ABSTRACT
The proliferation of the SARS-CoV-2 global pandemic has brought to attention the need for epidemiological tools that can detect diseases in specific geographical areas through non-contact means. Such methods may protect those potentially infected by facilitating early quarantine policies to prevent the spread of the disease. Sampling of municipal wastewater has been studied as a plausible solution to detect pathogen spread, even from asymptomatic patients. However, many challenges exist in wastewater-based epidemiology such as identifying a representative sample for a population, determining the appropriate sample size, and establishing the right time and place for samples. In this work, a new approach to address these questions is assessed using stochastic modeling to represent wastewater sampling given a particular community of interest. Using estimates for various process parameters, inferences on the population infected are generated with Monte Carlo simulation output. A case study at the University of Oklahoma is examined to calibrate and evaluate the model output. Finally, extensions are provided for more efficient wastewater sampling campaigns in the future. This research provides greater insight into the effects of viral load, the percentage of the population infected, and sampling time on mean SARS-CoV-2 concentration through simulation. In doing so, an earlier warning of infection for a given population may be obtained and aid in reducing the spread of viruses. © 2023, The Author(s).
ABSTRACT
Background: Exposure to patients with COVID-19 can have a significant impact on mental health of hospital medical staff. The aim of this study was to examine the influence ofproximity to patients with COVID-19 considering occupational position and gender on the mental health of hospital staff. Subjects and methods: N=78 participants were included in the study, with n=40 of them with direct contact to patients with COVID-19 (51%);eight had contact with patients suspected of having COVID-19 (10%), and n=30 with no direct contact to people with COVID-19 (39%). Result(s): Multinomial regression analyses showed that proximity had a negative (inverse) influence on avoidance behaviour as part of PTSD, physical symptoms, somatization, compulsiveness and anger expression-in as tendency to suppress anger. In addition, there was a significant impact of the female gender on increased physical symptoms, while age, work experience and occupation had no further influence. Conclusion(s): These results that hospital medical staff is less psychologically stressed when closer to COVID-19 patients are inconsistent with previous studies. Self-efficacy and locus of control in these situations are relevant for processing the trauma. In summary, perception of personal risk is essential. Proximity is believed to be a proxy variable for personal risk perception. As a synopsis of these results, regular briefings of the hospital staff are recommended to prevent psychological impairment. They should contain specific information about conditions in the affected wards and the risk of infection, which could help reduce risk perception of medical personnel. Copyright © Medicinska naklada - Zagreb, Croatia.
ABSTRACT
Background: COVID-19 trials took <1 year to identify therapies reducing death in >30,000 patients but the Australian Placental Transfusion Study took >12 years to show that delaying cord clamping reduced death or major disability (cerebral palsy, severe visual loss, deafness, or cognitive delay) in 1,531 preterm infants. What can this teach us? Further, as composite outcomes of death or major disability can be inconclusive if each is unequally affected (as in the NeOProM Collaboration1) 2 important aims are (i) global co-operation (https://www.alphacollaboration.com/) to identify core Participant-Intervention-Comparator-Outcome questions for trials assessing mortality, a key outcome, and (ii) to answer those questions in much larger, faster trials. Such trials will also yield much more precise estimates of disability in survivors than was previously typical - a major benefit. Method: To inform these aims we compared enrolment in 2 COVID-19 trials and in 10 trials by IMPACT collaborators with samples >1,500 in high- or low-or-middle-income countries (HIC/LMIC). Results: The COVID-19 trials took 3-9 months, enrolling 13 - 219 per-site-per-year. Perinatal trials took 16-86 months, enrolling 5 - 1,700 per site per year. Trials in pregnant women or LMIC (n = 53,092) enrolled 5 times more than trials in newborns or restricted to HIC (n = 9,014). (Table) Conclusions: Greater international collaboration could resolve questions of shared relevance and priority more rapidly. Megatrials addressing mortality may benefit from highly streamlined processes for enrolment and minimal data collection, e.g., RECOVERY's one-page outcome form.
ABSTRACT
Background: Maternity services in Australia were significantly disrupted during the COVID-19 pandemic and changes were often rapidly introduced, requiring timely dissemination of information to women. The aim of this study was to better understand what information was circulating regarding COVID- 19 and pregnancy in Australia, the presence of misinformation and potential information gaps. Methods: This study adopted a two-phased qualitative approach utilising both social media analysis and in-depth individual interviews with those living in Australia who had been pregnant since March 2020. Social media data were analysed via inductive content analysis. Interview data were thematically analysed. Results: In total, 220 Twitter and Reddit posts were analysed, and 21 women interviewed. Social media was important for both sharing and obtaining information. Community attitudes towards COVID-19 vaccination in pregnancy were also expressed. In the interviews, women expressed wanting further information on the risks COVID-19 posed to themselves and their babies and how insufficient information caused frustration and anxiety. The lack of face-to-face care left women feeling disconnected from their maternity service. Women were more likely to turn to informal sources, such as social media, when there was a perceived lack of information, potentially increasing exposure to misinformation. Health providers were trusted sources, and women preferred communication strategies that allowed them to engage with their providers in real-time. Conclusion: Communication strategies targeting women in the community must be strengthened as the pandemic continues, especially during periods of change. Communication should be proactive, timely and consistent to limit reliance on informal and potentially inaccurate sources.
ABSTRACT
BACKGROUND: Evidence has shown the benefits of labour companions during childbirth. Few studies have documented the relationship between the absence of labour companions and mistreatment of women during childbirth in low-income and middle-income countries using a standardised tool. METHODS: We conducted a secondary analysis of the WHO multi-country study on how women are treated during childbirth, where a cross-sectional community survey was conducted with women up to 8 weeks after childbirth in Ghana, Guinea, Nigeria and Myanmar. Descriptive analysis and multivariable logistic regression were used to examine whether labour companionship was associated with various types of mistreatment. RESULTS: Of 2672 women, about half (50.4%) reported the presence of a labour companion. Approximately half (49.6%) of these women reported that the timing of support was during labour and after childbirth and most of the labour companions (47.0%) were their family members. Across Ghana, Guinea and Nigeria, women without a labour companion were more likely to report physical abuse, non-consented medical procedures and poor communication compared with women with a labour companion. However, there were country-level variations. In Guinea, the absence of labour companionship was associated with any physical abuse, verbal abuse, or stigma or discrimination (adjusted OR (AOR) 3.6, 1.9-6.9) and non-consented vaginal examinations (AOR 3.2, 1.6-6.4). In Ghana, it was associated with non-consented vaginal examinations (AOR 2.3, 1.7-3.1) and poor communication (AOR 2.0, 1.3-3.2). In Nigeria, it was associated with longer wait times (AOR 0.6, 0.3-0.9). CONCLUSION: Labour companionship is associated with lower levels of some forms of mistreatment that women experience during childbirth, depending on the setting. Further work is needed to ascertain how best to implement context-specific labour companionship to ensure benefits while maintaining women's choices and autonomy.