The pandemic preterm paradox: A test of competing explanations.

Epidemiologists have long argued that side effects of the stress response include preterm birth. Research reports that fear of lethal infection stressed pregnant persons at the outset of the COVID-19 pandemic and that "shutdowns" and "social distancing" impeded access to social support and prenatal care. The decline in preterm births in high-income countries, including the United States (US), during the early months of the pandemic therefore poses a paradox for science. Explanations of this "pandemic preterm paradox" remain untested. We apply time-series modeling to data describing 80 monthly conception cohorts begun in the US from July 2013 through February 2020 to determine which of 3 explanations most parsimoniously explains the paradox. We infer that "prior loss," or the argument that an increase in spontaneous abortions and stillbirths depleted the population of fetuses at risk of preterm birth, best explains data currently available. We describe the implications of these results for public health practice.

Scarring In Utero: An Attempt to Validate With Data Unconfounded by Migration and Medical Care.

BACKGROUND: "Scarring in utero" posits that populations exposed to injurious stressors yield birth cohorts that live shorter lives than expected from history. This argument implies a positive historical association between period life expectancy (i.e., average age at death in year t) and cohort life expectancy (i.e., average lifespan of persons born in year t). Tests of the argument have not produced consistent results and appear confounded by autocorrelation, migration, and access to medical care. Here we test whether, as predicted by scarring in utero, sex-specific period and cohort life expectancy appear positively related among Swedes born from 1751 through 1800. If scarring has ever influenced longevity, we should detect signals of its effects in these cohorts because, unlike other populations with known life span, they aged in place and unlikely benefitted from increased access to efficacious medical care. METHODS: We use Box-Jenkins methods to control autocorrelation and measure associations. RESULTS: Contrary to the scarring hypothesis, we find an inverse association between period and cohort life expectancy. Our findings imply that, among males, variation in injurious stress on the population predicted changes in cohort life span ranging from a gain of approximately 67 weeks to a loss of about 45 weeks of life and among females from a gain of approximately 68 weeks to a loss of about 38 weeks of life. CONCLUSION: Epidemiologists trying to understand and explain temporal variation in cohort life expectancy should view the scarring argument with greater skepticism than currently found in the literature.

Workforce estimate to treat mental disorders in the Kingdom of Saudi Arabia.

BACKGROUND: Mental, neurological, and substance abuse (MNS) disorders describe a range of conditions that affect the brain and cause distress or functional impairment. In the Middle East and North Africa (MENA), MNS disorders make up 10.88 percent of the burden of disease as measured in disability-adjusted life years. The Kingdom of Saudi Arabia (KSA) is one of the main providers of mental health services and one of the largest contributors to mental health research in the region. Within the past decade, mental health resources and services has increased. METHODS: We employ a needs-based workforce estimate as a planning exercise to arrive at the total number of psychiatrists, nurses, and psychosocial care providers needed to meet the epidemiological need of mental health conditions of the population of KSA. Estimates for a potential mental health workforce gap were calculated using five steps: Step 1-Quantify target population for priority mental health conditions. Step 2-Identify number of expected cases per year. Step 3-Set target service coverage for each condition. Step 4-Estimate cost-effective health care service resource utilization for each condition. Step 5-Estimate service resources needed for each condition. RESULTS: The planning exercise indicates an epidemiologic need for a total of 17,100 full-time-equivalent (FTE) health care providers to treat priority MNS disorders. KSA appears to have a need-based shortage of 10,400 health workers to treat mental disorders. A total of 100 psychiatrists, 5700 nurses, and 4500 psychosocial care providers would be additionally needed (that is, above and beyond current levels) to address the priority mental health conditions. The shortfall is particularly severe for nurses and psychosocial workers who make up 98.9 percent of the shortfall. This shortage is substantial when compared to other high-income countries. Overall, the workforce needed to treat MNS conditions translates to 49.2 health workers per 100,000 population. CONCLUSION: Challenges to addressing the shortfall are Saudi specific which includes awareness of cultural customs and norms in the medical setting. These challenges are compounded by the lack of Saudi nationals in the mental health workforce. Saudi nationals make up 29.5 percent of the physician workforce and 38.8 percent of the nursing workforce. Policymakers and planners supplement this shortfall with non-Saudi providers, who must be mindful of Saudi-specific cultural considerations. Potential solutions to reducing the shortfall of mental health care workers includes nurse task shifting and training of general practitioners to screen for, and treat, a subset of MNS disorders.

Racial disparities in law enforcement/court-ordered psychiatric inpatient admissions after the 2008 recession: a test of the frustration-aggression-displacement hypothesis.

BACKGROUND: Societies under duress may selectively increase the reporting of disordered persons from vulnerable communities to law enforcement. Mentally ill African American males reportedly are perceived as more threatening relative to females and other race/ethnicities. We examine whether law enforcement/court order-requested involuntary psychiatric hospitalizations increased among African American males shortly after ambient economic decline-a widely characterized population stressor. METHODS: We identified psychiatric inpatient admissions requested by law enforcement/court orders from 2006 to 2011 across four US states (Arizona, California, New York, North Carolina). Our analytic sample comprises 13.1 million psychiatric inpatient admissions across 95 counties over 72 months. We operationalized exposure to economic downturns as percent change in monthly employment in a metropolitan statistical area (MSA). We used zero inflated negative binomial and linear fixed effects regression analyses to examine psychiatric inpatient admissions requested by law enforcement/court orders following regional employment decline over a time period that includes the Great Recession of 2008. FINDINGS: Declines in monthly employment precede by one month a 6% increase in psychiatric hospitalizations requested by law enforcement/court order among African American males (p < 0.05), but not among other race/sex groups. Estimates amount to an excess of 2554 involuntary admissions among African American males statistically attributable to aggregate-level employment decline. CONCLUSIONS: Economic downturns may increase involuntary psychiatric commitments among African American males. Our findings underscore the unique vulnerability of racial/ethnic minorities during economic contractions.

Excess Injury Mortality in Washington State During the 2021 Heat Wave.

PUBLIC HEALTH IMPLICATIONS: Under global warming scenarios, heat waves of this magnitude will become much more common. Adaptation and planning efforts are needed to protect residents of the historically temperate Pacific Northwest for a range of health outcomes. (Am J Public Health. 2023;113(6):657-660. https://doi.org/10.2105/AJPH.2023.307269).

Exposure to the early COVID-19 pandemic and early, moderate and overall preterm births in the United States: A conception cohort approach.

BACKGROUND: The United States (US) data suggest fewer-than-expected preterm births in 2020, but no study has examined the impact of exposure to the early COVID-19 pandemic at different points in gestation on preterm birth. OBJECTIVE: Our objective was to determine-among cohorts exposed to the early COVID-19 pandemic-whether observed counts of overall, early and moderately preterm birth fell outside the expected range. METHODS: We used de-identified, cross-sectional, national birth certificate data from 2014 to 2020. We used month and year of birth and gestational age to estimate month of conception for birth. We calculated the count of overall (<37 weeks gestation), early (<33 weeks gestation) and moderately (33 to <37 weeks gestation) preterm birth by month of conception. We employed time series methods to estimate expected counts of preterm birth for exposed conception cohorts and identified cohorts for whom the observed counts of preterm birth fell outside the 95% detection interval of the expected value. RESULTS: Among the 23,731,146 births in our study, the mean prevalence of preterm birth among monthly conception cohorts was 9.7 per 100 live births. Gestations conceived in July, August or December of 2019-that is exposed to the early COVID-19 pandemic in the first or third trimester-yielded approximately 3245 fewer moderately preterm and 3627 fewer overall preterm births than the expected values for moderate and overall preterm. Gestations conceived in August and October of 2019-that is exposed to the early COVID-19 pandemic in the late second to third trimester-produced approximately 498 fewer early preterm births than the expected count for early preterm. CONCLUSIONS: Exposure to the early COVID-19 pandemic may have promoted longer gestation among close-to-term pregnancies, reduced risk of later preterm delivery among gestations exposed in the first trimester or induced selective loss of gestations.

New York City's Stop, Question, and Frisk Policy and Psychiatric Emergencies among Black Americans.

Under the Stop, Question, and Frisk (SQF) policy, New York City (NYC) police stopped Black Americans at more than twice the rate of non-Hispanic whites, after controlling for arrests and precinct differences. We examined whether police stops of Black Americans during SQF correspond positively with psychiatric emergency department (ED) visits among Black residents in NYC. We utilized as the exposure all police stops, stops including frisking, and stops including use of force among Black Americans in NYC between 2006 and 2015 from the New York City Police Department's New York City-Stop, Question, and Frisk database. We examined 938,356 outpatient psychiatric ED visits among Black Americans in NYC between 2006 and 2015 from the Statewide Emergency Department Database (SEDD). We applied Box-Jenkins time-series methods to control for monthly temporal patterns. Results indicate that all stops, frisking, and use of force of Black residents correspond with increased psychiatric ED visits among Black Americans in NYC (all stops-coef = 0.024, 95%CI = 0.006, 0.043; frisking-coef = 0.048, 95%CI = 0.015, 0.080; use of force-coef = 0.109, 95%CI = 0.028, 0.190). Our findings indicate that a one standard deviation increase in police stops equates to a 2.72% increase in psychiatric ED visits among Black residents in NYC. Use of force may have the greatest mental health consequences due to perceived threats of physical violence or bodily harm to other members of the targeted group. Racially biased and unconstitutional police encounters may have acute mental health implications for the broader Black community not directly involved in the encounter itself.

A novel approach to estimate the impact of health workforce investments on health outcomes through increased coverage of HIV, TB and malaria services.

BACKGROUND: Globally, HIV, TB and malaria account for an estimated three million deaths annually. The Global Fund partnered with the World Health Organization to assist countries with health workforce planning in these areas through the development of an integrated health workforce investment impact tool. Our study illustrates the development of a user-friendly tool (with two MS Excel calculator subcomponents) that computes associations between human resources for health (HRH) investment inputs and reduced morbidity and mortality from HIV, TB, and malaria via increased coverage of effective treatment services. METHODS: We retrieved from the peer-reviewed literature quantitative estimates of the relation among HRH inputs and HRH employment and productivity. We converted these values to additional full-time-equivalent doctors, nurses and midwives (DNMs). We used log-linear regression to estimate the relation between DNMs and treatment service coverage outcomes for HIV, TB, and malaria. We then retrieved treatment effectiveness parameters from the literature to calculate lives saved due to expanded treatment coverage for HIV, TB, and malaria. After integrating these estimates into the tool, we piloted it in four countries. RESULTS: In most countries with a considerable burden of HIV, TB, and malaria, the health workforce investments include a mix of pre-service education, full remuneration of new hires, various forms of incentives and in-service training. These investments were associated with elevated HIV, TB and malaria treatment service coverage and additional lives saved. The country case studies we developed in addition, indicate the feasibility and utility of the tool for a variety of international and local actors interested in HRH planning. CONCLUSIONS: The modelled estimates developed for illustrative purposes and tested through country case studies suggest that HRH investments result in lives saved across HIV, TB, and malaria. Furthermore, findings show that attainment of high targets of specific treatment coverage indicators would require a substantially greater health workforce than what is currently available in most LMICs. The open access tool can assist with future HRH planning efforts, particularly in LMICs.

Selection in utero against male twins in the United States early in the COVID-19 pandemic.

OBJECTIVES: We aim to contribute to the literature reporting tests of selection in utero. The theory of reproductive suppression predicts that natural selection would conserve mechanisms, referred to collectively as selection in utero, that spontaneously abort fetuses unlikely to thrive as infants in the prevailing environment. Tests of this prediction include reports that women give birth to fewer than expected male twins, historically among the frailest of infants, during stressful times. The onset of the COVID-19 pandemic in the United States in Spring 2020 demonstrably stressed the population. We test the hypothesis that conception cohorts in gestation at the onset of the pandemic in the United States yielded fewer than expected live male twin births. METHODS: We retrieved deidentified data on the universe of live births in the United States from the National Center for Health Statistics birth certificate records. We applied Box-Jenkins time-series methods to the twin secondary sex ratio computed for 77 monthly conception cohorts spanning August 2013 to December 2019 to detect outlying cohorts in gestation at the onset of the pandemic. RESULTS: The twin secondary sex ratio fell below expected values in three conception cohorts (i.e., July, September, and October 2019, all p < .05) exposed in utero to the onset of the pandemic. CONCLUSIONS: Our results add to prior findings consistent with selection in utero. The role of selection in utero in shaping the characteristics of live births cohorts, especially during the COVID-19 pandemic, warrants further scrutiny.

National Trends in Suicides and Male Twin Live Births in the US, 2003 to 2019: An Updated Test of Collective Optimism and Selection in Utero.

Prior research based on Swedish data suggests that collective optimism, as measured by monthly incidence of suicides, correlates inversely with selection in utero against male twins in a population. We test this finding in the US, which reports the highest suicide rate of all high-income countries, and examine whether monthly changes in overall suicides precede changes in the ratio of male twin to male singleton live births. Consistent with prior work, we also examine as a key independent variable, suicides among women aged 15-49 years. We retrieved monthly data on suicides and the ratio of male twin to singleton live births from CDC WONDER, 2003 to 2019, and applied Box-Jenkins iterative time-series routines to detect and remove autocorrelation from both series. Results indicate that a 1% increase in monthly change in overall suicides precedes a 0.005 unit decline in male twin live births ratio 6 months later (coefficient = -.005, p value = .004). Results remain robust to use of suicides among reproductive-aged women as the independent variable (coefficient = -.0012, p value = .014). Our study lends external validity to prior research and supports the notion that a decline in collective optimism corresponds with greater selection in utero.

Stress/depression across the COVID-19 pandemic in Denmark.

BACKGROUND: Global estimates suggest strained mental health during the first year of the COVID-19 pandemic, but the lack of nationally representative and longitudinal data with clinically validated measures limits knowledge longer into the pandemic. METHODS: Data from 10 rounds of nationally representative surveys from Denmark tracked trends in risk of stress/depression from just before the first lockdown and through to April 2022. We focused on age groups and men and women in different living arrangements and controlled for seasonality in mental health that could otherwise be spuriously related to pandemic intensity. RESULTS: Prior to first lockdown, we observed a "parent gap", which closed with the first lockdown. Instead, a gender gap materialized, with women experiencing higher risks than men-and higher than levels predating first lockdown. Older respondents (+ 70 years) experienced increasing risks of stress/depression early in the pandemic, while all other groups experienced decreases. But longer into the pandemic, risks increased for all age groups and reached (and sometimes exceeded) levels from before first lockdown. CONCLUSION: Denmark had low infection rates throughout most of the pandemic, low mortality rates across the entire pandemic, and offered financial aid packages to curb financial strains. Despite this circumstance, initial improvements to mental health during the first lockdown in Denmark were short-lived. Two years of pandemic societal restrictions correspond with deteriorating mental health, as well as a change from a parenthood gap in mental health before first lockdown to a gender gap two years into the pandemic.

Expectations of non-COVID-19 deaths during the pre-vaccine pandemic: a process-control approach.

BACKGROUND: Debate over "social distancing" as a response to the pandemic includes the claim that disrupting clinical and public health programming dependent on human-to-human contact increased non-COVID-19 deaths. This claim warrants testing because novel pathogens will continue to emerge. Tests, however, appear frustrated by lack of a convention for estimating non-COVID-19 deaths that would have occurred had clinical and public health programming during the pre-vaccine pandemic remained as efficacious as in the pre-pandemic era. Intending to hasten the emergence of such a convention, we describe and demonstrate "new-signal, prior-response expectations" suggested by research and methods at the intersection of epidemiology and process control engineering. METHODS: Using German data, we estimate pre-pandemic public health efficacy by applying Box-Jenkins methods to 271 weekly counts of all-cause deaths from December 29 2014 through March 8 2020. We devise new-signal, prior-response expectations by applying the model to weekly non-COVID-19 deaths from March 9 2020 through December 26 2020. RESULTS: The COVID-19 pandemic did not coincide with more non-COVID-19 deaths than expected from the efficacy of responses to pre-pandemic all-cause deaths. CONCLUSIONS: New-signal, prior-response estimates can contribute to evaluating the efficacy of public health programming in reducing non-COVID-19 deaths during the pre-vaccine pandemic.

Psychiatric Emergencies in Los Angeles County During, and After, Initial COVID-19 Societal Restrictions: An Interrupted Time-Series Analysis.

Emergency department (ED) visits for psychiatric care in the US reportedly declined during the COVID-19 pandemic. This work, however, does not control for strong temporal patterning in visits before the pandemic and does not examine a potential "rebound" in demand for psychiatric care following the relaxation of initial societal restrictions. Here, we examine COVID-19-related perturbations in psychiatric care during and after the 1st stage of societal restrictions in the largest safety-net hospital in Los Angeles. We retrieved psychiatric ED visit data (98,888 total over 156 weeks, Jan 2018 to Dec 2020) from Los Angeles County + USC Medical Center. We applied interrupted time series methods to identify and control for autocorrelation in psychiatric ED visits before examining their relation with the 1st stage of societal restrictions (i.e., March 13 to May 8, 2020), as well as the subsequent "rebound" period of relaxed restrictions (i.e., after May 8, 2020). Psychiatric ED visits fell by 78.13 per week (i.e., 12%) during the 1st stage of societal restrictions (SD = 23.99, p < 0.01). Reductions in ED visits for alcohol use, substance use, and (to a lesser extent) anxiety disorders accounted for the overall decline. After the 1st stage of societal restrictions, however, we observe no "rebound" above expected values in psychiatric ED visits overall (coef = - 16.89, SD = 20.58, p = 0.41) or by diagnostic subtype. This pattern of results does not support speculation that, at the population level, foregoing ED care during initial societal restrictions subsequently induced a psychiatric "pandemic" of urgent visits.

Antidepressant Prescription Behavior Among Primary Care Clinician Providers After an Interprofessional Primary Care Psychiatric Training Program.

Primary care providers (PCPs) are increasingly called upon to screen for and treat depression. However, PCPs often lack the training to diagnose and treat depression. We designed an innovative 12-month evidence and mentorship-based primary care psychiatric training program entitled the University of California, Irvine (UCI) School of Medicine Train New Trainers Primary Care Psychiatry (TNT PCP) Fellowship and examined whether this training impacted clinician prescription rates for antidepressants. We retrieved information on 18,844 patients and 192 PCPs from a publicly insured health program in Southern California receiving care between 2017 and 2021. Of the 192 PCPs, 42 received TNT training and 150 did not. We considered a patient as exposed to the provider's TNT treatment if they received care from a provider after the provider completed the 1-year fellowship. We utilized the number of antidepressant prescriptions per patient, per quarter-year as the dependent variable. Linear regression models controlled for provider characteristics and time trends. Robustness checks included clustering patients by provider identification. After PCPs completed TNT training, "exposed" patients received 0.154 more antidepressant prescriptions per quarter-year relative to expected levels (p < 0.01). Clustering of standard errors by provider characteristics reduced precision of the estimate (p < 0.10) but the direction and magnitude of the results were unchanged. Early results from the UCI TNT PCP Fellowship demonstrate enhanced antidepressant prescription behavior in PCPs who have undergone TNT training. A novel, and relatively low-cost, clinician training program holds the potential to empower PCPs to optimally deliver depression treatment.

Patterned Outcomes, Unpatterned Counterfactuals, and Spurious Results: Perinatal Health Outcomes Following COVID-19.

The epidemiologic literature estimating the indirect or secondary effects of the coronavirus disease 2019 (COVID-19) pandemic on pregnant people and gestation continues to grow. Our assessment of this scholarship, however, leads us to suspect that the methods most commonly used may lead researchers to spurious inferences. This suspicion arises because the methods do not account for temporal patterning in perinatal outcomes when deriving counterfactuals, or estimates of the outcomes had the pandemic not occurred. We illustrate the problem in 2 ways. First, using monthly data from US birth certificates, we describe temporal patterning in 5 commonly used perinatal outcomes. Notably, for all but 1 outcome, temporal patterns appear more complex than much of the emerging literature assumes. Second, using data from France, we show that using counterfactuals that ignore this complexity produces spurious results. We recommend that subsequent investigations on COVID-19 and other perturbations use widely available time-series methods to derive counterfactuals that account for strong temporal patterning in perinatal outcomes.

Changes in preterm birth and caesarean deliveries in the United States during the SARS-CoV-2 pandemic.

BACKGROUND: Preliminary studies suggest that the SARS-CoV-2 pandemic and associated social, economic and clinical disruptions have affected pregnancy decision-making and outcomes. Whilst a few US-based studies have examined regional changes in birth outcomes during the pandemic's first months, much remains unknown of how the pandemic impacted perinatal health indicators at the national-level throughout 2020, including during the 'second wave' of infections that occurred later in the year. OBJECTIVES: To describe changes in monthly rates of perinatal health indicators during the 2020 pandemic for the entire US. METHODS: For the years 2015 to 2020, we obtained national monthly rates (per 100 births) for four perinatal indicators: preterm (<37 weeks' gestation), early preterm (<34 weeks' gestation), late preterm (34-36 weeks' gestation) and caesarean delivery. We used an interrupted time-series approach to compare the outcomes observed after the pandemic began (March 2020) to those expected had the pandemic not occurred for March through December of 2020. RESULTS: Observed rates of preterm birth fell below expectation across several months of the 2020 pandemic. These declines were largest in magnitude in early and late 2020, with a 5%-6% relative difference between observed and expected occurring in March and November. For example, in March 2020, the observed preterm birth rate of 9.8 per 100 live births fell below the 95% prediction interval (PI) of the rate predicted from history, which was 10.5 preterm births per 100 live births (95% PI 10.2, 10.7). We detected no changes from expectation in the rate of caesarean deliveries. CONCLUSIONS: Our findings provide nationwide evidence of unexpected reductions in preterm delivery during the 2020 SARS-CoV-2 pandemic in the US. Observed declines below expectation were differed by both timing of delivery and birth month, suggesting that several mechanisms, which require further study, may explain these patterns.

COVID-19 case counts and COVID-19 related Emergency Department visits: differences by immigration status, March-December 2020.

BACKGROUND: Undocumented immigrants face barriers to health care access, which may have been exacerbated during the early days of the COVID-19 pandemic. We test whether undocumented immigrants in Los Angeles County accessed COVID-19 related medical care by examining their Emergency Department (ED) patterns through high and low periods of COVID-19 infection. If undocumented immigrants were underutilizing or foregoing health care, we expect null or weaker associations between COVID-19 cases and COVID-19 related ED visits relative to Medi-Cal patients. METHODS: We analyzed all ED visits to the Los Angeles County + University of Southern California (LAC + USC) Medical Center between March - December 2020 (n = 85,387). We conducted logistic regressions with Los Angeles County weekly COVID-19 case counts as our main independent variable and an interaction between case counts and immigration status, stratified by age (over and under 65 years). RESULTS: We found that undocumented immigrants under 65 years old had a higher odds for a COVID-19 related ED visit compared to Medi-Cal patients and that both undocumented and Medi-Cal patients had higher odds of a COVID-19 related ED visit as COVID-19 cases in Los Angeles County increased. For patients over 65 years, Medi-Cal patients actually had a weaker association between ED visits and county COVID-19 counts; as COVID-19 case counts rose, the odds of a COVID-19 related ED visit increased for the undocumented patients. CONCLUSION: While the overall likelihood of undocumented patients having a COVID-19 related ED visit varies compared to Medi-Cal patients - for younger patients, the odds is higher; for older patients, the odds is lower - it does not appear that undocumented patients underutilized the ED during the early COVID-19 pandemic relative to Medi-Cal patients. The ED may be a viable source of contact for this high-risk population for future outreach.

Predictors of Test Positivity, Mortality, and Seropositivity during the Early Coronavirus Disease Epidemic, Orange County, California, USA.

We conducted a detailed analysis of coronavirus disease in a large population center in southern California, USA (Orange County, population 3.2 million), to determine heterogeneity in risks for infection, test positivity, and death. We used a combination of datasets, including a population-representative seroprevalence survey, to assess the actual burden of disease and testing intensity, test positivity, and mortality. In the first month of the local epidemic (March 2020), case incidence clustered in high-income areas. This pattern quickly shifted, and cases next clustered in much higher rates in the north-central area of the county, which has a lower socioeconomic status. Beginning in April 2020, a concentration of reported cases, test positivity, testing intensity, and seropositivity in a north-central area persisted. At the individual level, several factors (e.g., age, race or ethnicity, and ZIP codes with low educational attainment) strongly affected risk for seropositivity and death.

Monitoring outpatient antibiotic utilization using reimbursement and retail sales data: a population-based comparison in France, 2012-17.

OBJECTIVES: To assess whether a retail sales database could be used to monitor antibiotic utilization in the outpatient setting at the national level. METHODS: We extracted 2012-17 outpatient antibiotic extrapolated retail sales (IQVIA's Xponent) and reimbursement data from the National Health Insurance (SNDS) in metropolitan France. We compared estimates of antibiotic use and consumption [number of antibiotic drug deliveries (DrID) and defined daily doses (DID) per 1000 inhabitants per day]. We relied on relative differences, Pearson's r statistics and time series using autoregressive integrated moving average (ARIMA) modelling to study: (i) differences in point estimates, (ii) correlation, and (iii) consistency in time trends between Xponent and SNDS. The analysis was conducted overall and in subgroups (age groups, therapeutic classes, major antimicrobial agents and regions). RESULTS: We analysed approximately 377 million antibiotic drug deliveries, comprising nearly 3.4 billion DDDs. Overall, Xponent slightly overestimated SNDS point estimates with yearly relative differences of +3.5% for DrID and +3.3% for DID. Peaks in relative differences were observed for July and August months. Relative differences were <5% in most subgroups, except for fosfomycin and three French regions. Overall and across most subgroups, the correlation between Xponent and SNDS monthly aggregated estimates was almost perfect (r ≥ 0.992 for all subgroups, except for one region). ARIMA modelling showed high consistency between Xponent's and SDNS's DrID time series, but detected timepoints where the series significantly diverged. CONCLUSIONS: IQVIA's Xponent and SNDS data were highly consistent. Xponent database seems suitable for monitoring outpatient antibiotic utilization in France.

SARS-CoV-2: An Empirical Investigation of Rose's Population-based Logic.

BACKGROUND: Geoffrey Rose's paper "Sick Individuals, Sick Populations" highlights the counterintuitive finding that the largest share of morbidity arises from populations engaging in low- to moderate-risk behavior. Scholars refer to this finding as the prevention paradox. We examine whether this logic applies to SARS-CoV-2 infected persons considered low to moderate risk. METHODS: We conducted a population-representative survey and sero-surveillance study for SARS-CoV-2 among adults in Orange County, California. Participants answered questions about health behaviors and provided a finger-pin-prick sample from 10 July to 16 August 2020. RESULTS: Of the 2979 adults, those reporting low- and moderate-risk behavior accounted for between 78% and 92% of SARS-CoV-2 infections. Asymptomatic individuals, as well as persons with low and moderate scores for self-reported likelihood of having had SARS-CoV-2, accounted for the majority of infections. CONCLUSIONS: Our findings support Rose's logic, which encourages public health measures among persons who self-identify as unlikely to have SARS-CoV-2. See video abstract at, http://links.lww.com/EDE/B860.