx of affluent residents go out of business, either because their customer base has left or because they can no longer afford to pay their rent. I also identify the increased segregation of the neighborhood, as the racialized character of income inequality in Toronto results in people of color being priced out. Finally, I recommend that the solution to much of this increased inequality is the building of more affordable housing and restrictions of the building of unaffordable housing. Much of this will require the actions of a progressive, engaged local government. Hopefully, these steps will be able to halt or even reverse the trend of an ever-increasing cost of living, provide the local businesses with customers who do not have to spend most of their income on housing costs, and provide a short term solution to the issue of income and ethnicity-based segregation in Toronto.

ANALISIS PENDAPATAN DAN TINGKAT KESEJAHTERAAN RUMAH TANGGA MASYARAKAT SEKITAR TAMAN NASIONAL BUKIT BARISAN SELATAN KABUPATEN PESISIR BARAT

This study aims to determine the socio-economic characteristics of farmers, analyze the income structure, the factors that affect the income of farmers, and the level of household welfare of farmers who live around Bukit Barisan Selatan National Park, Pesisir Barat District. This research is a survey research involving 99 respondents who were randomly selected. Respondents were spread across four subdistricts, namely Bengkunat Belimbing, Ngambur, Pesisir Selatan, and Karya Penggawa Districts. The study was conducted from July to August 2018. The first objective was analyzed qualitatively, the second objective was analyzed using household income analysis, the third objective used multiple linear regression analysis, and the fourth objective was using Sajogyo's criteria (1997). The study suggested that the socio-economic characteristics of the farmers around TNBBS were spread from 15 to 64 years of age with an average age of 43.74 years. The average education level was elementary school, the number of majority of family sizes was from 4 to 6 people (67.68%), and the average land was 1.41 ha. The average household income of farmers is IDR 36,946,883.94 per year, which consists of on-farm income 63.68%, off-farm income 11.00%, and non-farm income 25.33%.. Factors that affect farmers' income are fertilizer costs and labor costs. The welfare of farmers around TNBBS is in quite prosperous category.Key words: characteristics, household income, welfare

SEVERAL FACTORS THAT AFFECT CATTLE ROWING PATTERNS AS WELL AS THEIR CONTRIBUTION TO HOUSEHOLD INCOME (CASE STUDY OF LIVESTOCK FARMERS IN TAEBENU SUBDISTRICT, KUPANG REGENCY, NTT)

This study aims to analyze several factors that affect cattle rowing patterns as well as their costs, receipts and contributions to the household income of livestock farmers in Taebenu Subdistrict, Kupang Regency, NTT. The research sample of 100 people was grouped into two groups: group I (50 row cattle farmers) and group II (50 non-row cattle farmers). Determination of the number of farmer samples follows slovin formula with random sampling method. Data on factors that influence the decisions of farmers' households are analyzed with binary logistics regression analysis. Meanwhile, the income of cattle farmers and non-rowdy cattle was analyzed by household income analysis. The results showed that the analysis of binary logistics regression using simultaneous tests showed that independent variables (X) namely X1, X2, X3, X4, X5, X6 significantly influenced dependent variables (Y). The average household income of cattle farmers rowdy pattern is Rp 13,327,080 with the contribution of income from the business of cattle rowing by 21.93%, while the average household income of non-rowdy cattle farmers (privately owned) Rp 12,820,488 with the contribution of income from non-row cattle businesses amounted to 22.93%. From the results of household income shows the household income of cattle farmers row pattern higher than the household income of non-row cattle farmers (privately owned).

Moving Up the Electrification Ladder in Off-Grid Settlements with Rooftop Solar Microgrids

The multi-tier framework (MTF) of electricity access defines a continuum of electrification from tier 0, where access is inexistent or very limited, to tier 5 where access is of grid quality. Transitioning households from lower to higher tiers unlocks the potential in meeting more of their energy needs. This study investigates the transition towards higher tier electricity access on Gilutongan Island, an off-grid island of Cebu, Philippines, which is also an informal settlement community with no open land available for a centralized solar PV system. The solar PV potential of suitable rooftops on the island was determined using satellite imagery, ground measurements, and computation. The electricity demand of a cluster of 11 households was examined in detail; these households, situated near two suitable rooftops, were connected to an installed 7.92 kWp solar PV-based microgrid. Results show that the households moved up from lower to higher tier levels in all MTF attributes except for affordability. Nevertheless, the cost of a standard electricity consumption package of 1 kWh/day dropped from 18% of the average household income to 6%. Moving up on the electrification ladder to higher tier electricity access in off-grid areas is attainable with households clustered as a microgrid using rooftop solar PV. Affordability remains to be the biggest challenge that needs to be addressed.

Out-of-Pocket Healthcare Expenditures of Households Living With Rare Diseases

Background: Economic impact of rare diseases for both individuals and family members, in addition to many expenditures such as disease-related medication, use of healthcare, access to treatment, special medical and nutritional requirements; it also causes indirect effects such as loss of productivity, loss of wages, health insurance and inability to find work. In this study, it is aimed to determine the out-of-pocket health expenditures and economic burden of households where individuals with rare diseases live in Turkey.Methods: The research population consists of registered members of associations that are members of the Rare Diseases Network. The questionnaire was developed based on literature review and expert opinion and the online survey was made available between 01.05.2020- 31.05.2020. After obtaining data on out-of-pocket expenditures in rare diseases, the necessary analysis was carried out through the Microsoft Office Excel application. In addition to the general analysis involving all participants, expenditures on the basis of disease group and disease were calculated. The costs calculated in Turkish Liras (₺/TL) have been converted to Euros (€) according to the average exchange rate for 2020. Results: 456 participants were included in the analysis. Accordingly, 233 patients were included in the metabolic diseases category, 178 in the neuromuscular system diseases category and 41 in the others category. It was determined that special nutrition were the highest expenditure group and emergency department were the lowest expenditure group. The lowest amount of out-of-pocket expenditure is in the metabolic diseases group. It has been observed that 47.35% of all participants allocate more than 10% of the annual average household income and 4.65% more than 100% of the annual average household income for medical expenses. It is seen that the average out-of-pocket expenses in DMD, SMA, cystinosis and cystic fibrosis diseases are close to each other.Conclusion: Since individuals with rare diseases are often unable to work, out-of-pocket expenditures related to the disease lead to financial difficulties and even impoverishment. Their already difficult lives get even more difficult by the financial sacrifices made for treatment. Treatments for rare diseases need to go beyond special exclusivity for patient access and reimbursement.

Telehealth to increase access to transplant survivorship care for allogeneic stem cell transplant recipients regardless of distance to transplant center or neighborhood income.

e13615 Background: Transplant Survivorship Clinic at our institution serves to improve outcomes and overall health of allogeneic transplant survivors. The COVID19 pandemic allowed for growth of telemedicine in our program. We examine the patterns of use of telehealth and hypothesize that the use of telemedicine allowed continued access to care compared to the era prior to availability. We compared our transplant survivorship clinic data from July- December 2020, when telehealth was well established and compared to July-December 2019. Methods: All patients seen by the survivorship team for end of treatment visits, graft versus host disease assessments and survivorship visits annually between July-December 2019 and July-December 2020 were included. Their zip codes were used to get direct distance to survivorship clinic, average drive time, driving distance and average household income as in zip-codes.com database. Results: Total number of office visits in July-Dec 2019 was 163 visits (0% via telehealth) and in July-Dec 2020 was 228 (66.2% via telehealth). All encounters (telehealth and office visits) were lower in July and August 2020 compared to July and August 2019 but higher in months of September -December 2020 compared to 2019. Comparing all encounters during 7/2019-12/2019 to 7/2020-12/2020, there was no statistically significant difference in median age (58yr vs 60 yr), gender (males: 58% vs 59%), race (non-white: 11% vs 8.7%), median years from transplant (4yr vs 3 yrs), median income of patient neighborhood ($63,735 vs $60,465) and average drive time to center from zip code (40 min vs 51min). Comparison of patients who chose telehealth vs. office visit is summarized in table. While there was no statistically significant difference in age when comparing all encounters in 2019 and 2020, those who chose telehealth were younger (55yrs vs 60yrs, p=0.003). Conclusions: There were higher patient encounters in the 2020 period compared to 2019. Most of these 2020 encounters were via were telehealth, demonstrating the role of telehealth in increasing access. Younger patients appeared to choose telehealth, but telehealth served patients up to the age of 77 yrs. Utilization of telehealth appeared to be irrespective of demographics such as gender, neighborhood income and driving distance to the center. Comparison of telehealth vs office visit for July-December 2019 and 2020.[Table: see text]

Measuring cost and affordability of current vs. healthy diets in Argentina: an application of linear programming and the INFORMAS protocol

Background Food cost and affordability is one of the main barriers to improve the nutritional quality of diets of the population. However, in Argentina, where over 60% of adults and 40% of children and adolescents are overweight or obese, little is known about the difference in cost and affordability of healthier diets compared to ordinary, less healthy ones. Methods We implemented the “optimal approach” proposed by the International Network for Food and Obesity/non-communicable diseases Research, Monitoring and Action Support (INFORMAS). We modelled the current diet and two types of healthy diets, one equal in energy with the current diet and one 6.3% lower in energy by linear programming. Cost estimations were performed by collecting food product prices and running a Monte Carlo simulation (10,000 iterations) to obtain a range of costs for each model diet. Affordability was measured as the percentage contribution of diet cost vs. average household income in average, poor and extremely poor households and by income deciles. Results On average, households must spend 32% more money on food to ensure equal energy intake from a healthy diet than from a current model diet. When the energy intake target was reduced by 6.3%, the difference in cost was 22%. There are no reasonably likely situations in which any of these healthy diets could cost less or the same than the current unhealthier one. Over 50% of households would be unable to afford the modelled healthy diets, while 40% could not afford the current diet. Conclusions Differential cost and affordability of healthy vs. unhealthy diets are germane to the design of effective public policies to reduce obesity and NCDs in Argentina. It is necessary to implement urgent measures to transform the obesogenic environment, making healthier products more affordable, available and desirable, and discouraging consumption of nutrient-poor, energy-rich foods.

SISTEM REPLANTING KELAPA SAWIT, OPPORTUNITY PENDAPATAN KELAPA SAWIT DAN TINGKAT KESEJAHTERAAN PETANI PADA MASA REPLANTING DI PERKEBUNAN KELAPA SAWIT RAKYAT KABUPATEN LAMPUNG TENGAH

This study aims were to determine the replanting model used by oil palm farmers, to calculate the replanting cost, to know the opportunity lost income, and to analyze the level of welfare of farmers during replanting in Central Lampung Regency. The sampling technique was a survey. The study was conducted in three districts, Anak Tuha District, Bangun Rejo District, and Sendang Agung District. The respondents were 31 oil palm farmers consisting of 6 respondents from Anak Tuha District, 21 respondents from Bangun Rejo District, and 4 respondents from Sendang Agung District. The data collection was carried out in March-May 2019. The results showed tha the replanting model used by oil palm farmers in Central Lampung Regency was the intercropping model with food crops and the underplanting model. The costs of replanting during the first 3 years when the palm trees are not productive yet were IDR45,481,990 per hectare on the intercropping model and IDR 48,146,117 per hectare on the underplanting model. The average value of oil palm opportunity lost income the intercropping model with food crops was IDR7,672,043 per hectare. The average household income of oil palm farmers was IDR19,489,145 per year. The level of welfare of farmers during replanting in Central Lampung Regency in general is in a fairly decent condition. Key words: cost, income, oil palm, opportunity, replanting, welfare

Association between parental socioeconomic status and offspring overweight/obesity from the China Family Panel Studies: a longitudinal survey

ObjectiveTo examine the association between parental socioeconomic status (SES) and the risk of offspring overweight/obesity and the changes of the association that occur as children grow older.DesignWe used data from the nationally representative longitudinal survey of the China Family Panel Studies of 2010 and its three follow-up waves in 2012, 2014 and 2016.ParticipantsA total of 6724 children aged 0–15 years old were included.Primary and secondary outcome measuresAverage household income and paternal and maternal education levels were used as SES indicators. Logistic regression model for panel data was used to examine the associations between SES indicators and child overweight/obesity. A restricted cubic spline linear regression model was used to estimate body mass index (BMI) trajectories with child growth across parental SES levels.ResultsCompared with the lowest education level (primary school or less), the ORs for fathers who had completed junior high school, senior high school and junior college or higher were 0.85 (95% CI 0.75 to 0.97), 0.77 (95% CI 0.64 to 0.92) and 0.72 (95% CI 0.55 to 0.93), respectively. The corresponding ORs for mothers were 0.76 (95% CI 0.67 to 0.86), 0.59 (95% CI 0.47 to 0.72) and 0.45 (95% CI 0.34 to 0.60), respectively. A negative association between parental education and offspring overweight/obesity was observed in the first 10 years but not in children 11–15 years old. BMI differences across parental education levels emerged from birth and widened before 6–7 years old, but decreased before adolescence. High average household income was related to a low risk of offspring overweight/obesity but not when parental education level was adjusted for.ConclusionHigh parental education levels were associated with a low risk of offspring overweight/obesity, especially before adolescence. Effective approaches need to be adopted in early childhood to reduce socioeconomic differences in overweight/obesity.