scholarly journals Excess mortality associated with the COVID-19 pandemic among Californians 18–65 years of age, by occupational sector and occupation: March through November 2020

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252454
Author(s):  
Yea-Hung Chen ◽  
Maria Glymour ◽  
Alicia Riley ◽  
John Balmes ◽  
Kate Duchowny ◽  
...  
Keyword(s):  
Ethnic Groups ◽  
Excess Mortality ◽  
Moving Average ◽  
Essential Work ◽  
California Department ◽  
Food And Agriculture ◽  
Working Age ◽  
Per Capita ◽  
Transportation Logistics ◽  
Excess Deaths

Background Though SARS-CoV-2 outbreaks have been documented in occupational settings and in-person essential work has been suspected as a risk factor for COVID-19, occupational differences in excess mortality have, to date, not been examined. Such information could point to opportunities for intervention, such as vaccine prioritization or regulations to enforce safer work environments. Methods and findings Using autoregressive integrated moving average models and California Department of Public Health data representing 356,188 decedents 18–65 years of age who died between January 1, 2016 and November 30, 2020, we estimated pandemic-related excess mortality by occupational sector and occupation, with additional stratification of the sector analysis by race/ethnicity. During these first 9 months of the COVID-19 pandemic, working-age adults experienced 11,628 more deaths than expected, corresponding to 22% relative excess and 46 excess deaths per 100,000 living individuals. Sectors with the highest relative and per-capita excess mortality were food/agriculture (39% relative excess; 75 excess deaths per 100,000), transportation/logistics (31%; 91 per 100,000), manufacturing (24%; 61 per 100,000), and facilities (23%; 83 per 100,000). Across racial and ethnic groups, Latino working-age Californians experienced the highest relative excess mortality (37%) with the highest excess mortality among Latino workers in food and agriculture (59%; 97 per 100,000). Black working-age Californians had the highest per-capita excess mortality (110 per 100,000), with relative excess mortality highest among transportation/logistics workers (36%). Asian working-age Californians had lower excess mortality overall, but notable relative excess mortality among health/emergency workers (37%), while White Californians had high per-capita excess deaths among facilities workers (70 per 100,000). Conclusions Certain occupational sectors are associated with high excess mortality during the pandemic, particularly among racial and ethnic groups also disproportionately affected by COVID-19. In-person essential work is a likely venue of transmission of coronavirus infection and must be addressed through vaccination and strict enforcement of health orders in workplace settings.

scholarly journals Excess deaths among Latino people in California during the COVID-19 pandemic

2020 ◽  
Author(s):  
Alicia R. Riley ◽  
Yea-Hung Chen ◽  
Ellicott C. Matthay ◽  
M. Maria Glymour ◽  
Jacqueline M. Torres ◽  
...  
Keyword(s):  
Formal Education ◽  
Excess Mortality ◽  
Workplace Safety ◽  
Place Of Birth ◽  
Excess Death ◽  
High School Degree ◽  
Risk Of Death ◽  
Food And Agriculture ◽  
Access To Medical Care ◽  
Excess Deaths

ABSTRACTBackgroundLatinos in the US are experiencing higher excess deaths during the COVID-19 pandemic than any other racial/ethnic group, but it is unclear which subgroups within this diverse population are most affected. Such information is necessary to target policies and programs that prevent further excess mortality and reduce inequities.MethodsUsing death certificate data for January 1, 2016 through February 29, 2020 and time-series models, we estimated the expected weekly deaths among Latinos in California from March 1 through October 3, 2020. We quantified excess mortality as observed minus expected deaths and risk ratios (RR) as the ratio of observed to expected deaths. We considered subgroups defined by age, sex, place of birth, education, occupation, and combinations of these factors.ResultsDuring the first seven months of the pandemic, Latino deaths in California exceeded expected deaths by 10,304, a 31% increase. Excess death rates were greatest for individuals born in Mexico (RR 1.44; 95% PI, 1.41, 1.48) or Central America (RR 1.49; 95% PI, 1.37, 1.63), with less than a high school degree (RR 1.41; 95% PI, 1.35, 1.46), or in manufacturing (RR 1.62; 95% PI, 1.52, 1.72) or food-and-agriculture occupations (RR 1.50; 95% PI, 1.40, 1.61). Disparities in excess death by place of birth and education were magnified among Latinos in essential occupations.ConclusionsForeign-birth, low formal education, and work in an essential sector put some Latinos in California at higher risk of death during the COVID-19 pandemic. Interventions should reduce the disproportionate impact of the pandemic on Latino immigrants and Latinos in unsafe working conditions; these may include early vaccination, workplace safety enforcement, and expanded access to medical care.

scholarly journals Excess mortality associated with the COVID-19 pandemic among Californians 18–65 years of age, by occupational sector and occupation: March through October 2020

2021 ◽  
Author(s):  
Yea-Hung Chen ◽  
Maria Glymour ◽  
Alicia Riley ◽  
John Balmes ◽  
Kate Duchowny ◽  
...  
Keyword(s):  
Excess Mortality ◽  
California Department ◽  
Occupational Differences ◽  
Working Age ◽  
Sector Analysis ◽  
Strict Enforcement ◽  
Coronavirus Infection ◽  
Vaccine Distribution ◽  
Retail Workers ◽  
Occupational Settings

AbstractBackgroundThough SARS-CoV-2 outbreaks have been documented in occupational settings and though there is speculation that essential workers face heightened risks for COVID-19, occupational differences in excess mortality have, to date, not been examined. Such information could point to opportunities for intervention, such as workplace modifications and prioritization of vaccine distribution.Methods and findingsUsing death records from the California Department of Public Health, we estimated excess mortality among Californians 18–65 years of age by occupational sector and occupation, with additional stratification of the sector analysis by race/ethnicity. During the COVID-19 pandemic, working age adults experienced a 22% increase in mortality compared to historical periods. Relative excess mortality was highest in food/agriculture workers (39% increase), transportation/logistics workers (28% increase), facilities (27%) and manufacturing workers (23% increase). Latino Californians experienced a 36% increase in mortality, with a 59% increase among Latino food/agriculture workers. Black Californians experienced a 28% increase in mortality, with a 36% increase for Black retail workers. Asian Californians experienced an 18% increase, with a 40% increase among Asian healthcare workers. Excess mortality among White working-age Californians increased by 6%, with a 16% increase among White food/agriculture workers.ConclusionsCertain occupational sectors have been associated with high excess mortality during the pandemic, particularly among racial and ethnic groups also disproportionately affected by COVID-19. In-person essential work is a likely venue of transmission of coronavirus infection and must be addressed through strict enforcement of health orders in workplace settings and protection of in-person workers. Vaccine distribution prioritizing in-person essential workers will be important for reducing excess COVID mortality.

scholarly journals Estimation of Excess Mortality and Years of Life Lost to COVID-19 in Norway and Sweden between March and November 2020

2021 ◽  
Vol 18 (8) ◽  
pp. 3913
Author(s):  
Martin Rypdal ◽  
Kristoffer Rypdal ◽  
Ola Løvsletten ◽  
Sigrunn Holbek Sørbye ◽  
Elinor Ytterstad ◽  
...  
Keyword(s):  
Excess Mortality ◽  
Age Groups ◽  
Years Of Life Lost ◽  
Regressive Model ◽  
Epidemic Period ◽  
All Cause Mortality ◽  
Auto Regressive ◽  
Expected Mortality ◽  
Auto Regressive Model ◽  
Excess Deaths

We estimate the weekly excess all-cause mortality in Norway and Sweden, the years of life lost (YLL) attributed to COVID-19 in Sweden, and the significance of mortality displacement. We computed the expected mortality by taking into account the declining trend and the seasonality in mortality in the two countries over the past 20 years. From the excess mortality in Sweden in 2019/20, we estimated the YLL attributed to COVID-19 using the life expectancy in different age groups. We adjusted this estimate for possible displacement using an auto-regressive model for the year-to-year variations in excess mortality. We found that excess all-cause mortality over the epidemic year, July 2019 to July 2020, was 517 (95%CI = (12, 1074)) in Norway and 4329 [3331, 5325] in Sweden. There were 255 COVID-19 related deaths reported in Norway, and 5741 in Sweden, that year. During the epidemic period of 11 March–11 November, there were 6247 reported COVID-19 deaths and 5517 (4701, 6330) excess deaths in Sweden. We estimated that the number of YLL attributed to COVID-19 in Sweden was 45,850 [13,915, 80,276] without adjusting for mortality displacement and 43,073 (12,160, 85,451) after adjusting for the displacement accounted for by the auto-regressive model. In conclusion, we find good agreement between officially recorded COVID-19 related deaths and all-cause excess deaths in both countries during the first epidemic wave and no significant mortality displacement that can explain those deaths.

Sunflower Diseases Remain Rare in California Seed Production Fields Compared to North Dakota

2012 ◽  
Vol 13 (1) ◽  
pp. 1 ◽  
Author(s):  
Thomas J. Gulya ◽  
Suzanne Rooney-Latham ◽  
Jean S. Miller ◽  
Kathleen Kosta ◽  
Colleen Murphy-Vierra ◽  
...  
Keyword(s):  
North Dakota ◽  
Sclerotinia Sclerotiorum ◽  
The State ◽  
California Department ◽  
Diagnostic Laboratory ◽  
Plasmopara Halstedii ◽  
Puccinia Helianthi ◽  
Food And Agriculture ◽  
Phoma Macdonaldii ◽  
Sunflower Production

The majority of United States sunflower production is in seven Midwestern states, but hybrid planting seed is almost exclusively produced in California. Due to the lack of summer rains and furrow irrigation, California-produced seed is relatively disease free and thus it regularly meets phytosanitary restrictions imposed by many countries. For the 15-year period from 1997 to 2011, 7231 seed fields in northern California were inspected and samples processed at the state diagnostic laboratory (California Department of Food and Agriculture). Rust (Puccinia helianthi) was the most prevalent quarantine disease, found in 4.3% of fields. Stalk rot (Sclerotinia sclerotiorum) and downy mildew (Plasmopara halstedii) were the only other quarantine pathogens observed, found in 2.6% and 0.5% of the 7231 fields, respectively. Many sunflower pathogens have never been recorded in California, including Phoma macdonaldii, Phomopsis helianthi, or any virus. North Dakota, the state with the highest US sunflower production, had quarantine pathogens in 88% of 1263 fields surveyed from 1995 to 2011. Phoma macdonaldii, Sclerotinia sclerotiorum, Puccinia helianthi, Phomopsis helianthi, Plasmopara halstedii, and Verticillium dahliae were recorded in 62, 54, 37, 33, 14, and 12%, respectively, of North Dakota fields. Accepted for publication 5 November 2012. Published 14 December 2012.

Excess Mortality During the COVID-19 Pandemic in Philadelphia

2021 ◽  
pp. e1-e6
Author(s):  
Megan Todd ◽  
Meagan Pharis ◽  
Sam P. Gulino ◽  
Jessica M. Robbins ◽  
Cheryl Bettigole
Keyword(s):  
Public Health ◽  
Excess Mortality ◽  
Poisson Model ◽  
People Of Color ◽  
Mortality Data ◽  
Registration System ◽  
Vital Registration System ◽  
All Cause Mortality ◽  
Race Ethnicity ◽  
Excess Deaths

Objectives. To estimate excess all-cause mortality in Philadelphia, Pennsylvania, during the COVID-19 pandemic and understand the distribution of excess mortality in the population. Methods. With a Poisson model trained on recent historical data from the Pennsylvania vital registration system, we estimated expected weekly mortality in 2020. We compared these estimates with observed mortality to estimate excess mortality. We further examined the distribution of excess mortality by age, sex, and race/ethnicity. Results. There were an estimated 3550 excess deaths between March 22, 2020, and January 2, 2021, a 32% increase above expectations. Only 77% of excess deaths (n=2725) were attributed to COVID-19 on the death certificate. Excess mortality was disproportionately high among older adults and people of color. Sex differences varied by race/ethnicity. Conclusions. Excess deaths during the pandemic were not fully explained by COVID-19 mortality; official counts significantly undercount the true death toll. Far from being a great equalizer, the COVID-19 pandemic has exacerbated preexisting disparities in mortality by race/ethnicity. Public Health Implications. Mortality data must be disaggregated by age, sex, and race/ethnicity to accurately understand disparities among groups. (Am J Public Health. Published online ahead of print June 10, 2021: e1–e6. https://doi.org/10.2105/AJPH.2021.306285 )

Pesticide Residues in Food Crops Analyzed by the California Department of Food and Agriculture in 1989

1991 ◽  
pp. 87-151 ◽  
Author(s):  
Douglas Okumura ◽  
Rick Melnicoe ◽  
Terry Jackson ◽  
Cheryl Drefs ◽  
Keith Maddy ◽  
...  
Keyword(s):  
Pesticide Residues ◽  
Food Crops ◽  
California Department ◽  
Food And Agriculture

scholarly journals Magnitude, change over time, demographic characteristics and geographic distribution of excess deaths among nursing home residents during the first wave of COVID-19 in France: a nationwide cohort study

2021 ◽  
Author(s):  
Florence Canouï-Poitrine ◽  
Antoine Rachas ◽  
Martine Thomas ◽  
Laure Carcaillon-Bentata ◽  
Roméo Fontaine ◽  
...  
Keyword(s):  
Nursing Home ◽  
General Population ◽  
Excess Mortality ◽  
Nursing Home Residents ◽  
Primary Objective ◽  
List Type ◽  
Key Points ◽  
Standardized Mortality Ratios ◽  
Using Data ◽  
Excess Deaths

AbstractImportanceNursing home (NH) residents are particularly vulnerable to SARS-CoV-2 infections and coronavirus disease 2019 (COVID-19) lethality. However, excess deaths in this population have rarely been documented.ObjectivesThe primary objective was to assess the number of excess deaths among NH residents during the first wave of the COVID-19 pandemic in France. The secondary objectives were to determine the number of excess deaths as a proportion of the total excess deaths in the general population and determine whether a harvesting effect was present.DesignWe studied a cohort of 494,753 adults (as of March 1st, 2020) aged 60 and over in 6,515 NHs in mainland France. This cohort was exposed to the first wave of the COVID-19 pandemic (from March 1st to May 31st, 2020) and was compared with the corresponding, reference cohorts from 2014 to 2019 (using data from the French National Health Data System).Main outcome and measuresThe main outcome was all-cause death. Weekly excess deaths and standardized mortality ratios (SMRs) were estimated.ResultThere were 13,505 excess deaths among NH residents. Mortality increased by 43% (SMR: 1.43). The mortality excess was higher among males than among females (SMR: 1.51 and 1.38, respectively) and decreased with age (SMRs in females: 1.61 in the 60-74 age group, 1.58 for 75-84, 1.41 for 85-94, and 1.31 for 95 or over; Males: SMRs: 1.59 for 60-74, 1.69 for 75-84, 1.47 for 85-94, and 1.41 for 95 or over). We did not observe a harvesting effect (up until August 30th, 2020). By extrapolating to all NH residents nationally (N=570,003), the latter accounted for 51% of the total excess deaths in the general population (N=15,114 out of 29,563).ConclusionNH residents accounted for about half of the total excess deaths in France during the first wave of the COVID-19 pandemic. The excess death rate was higher among males than females and among younger residents than among older residents. We did not observe a harvesting effect. A real-time mortality surveillance system and the identification of individual and environmental risk factors might help to design the future model of care for older dependent adults.Key pointsDuring the first wave of the COVID-19 pandemic in France, the mortality among nursing home residents increased by 43%.Nursing home residents accounted for 51% of the total excess deaths in France.The excess mortality was higher among younger residents than among older residents.The excess mortality was higher among males than among females.We did not observe a harvesting effect during the study period (ending on August 30th, 2020, i.e., three months after the end of the first wave).

scholarly journals Excess mortality in Guadeloupe and Martinique, islands of the French West Indies, during the chikungunya epidemic of 2014

2018 ◽  
Vol 146 (16) ◽  
pp. 2059-2065 ◽  
Author(s):  
A. R. R. Freitas ◽  
P. M. Alarcón-Elbal ◽  
M. R. Donalisio
Keyword(s):  
Strong Correlation ◽  
Excess Mortality ◽  
Pearson Correlation ◽  
Age Groups ◽  
Epidemiological Data ◽  
Mortality Data ◽  
Surveillance Systems ◽  
Mortality And Morbidity ◽  
The Impact ◽  
Excess Deaths

AbstractIn some chikungunya epidemics, deaths are not completely captured by traditional surveillance systems, which record case and death reports. We evaluated excess deaths associated with the 2014 chikungunya virus (CHIKV) epidemic in Guadeloupe and Martinique, Antilles. Population (784 097 inhabitants) and mortality data, estimated by sex and age, were accessed from the Institut National de la Statistique et des Études Économiques in France. Epidemiological data, cases, hospitalisations and deaths on CHIKV were obtained from the official epidemiological reports of the Cellule de Institut de Veille Sanitaire in France. Excess deaths were calculated as the difference between the expected and observed deaths for all age groups for each month in 2014 and 2015, considering the upper limit of 99% confidence interval. The Pearson correlation coefficient showed a strong correlation between monthly excess deaths and reported cases of chikungunya (R= 0.81,p< 0.005) and with a 1-month lag (R= 0.87,p< 0.001); and a strong correlation was also observed between monthly rates of hospitalisation for CHIKV and excess deaths with a delay of 1 month (R= 0.87,p< 0.0005). The peak of the epidemic occurred in the month with the highest mortality, returning to normal soon after the end of the CHIKV epidemic. There were excess deaths in almost all age groups, and excess mortality rate was higher among the elderly but was similar between male and female individuals. The overall mortality estimated in the current study (639 deaths) was about four times greater than that obtained through death declarations (160 deaths). Although the aetiological diagnosis of all deaths associated with CHIKV infection is not always possible, already well-known statistical tools can contribute to the evaluation of the impact of CHIKV on mortality and morbidity in the different age groups.

scholarly journals Macroeconomic and distributional effects of demographic change in an open economy—the case of Belgium

2020 ◽  
Vol 86 (1) ◽  
pp. 87-124
Author(s):  
Willem Devriendt ◽  
Freddy Heylen
Keyword(s):  
Open Economy ◽  
Demographic Change ◽  
Capital Investment ◽  
Physical Capital ◽  
Investment Model ◽  
Overlapping Generations Model ◽  
Endogenous Variables ◽  
Working Age ◽  
Negative Effect ◽  
Per Capita

AbstractWe construct and parameterize an overlapping generations model for an open economy with individuals who differ in innate ability. Key endogenous variables are hours worked, investment in human and physical capital, and per capita growth. The model replicates important data in Belgium since 1960 remarkably well. Simulating it, we observe that behavioral adjustments by households and firms contribute to reverse the negative arithmetical effect of future demographic change on per capita growth. Individuals work and study more. However, with unchanged policies, there remains a net negative effect on annual per capita growth of almost 0.3%-points on average in the next 25 years. This is mainly due to adverse consequences of reduced fertility and a declining working-age population on (the return to) physical capital investment. Model projections also point to rising income inequality induced by demographic change. Differences in the capacity of individuals to respond to increasing life expectancy by investing in education, and by saving, are key.

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