DYNAMICS OF THE CONTENT OF IMMUNOGLOBULIN G TO SEVERE ACUTE RESPIRATORY SYNDROME-2 IN CONVALESCENTS WHO HAVE HAD A NEW CORONAVIRUS INFECTION

The study investigated the dynamics of class G immunoglobulins to severe acute respiratory syndrome-2 coronavirus in the blood serum of convalescents who had a new coronavirus infection for 6 months after the polymerase chain reaction conversion. Among the most common symptoms, 30 (73.8%) convalescents had an increase in body temperature to 38°C, 32 (83.3%) had asthenia, 21 (59.5%) had cough, 29 (73.8%) had perversion or loss of sense of smell, pain, and throat discomfort. The duration of symptoms varied from 3–4 days to 3–4 weeks. Within a month after the end of the acute disease period, 8 (20%) patients had a decrease in working capacity, 13 (33%) had difficulty breathing, 9 (22%) had a cough, and 4 (10%) had pain and sore throat. During severe acute respiratory syndrome 2 infection, the virus activates the innate and adaptive immunity, resulting in the formation of specific class G immunoglobulins to the pathogens. After leveling the clinical manifestations, class G immunoglobulins were detected in the majority of convalescents (79%–90%) during the first 6 months, starting from day 14 from disease onset with a predominantly high (> 10 conl. units) positivity coefficient. Moreover, this pattern occurred in both men and women;however, in some studies, the levels of the positivity coefficient of class G immunoglobulins began to decrease by the fifth month of follow-up and sometimes at an earlier time (2 months). Perhaps, this is due to the different functional activities of the immune system of each convalescent, infecting dose of the pathogen, and peculiarities of its interaction with the macroorganism and its immune system. Nevertheless, the class G immunoglobulins identified in the study do not yet indicate the probability of reinfection of convalescents with the same pathogen. The protective titer of antibodies has yet to be investigated further. The article can be used under the CC BY-NC-ND 4.0 license © Authors, 2022.

INVESTIGATION OF THE ANTIBIOTIC RESISTANCE PROFILE OF KLEBSIELLA PNEUMONIAE ISOLATES ISOLATED FROM DIFFERENT CLINICAL SPECIMENS: ONE-YEAR DATA DURING THE COVID-19 PANDEMIC PROCESS.

Objective: In recent years, the rapid spread of resistance caused by the production of extended-spectrum beta-lactamase (ESBL) among bacteria has increased the importance of K. pneumoniae bacteria. Regular monitoring of antibiotic resistance rates of bacteria is very important for the treatment of infections and new treatment methods that can be developed. In the study, it was aimed to determine the antibiotic resistance profiles and ESBL positivity rates of K. pneumoniae isolated from patients who applied to Biruni University Hospital between March 2020 and March 2021, covering the COVID-19 Pandemic. Material(s) and Method(s): In the study, antibiogram test results and ESBL presences of K. pneumoniae bacteria isolated from samples sent from different outpatient clinics and services were evaluated retrospectively. GraphPad InStat V. 3.05 was used for statistical analysis. Result and Discussion: In the study, 423 K. pneumoniae bacteria were isolated from different clinical samples. Of the isolates, 161 (38%) were obtained from the endotracheal aspirate (ETA) sample, and 349 (82.5%) were obtained from the intensive care clinic. In addition, 358 (84.63%) of the isolates were ESBL positive and 65 (15.36%) ESBL negative. It was observed that the majority of the isolates obtained were resistant to ampicillin, and almost all of the ESBL positive isolates were resistant to ceftazidime. Both the studies and the results of the study show that the number of K. pneumoniae strains showing multiple antibiotic resistance has increased over time and this increase continues exponentially.Copyright © 2023 University of Ankara. All rights reserved.

COVID-19 pandemic in the Belgian cystic fibrosis patients compared with the international cystic fibrosis patients and the general Belgian population

Objectives The study compared the impact of the COVID pandemic on the Belgian people with Cystic Fibrosis (pwCF) with the international pwCF and the general Belgian population. Methods pwCF followed in a Belgian CF center were eligible. Their demographic and clinical outcome data was compared with the international pwCF (Carr et al, JCF 2022) and with the general Belgian population (epistat.sciensano.be/covid). CF registry annual data collections for 2020 and 2021 included if a test was performed for SARS-CoV-2 (by any specific method), and the respective result. Details on COVID symptoms and treatment were collected separately in a form from Global CF. Results Among the 1392 pwCF seen in 2020 and/or 2021, over half of the pwCF were tested for SARS CoV-2 (51% in 2020, 59% in 2021), similar for pwCF with or without a transplant (57% vs 54%). With similar positivity rate with or without transplant (13%), 179 pwCF had a positive result either in 2020 (50) or 2021 (141). This positivity rate was higher than in the general Belgian population (8.6%). Compared to the international pwCF, Belgian pwCF presented with more risk factors (transplant, age). Details and outcome are showed in tables below. Conclusion Belgian pwCF infected by SARS-CoV-2 tended to be less hospitalized but have more deaths than the international pwCF, in line with a higher transplant rate. While pwCF were on average younger, hospitalization was more frequent than for the general Belgian population, but death only if transplanted. [Formula presented]Copyright © 2023 European Cystic Fibrosis Society

Epidemiological and Demographic Profile of COVID-19 Suspects in a Tertiary Care Hospital at Jaipur, Rajasthan

Background: The coronavirus disease (COVID-19) was a pandemic which spread to various countries and originated in Wuhan, China. For appropriate response, planning, and allocation of resources demographic data play an important role in understanding the impact of COVID-19 across the country. Aim(s): To estimate epidemiological and demographic parameters like age, sex, area, sample type etc. of samples reported in COVID-19 diagnostic laboratory of RUHS College of Medical Sciences, Jaipur, Rajasthan. Material(s) and Method(s): The study was conducted retrospectively in a tertiary care hospital at Jaipur. Data like age, gender, urban or rural, IPD/ICU or OPD etc. were collected between January 1, 2021 to June 30, 2021. The collected data were expressed in number, counts and percentage. The data of six months were analysed using Microsoft Excel. Result(s): From January to June 2021, April and May 2021 showed highest positivity 13084 (27.42%) and 10968 (23.06%) respectively. February 2021 and June 2021 showed least positivity 156 (2.39%) and 163 (0.8%) respectively. Total COVID-19 positive cases during 6 months were 25134 and deaths were 357 with highest deaths were during May 2021 (n=270). Males (64.28% to 72.20%) were affected most. In April and May 2021 positivity in urban area was 6053 (46.26%) and 5712 (52.07%) respectively, while in rural area 7031 (53.74%) and 5256 (47.93%) respectively. The positivity in OPD patient during April and May was 93.58% (12245) and 95.26 % (10449) respectively. Nineteen to forty years was most affected age group. Conclusion(s): During second wave both urban and rural population was affected. Males and working age group were affected more. Among COVID-19 suspects' positivity rate was low in IPD patients as compared to OPD patients. Critical factors for an effective public health response are surveillance and contact tracing.Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.

COVID-19 positive cases among asymptomatic individuals during the second wave in Ndola, Zambia.

Background: Coronavirus disease 2019 (COVID-19) is a worldwide public health concern for healthcare workers. About 80% of cases appear to be asymptomatic, and about 3% may experience hospitalisation and later die. Less than 20% of studies have looked at the positivity rate of asymptomatic individuals. Objective: This study investigated the COVID-19 positivity rates among asymptomatic individuals during the second COVID-19 wave at one of Zambia's largest testing centre. Methods: This was a retrospective cross-sectional study conducted on routine surveillance and laboratory data at the Tropical Diseases Research Centre COVID-19 laboratory in Ndola, Zambia, from 01 December 2020 to 31 March 2021. The study population was made up of persons that had tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection as a requirement for travel. Microsoft Excel was used to come up with an epidemiological curve of daily COVID-19 positive cases; proportions for gender were described using frequencies and percentages. Results: A total of 11 144 asymptomatic individuals tested for SARS-CoV-2 were sampled for the study and 1781 (16.0%) returned positive results. The median age among those tested was 36 years (interquartile range: 29-46). Testing for COVID-19 peaked in the month of January 2021 (37.4%) and declined in March 2021 (21.0%). The epidemiological curve showed a combination of continuous and propagated point-source transmission. Conclusion: The positivity rate of 16.0% among asymptomatic individuals was high and could imply continued community transmission, especially during January 2021 and February 2021. We recommend heightened testing for SARS-CoV-2 among asymptomatic individuals. What this study adds: This study adds critical knowledge to the transmission of COVID-19 among asymptomatic travellers who are usually a key population in driving community infection. This knowledge is critical in instituting evidence-based interventions in the screening and management of travellers, and its control.

Art-of-Living Intervention Imparted Through a Blended Learning Approach to Nurture Positivity Among Pakistan's University Students During COVID-19: A Growth Curve Analysis.

Art-of-living allows individuals to live a contemplative, mindful, and active life to attain well-being. This study demonstrates the development and implementation of an art-of-living training intervention to nurture positivity among Pakistan's university students during COVID-19. To ensure the efficacy of teaching and learning during the second wave of the pandemic, the intervention was imparted through a blended learning approach comprising two modes: (1) online learning and (2) offline personal and collaborative learning. This approach was based on the emotionalized learning experiences (ELE) format to make learning more engaging, permanent, and gratifying. The study comprised 243 students randomly assigned to an experimental group (n = 122) and a wait-list control group (n = 121). Growth curve analysis indicated that positivity together with the components of art-of-living-self-efficacy, savoring, social contacts, physical care, and meaning-and overall art-of-living increased at a greater rate in the experimental group than in the control group from pretest to posttest and from posttest to follow-up measurement. The analysis provided an all-encompassing view of how positivity developed in the two groups over time. There were significant variations in participants' initial status (intercepts) and growth trajectories (slopes). The influence of participants' initial positivity scores suggested that students with high initial positivity scores had a slower increase in linear growth, whereas those with low initial positivity scores had a faster increase in linear growth over time. The success of the intervention may be attributed to the dimensions of ELE-embodied in the two modes-and fidelity to intervention for effectively implementing the blended learning approach. Supplementary Information: The online version contains supplementary material available at 10.1007/s10902-023-00664-0.

Estimating SARS-CoV-2 seroprevalence

Governments and public health authorities use seroprevalence studies to guide responses to the COVID-19 pandemic. Seroprevalence surveys estimate the proportion of individuals who have detectable SARS-CoV-2 antibodies. However, serologic assays are prone to misclassification error, and non-probability sampling may induce selection bias. In this paper, non-parametric and parametric seroprevalence estimators are considered that address both challenges by leveraging validation data and assuming equal probabilities of sample inclusion within covariate-defined strata. Both estimators are shown to be consistent and asymptotically normal, and consistent variance estimators are derived. Simulation studies are presented comparing the estimators over a range of scenarios. The methods are used to estimate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroprevalence in New York City, Belgium, and North Carolina.

Covid-19 in Lebanon: Update, Challenges and Lessons Learned

Intro: The COVID-19 pandemic remains a public health problem threatening national and global health security. Early during the pandemic, countries and governments including Lebanon declared states of emergency and imposed strict public health measures including national lockdowns and nonpharmaceutical interventions (NPIs) to reduce the spread of the virus. Lebanon has been struggling with plethora of challenges at the social, economic, financial, political and healthcare levels before the start of the pandemic in the country in February 2020. Method(s): The aim of this study is to advance the evolution of the COVID-19 epidemiology in Lebanon pre- and post-vaccination as well as the gaps and challenges affecting recovery and response. We will present the evolution of total number of cases, PCR positivity rates, case-fatality rates an hospitalizations. Finding(s): We present the evolution of the clinical and melocular epidemiology of COVID-19 in Lebanon, national response prior and following the introduction of COVID-19 vaccines and the impact of the latter on the course of the pandemic in Lebanon, national challenges and successes as well as the need to reimagine a national health strategy. The COVID-19 pandemic revealed the vulnerability, gaps and needs of the Lebanese health infrastructure including epidemiologic surveillance, genomic surveillance, integrated and concerted data sharing, diagnostic capacity, community mobilization and risk communication. Conclusion(s): The COVID-19 pandemic has been an eye opener about the need to invest in systemic and equal improvement in national health strategies. This is key to prevent future pandemics and to protect global health security. National and international coordinated strategies for emergency preparedness, response and recovery are critically needed in order to support the continuous monitoring of potential threats. The national commitment to these important inherent components of a rapid response requires investment in human and technical expertise to reduce inequality in access to information and care.Copyright © 2023

Development and Evaluation of a Textanalytics Algorithm for Automated Application of the Bsr Covid-19 Shielding Criteria in Rheumatology Patients

Background/Aims In April 2020 the British Society for Rheumatology (BSR) issued a risk stratification guide to identify patients at the highest risk of COVID-19 requiring shielding. This guidance was based on patients' age, comorbidities, and immunosuppressive therapies - including biologics that are not captured in primary care records. This meant rheumatologists needed to manually review outpatient letters to score patients' risk. The process required considerable clinician time, with shielding decisions not always transparently communicated. Our aim was to develop an automated shielding algorithm by text-mining outpatient letter diagnoses and medications, reducing the need for future manual review. Methods Rheumatology outpatient letters from Salford Royal Hospital, a large UK tertiary hospital, were retrieved between 2013-2020. The two most recent letters for each patient were extracted, created before 01.04.2020 when BSR guidance was published. Free-text diagnoses were processed using Intelligent Medical Objects software1 (Concept Tagger), which utilised interface terminology for each condition mapped to a SNOMED-CT code. We developed the Medication Concept Recognition tool (MedCore Named Entity Recognition) to retrieve medications type, dose, duration and status (active/past) at the time of the letter. The medication status was established based on the heading where they appeared (e.g. past medications, current medications), but incorporated additional information such as medication stop dates. The age, diagnosis and medication variables were then combined to output the BSR shielding score. The algorithm's performance was calculated using clinical review as the gold standard. Results To allow for the comparison with manual decisions, we focused on all 895 patients who were reviewed clinically. 64 patients (7.1%) had not consented for their data to be used for research as part of the national opt-out scheme. After removing duplicates, 803 patients were used to run the algorithm. 11,558 free-text diagnoses were extracted and mapped to SNOMED CT, with 15,003 free-text medications (that included past, present and any planned treatment). The automated shielding algorithm demonstrated a sensitivity of 80.3% (95% CI: 74.7, 85.2%) and specificity of 92.2% (95% CI: 89.7, 94.2%). Positive likelihood ratio was 10.3 (95% CI: 7.7, 13.7), negative likelihood ratio was 0.21 (95% CI: 0.16, 0.28), F1 score was 0.81. False positive rate was 7.9%, whilst false negative rate was 19.7%. Further evaluation of false positives/negatives revealed clinician interpretation of BSR guidance and misclassification of medications status were important contributing factors. Conclusion An automated algorithm for risk stratification has several advantages including reducing clinician time for manual review to allow more time for direct care, improving efficiency and transparently communicating decisions based on individual risk. With further development, it has the potential to be adapted for future public health initiatives that requires prompt automated review of hospital outpatient letters.

Cooperate with community health centers to eliminate HCV in low prevalence region of South China

Background: Shenzhen, a city of immigrants in South China, has a low HCV incidence rate of 19.47 per 100,000. To eliminate HCV in this low prevalence region, it may be efficiency to collaborate with the communities to screen HCV in high risk population. There are 849 Community Health Centers up to now in Shenzhen. The study aimed to evaluate the model of HCV elimination in high-risk population with Community Health Centers. Method(s): The Shenzhen Medical Association assigned hepatologists to educate Primary Care Physicians (PCPs) of 13 Community Health Centers in Bao'an District from 2021.6-2022.6. The PCPs need to take HCV knowledge tests before and after the training. Only when all the questions are answered correctly can the test be passed. Then they recommend the high risk population, e.g., PWID, pricking wound, iatrogenic exposure, to do the HCV antibody test and transfer the patients with HCV-Ab (+) to the hepatologist of Shenzhen Bao'an People's Hospital. Result(s): 151 PCPs participated in HCV knowledge education, the pass rate improved from 15.2% to 53.8% after the training. The high risk population screening number in Community Health Centers improved from 192 (a year before) to 300, even affected by the lockdown of COVID-19. The HCV antibody positive rate in high risk population is 4% (12/300), higher than the hospital population (0.8%, Shenzhen Bao'an People's Hospital), the blood donor (0.3%, Shenzhen Blood Center). The HCV-Ab positive patients in communities transferred to Shenzhen Bao'an People's Hospital, where the rate of DAA treatment is improved from 36.6% (a year before) to 64.1%. Conclusion(s): It is an efficient way to achieve HCV elimination earlier to screening in high risk population through PCPs in low prevalence region. Expanding this model to other Community Health Centers in Shenzhen may accelerate HCV elimination. (Figure Presented).

Status quo and influencing factors of post-traumatic stress disorder among front-line anti-epidemic medical staff

[Background] Front-line medical staff are an important group in fighting against Coronavirus Disease 2019 (COVID-19), and their mental health should not be ignored. [Objective] This study investigates the current situation and influencing factors of post-traumatic stress disorder (PTSD) among front-line anti-epidemic medical staff during COVID-19 epidemic. [Methods] Medical staff who had participated in fighting against the COVID-19 epidemic wereselected from three grade III Class A hospitals and four grade II Class A hospitals in a city of Hubei Province by convenient sampling method in May 2020. The survey was conducted online using the Post-traumatic Stress Checklist-Civilian Version (PCL-C) as the main survey tool to investigate current situation and characteristics of PTSD among these participants. A total of 1120 questionnaires were collected, of which 1071 were valid, and the effective rate was 95.6%. [Results] Of the 1071 participants, the average age was (32.59+/-5.21) years;the ratio of male to female was 1: 5.02;the ratio of doctor to nurse was 1:5.8;nearly 70% participants came from grade III Class A hospitals;married participants accounted for 75.4%;most of them held a bachelor degree or above (86.5%);members of the Communist Party of China (CPC) accounted for 22.9%;50.9% had junior titles;the working years were mainly 5-10 years (42.8%);more than 80.0% participants volunteered to join the front-line fight;95.1% participants received family support;43.0% participated in rescue missions;78.1% participants fought the epidemic in their own hospitals;more than 60% participants considered the workload was greater than before;34.4% participants fought in the front-line for 2-4 weeks, and 23.5% participants did for more than 6 weeks. There were 111 cases of positive PTSD syndromes (PCL-C total score >=38) with an overall positive rate of 10.4%, and the scores of reexperience [1.40 (1.00, 1.80)] and hypervigilance [1.40 (1.00, 2.00)] were higher than the score of avoidance [1.14 (1.00, 2.57)]. The results of univariate analysis revealed that PTSD occurred differently among participants grouped by age, political affiliation, working years, anti-epidemic activities location, accumulated working hours in fighting against COVID-19, having child parenting duty, voluntariness, family support, whether family members participated in front-line activities, and rescue mission assignment (P<0.05). The results of logistic regression analysis showed that the incidence rates of reporting PTSD syndromes in medical personnel aged 31-40 years (OR=0.346, 95%CI: 0.164-0.730) and aged 41 years and above (OR=0.513, 95%CI: 0.319-0.823) were lower than that in those aged 20-30 years;the incidence rates of reporting PTSD syndromes in medical staff who were CPC members (OR=0.499, 95%CI: 0.274-0.909), volunteered to participate (OR=0.584, 95%CI: 0.360-0.945), and received family support (OR=0.453, 95%CI: 0.222-0.921) were lower than those did not (P<0.05);the incidence rates of reporting PTSD syndromes among medical workers who had child parenting duty (OR=2.372, 95%CI: 1.392-4.042), whose family members participated in front-line activities (OR=1.709, 95%CI: 1.135-2.575), and who participated in rescue missions (OR=1.705, 95%CI: 1.133-2.565) were higher than those who did not (P<0.05). [Conclusion] The positive PTSD syndrome rate is 10.4% in the front-line anti-epidemic medical staff. Age, political affiliation, voluntariness, family support, having child parenting duty, with a family members participating in the fight, and rescue mission assignment are the influencing factors of PTSD.Copyright © 2021, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.

Safety Culture in Irish Community Pharmacies: a cross-sectional study using the Community Pharmacy Survey on Patient Safety Culture

Introduction: Safety culture is the product of individual and group values, attitudes, perceptions, competencies, and patterns of behaviour that determine the commitment to, and the style and proficiency of, an organisation's health and safety management.(1) Community pharmacists play a vital role in ensuring optimum medication safety however the study of patient safety culture in this setting is less developed than in secondary care. Aim(s): The study aim was to measure patient safety culture in Irish community pharmacies using the validated Community Pharmacy Survey on Patient Safety Culture (PSOPSC).(2) Methods: The survey consisted of 39 questions based on a 5-point Likert scale, within 11 dimensions. Demographic questions were asked including the pharmacist's role within the pharmacy. A free-text box allowed respondents to give comments on the survey topic. The online questionnaire, hosted on Microsoft Forms, was emailed to all 3943 community pharmacists registered with the Pharmaceutical Society of Ireland in November 2021. A reminder email was sent 14 days later. Data were analysed in Microsoft Excel. Categorical data were presented as frequencies (%). The positive rate response (PRR) of each survey question and dimension was calculated.(2) The PRR is the mean percentage of positive Likert scale responses to each item and each dimension of the survey. A PRR >75% indicated a strong safety culture, while a PRR <50% indicated a dimension that may be improved upon. Free-text responses were explored by thematic analysis. Result(s): The survey was completed by 173 pharmacists, response rate 4.5%. Of these, 33 (19.1%) were superintendent pharmacist, 65 (37.6%) supervising pharmacist, 53 (30.6%) staff pharmacist and 22 (12.7%) locum pharmacist. The mean %PRR across the 11 survey dimensions was 72.3%. Individual statements with highest PRR were Our pharmacists tell patients important information about their new prescriptions (PRR=91.3%) and Staff are treated fairly when they make mistakes (PRR=87.3%). Individual statements with lowest PRR were Interruptions/distractions in this pharmacy (from phone calls, faxes, customers, etc.) make it difficult for staff to work accurately (PRR=6.4%) and We feel rushed when processing prescriptions (PRR=8.1%). The dimension of Organizational Learning-Continuous Improvement demonstrated the highest PRR (81.6%), followed by Response to Mistakes (PRR=81.2%). The dimension of Staffing, work pressure and pace demonstrated the lowest PRR (35.6%). Respondents rated overall patient safety in their pharmacy as excellent/very good/good (88.4%). Differences in perception of patient safety emerged between pharmacists with different levels of responsibility. Patient safety rating was described as fair/poor by 0.0% of superintendent pharmacists, 6.3% of supervising pharmacists, 17.0% of staff pharmacists and 31.8% of locum pharmacists. Fifty-one (29.0%) respondents provided free-text comments. Emergent themes were impact on safety culture of staffing issues;staff training;dispensary workload;and dispensary work pressures. Conclusion(s): The study was limited by low response rate. This may reflect its timing during the COVID-19 pandemic and pharmacists' prioritisation of clinical roles at that time. Respondents reported a broadly positive patient safety culture in the pharmacy in which they work. Differences in perception of safety culture were observed between those with differing levels of responsibility in community pharmacy practice.

INTEGRATION OF SARS-CoV-2 RAPID ANTIGEN TEST IN HEALTH SERVICES IN KENYA AND CAMEROON

Background: Early diagnosis of COVID-19 is key to prevent severe cases and poor outcomes in vulnerable populations, including pregnant women and people living with HIV or infected with tuberculosis (TB). The feasibility of integration of SARS-CoV-2 antigen rapid diagnostic testing (Ag-RDT) into maternal neonatal, and child Health (MNCH);HIV;and TB clinics is unknown. Method(s): We analyzed data from a SARS-CoV-2 screen and test program implemented in 50 health facilities (25 in Kenya and 25 in Cameroon), integrating SARS-CoV-2 Ag-RDT in MNCH, HIV, and TB clinics between May and October 2022. Clients aged two and older attending MNCH, HIV, and TB clinics were offered SARS-CoV-2 screening, and those eligible were tested using SARS-CoV-2 Ag-RDT. Routine SARS-CoV-2 program data were captured through dedicated paper forms in Cameroon or an electronic medical record (EMR) interface in Kenya and transferred to a database for analysis. We estimated the proportion of clients screened and tested and the SARS-CoV-2 positivity rates. Result(s): Overall, 527,184 attendee visits were reported in Cameroon (282,404) and Kenya (244,780), with screening for COVID-19 symptoms and exposure performed in 256,033 (48.5%) with substantive variations between countries (62.6% in Cameroon and 32.4% in Kenya). Among the 256,033 screened, 19,058 (7.4%) were eligible for testing (9.0% in Cameroon and 3.9% in Kenya), of whom 12,925 (67.8%) were tested for SARS-CoV-2 with substantial variation in testing rates between countries (61.9% in Cameroon and 97.9% in Kenya) and clinics (59.9% in MNCH, 68.7% in HIV, and 92.8% in TB clinics). A total of 390 (3.0%) positive tests were identified (329 (3.3%) in Cameroon and 61 (2.0%) in Kenya). The estimated case detection rate was 1.26 (95% CI=0.76-1.75) per 1,000 attendee visits in Cameroon and 0.49 (95% CI=0.12-0.86) per 1,000 attendee visits in Kenya. Country integration strategy, facility level, setting, and clinic were independently associated with screening (Table 1) and testing. Conclusion(s): Integration of SARS-CoV-2 Ag-RDT in HIV, TB, and MNCH clinics was feasible in both countries despite challenges with low screening rates in Kenya and low testing rates in Cameroon. Decentralization of SARS-CoV-2 testing at different facility clinics allowed detection of SARS-CoV-2 cases among vulnerable populations. Integration strategies should consider facility settings (rural compared to urban) and additional human resources in high volume facilities to improve screening and testing rates.

Effectiveness of two dose Covaxin, an Inactivated COVID-19 vaccine in protection against SARS-CoV-2 infection: Six-month prospective cohort study

Introduction: SARS-CoV-2 affected millions of lives globally and led to devastating impact on public health. India had also witnessed the dreadful effect of SARS-CoV-2 pandemic. Within a short span of time, various SARS-CoV-2 vaccines were developed using different platforms across the world. India has also developed one such indigenous whole-virion inactivated SARSCoV-2 vaccine named as BBV152 (Covaxin). The Covaxin has been found to be immunogenic and second most widely used vaccine in India. Recent studies have also shown significant increase in the humoral and neutralizing antibody response post the administration of booster dose against Omicron variant. Apparently, there is limited data on the long-term persistence of the immune response against the Covaxin in Indian context. Method(s): We evaluated an effectiveness of the Covaxin and comparing its specific immune responses in two categories through prospective cohorts recruited at the vaccination centre, Pune during June 2021 to March 2022. We defined the study population in two groups who were COVID-19 naive individuals (group-1) and COVID-19 recovered individuals (group-2) prior to the immunization with Covaxin. The two cohorts and the study participants were decided considering the baseline antibody titres against SARS-CoV-2, the COVID-19 positivity rate, sample power and loss to follow up. The study population was assessed during three follow-ups at second dose, one and six months post second dose to determine the immune response and effectiveness using S1-RBD IgG ELISA and neutralizing antibody response (NAbs) by plaque reduction neutralization test (PRNT). Result(s): We enrolled participants between age group of 18-80 year (median 32 years). In group-1 and group-2, we recruited 118 and 128 participants respectively. The cohort retention was found to be> 85%,>70% and>40% in 1st, 2nd and 3rd follow up respectively. Loss to the 3rd follow up was coincided with third wave with omicron variant. A rise in geometrical mean titre (GMT) of S1-RBD IgG were observed amongst the participants of both the groups at one-month post immunization (Group 1: S1-RBD: 154.4 to 446.3, Group 2 S1- RBD: 918 to 1127). However, the GMTs at six months post vaccination found to be slightly raised in Group 1 compared to one-month follow-up. Considering the hybrid immunity in group 2 participants, the GMTs of NAbs were higher than group 1 participants at each follow-up against B.1, Delta, Omicron BA.1 and BA.2. Both the groups had shown significant reduction in the levels of NAbs against Delta, Omicron BA.1 and BA.2 compared to B.1. The lowest GMTs of NAbs was observed against BA.1 variant. The IgG and NAbs persisted till six months in 90% participants in both categories except BA.1 variant. Breakthrough cases were reported at one-month (n = 1) and six-months (n = 2) post vaccination respectively from group 1. While reinfection cases (n = 3) were detected at six months post vaccination from group 2 due to Omicron BA.1 variant. Conclusion(s): A two-dose regimen of the Covaxin vaccine enhanced humoral immune response in adults with/without past COVID-19 infection and protected more than 90% adults against SARSCoV-2 infection. Additionally, IgG and NAb responses persisted for six months postvaccination.

Impact of Covid-19 among Small Scale Industry Fishermen - A Mixed Methods Study from Coastal Area of Karnataka

Background: The ongoing COVID-19 pandemic has grave implications worldwide. Workers in small scale industries like fisheries forms a vulnerable group without social security/recognised labour rights Objectives: To assess the physical, mental and socio- economic impact of COVID-19 among fishermen community from coastal area of Karnataka 2. To understand the challenges faced and coping mechanism adopted to mitigate the impact Methodology: This community based mixed methods study was conducted among 138 participants from a fishermen community in coastal Karnataka. Quantitative data included sociodemographics, COVID-19 diagnosis, treatment, related expenses and DASS -21 questionnaire. Qualitative data was collected through 3 Focus Group Discussions and 7 Key informant Interviews till data saturation. Result(s): A total of 138 participants (quantitative 107 and qualitative 31) were included. Majority of the participants were males (70.1%), belonged to age category of 46-60 years (37.4%), nuclear family (71%) and were from low socioeconomic status (79.4%). COVID-19 appropriate behaviour was found to be poor among participants with only 36% using masks, 24.3% washing hands and 10.3% maintaining social distancing. Among 107, 51 (47.7%) participants had probable COVID-19 symptoms. However only 7 (10.9%) had tested for COVID-19 with test positivity rate of 57.1%. Two participants were admitted in hospital with mean hospital stay of 7 days. According to DASS-21, 20.6%, 15.9% and 9.3% screened positive for depression, anxiety and stress respectively. Nealy 90% lost jobs and more than 75% reported to have financial difficulties. Major challenges included loss of livelihood, inaccessibility to health care, repayment of loans, stigma related to Covid-19 and meeting educational expenses of children with one drop out from college. Strategies to cope up with financial difficulty included borrowings, pawning and selling assets at individual level. Activities of local self-help groups in the community and grass root level marketing strategies were highly successful in mitigating the impact as a community. Conclusion(s): COVID-19 has affected fishermen community to a large extent. This understanding will enable to implement need-based intervention strategies and help in disaster preparedness among this population.

DISABILITY AND COVID-19 TESTING: A CROSS-SECTIONAL RADx-UP STUDY

Background: Nearly 26% of adults in the U.S. live with disability and are more likely to experience chronic health conditions, barriers to healthcare, and severe COVID-19 illness. Therefore, COVID-19 testing of adults living with disability is important to consider. The purpose of this study was to explore relationships between disability and COVID-19 testing, infection, and related challenges. Method(s): A Rapid Acceleration of Diagnostics-Underserved Population (RADx-UP) project in Miami, FL determined disability with a modified version of the Washington Group General Disability Measure. HIV serostatus and COVID-19 vaccination were confirmed with medical records. COVID-19 testing and infection history were self-reported. Statistical analyses included chi-squared tests and multiple binary logistic regression;variance inflation factors were calculated to ensure absence of collinearity. Result(s): A total of 1,689 RADx-UP participants with an average age of 55+/-12.3, 51% male, 49% Black non-Hispanic, 23% living with HIV (86% virally suppressed), and 76% received at least one dose of a COVID-19 vaccine. Nearly 40% were disabled, 37% reported employment disability, and 21% were functionally disabled (disability that interferes with performance of daily activities). Despite recruitment from the same sources, PLWH, compared to those without HIV, were more likely to be disabled (52% vs 36%;p< 0.0001), report employment disability (63% vs 30%;p< 0.0001), and report functional disability (29% vs 18%;p< 0.0001). Those with employment disability were less likely to have ever been tested for COVID-19 compared to those without (81% vs 85%;p=0.026). Employment disability was also associated with lower odds of having ever tested positive for COVID-19 after adjustment for demographics, health insurance, HIV, COVID-19 vaccination, smoking, and lung disease (aOR, 0.62;95% CI, 0.43-0.90;p=0.013). Disability was associated with greater odds of transportation challenges (aOR, 2.33;95% CI, 1.76-3.08;p< 0.0001), illicit drug use (aOR, 1.92;95% CI, 1.49-2.47;p< 0.0001), and smoking (aOR, 1.74;95% CI, 1.39-2.17;p< 0.0001). Compared to those without, those with transportation challenges (14% vs 40%;p< 0.0001) and illicit drug use (18% vs 30%;p=0.001) were more likely to postpone medical care. Conclusion(s): Lower COVID-19 testing rates may contribute to underestimated COVID-19 positivity rates in adults living with disability. Challenges with transportation and substance abuse contribute to less engagement in care.

Bacterial and viral upper and lower airways infection in people with cystic fibrosis in stable condition

Background: Bacterial and viral airway infections are adverse factors for prognosis in people with cystic fibrosis (CF). The role of viral infections is unclear. Proper microbiological follow-up is essential, and the correlation between upper (UAW) and lower airway (LAW) microbiology may be important for lung disease management. We aim to evaluate airway microbiology in patients in stable clinical condition. Method(s): Between September 2021 and March 2022 in the Florence CF center, 144 nasal lavage-throat swab paired samples were collected from 72 clinically stable people with CF not chronically colonized by Pseudomonas aeruginosa. The study enrolled 59 children (median age 9, range 2-16) and 13 adults (median age 28, range 18-59). LAW specimens (72)were sampled as throat swab and UAWspecimens (72)were randomly collected by nasal lavage with two methods-Mainz (44) or Ryno-set (28). We performed conventional microbiological analyses on all samples. To screen for respiratory viruses, multiplex polymerase chain reaction (BioFire FilmArray RP 2.1 Plus) was performed. Respiratory symptoms and forced expiratory volume in 1 second (FEV1) valueswere evaluated for all patients. Result(s): Twenty-one (29%) patients tested positive for at least one virus in UAW and LAW specimens. The most frequently identified viruses were human rhinovirus or enterovirus (22%) and respiratory syncytial virus (6%). Two (3%) patients tested positive for SARS-CoV-2. Concordance between sampling methods for viral detection in UAW and LAW specimens was observed in 59 paired samples (82%), including 40 patients with no viral infections and 19 virus positive for both samples. Discordance was described in 13 subjects;10 of 13 did not show viral infection in nasal lavage. Twenty-one percent of positive nasal lavage was performed using Ryno-set and 36% using the Mainz approach. The prevalent bacteriumwas Staphylococcu aureus in UAW (53%) and LAW (69%) cultures, followed by Enterobacteriaceae (UAW 8%, LAW 6%), methicillin-resistant S. aureus (UAW 7%, LAW 6%), P. aeruginosa (UAW 4%, LAW 6%), and other clinically relevant gram-negative bacteria such as Achromobacter xylosoxidans, Stenotrophomonas maltophilia, and Ochrobactrum anthropi (UAW 7%, LAW 13%). Nasal lavage performed with Ryno-set tested positive in 72% of patients, and 64% of Mainz lavage were positive. Mainz nasal lavage showed different S. aureus and P. aeruginosa isolations (48% and 5%, respectively) than the samples collected with Ryno-set technique (61% and 4%, respectively). Concordance between sampling methods for bacterial detection in UAW and LAW was the same with the two methods (53%). Bacterial and viral infections were found in UAWand LAWof stable people with CF, but no clinical correlation was observed. Conclusion(s): The two methods of UAW lavage had slight differences in performance. Virus infection appeared to be less prevalent than bacterial infection in UAWand LAW.We did not find correlations between presence of viruses and respiratory symptoms, but further investigation is needed for a better understanding of the clinical role of viral infection in people with CF.Copyright © 2022, European Cystic Fibrosis Society. All rights reserved

Changes in Diagnosis of Gestational Diabetes Mellitus during the Covid-19 Pandemic at a large Maternity Hospital in Southwest Ireland

Background Targeted screening for Gestational Diabetes Mellitus (GDM) occurs routinely at 24-28 weeks gestation using the oral glucose tolerance test (OGTT). During the COVID-19 pandemic, the Health Service Executive (HSE) and the Royal College of Obstetricians and Gynaecologists recommended discontinuing the OGTT to minimise hospital visits. Fasting plasma glucose (FPG), random plasma glucose (RPG), and glycated haemoglobin (HbA1c) were instead proposed for diagnosing GDM. This study retrospectively compared testing patterns and putative diagnostic rates for GDM in pregnancies using the HSE guidelines pre- and post-pandemic. Methods Pregnancies with complete gestation in the 18 months before (Group1) or 18 months after (Group2) adoption of revised HSE guidance at CUMH (01/05/2020) were included. Women with pre-existing diabetes mellitus were excluded. Results were extracted from databases at the Departments of Clinical Biochemistry and Haematology at CUH. Diagnostic cut-offs for GDM were: OGTT (FPG >=5.1 mmol/L or 2-h plasma glucose >=8.5 mmol/L), FPG (>=5.1 mmol/L), RPG (>=9 mmol/L), and HbA1c (>=39 mmol/mol). Diagnostic rates were compared using Chi-square analysis. The study was approved by the Cork Teaching Hospitals Clinical Research Ethics Committee. Results In Group1, 43.8% of 6,737 pregnancies had an OGTT, compared with 20.5% of 6,743 pregnancies in Group2. After implementing the revised guidelines, OGTT requests were 34.5% and 79.7% lower for primary and secondary care, respectively. Comparing Group1 with Group2, FPG was measured in 46.9 vs 49.8%, RPG in 13.3 vs 11.8%, and HbA1c in 23.7 vs 51.9%. The positive rate for GDM testing was 15.9% in Group1 and 22.0% in Group2 (p<0.00001). Conclusions OGTT use fell significantly with revised HSE guidelines, although only a modest reduction was observed in primary care. HbA1c use in pregnancy doubled during the pandemic. The proportion of pregnancies with biomarkers positive for GDM showed a small but significant increase upon adopting the new diagnostic guidelines.

CLUSTER-RANDOMIZED TRIAL COMPARING TWO SARS-CoV-2 TESTING MODELS IN AFRICA

Background: Most programs use a screen and test strategy to identify SARS-CoV-2 infection, but this strategy does not identify individuals with asymptomatic infection. We determined the SARS-CoV-2 case detection rates in a test-all model compared to the standard screen-and-test model in Kenya and Cameroon. Method(s): A cluster-randomized trial was conducted in 20 health facilities between May-October 2022. In each country, 5 facilities were randomized to test all (testing offered regardless of screening outcome) or screen and test (testing offered if screened positive) arms. Additional staff were hired to support implementation of the two models in Kenya (K) and the test all model in Cameroon (C). Clients age>2 years attending HIV, TB and MNCH clinics were tested using SARS-CoV-2 rapid antigen tests. We estimated case detection rates (CDR) with facility level weighted averages and used a weighted t-test with robust standard errors for between arm comparison. Result(s): Overall, 80,828 attendee visits were reported in the test-all arm (63,492 C and 17,336 K) and 71,254 attendee visits were reported in the screenand- test arm (56,589 C and 14,665 K). In the test-all arm, 42,325 (52.4%) were screened for COVID-19 symptoms (46.7% C and 73.2% K) and 21,536 (26.6%) were tested (29.2% C and 17.4% in Kenya) with a positivity rate of 1.4% (2.0% C and 1.1% K). In the screen-and-test arm, 48,314 (67.8%) were screened (72.8% C and 48.6% K), and 3,629 (7.5%) were eligible for testing (8.2% C and 3.7% K) - of those, 2,139 (58.9%) were tested (57.1% C and 82.4% K) with a positivity rate of 4.1% (3.4% C and 10% K). The estimated CDR was 3.59 (95% CI:1.55-5.64) per 1,000 attendee visits in the test-all arm and 1.46 (95% CI:0.60-2.32) per 1,000 attendee visits in the screen-and-test arm. Compared to the screen-and-test arm, the test-all arm had significantly higher COVID-19 CDR in MNCH clinics (3.57 vs.1.29, p=0.034). There were no significant differences in COVID-19 CDR between the two arms in HIV (4.20 vs.1.98, p=0.174) and TB (10.33 vs. 5.03, p=0.283) clinics, though the number of SARS-CoV-2 infections was small. Conclusion(s): The test-all arm identified more SARS-CoV-2 cases than the routine screen-and-test model, despite overall low testing coverage. The test-all model should be considered in future epidemics to improve early detection of SARS-CoV-2 infection among vulnerable populations, but effective implementation requires additional human resources to manage the clinic volumes. COVID-19 Case Detection Rates Per 1,000 Attendees: Comparison of Screen-and- Test and Test-All Arms.

Technological Interface for Effective OH Services during Pandemic and RTO

Introduction: Covid pandemic and post pandemic era has brought in many challenges. Employees and family members across locations were at risk. Monitoring the public health parameters, comparing the trend, analysing the reports to provide insights to leadership team was enormous job with challenge of manual tracking & reconciliation of data from often inconsistent dataset from the respective government maintained and approved websites. Objective(s): To develop and use one active, dynamic dashboard with public health parameters and trend analysis. This should facilitate business leaders, global health team and key stakeholders on decision making process. Other objective is to reduce manual efforts of OHP. Intervention(s): Innovation & Engineering team was involved. Options considered were Power BI, Tableau, Spotfire etc. MS Office Power BI was chosen. Introducing digital transformation in the process to automate the data extraction on one hand through API feed at predefined frequencies and subsequently a reconciliation dashboard ensured live data feed for each specific location of interest. Few important parameters (reopening triggers and risk-mitigationmeasures) monitored include trends at various locations, vaccine status, 14 days trajectory of covid situation, positivity rate, R factor, fatality rate, number of beds available etc. Result(s): Situation monitoring with summary of input- insights on one dashboard was highly impactful and useful to take decisions for Leadership team. Conclusion(s): Digital Visualization product is used to connect to all the necessary websites (India/State specific as well as WHO and others) and pull in live relevant data for a simple summary dashboard which was used extensively by the leadership team to keep track of evolving situations and making decisions as appropriate. Utilization of technology makes life easier by saving time, efforts, brought down the data gathering and reconciliation effort to zero. Health manager could focus on.