Effect of COVID-19 on sexual function and activities among reproductive-age women in Ibadan, South-West Nigeria

Background

Since the outbreak of COVID-19 disease, the environment, families, individuals, and their ways of living have been affected. Social distancing was one of the strategies for the prevention of SARS-CoV-2 infection. It led to limited social interactions for fear of contracting the infection, which ultimately affected relationships, among which is sexual health.

Aim

To determine the risk of female sexual dysfunction and the effect of the COVID-19 pandemic on sexual function and activities among women of reproductive age in Ibadan, South-West Nigeria.

Methods

This cross-sectional study of 218 reproductive-age women evaluated the sexual function before, during, and after the COVID-19 disease pandemic and lockdown. Pretested semistructured self-administered questionnaires with the Female Sexual Function Index (FSFI) were used for data collection. Information collected included sociodemographic and gynecologic characteristics and COVID-19 experiences, as well as sexual history and function before, during, and after the COVID-19 pandemic lockdown. The level of significance was set at P < .05.

Outcomes

Respondents were aged 20 to 50 years (95%) with a mean ± SD age of 34.82 ± 8.52 years; the majority were married (75.58%); one-fifth (21.9%) tested positive for COVID-19 infection; and participants who tested positive for COVID-19 infections were mostly health care workers.

Results

An absence of sexual activity was reported in 9.18% of participants during lockdown, 7.73% before lockdown, and 4.18% after lockdown. The risk of female sexual dysfunction was prevalent among participants, especially those who tested positive for COVID-19 infection. The prevalence was worse during the pandemic lockdown (53.57%) than before (48.39%) or after (51.61%), and a similar pattern was seen among those who tested negative. There was no statistically significant difference in risk of developing sexual dysfunction during the COVID-19 pandemic between those who tested positive and negative to COVID-19. The arousal and desire domains contributed the highest proportion of low FSFI scores.

Clinical Implications

Nationwide lockdowns, which may be a method of control for pandemics, may result in psychosocial complications such as female sexual dysfunction.

Strength and Limitations

Most respondents had tertiary education and were able to respond to self-administered questionnaires, yet the risk of recall bias remains a concern whereas the pandemic met the world unprepared and baseline FSFI prior the pandemic was not available for participants. There are no local validation studies for the FSFI in Nigeria, which could have aided interpretation of results.

Conclusion

A low FSFI score is prevalent in Ibadan, South-West Nigeria, with a higher incidence reported during the COVID-19 pandemic lockdown.

Using machine learning probabilities to identify effects of COVID-19

Coronavirus disease 2019 (COVID-19), the disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, has had extensive economic, social, and public health impacts in the United States and around the world. To date, there have been more than 600 million reported infections worldwide with more than 6 million reported deaths. Retrospective analysis, which identified comorbidities, risk factors, and treatments, has underpinned the response. As the situation transitions to an endemic, retrospective analyses using electronic health records will be important to identify the long-term effects of COVID-19. However, these analyses can be complicated by incomplete records, which makes it difficult to differentiate visits where the patient had COVID-19. To address this issue, we trained a random Forest classifier to assign a probability of a patient having been diagnosed with COVID-19 during each visit. Using these probabilities, we found that higher COVID-19 probabilities were associated with a future diagnosis of myocardial infarction, urinary tract infection, acute renal failure, and type 2 diabetes.

Telemedication for Opioid Use Disorder: A New Approach for Treatment

Objective

This study aimed to determine the effect that the transition to incorporating remote care had on patients in medication for opioid use disorder (MOUD) treatment and to identify benefits and gaps in services due to this transition.

Materials and Methods

Treatment data on patients receiving buprenorphine through the MOUD program were collected using electronic medical records. A 28-month window was created and encompassed three time periods: in-person MOUD prepandemic, fully remote/telehealth for MOUD (tele-MOUD), and hybrid services (combination of tele-MOUD and in-person care).

Results

Rates of reported illicit drug use were consistent across all three time periods, with no statistically significant differences. Attendance at MOUD appointments and urine drug screen completion trended downward during fully remote care but approached prepandemic levels during hybrid services.

Discussion

Tele-MOUD presents opportunities for improving treatment of patients with opioid use disorder, and hybrid models should continue to be adopted, evaluated, and reimbursed by insurances.

Predicted COVID-19 molecular effects on endometrium reveal key dysregulated genes and functions

COVID-19 exerts systemic effects that can compromise various organs and systems. Although retrospective and in-silico studies and prospective preliminary analysis have assessed the possibility of direct infection of the endometrium, there is a lack of in-depth and prospective studies on the impact of systemic disease on key endometrial genes and functions across the menstrual cycle and window of implantation. Gene expression data has been obtained from (i) healthy secretory endometrium collected from 42 women without endometrial pathologies and (ii) nasopharyngeal swabs from 231 women with COVID-19 and 30 negative controls. To predict how COVID-19-related gene expression changes impact key endometrial genes and functions, an in-silico model was developed by integrating the endometrial and COVID-19 datasets in an affected mid-secretory endometrium gene co-expression network. An endometrial validation set comprising 16 women (8 confirmed to have COVID-19 and 8 negative test controls) was prospectively collected to validate the expression of key genes. We predicted that five genes important for embryo implantation were affected by COVID-19 (downregulation of COBL, GPX3 and SOCS3, and upregulation of DOCK2 and SLC2A3). We experimentally validated these genes in COVID19 patients using endometrial biopsies during the secretory phase of the menstrual cycle. The results generally support the in-silico model predictions, suggesting that the transcriptomic landscape changes mediated by COVID-19 affect endometrial receptivity genes and key processes necessary for fertility, such as immune system function, protection against oxidative damage and development vital for embryo implantation and early development.

The disturbance of urban mobility in the context of COVID-19 pandemic

Since the COVID-19 outbreaks, extensive studies have focused on mobility changes to demonstrate the pandemic effect; some studies identified remarkable mobility declines and revealed a negative relationship between mobility and the number of COVID-19 cases. However, counter-arguments have been raised, exemplifying insignificant variations, recuperated travel frequency, and transitory decline effect. This paper copes with this contentious issue, analyzing time series mobility data in comprehensive timelines. The assessment of the pandemic effect builds on significant change rate (SCR) ceilings and the density of the semantic outliers derived from the kernel-based approach. The comparison between pre- and post-pandemic periods indicated that mobility decline pervaded Australia, Europe, New York, New Zealand, and Seoul. However, the degree of the effect was alleviated over time, showing decreased/increased SCR ceilings of negative/positive outliers. The changes in resulting outlier density and SCR ceilings corroborated that the pandemic outbreaks did not lead to persistent mobility decline. The findings provide useful insights for predicting epidemics and setting appropriate restrictions and transportation systems in urban areas.

An overview of effects of COVID-19 on mobility and lifestyle: 18 months since the outbreak

The outbreak of SARS-COV-2 has led to the COVID-19 pandemic in March 2020 and caused over 4.5 million deaths worldwide by September 2021. Besides the public health crisis, COVID-19 affected the global economy and development significantly. It also led to changes in people's mobility and lifestyle during the COVID-19 pandemic. In addition to short-term changes, the drastic transformation of the world may account for the potentially disruptive long-term impacts. Recognizing the adverse effects of the COVID-19 pandemic is crucial in mitigating the negative behavioral changes that directly relate to people's psychological and social well-being. It is important to stress that citizens and governments face an uncertain situation since nobody knows exactly how the viruses and cures will develop. Better understanding uncertainties and evaluating behavioral changes contribute to addressing the future of urban development, public transportation, and behavioral strategies to tackle COVID-19 negative consequences. The major sources of impacts on short-term (route, departure time, mode, teleshopping, and teleworking) and medium and long-term (car ownership, work location, choice of job, and residential location) mobility decisions are mostly reviewed and discussed in this paper.

The aquaculture supply chain in the time of covid-19 pandemic: Vulnerability, resilience, solutions and priorities at the global scale

The COVID-19 global pandemic has had severe, unpredictable and synchronous impacts on all levels of perishable food supply chains (PFSC), across multiple sectors and spatial scales. Aquaculture plays a vital and rapidly expanding role in food security, in some cases overtaking wild caught fisheries in the production of high-quality animal protein in this PFSC. We performed a rapid global assessment to evaluate the effects of the COVID-19 pandemic and related emerging control measures on the aquaculture supply chain. Socio-economic effects of the pandemic were analysed by surveying the perceptions of stakeholders, who were asked to describe potential supply-side disruption, vulnerabilities and resilience patterns along the production pipeline with four main supply chain components: a) hatchery, b) production/processing, c) distribution/logistics and d) market. We also assessed different farming strategies, comparing land- vs. sea-based systems; extensive vs. intensive methods; and with and without integrated multi-trophic aquaculture, IMTA. In addition to evaluating levels and sources of economic distress, interviewees were asked to identify mitigation solutions adopted at local / internal (i.e., farm-site) scales, and to express their preference on national / external scale mitigation measures among a set of a priori options. Survey responses identified the potential causes of disruption, ripple effects, sources of food insecurity, and socio-economic conflicts. They also pointed to various levels of mitigation strategies. The collated evidence represents a first baseline useful to address future disaster-driven responses, to reinforce the resilience of the sector and to facilitate the design reconstruction plans and mitigation measures, such as financial aid strategies.

Impacts of COVID-19 on urban rail transit ridership using the Synthetic Control Method

The outbreak of COVID-19 in 2020 has had drastic impacts on urban economies and activities, with transit systems around the world witnessing an unprecedented decline in ridership. This paper attempts to estimate the effect of COVID-19 on the daily ridership of urban rail transit (URT) using the Synthetic Control Method (SCM). Six variables are selected as the predictors, among which four variables unaffected by the pandemic are employed. A total of 22 cities from Asia, Europe, and the US with varying timelines of the pandemic outbreak are selected in this study. The effect of COVID-19 on the URT ridership in 11 cities in Asia is investigated using the difference between their observed ridership reduction and the potential ridership generated by the other 11 cities. Additionally, the effect of the system closure in Wuhan on ridership recovery is analyzed. A series of placebo tests are rolled out to confirm the significance of these analyses. Two traditional methods (causal impact analysis and straightforward analysis) are employed to illustrate the usefulness of the SCM. Most Chinese cities experienced about a 90% reduction in ridership with some variation among different cities. Seoul and Singapore experienced a minor decrease compared to Chinese cities. The results suggest that URT ridership reductions are associated with the severity and duration of restrictions and lockdowns. Full system closure can have severe impacts on the speed of ridership recovery following resumption of service, as demonstrated in the case of Wuhan with about 22% slower recovery. The results of this study can provide support for policymakers to monitor the URT ridership during the recovery period and understand the likely effects of system closure if considered in future emergency events.

Early Childhood Educators' Perceptions of Their Emotional State, Relationships with Parents, Challenges, and Opportunities During the Early Stage of the Pandemic

This article presents a study about the impact of COVID-19 on childcare center educators in Quebec (Canada). Regulated childcare services were closed due to the pandemic between March 16 and May 31, 2020, in areas considered "hot" (highly affected by the pandemic). During this time, some centers were transformed into "emergency childcare services" available to parents considered to be essential workers. Therefore, few children attended, and most educators worked remotely. In May 2020, 372 educators completed an online questionnaire regarding their emotional state, challenges, and learning opportunities. Results indicate that half of the respondents reported a decrease in their level of well-being at work and an increase in their stress level. Educators working remotely were more likely to report a lower level of stress than when working with children at daycare (36.1% vs 19.7%). Despite these findings, educators estimated that the parents who used their emergency childcare service presented either high (37.7%) or average (32.2%) levels of wellbeing. The factors that educators identified as facilitating their interactions with families included parental recognition of their work (11.68%) and direct contact with them (12.62%). While many tasks accomplished at home were done for the first time during this period (i.e., creating video capsules for children and parents, virtual meetings with children and colleagues), a large majority of respondents reported that these tasks made them feel useful. Working at their own pace (34.7%) was seen as the principal advantage of remote working. Finally, 28.84% mentioned that the reduced ratio (1:2 or 1:3) was a facilitating factor that they would like to maintain during the upcoming reopening phase. The discussion uses the Job Demands and Resources theoretical framework (Bakker and Demerouti in Wellbeing 3(2):1-28, 2014; Dicke et al. in J Occupat Health Psychol 23(2): 262-277, 2017) to explain the educators' work-related demands and emotional state in both remote and CPE working pandemic contexts. In conclusion, we argued that this pandemic reveals the complexity, but also the essential nature of the work of early childhood educators, in particular by identifying their needs for support and recognition essential to their professional commitment.