Leveraging PEPFAR-Supported Health Information Systems for COVID-19 Pandemic Response.

Since 2003, the US President's Emergency Plan for AIDS Relief (PEPFAR) has supported implementation and maintenance of health information systems for HIV/AIDS and related diseases, such as tuberculosis, in numerous countries. As the COVID-19 pandemic emerged, several countries conducted rapid assessments and enhanced existing PEPFAR-funded HIV and national health information systems to support COVID-19 surveillance data collection, analysis, visualization, and reporting needs. We describe efforts at the US Centers for Disease Control and Prevention (CDC) headquarters in Atlanta, Georgia, USA, and CDC country offices that enhanced existing health information systems in support COVID-19 pandemic response. We describe CDC activities in Haiti as an illustration of efforts in PEPFAR countries. We also describe how investments used to establish and maintain standards-based health information systems in resource-constrained settings can have positive effects on health systems beyond their original scope.

From Vaccines to Vitality: The Progression of a Community-Academic Collaboration.

In this practice note, we document the progression of the Community Vaccine Collaborative (CVC), on which we first published in 2021. The CVC convened to address deep COVID-19-related disparities affecting the Black, Latine, immigrant/refugee, and lesbian, gay, bisexual, transgender, queer, (questioning), intersex, asexual, and (agender) (LGBTQIA+) communities. The COVID-19 pandemic is rooted in centuries of oppression and marginalization leading to inequities and required dedicated focus to support marginalized communities in times of crisis. The CVC comprises community members, community-based organizations, health care providers, researchers, health systems leaders, and public health practitioners (among others), all of whom are dedicated to promoting COVID-19 vaccine equity. As the pandemic shifts and changes, so too has our group, to remain relevant to community needs and priorities. This article details Year 2 of the CVC, focusing on how we have grown and sustained this unique partnership. We also share results from an evaluation of the CVC, documenting participation in the collaborative space and alignment with CVC core principles. Finally, we discuss next steps and implications for the CVC including our pivot from vaccines to community vitality as we expand and sustain our collaborative efforts to address the ongoing COVID-19 pandemic and intersecting public health crises.

Cytokine response over the course of COVID-19 infection in pregnant women.

OBJECTIVE: To study how severity and progression of coronavirus disease (COVID-19) affect cytokine profiles in pregnant women. MATERIALS AND METHODS: 69 third-trimester, pregnant women were tested for COVID-19 infection and SARS-CoV-2 specific IgM and IgG antibodies. Patients were stratified according to SARS-CoV-2 Reverse Transcriptase-PCR (RT-PCR) status and serology (IgM and IgG) status. Cytokines G-CSF, HGF, IL-18, IL-1Ra, IL-2Ra, IL-8, and IP-10 were measured via ELISA. Retrospective chart review for COVID-19 symptoms and patient vitals was conducted, and cytokine levels were compared between SARS-CoV-2 positive and negative cohorts, by seronegative and seropositive infection, by time course since onset of infection, and according to NIH defined clinical severity. RESULTS: IL-18, IL-1Ra, and IP-10 increased in the 44 RT-PCR positive pregnant women compared to the 25 RT-PCR negative pregnant controls. Elevated cytokine levels were found in early infections, defined by positive RT-PCR and seronegative status, and higher cytokine levels were also associated with more severe disease. By IgM seroconversion, IL-8 and IP-10 returned to levels seen in uninfected patients, while IL-18 levels remained significantly elevated. CONCLUSION: Cytokine profiles of third-trimester pregnant women vary with the time course of infection and are correlated with clinical severity.

A Brief, Mobile Intervention to Decrease Depression and Loneliness and Improve Relationship Quality During the Covid-19 Pandemic

Introduction: Effective, scalable interventions to address depression and loneliness and improve the quality of social relationships are needed for public health in pandemic and non-pandemic contexts. Towards this end, a randomized, controlled trial tested a mobile-based intervention, derived from social psychological and relationship science, for improving relational well-being and decreasing depression and loneliness. Methods: Participants were randomly assigned to either intervention (n = 719) or assessment only (n = 701) conditions and completed daily diary surveys for 28 days in the midst of the first wave of the Covid-19 pandemic. In the middle 14 days of the study, intervention participants received daily text-message suggestions for improving relational and mental well-being. Results: Results indicated that the intervention decreased depression and loneliness and improved relationships during the intervention period but these changes were not sustained when the intervention ceased. Discussion: Results are encouraging in that evidence-based suggestions can be scaled effectively but additional efforts are required to sustain improvements over time.

Objectively measured digital technology use during the COVID-19 pandemic: Impact on depression, anxiety, and suicidal ideation among young adults.

BACKGROUND: Research suggests that the disruptions introduced by the COVID-19 pandemic have led to increased psychological distress and time spent on digital technology among young people, thus intensifying pre-pandemic concerns regarding the putative effects of digital technology use on mental health. To robustly examine whether increases in digital technology use are associated with increases in psychological distress during the pandemic it is crucial to (1) collect objective data on digital technology use and (2) account for potential confounding caused by pandemic-related stressors. METHODS: We conducted a four-wave panel study of U.S. young adults (N=384; Mage = 24.5 ± 5.1; 57% female) from August-November of 2020. Participants provided screenshots of their iPhone "Screen Time" application and completed measures assessing current mental health status (depression, anxiety, and suicidal ideation) and pandemic-related impacts on well-being. We used random-intercept multilevel models to examine the within- and between-person associations between mental health, objective digital technology use, and pandemic-related stressors. RESULTS: Multilevel analyses revealed that none of the objectively-measured digital technology use variables were positively associated with depression, anxiety, or suicidal ideation at the within- or between-person levels. In contrast, pandemic-related impacts on mental health had by far the largest effects on depression, anxiety, and suicidal ideation. LIMITATIONS: The convenience-based sample and use of single-item measures of pandemic-related impacts are limitations of the study. CONCLUSIONS: Current speculations about the direct harms of digital technology use on mental health may be unfounded and risk diverting attention from a more likely cause: pandemic-related distress.