Social-geographic disparities in suicidal ideations among methamphetamine users in the USA.

IMPORTANCE: Methamphetamine use is a growing public health concern nationwide. Suicide is the second leading cause of death in 2019 for US citizens aged 10-14 years and 25-34 years and is also a significant public health concern. Understanding the intersection of methamphetamine use and suicidal ideation (SI) is necessary to develop public health and policy solutions that mitigate these ongoing severe public health issues. OBJECTIVE: Our objective was to examine SI in methamphetamine users to allow us to determine prevalence and trends by age, sex, race, and geographical region. DESIGN, SETTINGS, AND PARTICIPANTS: Using data collected between 2008 and 2019 from the National Inpatient Sample (NIS) database, we identified hospital admissions (HA) of patients ≥18 years of age with a primary or secondary diagnosis of SI who were also diagnosed as methamphetamine users. Those who used other substances with methamphetamine were excluded from the analysis. MAIN OUTCOME AND MEASURES: To determine the trend and prevalence of hospital admissions due to SI and SI among methamphetamine users, we used trend weights to calculate the national estimates and performed design-based analysis to account for complex survey design and sampling weights on data collected between 2008 and 2019 in the US. RESULTS: The prevalence ratio (PR) of hospitalizations with concurrent SI and methamphetamine use increased 16-fold from 2008 to 2019. The most significant increase occurred between 2015 and 2016; the PR doubled from 6.07 to 12.14. The PR of hospitalizations with concurrent SI and methamphetamine use was highest in patients aged 26-40 (49.08%) and 41-64 (28.49%). Patients aged 41-64 showed the most significant increase from 2008 to 2019 (15.8-fold). While non-Hispanic White patients comprised most of these hospitalizations (77.02%), non-Hispanic Black patients showed the highest proportional increase (39.1-fold). The Southern and Western regions in the US showed the highest PR for these hospitalizations (34.86% and 34.31%, respectively). CONCLUSION AND RELEVANCE: Our findings indicate that SI in methamphetamine users has been increasing for some time and is likely to grow. In addition, our results suggest that these patients are demographically different. Both conditions are associated with a lesser likelihood of seeking and receiving care. Therefore, when addressing increased SI or methamphetamine use, learning more about patients who share both conditions is necessary to ensure proper care.

A collaborative approach to improving representation in viral genomic surveillance.

The lack of routine viral genomic surveillance delayed the initial detection of SARS-CoV-2, allowing the virus to spread unfettered at the outset of the U.S. epidemic. Over subsequent months, poor surveillance enabled variants to emerge unnoticed. Against this backdrop, long-standing social and racial inequities have contributed to a greater burden of cases and deaths among minority groups. To begin to address these problems, we developed a new variant surveillance model geared toward building 'next generation' genome sequencing capacity at universities in or near rural areas and engaging the participation of their local communities. The resulting genomic surveillance network has generated more than 1,000 SARS-CoV-2 genomes to date, including the first confirmed case in northeast Louisiana of Omicron, and the first and sixth confirmed cases in Georgia of the emergent BA.2.75 and BQ.1.1 variants, respectively. In agreement with other studies, significantly higher viral gene copy numbers were observed in Delta variant samples compared to those from Omicron BA.1 variant infections, and lower copy numbers were seen in asymptomatic infections relative to symptomatic ones. Collectively, the results and outcomes from our collaborative work demonstrate that establishing genomic surveillance capacity at smaller academic institutions in rural areas and fostering relationships between academic teams and local health clinics represent a robust pathway to improve pandemic readiness.

Using the social vulnerability index to assess COVID-19 vaccine uptake in Louisiana.

Using data from the Louisiana Department of Public Health, we explored the spatial relationships between the Social Vulnerability Index (SVI) and COVID-19-related vaccination and mortality rates. Publicly available COVID-19 vaccination and mortality data accrued from December 2020 to October 2021 was downloaded from the Louisiana Department of Health website and merged with the SVI data; geospatial analysis was then performed to identify the spatial association between the SVI and vaccine uptake and mortality rate. Bivariate Moran's I analysis revealed significant clustering of high SVI ranking with low COVID-19 vaccination rates (1.00, p < 0.001) and high smoothed mortality rates (0.61, p < 0.001). Regression revealed that for each 10% increase in SVI ranking, COVID-19 vaccination rates decreased by 3.02-fold (95% CI = 3.73-2.30), and mortality rates increased by a factor of 1.19 (95% CI = 0.99-1.43). SVI values are spatially linked and significantly associated with Louisiana's COVID-19-related vaccination and mortality rates. We also found that vaccination uptake was higher in whites than in blacks. These findings can help identify regions with low vaccination rates and high mortality, enabling the necessary steps to increase vaccination rates in disadvantaged neighborhoods.

A collaborative approach to improve representation in viral genomic surveillance.

The lack of routine viral genomic surveillance delayed the initial detection of SARS-CoV-2, allowing the virus to spread unfettered at the outset of the U.S. epidemic. Over subsequent months, poor surveillance enabled variants to emerge unnoticed. Against this backdrop, long-standing social and racial inequities have contributed to a greater burden of cases and deaths among minority groups. To begin to address these problems, we developed a new variant surveillance model geared toward building microbial genome sequencing capacity at universities in or near rural areas and engaging the participation of their local communities. The resulting genomic surveillance network has generated more than 1,000 SARS-CoV-2 genomes to date, including the first confirmed case in northeast Louisiana of Omicron, and the first and sixth confirmed cases in Georgia of the emergent BA.2.75 and BQ.1.1 variants, respectively. In agreement with other studies, significantly higher viral gene copy numbers were observed in Delta variant samples compared to those from Omicron BA.1 variant infections, and lower copy numbers were seen in asymptomatic infections relative to symptomatic ones. Collectively, the results and outcomes from our collaborative work demonstrate that establishing genomic surveillance capacity at smaller academic institutions in rural areas and fostering relationships between academic teams and local health clinics represent a robust pathway to improve pandemic readiness. Author summary: Genomic surveillance involves decoding a pathogen’s genetic code to track its spread and evolution. During the pandemic, genomic surveillance programs around the world provided valuable data to scientists, doctors, and public health officials. Knowing the complete SARS-CoV-2 genome has helped detect the emergence of new variants, including ones that are more transmissible or cause more severe disease, and has supported the development of diagnostics, vaccines, and therapeutics. The impact of genomic surveillance on public health depends on representative sampling that accurately reflects the diversity and distribution of populations, as well as rapid turnaround time from sampling to data sharing. After a slow start, SARS-CoV-2 genomic surveillance in the United States grew exponentially. Despite this, many rural regions and ethnic minorities remain poorly represented, leaving significant gaps in the data that informs public health responses. To address this problem, we formed a network of universities and clinics in Louisiana, Georgia, and Mississippi with the goal of increasing SARS-CoV-2 sequencing volume, representation, and equity. Our results demonstrate the advantages of rapidly sequencing pathogens in the same communities where the cases occur and present a model that leverages existing academic and clinical infrastructure for a powerful decentralized genomic surveillance system.

COVID-19 drive-through mass vaccination in Northwest Louisiana.

Background: Vaccinating susceptible populations quickly and safely is vital during a pandemic. Mass vaccination programs using a drive-through method have been shown to reach large numbers of people efficiently during vaccine campaigns. Methods: We performed a quantitative, cross-sectional study analyzing data collected by the COVID-19 mass vaccination program conducted by Louisiana State University Health Shreveport (LSUSH). Results: Between December 2020 and September 2021, the vaccination program administered 90,655 COVID-19 vaccines. Among those who received at least the first dose of the vaccine, there were 21,700 men and 28,269 women; 22,820 were ≥60 years of age; 28,031 identified as Caucasian, 19,249 as African American, 47,916 as non-Hispanic, and most of them reported that they had not tested positive for COVID-19 before vaccination. Discussion: The LSUHS vaccination center served people from different regions within Louisiana as well as those from outside Louisiana. Vaccination is a crucial public health measure in the fight against the COVID-19 pandemic. Conclusions: Our study showed that the mass vaccination program conducted by LSUHS had a considerable positive impact on communities in Northwest Louisiana. This drive-through method is an effective strategy with which to reach a significant number of people during a pandemic.

Emergence in late 2020 of multiple lineages of SARS-CoV-2 Spike protein variants affecting amino acid position 677.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein (S) plays critical roles in host cell entry. Non-synonymous substitutions affecting S are not uncommon and have become fixed in a number of SARS-CoV-2 lineages. A subset of such mutations enable escape from neutralizing antibodies or are thought to enhance transmission through mechanisms such as increased affinity for the cell entry receptor, angiotensin-converting enzyme 2 (ACE2). Independent genomic surveillance programs based in New Mexico and Louisiana contemporaneously detected the rapid rise of numerous clade 20G (lineage B.1.2) infections carrying a Q677P substitution in S. The variant was first detected in the US on October 23, yet between 01 Dec 2020 and 19 Jan 2021 it rose to represent 27.8% and 11.3% of all SARS-CoV-2 genomes sequenced from Louisiana and New Mexico, respectively. Q677P cases have been detected predominantly in the south central and southwest United States; as of 03 Feb 2021, GISAID data show 499 viral sequences of this variant from the USA. Phylogenetic analyses revealed the independent evolution and spread of at least six distinct Q677H sub-lineages, with first collection dates ranging from mid-August to late November 2020. Four 677H clades from clade 20G (B.1.2), 20A (B.1.234), and 20B (B.1.1.220, and B.1.1.222) each contain roughly 100 or fewer sequenced cases, while a distinct pair of clade 20G clusters are represented by 754 and 298 cases, respectively. Although sampling bias and founder effects may have contributed to the rise of S:677 polymorphic variants, the proximity of this position to the polybasic cleavage site at the S1/S2 boundary are consistent with its potential functional relevance during cell entry, suggesting parallel evolution of a trait that may confer an advantage in spread or transmission. Taken together, our findings demonstrate simultaneous convergent evolution, thus providing an impetus to further evaluate S:677 polymorphisms for effects on proteolytic processing, cell tropism, and transmissibility.