SARS-CoV-2 antibody prevalence, correlates, and access to harm reduction services among people who inject drugs living with and without HIV and their partners in Kenya.

BACKGROUND: In sub-Saharan Africa many people who inject drugs (PWID) are living with undiagnosed or untreated HIV and experience high levels of poverty and conditions that can contribute to worse outcomes from SARS-CoV-2 infection. Identifying the burden of SARS-CoV-2 infection in marginalized populations like PWID may contribute to controlling the pandemic. METHODS: This is a nested cross-sectional study within an ongoing cohort study that recruits PWID living with HIV and their injecting and/or sexual partners at needle and syringe program sites and methadone clinics in Kenya. Blood samples were collected from consenting participants at enrollment to determine SARS-CoV-2 antibodies using a Platellia BioRad SARS-CoV-2 total antibody enzyme-linked immunosorbent assay. Baseline data were collected on HIV status, antiretroviral therapy and methadone adherence. We used logistic regression to identify factors associated with antibody positivity and descriptive statistics to report SARS-CoV-2 antibody prevalence. RESULTS: One thousand participants were enrolled between April and July 2021, of whom 323 (32.3%) were women and 677 (67.7%) were men. Median age of participants was 36 years (interquartile range: 30, 42). SARS-CoV-2 antibody positivity was found in 309 (30.9%) participants. Disruption in obtaining methadone service was reported by 106 (24.3%) of the participants. Men were significantly less likely than women to have SARS-CoV-2 antibodies (adjusted odds ratio [aOR] = 0.68, 95% confidence interval [CI] 0.51, 0.95; p < 0.01) Participants who reported a sexual or injecting partner diagnosed with SARS-CoV-2 were twofold more likely to have SARS-CoV-2 antibodies detected (aOR = 2.21, 95% CI 1.06, 4.58; p < 0.032). Living with HIV was not associated with presence of SARS-CoV-2 antibodies. CONCLUSION: The seroprevalence of SARS-CoV-2 of 30.9% in this cohort suggests high transmission rates within this population. SARS-CoV-2 seroprevalence was similar for people living with and without HIV. A large portion of this population was noted to have had disruption in access to harm reduction services.

Navigating the Storm of COVID-19 Literature Through Academic-Practice Partnership in Washington State: The COVID-19 Literature Situation Report.

CONTEXT: Shortly after the first COVID-19 case in the United States was identified in Washington, the Washington State Department of Health (WA DOH) determined that real-time knowledge of scientific findings related to SARS-CoV-2 was critical for an effective response. Epidemiologists at the WA DOH established the Daily Literature Situation Report (Lit Rep), within the agency's incident management team, to support public health and state leaders in evidence-based decision making. However, from January to May, the scale of the pandemic response and daily volume of emerging information grew beyond the capacity of the WA DOH epidemiology team tasked with gathering, reviewing, summarizing, and disseminating it daily. OBJECTIVE: To ensure public health leaders maintained awareness of the rapidly evolving scientific literature during the pandemic to support evidence-based practice. DESIGN: The WA DOH contracted the University of Washington (UW) Alliance for Pandemic Preparedness to assemble a team of faculty and students to continue producing the Lit Rep. MAIN OUTCOME: In addition to the daily Lit Rep, the UW team developed in-depth reports addressing questions from public health leadership and further evolved the methodology for the daily reports to support long-term sustainability and broader accessibility. RESULTS: Throughout its existence, the Lit Rep had summarized more than 4300 articles from more than 150 000 citations and had more than 5600 subscribers from public health practice, academia, and the general public, both domestic and international. CONCLUSIONS: The flexible Lit Rep model sets a standard for responding to emerging public health threats and communicating complex scientific information to government leaders, public health staff, and other interested parties. The WA DOH and the UW have exemplified how a mutually beneficial partnership can be established to support more effective public health practice based on real-time evidence both during a crisis and potentially for future public health challenges.

Comparing Methods for Record Linkage for Public Health Action: Matching Algorithm Validation Study.

BACKGROUND: Many public health departments use record linkage between surveillance data and external data sources to inform public health interventions. However, little guidance is available to inform these activities, and many health departments rely on deterministic algorithms that may miss many true matches. In the context of public health action, these missed matches lead to missed opportunities to deliver interventions and may exacerbate existing health inequities. OBJECTIVE: This study aimed to compare the performance of record linkage algorithms commonly used in public health practice. METHODS: We compared five deterministic (exact, Stenger, Ocampo 1, Ocampo 2, and Bosh) and two probabilistic record linkage algorithms (fastLink and beta record linkage [BRL]) using simulations and a real-world scenario. We simulated pairs of datasets with varying numbers of errors per record and the number of matching records between the two datasets (ie, overlap). We matched the datasets using each algorithm and calculated their recall (ie, sensitivity, the proportion of true matches identified by the algorithm) and precision (ie, positive predictive value, the proportion of matches identified by the algorithm that were true matches). We estimated the average computation time by performing a match with each algorithm 20 times while varying the size of the datasets being matched. In a real-world scenario, HIV and sexually transmitted disease surveillance data from King County, Washington, were matched to identify people living with HIV who had a syphilis diagnosis in 2017. We calculated the recall and precision of each algorithm compared with a composite standard based on the agreement in matching decisions across all the algorithms and manual review. RESULTS: In simulations, BRL and fastLink maintained a high recall at nearly all data quality levels, while being comparable with deterministic algorithms in terms of precision. Deterministic algorithms typically failed to identify matches in scenarios with low data quality. All the deterministic algorithms had a shorter average computation time than the probabilistic algorithms. BRL had the slowest overall computation time (14 min when both datasets contained 2000 records). In the real-world scenario, BRL had the lowest trade-off between recall (309/309, 100.0%) and precision (309/312, 99.0%). CONCLUSIONS: Probabilistic record linkage algorithms maximize the number of true matches identified, reducing gaps in the coverage of interventions and maximizing the reach of public health action.

Summary of School Re-Opening Models and Implementation Approaches During the COVID 19 Pandemic

From the Document: Schools closed in many countries for some period of time during the COVID-19 [coronavirus disease 2019] pandemic as part of mitigation efforts to reduce transmission of SARS-CoV-2 [severe acute respiratory syndrome coronavirus 2]. Currently, a number of countries have fully or partially re-opened schools or are in the process of doing so. This document is a brief summary of the models and implementation approaches to re-opening schools that focuses on the approaches used in 15 countries for which data were available. Our systematic search of the published and pre-print literature yielded very few articles that address this topic and so this summary relies heavily on news articles and 'grey literature' sources. It includes news articles, manuscripts published in peer-reviewed Journals or on pre-print servers, and other resources identified through July 6, 2020.COVID-19 (Disease);School closings;Distance education;Schools--Safety measures