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Abstract Background The Omicron variant of SARS-CoV-2, currently the most prevalent strain, has rapidly spread in Jingzhou, China, due to changes in the country’s epidemic prevention policy, resulting in an unprecedented increase in cases. Previous studies reported hematological parameters’ predictive value in COVID-19 severity and prognosis, but their relevance for early diagnosis in patients infected by the Omicron variant, particularly in high-risk pneumonia cases, remains unclear. Our study aimed to evaluate these parameters as early warning indicators for Omicron-infected patients in fever clinics and those with pulmonary infections (PI). Methods A total of 2,021 COVID-19 patients admitted to the fever clinic and infectious disease department of Jingzhou Hospital Affiliated to Yangtze University from November 1, 2022, to December 31, 2022, were retrospectively recruited. Demographic and hematological parameters were obtained from the electronic medical records of eligible patients. These hematological parameters were analyzed by receiver operating characteristic (ROC) curves to determine whether they can be used for early diagnosis of COVID-19 patients in fever clinics and the presence of PI in COVID-19 patients. Results Statistical differences in hematological parameters were observed between COVID-19 patients with fever and PI and control groups (P 

The last time that an infectious disease ranked in the top five causes of death in Australia was in 1970 (influenza and pneumonia combined). However, COVID-19, after being successfully kept under control when Australia closed borders between 2020 and 2021, has surged into the top three causes of death in 2022. There were 9859 deaths due to COVID-19 registered in Australia in 2022, and the infection was mentioned as a contributing factor on a further 2782 death certificates. Ischaemic heart disease (19 858 deaths) and dementia, including Alzheimer\'s disease (17 106 deaths), were the only top two causes of death above COVID-19.

Addition of ravulizumab to BSC did not improve survival or other secondary outcomes. Safety findings were consistent with the known safety profile of ravulizumab in its approved indications. Despite the lack of efficacy, the study adds value for future research into complement therapeutics in critical illnesses by showing that C5 inhibition can be accomplished in severely ill patients.

Neither baricitinib nor ravulizumab, as administered in this study, was effective in reducing disease severity in patients selected for severe COVID-19. Safety was similar between treatments and standard of care. The short period of dosing with baricitinib might explain the discrepancy between our findings and those of other trials. The therapeutic potential of targeting complement C5 activation product C5a, rather than the cleavage of C5, warrants further evaluation.

Although this trial did not meet the predefined efficacy criteria for success, dNS1-RBD was well tolerated and protective against omicron variants, both as a primary immunisation and as a heterologous booster.

By mid-April, 2023, individuals previously vaccinated only with wild-type vaccines had little protection against COVID-19—including hospital admission. A BNT162b2 BA.4/5 bivalent booster restored protection against a range of COVID-19 outcomes, including against XBB-related sublineages, with the most substantial protection observed against hospital admission and critical illness.

Post-COVID-19 condition (also known as long COVID) is a new, complex, and poorly understood disorder. A core outcome set (COS) for post-COVID-19 condition in adults has been developed and agreement is now required on the most appropriate measurement instruments for these core outcomes. We conducted an international consensus study involving multidisciplinary experts and people with lived experience of long COVID. The study comprised a literature review to identify measurement instruments for the core outcomes, a three-round online modified Delphi process, and an online consensus meeting to generate a core outcome measurement set (COMS).

by Muntequa Imtiaz Siraji, Ahnaf Akif Rahman, Mirza Muntasir Nishat, Md Abdullah Al Mamun, Fahim Faisal, Lamim Ibtisam Khalid, Ashik Ahmed Depression is a psychological state of mind that often influences a person in an unfavorable manner. While it can occur in people of all ages, students are especially vulnerable to it throughout their academic careers. Beginning in 2020, the COVID-19 epidemic caused major problems in people’s lives by driving them into quarantine and forcing them to be connected continually with mobile devices, such that mobile connectivity became the new norm during the pandemic and beyond. This situation is further accelerated for students as universities move towards a blended learning mode. In these circumstances, monitoring student mental health in terms of mobile and Internet connectivity is crucial for their wellbeing. This study focuses on students attending an International University of Bangladesh to investigate their mental health due to their continual use of mobile devices (e.g., smartphones, tablets, laptops etc.). A cross-sectional survey method was employed to collect data from 444 participants. Following the exploratory data analysis, eight machine learning (ML) algorithms were used to develop an automated normal-to-extreme severe depression identification and classification system. When the automated detection was incorporated with feature selection such as Chi-square test and Recursive Feature Elimination (RFE), about 3 to 5% increase in accuracy was observed by the method. Similarly, a 5 to 15% increase in accuracy has been observed when a feature extraction method such as Principal Component Analysis (PCA) was performed. Also, the SparsePCA feature extraction technique in combination with the CatBoost classifier showed the best results in terms of accuracy, F1-score, and ROC-AUC. The data analysis revealed no sign of depression in about 44% of the total participants. About 25% of students showed mild-to-moderate and 31% of students showed severe-to-extreme signs of depression. The results suggest that ML models, incorporating a proper feature engineering method can serve adequately in multi-stage depression detection among the students. This model might be utilized in other disciplines for detecting early signs of depression among people.

Abstract Background Coronavirus disease 2019 (COVID-19) pandemic affected malaria control activities in sub-Saharan Africa (SSA) resulting in 690,000 excess deaths in the year 2021. The authors hypothesized that COVID-19 affected the World Health Organization (WHO) Test, Treat and Track (T3) strategy that has been implemented in Uganda since 2010. In this study, health worker’s adherence to the T3 strategy during COVID-19 pandemic in Eastern Uganda was studied by assessing their knowledge, skills and practices. Methods A cross-sectional study utilizing mixed quantitative and qualitative data collections methods was conducted at Mbale Regional Referral Hospital in Eastern Uganda between November and December in 2020. Data were captured on demographics, knowledge, skills and practices for both health workers (HWs) and patients. Quantitative data were analysed using STATA 15.0 and reported as descriptive statistics, proportions and statistical associations. Moreover, qualitative data were collected via key informant interviews (KII) among purposively sampled study participants and analysed thematically using NVIVO software. Ethical approval was obtained prior to the study. Results A total of 436 study participants, of whom 103/436 (24%) and 333/436 (76%) were HWs and patients, respectively were studied. Among the HWs with mean age of 34 years (SD = 8.8 years), 81/103 (79%) had good practices, most 63/103 (61%) had good knowledge, and only 11/103 (10.7%) had good skills. Specifically, on the cadres, the laboratory personnel 19/103 (18%) had good knowledge 14/19 (74%) OR: 2.0 (95% CI 0.7–6) and were highly skilled OR: 4.6 (95% CI 1.2—18.1; P 

COVID-19 patients display a broad clinical spectrum, from asymptomatic infections to critical [1, 2]; the pathophysiology that explains these differences between individuals needs to be clarified. Some authors focus on the innate immune response that acts as the first line of defense against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), sensing the virus through pattern recognition receptors (PRR) like Toll-like receptors (TLR) and activating inflammatory pathways that promote viral clearance [3].

Although it has been reported that repeated boosting with mRNA-based COVID-19 vaccines has been protective [1], some concerns about repeated vaccination of mRNA-based COVID-19 vaccines have emerged. Repeated vaccination with COVID-19 vaccines back-boosts previous memory and dampens the immune response to a new antigenically related but distinct virus strain, so-called vaccine-induced immune imprinting or original antigenic sin [2]. It has been also reported that the class switches toward noninflammatory, spike-specific IgG4 antibodies (Ab) after repeated SARS-CoV-2 mRNA-type vaccination [3-5].

Immune checkpoint inhibitor (ICI) use steadily increased since early reports describing marked efficacy [1]. They are now a mainstay treatment of several cancer types. Since the start of the SARS-CoV-2 pandemic, questions persisted of whether and how immune enhancing properties of ICIs impact outcomes in cancer patients with Coronavirus Disease 2019 (COVID-19) [2-4]. In particular, considering the cytokine-release syndrome (CRS) as the major event driving the deranged immune response underlying severe COVID-19, the major concerns were related to the possible exacerbating effect of cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and programmed death-1 / programmed death ligand-1 (PD-1/PD-L1) checkpoint inhibitors [5].

During the coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), different vaccines have been successfully developed [1-3]. Although neutralizing antibodies provide the first line of antiviral defense [4, 5], spike-specific antibody titers tend to wane quickly and show limited neutralizing activity against newly arising variants of concern (VOCs) [6]. In contrast, T cells were shown to mediate long-term immunity that is largely conserved against VOCs after SARS-CoV-2 infection and vaccination [4, 7].

Abstract Purpose The COVID-19 pandemic caused by the novel Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) has put the world in a medical crisis for the past three years; nearly 6.3 million lives have been diminished due to the virus outbreak. This review aims to update the recent findings on COVID-19 infections from an epigenetic scenario and develop future perspectives of epi-drugs to treat the disease. Methods Original research articles and review studies related to COVID-19 were searched and analyzed from the Google Scholar/PubMed/Medline databases mainly between 2019 and 2022 to brief the recent work. Results Numerous in-depth studies of the mechanisms used by SARS-CoV-2 have been going on to minimize the consequences of the viral outburst. Angiotensin-Converting Enzyme 2 receptors and Transmembrane serine protease 2 facilitate viral entry to the host cells. Upon internalization, it uses the host machinery to replicate viral copies and alter the downstream regulation of the normal cells, causing infection-related morbidities and mortalities. In addition, several epigenetic regulations such as DNA methylation, acetylation, histone modifications, microRNA, and other factors (age, sex, etc.) are responsible for the regulations of viral entry, its immune evasion, and cytokine responses also play a major modulatory role in COVID-19 severity, which has been discussed in detail in this review. Conclusion Findings of epigenetic regulation of viral pathogenicity open a new window for epi-drugs as a possible therapeutical approach against COVID-19. …

Abstract Purpose We aimed to assess symptoms in patients after SARS-CoV-2 infection and to identify factors predicting prolonged time to symptom-free. Methods COVIDOM/NAPKON-POP is a population-based prospective cohort of adults whose first on-site visits were scheduled ≥ 6 months after a positive SARS-CoV-2 PCR test. Retrospective data including self-reported symptoms and time to symptom-free were collected during the survey before a site visit. In the survival analyses, being symptom-free served as the event and time to be symptom-free as the time variable. Data were visualized with Kaplan–Meier curves, differences were tested with log-rank tests. A stratified Cox proportional hazard model was used to estimate adjusted hazard ratios (aHRs) of predictors, with aHR 

Abstract Introduction COVID-19 induced cytokine storm is a well-documented phenomena that contributes significantly in the disease’s evolution and prognosis. Therefore, therapies such as therapeutic plasma exchange, constitute a mainstay of therapeutic management especially for critically-ill patients. Methods We conducted a monocentric retrospective cohort study in the Resuscitation Department of the Mohammed VI University Hospital of Oujda-Morocco, to evaluate the efficiency of therapeutic plasma exchange on critically-ill COVID-19 patients over a 6 months period. We divided our patients into two groups: patients who received TPE (Therapeutic Plasma Exchange) sessions (TPE group) and patients who only benefited from the standard protocol treatment (non TPE group). Results Our study included a total of 165 patients, 34.5% of which benefited from TPE sessions. We observed an improvement of oxygenation parameters (SpO2 and PaO2/FiO2 ratio) and a progressive respiratory weaning, as well as a significant decrease of biomarkers indicative of inflammation (lymphocyte count, CRP (C Reactive Protein), IL-6, Ferritin) and coagulopathy (d-dimers, fibrinogen) in the TPE group after 5 consecutive TPE sessions. In comparison with the non-TPE group, The TPE-group patients had a shorter ICU (Intensive Care Unit) length of stay, required less frequently mechanical ventilation, and we more likely to be extubated. Furthermore, the TPE group had a lower mortality rate. Discussion Multiple studies have reported the safety and efficiency of therapeutic plasma exchange in the COVID-19 induced cytokine storm. Given the urgent character of the pandemic at the time, each center followed its own protocol in implementing plasma exchange. Conclusion Similar to the results reported in the literature, our study reports positive results after using TPE specifically in terms of respiratory weaning and an improvement of the cytokine storm biomarkers, and more importantly a lower mortality rate. …

AbstractBackgroundHigh-risk patients, often immunocompromised and not responding to vaccine, continue to experience severe COVID-19 and death. Monoclonal antibodies (mAbs) were shown effective to prevent severe COVID-19 for these patients. Nevertheless, concerns about the emergence of resistance mutations were raised.MethodsWe conducted a multicentric prospective cohort study, including 264 patients with mild-to moderate COVID-19 at high risk for progression to severe COVID-19 and treated early with Casirivimab/Imdevimab, Sotrovimab or Tixagevimab/Cilgavimab. We sequenced the SARS-CoV-2 genome during follow-up and searched for emerging Spike mutations.ResultsImmunocompromised patients have a 6-fold increased risk of developing mutations, which are associated with a prolonged duration of viral clearance but no clinical worsening. Emerging P337S/R/L/H, E340D/K/A/Q/V/G and K356T/R substitutions in patients treated with Sotrovimab are associated with higher viral RNA loads for up to 14 days post-treatment initiation. Tixagevimab/Cilgavimab is associated with a 5-fold increased risk of developing mutations. R346K/I/T/S and K444R/N/M substitutions associated with Tixagevimab/Cilgavimab have been identified in multiple SARS-CoV-2 lineages, including BQ.1 and XBB.ConclusionsIn conclusion, the probability of emerging mutations arising in response to mAbs is significant, emphasizing the crucial need to investigate these mutations thoroughly and assess their impact on patients and the evolutionary trajectory of the SARS-CoV-2.

The remarkable efficacy of COVID-19 vaccines was observed in both large, randomized-controlled US clinical trials and real-world settings,[1, 2] where four vaccines were found to be safe and efficacious in preventing symptomatic COVID-19. Despite the high level of vaccine efficacy, antibody waning occurs such that a small percentage of fully vaccinated persons (i.e., received all recommended doses of an FDA-authorized COVID-19 vaccine) will develop symptomatic or asymptomatic infection with SARS-CoV-2,[3] which are often referred to as COVID-19 vaccine breakthrough infections (hereafter as “breakthrough infections”).

Respiratory viruses infect individuals via the nose, mouth and eyes, through contact with surfaces touched by the individual or via small and larger (i.e. droplet) aerosol particles.[1] Recommendations for the protection of the general public in most countries include social distancing, handwashing and face mask use but not eye protection. In the UK eye protection (including full face visors or goggles) is recommended in healthcare settings if blood or body fluid contamination to the eyes or face is anticipated or likely.

ObjectivesTo explore the prevalence and associated factors of COVID-19 anxiety in patients with late-life depression (LLD) during the adjustment of epidemic prevention policies in China. DesignCross-sectional study. SettingThe data analysed in this study were collected from seven regions in China between November 2022 and January 2023. ParticipantsA total of 1205 patients with LLD (aged 60–78 years) participated in the survey. They completed a social demographic assessment and the Chinese version of the five-point Coronavirus Anxiety Scale (CAS). Primary outcome measuresThe primary outcome was the anxiety level of the participants. Patients were categorised into two groups based on their anxiety levels, one with anxiety and one without, according to CAS scores. ResultsThe prevalence of COVID-19 anxiety in depressed older adults was 47.3%. Regression analysis revealed that the average COVID-19 anxiety score was significantly higher among females (AOR: 2.177, 95% CI 1.201 to 3.947), widowed individuals (AOR: 3.015, 95% CI 1.379 to 6.591), patients residing at a distance from healthcare facilities (AOR: 3.765, 95% CI 1.906 to 7.438), and those who frequently experienced worry (AOR: 1.984, 95% CI 1.111 to 3.543). Conversely, the anxiety score was significantly lower among divorced individuals (AOR: 0.491, 95% CI 0.245 to 0.988), those aged 70 years and above (AOR: 0.117, 95% CI 0.064 to 0.213), patients without difficulty obtaining medication (AOR: 0.027, 95% CI 0.007 to 0.097), those living with family members (AOR: 0.080, 95% CI 0.022 to 0.282) or in nursing homes compared with those living alone (AOR: 0.019, 95% CI 0.004 to 0.087). ConclusionWomen with LLD who are widowed, live far from healthcare facilities, and are prone to excessive worry are more likely to experience anxiety. It is advisable to implement appropriate preventive measures and provide psychosocial support programmes for this vulnerable group during the COVID-19 pandemic. …

Abstract Introduction Severe forms of COVID-19 are more common in patients with abnormal fat distribution, particularly high visceral adiposity. The patient’s muscle strength may be reduced during the acute phase of the infection. Electrical bioimpedance (BIA) is a non-invasive method for measuring body compartments and estimating visceral fat area (VFA) that can be used at the bedside. Objective To assess the association between several body composition parameters, primarily high adipose tissue and high VFA, in patients with and without a diagnosis of COVID-19 infection, and whether it worsened the severity parameters. Methods This retrospective cohort study was conducted in a private hospital in the city of São Paulo from March 2020 to August 2021. The demographic and clinical data was collected from medical reports. Body composition is assessed using the InBODY® model S10 bioelectrical impedance device and a Jamar® digital hydraulic manual dynamometer with a scale from 0 to 90 kg is used to measure handgrip strength (HGS). Results A total of 96 patients with a mean age of 69.1 years (SD 15) were divided into two groups of 48 individuals, with and without COVID-19 infection. Body mass index (odds ratio [OR]: 4.47, 95% confidence interval [CI]: 1.69, 11.83), fat mass (OR: 2.03, 95% CI: 0.48, 8.55), and VFA (OR: 1.08, 95% CI: 0.33, 3.53) were all higher in the infection group. When COVID-19 patients were evaluated, those with higher VFA had longer hospital stays (OR: 0.99, 95% CI: 0.97, 1.01) and used more vasoactive drugs (p = 0.043). Patients with COVID-19 with poor handgrip strength were 3.29 times more likely to require a prolonged intensive care unit (ICU) stay. Conclusion The study concluded that excess weight and body fat are significantly associated with COVID-19 involvement, but the severity is primarily related to a greater area of visceral fat. The use of bioimpedance for visceral fat measurement was effective, as it is a simple method performed in the hospital setting that does not require the use of radiation. …

Abstract Introduction Severe forms of COVID-19 are more common in patients with abnormal fat distribution, particularly high visceral adiposity. The patient’s muscle strength may be reduced during the acute phase of the infection. Electrical bioimpedance (BIA) is a non-invasive method for measuring body compartments and estimating visceral fat area (VFA) that can be used at the bedside. Objective To assess the association between several body composition parameters, primarily high adipose tissue and high VFA, in patients with and without a diagnosis of COVID-19 infection, and whether it worsened the severity parameters. Methods This retrospective cohort study was conducted in a private hospital in the city of São Paulo from March 2020 to August 2021. The demographic and clinical data was collected from medical reports. Body composition is assessed using the InBODY® model S10 bioelectrical impedance device and a Jamar® digital hydraulic manual dynamometer with a scale from 0 to 90 kg is used to measure handgrip strength (HGS). Results A total of 96 patients with a mean age of 69.1 years (SD 15) were divided into two groups of 48 individuals, with and without COVID-19 infection. Body mass index (odds ratio [OR]: 4.47, 95% confidence interval [CI]: 1.69, 11.83), fat mass (OR: 2.03, 95% CI: 0.48, 8.55), and VFA (OR: 1.08, 95% CI: 0.33, 3.53) were all higher in the infection group. When COVID-19 patients were evaluated, those with higher VFA had longer hospital stays (OR: 0.99, 95% CI: 0.97, 1.01) and used more vasoactive drugs (p = 0.043). Patients with COVID-19 with poor handgrip strength were 3.29 times more likely to require a prolonged intensive care unit (ICU) stay. Conclusion The study concluded that excess weight and body fat are significantly associated with COVID-19 involvement, but the severity is primarily related to a greater area of visceral fat. The use of bioimpedance for visceral fat measurement was effective, as it is a simple method performed in the hospital setting that does not require the use of radiation. …

Abstract Background The declaration of SARS-CoV-2 as a public health emergency of international concern in January 2020 prompted the need to strengthen infection prevention and control (IPC) capacities within health care facilities (HCF). IPC guidelines, with standard and transmission-based precautions to be put in place to prevent the spread of SARS-CoV-2 at these HCFs were developed. Based on these IPC guidelines, a rapid assessment scorecard tool, with 14 components, to enhance assessment and improvement of IPC measures at HCFs was developed. This study assessed the level of implementation of the IPC measures in HCFs across the African Region during the COVID-19 pandemic. Method An observational study was conducted from April 2020 to November 2022 in 17 countries in the African Region to monitor the progress made in implementing IPC standard and transmission-based precautions in primary-, secondary- and tertiary-level HCFs. A total of 5168 primary, secondary and tertiary HCFs were assessed. The HCFs were assessed and scored each component of the tool. Statistical analyses were done using R (version 4.2.0). Results A total of 11 564 assessments were conducted in 5153 HCFs, giving an average of 2.2 assessments per HCF. The baseline median score for the facility assessments was 60.2%. Tertiary HCFs and those dedicated to COVID-19 patients had the highest IPC scores. Tertiary-level HCFs had a median score of 70%, secondary-level HCFs 62.3% and primary-level HCFs 56.8%. HCFs dedicated to COVID-19 patients had the highest scores, with a median of 68.2%, followed by the mixed facilities that attended to both COVID-19 and non-COVID-19 patients, with 64.84%. On the components, there was a strong correlation between high IPC assessment scores and the presence of IPC focal points in HCFs, the availability of IPC guidelines in HCFs and HCFs that had all their health workers trained in basic IPC. Conclusion In conclusion, a functional IPC programme with a dedicated focal person is a prerequisite for implementing improved IPC measures at the HCF level. In the absence of an epidemic, the general IPC standards in HCFs are low, as evidenced by the low scores in the non-COVID-19 treatment centres. …

Abstract Background The declaration of SARS-CoV-2 as a public health emergency of international concern in January 2020 prompted the need to strengthen infection prevention and control (IPC) capacities within health care facilities (HCF). IPC guidelines, with standard and transmission-based precautions to be put in place to prevent the spread of SARS-CoV-2 at these HCFs were developed. Based on these IPC guidelines, a rapid assessment scorecard tool, with 14 components, to enhance assessment and improvement of IPC measures at HCFs was developed. This study assessed the level of implementation of the IPC measures in HCFs across the African Region during the COVID-19 pandemic. Method An observational study was conducted from April 2020 to November 2022 in 17 countries in the African Region to monitor the progress made in implementing IPC standard and transmission-based precautions in primary-, secondary- and tertiary-level HCFs. A total of 5168 primary, secondary and tertiary HCFs were assessed. The HCFs were assessed and scored each component of the tool. Statistical analyses were done using R (version 4.2.0). Results A total of 11 564 assessments were conducted in 5153 HCFs, giving an average of 2.2 assessments per HCF. The baseline median score for the facility assessments was 60.2%. Tertiary HCFs and those dedicated to COVID-19 patients had the highest IPC scores. Tertiary-level HCFs had a median score of 70%, secondary-level HCFs 62.3% and primary-level HCFs 56.8%. HCFs dedicated to COVID-19 patients had the highest scores, with a median of 68.2%, followed by the mixed facilities that attended to both COVID-19 and non-COVID-19 patients, with 64.84%. On the components, there was a strong correlation between high IPC assessment scores and the presence of IPC focal points in HCFs, the availability of IPC guidelines in HCFs and HCFs that had all their health workers trained in basic IPC. Conclusion In conclusion, a functional IPC programme with a dedicated focal person is a prerequisite for implementing improved IPC measures at the HCF level. In the absence of an epidemic, the general IPC standards in HCFs are low, as evidenced by the low scores in the non-COVID-19 treatment centres. …

Abstract Background A test-based strategy against coronavirus disease 2019 (COVID-19) is one of the measures to assess the need for isolation and prevention of infection. However, testing with high sensitivity methods, such as quantitative RT-PCR, leads to unnecessary isolation, whereas the lateral flow antigen test shows low sensitivity and false negative results. The purpose of this study was to evaluate the performance of the LumiraDx SARS-CoV-2 Ag test (Lumira Ag), a rapid microfluidic immunofluorescence method, in assessing infectivity. Methods This study was performed from March 2022 to July 2022. A pair of nasopharyngeal swab samples were obtained from each patient with mild COVID-19. One swab was used for Lumira Ag testing, and the other for quantitative RT-PCR testing and virus culture. Results A total of 84 patients were included in the study. Among them, PCR, Lumira Ag test, and virus culture indicated positivity for 82, 66, and 24 patients, respectively. When comparing the Lumira Ag test to virus culture, its sensitivity was 100.0% (24/24), specificity, 30.0% (18/60); positive predictive value, 36.3% (24/66); and negative predictive value (NPV), 100.0% (18/18). The positive sample for virus culture was observed until the ninth day from the onset of symptoms, while the Lumira Ag test was observed until day 11. Conclusions The Lumira Ag test showed high sensitivity and NPV (100% each) compared to virus culture. A test-based strategy using the Lumira Ag test can effectively exclude COVID-19 infectiousness. …

Abstract Background A test-based strategy against coronavirus disease 2019 (COVID-19) is one of the measures to assess the need for isolation and prevention of infection. However, testing with high sensitivity methods, such as quantitative RT-PCR, leads to unnecessary isolation, whereas the lateral flow antigen test shows low sensitivity and false negative results. The purpose of this study was to evaluate the performance of the LumiraDx SARS-CoV-2 Ag test (Lumira Ag), a rapid microfluidic immunofluorescence method, in assessing infectivity. Methods This study was performed from March 2022 to July 2022. A pair of nasopharyngeal swab samples were obtained from each patient with mild COVID-19. One swab was used for Lumira Ag testing, and the other for quantitative RT-PCR testing and virus culture. Results A total of 84 patients were included in the study. Among them, PCR, Lumira Ag test, and virus culture indicated positivity for 82, 66, and 24 patients, respectively. When comparing the Lumira Ag test to virus culture, its sensitivity was 100.0% (24/24), specificity, 30.0% (18/60); positive predictive value, 36.3% (24/66); and negative predictive value (NPV), 100.0% (18/18). The positive sample for virus culture was observed until the ninth day from the onset of symptoms, while the Lumira Ag test was observed until day 11. Conclusions The Lumira Ag test showed high sensitivity and NPV (100% each) compared to virus culture. A test-based strategy using the Lumira Ag test can effectively exclude COVID-19 infectiousness. …

ObjectivesThe inadequate provision of language interpretation for people with limited English proficiency (LEP) is a determinant of poor health, yet interpreters are underused. This research explores the experiences of National Health Service (NHS) staff providing primary care for people seeking asylum, housed in contingency accommodation during COVID-19. This group often have LEP and face multiple additional barriers to healthcare access. Language discrimination is used as a theoretical framework. The potential utility of this concept is explored as a way of understanding and addressing inequities in care. DesignQualitative research using semistructured interviews and inductive thematic analysis. SettingAn NHS primary care service for people seeking asylum based in contingency accommodation during COVID-19 housing superdiverse residents speaking a wide spectrum of languages. ParticipantsTen staff including doctors, nurses, mental health practitioners, healthcare assistants and students participated in semistructured online interviews. Some staff were redeployed to this work due to the pandemic. ResultsAll interviewees described patients’ LEP as significant. Inadequate provision of interpretation services impacted the staff’s ability to provide care and compromised patient safety. Discrimination, such as that based on migration status, was recognised and challenged by staff. However, inequity based on language was not articulated as discrimination. Instead, insufficient and substandard interpretation was accepted as the status quo and workarounds used, such as gesticulating or translation phone apps. The theoretical lens of language discrimination shows how this propagates existing social hierarchies and further disadvantages those with LEP. ConclusionsThis research provides empirical evidence of how the inadequate provision of interpreters forces the hand of healthcare staff to use shortcuts. Although this innovative ‘tinkering’ allows staff to get the job done, it risks normalising structural gaps in care provision for people with LEP. Policy-makers must rethink their approach to interpretation provision which prioritises costs over quality. We assert that the concept of language discrimination is a valuable framework for clinicians to better identify and articulate unfair treatment on the grounds of LEP. …

IntroductionPhysician burn-out was an issue before the pandemic. Medical personnel have faced several clinical and non-clinical challenges because of the novel coronavirus (SARS-CoV-2) pandemic, which predisposes them to burn-out. There is a paucity of studies that shed light on the level of burn-out and its association with work-related factors for Nigerian medical doctors. This study aims to examine the level of burn-out among Nigerian medical doctors during the COVID-19 pandemic and explore possible associations between burn-out and sociodemographic, work-related and COVID-19-related factors. MethodologyA cross-sectional study was conducted among 251 medical doctors in a tertiary hospital in Nigeria. A questionnaire was used to obtain sociodemographic history, work-associated factors, COVID-19-related parameters and burn-out history. Personal, work-related and patient-related burn-out were evaluated with the use of the Copenhagen Burnout Inventory. ResultsThe number of doctors enrolled in this study was 251 with a median age of 34; 51.4% were males. The percentage of doctors who had personal, work-related and patient-related burn-out were 62.2%, 52.2 % and 27.5%, respectively. The univariate analysis revealed a correlation between burn-out scores and cadre, age, sex, years of experience, marital status, weekly work hours and number of calls. After multiple regression, female gender (p=0.012), those with less than 6 years of work experience (p=0.004) and those working for at least 71 hours in a week (p=0.0001) remained correlated with higher burn-out scores. Additionally, physicians who had a person with COVID-19 in their immediate environment had an independent correlation with higher work-related burn-out scores (p=0.043). ConclusionThe prevalence of burn-out is high among Nigerian doctors and is linked to some sociodemographic, work-related and COVID-19-related factors. Due to the adverse effects of burn-out on physician well-being and patient care, strategies need to be put in place to identify and mitigate burn-out among Nigerian physicians. …

Abstract Cross-reactive cellular and humoral immunity can substantially contribute to antiviral defense against SARS-CoV-2 variants of concern (VOC). While the adult SARS-CoV-2 cellular and humoral immunity and its cross-recognition potential against VOC is broadly analyzed, similar data regarding the pediatric population are missing. In this study, we perform an analysis of the humoral and cellular SARS-CoV-2 response immune of 32 convalescent COVID-19 children (children), 27 convalescent vaccinated adults(C + V+) and 7 unvaccinated convalescent adults (C + V-). Similarly to adults, a significant reduction of cross-reactive neutralizing capacity against delta and omicron VOC was observed 6 months after SARS-CoV-2 infection. While SAR-CoV-2 neutralizing capacity was comparable among children and C + V- against all VOC, children demonstrated as expected an inferior humoral response when compared to C + V+. Nevertheless, children generated SARS-CoV-2 reactive T cells with broad cross-recognition potential. When compared to V + C+, children presented even comparable frequencies of WT-reactive CD4 + and CD8 + T cells with high avidity and functionality. Taking into consideration the limitations of study - unknown disease onset for 53% of the asymptomatic pediatric subjects, serological detection of SARS-CoV-2 infection-, our results suggest that following SARS-CoV-2 infection children generate a humoral SARS-CoV-2 response with neutralizing potential comparable to unvaccinated COVID-19 convalescent adults as well a sustained SARS-CoV-2 cellular response cross-reactive to VOC. …

Among patients with mild-to-moderate COVID-19, VV116 significantly reduced the time to sustained clinical symptom resolution compared with placebo, with no observed safety concerns.

by Nataliya Rybnikova, Dani Broitman, Murielle Mary-Krause, Maria Melchior, Yakov Ben-Haim Questionnaires are among the most basic and widespread tools to assess the mental health of a population in epidemiological and public health studies. Their most obvious advantage (firsthand self-report) is also the source of their main problems: the raw data requires interpretation, and are a snapshot of the specific sample’s status at a given time. Efforts to deal with both issues created a bi-dimensional space defined by two orthogonal axes, in which most of the quantitative mental health research can be located. Methods aimed to assure that mental health diagnoses are solidly grounded on existing raw data are part of the individual validity axis. Tools allowing the generalization of the results across the entire population compose the collective validity axis. This paper raises a different question. Since one goal of mental health assessments is to obtain results that can be generalized to some extent, an important question is how robust is a questionnaire result when applied to a different population or to the same population at a different time. In this case, there is deep uncertainty, without any a priori probabilistic information. The main claim of this paper is that this task requires the development of a new robustness to deep uncertainty axis, defining a three-dimensional research space. We demonstrate the analysis of deep uncertainty using the concept of robustness in info-gap decision theory. Based on data from questionnaires collected before and during the Covid-19 pandemic, we first locate a mental health assessment in the space defined by the individual validity axis and the collective validity axis. Then we develop a model of info-gap robustness to uncertainty in mental health assessment, showing how the robustness to deep uncertainty axis interacts with the other two axes, highlighting the contributions and the limitations of this approach. The ability to measure robustness to deep uncertainty in the mental health realm is important particularly in troubled and changing times. In this paper, we provide the basic methodological building blocks of the suggested approach using the outbreak of Covid-19 as a recent example.

by André Daher, Júlio Castro-Alves, Leandro Amparo, Natalia Pacheco de Moraes, Thaís Regina Araújo dos Santos, Karla Regina Gram dos Santos, Cristiane Siqueira do Valle, Maria Hermoso, Margareth Catoia Varela, Rodrigo Correa Oliveira Monitoring of clinical trials is critical to the protection of human subjects and the conduct of high-quality research. Even though the adoption of risk-based monitoring (RBM) has been suggested for many years, the RBM approach has been less widespread than expected. Centralized monitoring is one of the RMB pillars, together with remote-site monitoring visits, reduced Source Data Verification (SDV) and Source Document Reviews (SDR). The COVID-19 pandemic promoted disruptions in the conduction of clinical trials, as on-site monitoring visits were adjourned. In this context, the transition to RBM by all actors involved in clinical trials has been encouraged. In order to ensure the highest quality of data within a COVID-19 clinical trial, a centralized monitoring tool alongside Case Report Forms (CRFs) and synchronous automated routines were developed at the clinical research platform, Fiocruz, Brazilian Ministry of Health. This paper describes how these tools were developed, their features, advantages, and limitations. The software codes, and the CRFs are available at the Fiocruz Data Repository for Research—Arca Dados, reaffirming Fiocruz’s commitment to Open Science practices.

Abstract Purpose We aimed to assess symptoms in patients after SARS-CoV-2 infection and to identify factors predicting prolonged time to symptom-free. Methods COVIDOM/NAPKON-POP is a population-based prospective cohort of adults whose first on-site visits were scheduled ≥ 6 months after a positive SARS-CoV-2 PCR test. Retrospective data including self-reported symptoms and time to symptom-free were collected during the survey before a site visit. In the survival analyses, being symptom-free served as the event and time to be symptom-free as the time variable. Data were visualized with Kaplan–Meier curves, differences were tested with log-rank tests. A stratified Cox proportional hazard model was used to estimate adjusted hazard ratios (aHRs) of predictors, with aHR 

The aim of this study was to evaluate antibiotic prescribing of medium-to high-prescribing primary care physicians being followed up after completion of a Swiss national intervention trial of antibiotic prescription audit and feedback in the first SARS-CoV-2 pandemic year.

ObjectivesDetermine the prevaccination healthcare impact of COVID-19 in patients with systemic lupus erythematosus (SLE) in England. DesignRetrospective cohort study of adult patients with SLE from 1 May to 31 October 2020. SettingClinical Practice Research Datalink (CPRD) Aurum and Hospital Episode Statistics (HES) databases from general practitioners across England combining primary care and other health-related data. ParticipantsOverall, 6145 adults with confirmed SLE diagnosis ≥1 year prior to 1 May 2020 were included. Most patients were women (91.0%), white (67.1%), and diagnosed with SLE at age

Objectives‘Healthier Wealthier Families’ (HWF) seeks to reduce financial hardship in the early years by embedding a referral pathway between Australia’s universal child and family health (CFH) services and financial counselling. This pilot study investigated the feasibility and short-term impacts of HWF, adapted from a successful Scottish initiative. MethodsSetting: CFH services in five sites across two states, coinciding with the COVID-19 pandemic. Participants: Caregivers of children aged 0–5 years experiencing financial hardship (study-designed screen). Design: Mixed methods. With limited progress using a randomised trial (RCT) design in sites 1–3 (March 2020–November 2021), qualitative interviews with service providers identified implementation barriers including stigma, lack of knowledge of financial counselling, low financial literacy, research burden and pandemic disruption. This informed a simplified RCT protocol (site 4) and direct referral model (no randomisation, pre–post evaluation, site 5) (June 2021–May 2022). Intervention: financial counselling; comparator: usual care (sites 1–4). Feasibility measures: proportions of caregivers screened, enrolled, followed up and who accessed financial counselling. Impact measures: finances (quantitative) and other (qualitative) to 6 months post-enrolment. Results355/434 caregivers completed the screen (60%–100% across sites). In RCT sites (1–4), 79/365 (19%–41%) reported hardship but less than one-quarter enrolled. In site 5, n=66/69 (96%) caregivers reported hardship and 44/66 (67%) engaged with financial counselling; common issues were utility debts (73%), and obtaining entitlements (43%) or material aid/emergency relief (27%). Per family, financial counselling increased income from government entitlements by an average $A6504 annually plus $A784 from concessions, grants, brokerage and debt waivers. Caregivers described benefits (qualitative) including reduced stress, practical help, increased knowledge and empowerment. ConclusionsFinancial hardship screening via CFH was acceptable to caregivers, direct referral was feasible, but individual randomisation was infeasible. Larger-scale implementation will require careful, staged adaptations where CFH populations and the intervention are well matched and low burden evaluation. Trial registration numberACTRN12620000154909. …

by Laura Capitán-Moyano, Nerea Cañellas-Iniesta, María Arias-Fernández, Miquel Bennasar-Veny, Aina M. Yáñez, Enrique Castro-Sánchez Food insecurity in recent years has increased worldwide due to many planetary events such as the COVID-19 pandemic, geopolitical conflicts, the climate crisis, and globalization of markets. Adolescents are a particularly vulnerable group to food insecurity, as they enter adulthood with less parental supervision and greater personal autonomy, but less legislative or institutional protection. The experience of food insecurity in adolescents is influenced by several environmental factors at different levels (interpersonal, organizational, community, and societal), although they are not usually addressed in the design of interventions, prioritizing the individual behavioural factors. We present a scoping review protocol for assessing and identifying the environmental factors that could influence adolescents’ food insecurity. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) and the PRISMA guidelines for Scoping Reviews (PRISMA-ScR) to prepare the protocol. The search strategy will be performed in the following databases: Pubmed/Medline, EMBASE, Biblioteca Virtual de Salud, EBSCOHost, Scopus, Web of Science, and Cochrane Library Plus. The reference list of the included studies will also be hand-searched. Grey literature will be search through the electronic database Grey Literature Report, and local, provincial, national, and international organisations’ websites. Assessment of eligibility after screening of titles, abstract and full text, and the resolution of discrepancies will be performed by three independent reviewers. This scoping review will contribute to refine the “logic model of the problem” which constitutes the first step in the intervention mapping protocol. The “logic model of the problem” from the intervention mapping protocol will serve to classify and analyse the environmental factors. The findings from this review will be presented to relevant stakeholders that have a role in shaping the environmental factors.

by Peng Liu, Yanyan Zheng This paper conducts a systematic statistical analysis of the characteristics of the geographical empirical distributions for the numbers of both cumulative and daily confirmed COVID-19 cases and deaths at county, city, and state levels over a time span from January 2020 to June 2022. The mathematical heavy-tailed distributions can be used for fitting the empirical distributions observed in different temporal stages and geographical scales. The estimations of the shape parameter of the tail distributions using the Generalized Pareto Distribution also support the observations of the heavy-tailed distributions. According to the characteristics of the heavy-tailed distributions, the evolution course of the geographical empirical distributions can be divided into three distinct phases, namely the power-law phase, the lognormal phase I, and the lognormal phase II. These three phases could serve as an indicator of the severity degree of the COVID-19 pandemic within an area. The empirical results suggest important intrinsic dynamics of a human infectious virus spread in the human interconnected physical complex network. The findings extend previous empirical studies and could provide more strict constraints for current mathematical and physical modeling studies, such as the SIR model and its variants based on the theory of complex networks.

by Chiara Marraccini, Lucia Merolle, Davide Schiroli, Agnese Razzoli, Gaia Gavioli, Barbara Iotti, Roberto Baricchi, Marta Ottone, Pamela Mancuso, Paolo Giorgi Rossi To investigate the association between biochemical and blood parameters collected before the pandemic in a large cohort of Italian blood donors with the risk of infection and severe disease. We also focused on the differences between the pre- and post-Omicron spread in Italy (i.e., pre- and post-January 01, 2022) on the observed associations. We conducted an observational cohort study on 13750 blood donors was conducted using data archived up to 5 years before the pandemic. A t-test or chi-squared test was used to compare differences between groups. Hazard ratios with 95% confidence intervals for SARS-CoV-2 infection and severe disease were estimated using Cox proportional hazards models. Subgroup analyses stratified by sex, age and epidemic phase of first infection (pre- and post-Omicron spread) were examined. We confirmed a protective effect of groups B and O, while groups A and AB had a higher likelihood of infection and severe disease. However, these associations were only significant in the pre-Omicron period. We found an opposite behavior after Omicron spread, with the O phenotype having a higher probability of infection. When stratified by variant, A antigen appeared to protect against Omicron infection, whereas it was associated with an increased risk of infection by earlier variants. We were able to stratify for the SARS CoV-2 dominant variant, which revealed a causal association between blood group and probability of infection, as evidenced by the strong effect modification observed between the pre- and post-Omicron spread. The mechanism by which group A acts on the probability of infection should consider this strong effect modification.

by Kelsey McOwat, Snehal M. Pinto Pereira, Manjula D. Nugawela, Shamez N. Ladhani, Fiona Newlands, Terence Stephenson, Ruth Simmons, Malcolm G. Semple, Terry Segal, Marta Buszewicz, Isobel Heyman, Trudie Chalder, Tamsin Ford, Emma Dalrymple, Consortium , Roz Shafran Background During the COVID-19 pandemic children and young people (CYP) were socially restricted during a stage of life crucial to development, potentially putting an already vulnerable population at higher risk of loneliness, social isolation, and poorer wellbeing. The objectives of this study are to conduct an exploratory analysis into loneliness before and during the pandemic, and determine which self-reported factors are associated with loneliness. Methods and findings Participants from The Children with Long COVID (CLoCk) national study were invited to take part via an online survey, with a total of 31,017 participants taking part, 31,016 of which reported on their experience of loneliness. Participants retrospectively answered questions on demographics, lifestyle, physical health and mental health and loneliness before the pandemic and at the time of answering the survey. Before the pandemic 6.5% (2,006/31,016) of participants reported experiencing loneliness “Often/Always” and at the time of survey completion 17.4% (5,395/31,016) reported feeling lonelier. There was an association between meeting the research definition of long COVID and loneliness [3.49 OR, 95%CI 3.28–3.72]. CYP who reported feeling lonelier at the time of the survey than before the pandemic were assigned female at birth, older CYP, those from Black/African/Caribbean/Black British or other ethnicity groups, those that had 3–4 siblings and lived in more deprived areas. Conclusions We demonstrate associations between multiple factors and experiences of loneliness during the pandemic. There is a need for a multi-faceted integrated approach when developing interventions targeted at loneliness. It is important to follow up the CYP involved at regular intervals to investigate the progression of their experience of loneliness over time. …

A study linking viral infection with reduced levels of serotonin, a neurotransmitter involved in learning, memory, and mood, has proposed a new potential mechanism underlying post–COVID-19 condition. Also known as long COVID, the condition involves symptoms such as fatigue, memory loss, and cognitive impairment.

Although the US Strategic National Stockpile—a collection of medications, medical devices, and vaccines, among other tools—distributed supplies such as personal protective equipment within the first 3 months of 2020, its ability to respond effectively to the COVID-19 pandemic fell short due to internal and external factors, according to an audit conducted by the Department of Health and Human Services (HHS) Office of Inspector General. Due to these factors, “the Stockpile could not meet demand and was not equipped to handle the COVID-19 pandemic,” the investigators concluded.

Although the rates of medical abortions were similar before and after the start of the COVID-19 pandemic, the rate of procedural abortions fell by 31%, according to commercial insurance reimbursement data from about 17 500 abortions. The study was funded by the federal Health Resources and Services Administration.

ObjectiveThis study aimed at evaluating refractive changes in German school-aged children before and after the COVID-19 pandemic. DesignCross-sectional study. Setting414 eye care professional centres from Germany. ParticipantsRefractive data from 59 926 German children aged 6–15 years were examined over a 7-year period (2015–2021). Primary and secondary outcome measuresSpherical equivalent refraction was assessed as a function of year, age and gender. The refractive values concerning 2020 and 2021 were compared with those assigned to prior years (2015–2019). ResultsThe refractive data associated with 2020 and 2021 showed a myopic refractive shift of approximately –0.20D compared with the 2015–2019 range. The refractive change was statistically considerable in the 6 to 11-year range (p

by Syed Abdul Hamid, Md. Ragaul Azim, Md. Mahfujur Rahman, Md. Sirajul Islam Background The COVID-19 pandemic has highlighted the importance of a well-equipped and supported healthcare workforce, and Bangladesh still faces challenges in providing adequate and well-equipped healthcare services. Therefore, the study aims to assess the level of working conditions of the clinical health workers in Bangladesh and their relative importance in delivering quality healthcare services. Methods The study followed a cross-sectional study design and collected primary data adopting a quantitative method. A total of 319 clinical workforces from four districts and eight sub-districts were randomly selected using a multi-stage sampling technique. A 26-component questionnaire used to assess various components of working conditions. Descriptive statistics, and bivariate analysis were used to analyze the data. Results The study found that the working conditions of clinical health workers in primary and secondary healthcare facilities in Bangladesh were quite poor (3.40), with almost two-thirds of respondents showing negative views in 23 out of 26 indicators. The results also showed that working conditions were significantly (p ≤ 0.05) higher in primary compared to secondary level facilities. Moreover, men, younger workforce, and workforce with shorter length of service were more likely to report poor working conditions than their counterparts. Lastly, receiving monthly salary in due time was top-ranked (99.15) in terms of importance for delivering quality healthcare, followed by availability of medicines (98.04), and medical and surgical requisites (97.57), and adequate mentoring and support to perform duties (97.50). Conclusion The study highlights the poor working conditions of clinical health workers in public health facilities in Bangladesh. It recommends that policymakers should prioritize improving working conditions by addressing the factors that are crucial for delivering quality healthcare. Improving working conditions will have a positive impact on the retention and motivation of workers, which will ultimately lead to better health outcomes for the population. …

by Kathryn W. Hendrickson, Ramona O. Hopkins, Danielle L. Groat, Stephanie C. Stokes, Fiona M. Schroeder, Jorie M. Butler, Eliotte L. Hirshberg Introduction Severe acute respiratory syndrome coronavirus 2, (SARS-CoV-2,) caused an influx of patients with acute disease characterized by a variety of symptoms termed COVID-19 disease, with some patients going on to develop post-acute COVID-19 syndrome. Individual factors like sex or coping styles are associated with a person’s disease experience and quality of life. Individual differences in coping styles used to manage COVID-19 related stress correlate with physical and mental health outcomes. Our study sought to understand the relationship between COVID-19 symptoms, severity of acute disease, and coping profiles. Methods An online survey to assess symptoms, functional status, and recovery in a large group of patients was nationally distributed online. The survey asked about symptoms, course of illness, and included the Brief-COPE and the adapted Social Relationship Inventory. We used descriptive and cluster analyses to characterize patterns of survey responses. Results 976 patients were included in the analysis. The most common symptoms reported by the patients were fatigue (72%), cough (71%), body aches/joint pain (66%), headache (62%), and fever/chills (62%). 284 participants reported PACS. We described three different coping profiles: outward, inward, and dynamic copers. Discussion Fatigue, cough, and body aches/joint pains were the most frequently reported symptoms. PACS patients were sicker, more likely to have been hospitalized. Of the three coping profiles, outward copers were more likely to be admitted to the hospital and had the healthiest coping strategies. Dynamic copers activated several coping strategies both positive and negative; they were also younger and more likely to report PACS. Conclusion Cough, fatigue, and body aches/joint pain are common and most important to patients with acute COVID-19, while shortness of breath defined the experience for patients with PACS. Of the three coping profiles, dynamic copers were more likely to report PACS. Additional investigations into coping profiles in general, and the experience of COVID-19 and PACS is needed. …

by Mateus Silva Chang, Isamu Yamamoto This paper estimated the impact of intervention effects (state of emergency (SOE) or quasi-SOE requirements) and information effects (publicized increases in the number of coronavirus disease 2019 (COVID-19) deaths and fear of infection) on preventive behaviors and telecommuting during the COVID-19 pandemic using the Japan Household Panel Survey. Our results indicated that SOEs and quasi-SOEs had positive effects on the adoption of preventive behaviors among individuals, including handwashing, which indicates that an SOE has a direct effect and an indirect effect. Although SOEs in Japan were less enforceable and more lenient than those in other countries, they still had a certain effect on people’s adoption of preventive behaviors. However, the contribution of information effects was much larger than that of intervention effects, suggesting the importance of how and when information should be communicated to the public to prevent the spread of infection.

by Ineke Spruijt, Yalda Alam, Huong Nguyen, Bakyt Myrzaliev, Muratbek Ahmatov, Bethrand Odume, Lillian Mtei, Agnes Gebhard, Mustapha Gidado, Degu Jerene Background The measures undertaken to control COVID-19 have disrupted many platforms including tuberculosis (TB) healthcare services. Consequently, declines in TB notifications have been observed in various countries. We visualized changes over time in TB and SARS-CoV-2 infection notifications and reported on country-specific strategies to retain TB care and prevention services in Kyrgyzstan, Nigeria, Tanzania, and Vietnam. Methods We collected and visualized quarterly, retrospective, and country-specific data (Quarter (Q) 1 2018- Q1 2021) on SARS-CoV-2 infection and TB notifications. Additionally, we conducted a country-specific landscape assessment on COVID-19 measures, including lockdowns, operational level strategy of TB care and prevention services, and strategies employed to recover and retain those services. We used negative binomial regression models to assess the association between the installation of COVID-19 measures and changes in TB notifications. Results TB notifications declined in Kyrgyzstan and Vietnam, and (slightly) increased in Nigeria and Tanzania. The changes in TB notifications were associated with the installation of various COVID-19 prevention measures for Kyrgyzstan and Vietnam (declines) and Nigeria (increases). All countries reported reduced TB screening and testing activities. Countries reported the following strategies to retain TB prevention and care services: digital solutions for treatment adherence support, capacity building, and monitor & evaluation activities; adjustment in medication supply/delivery & quantity, including home delivery, pick up points, and month supply; integrated TB/COVID-19 screening & diagnostic platform; and the use of community health care workers. Conclusion Following the COVID-19 pandemic, we did not observe consistent changes in TB notifications across countries. However, all countries reported lower operating levels of TB prevention and care services. Digital health solutions, community-based interventions, and the integration of COVID-19 and TB testing services were employed to recover and retain those services. …