Maternal Psychopathological Profile during Childbirth and Neonatal Development during the COVID-19 Pandemic: A Pre-Posttest Study.

The coronavirus SARS-CoV-2 generated an alert that became a state of emergency in health issues worldwide, a situation that affected the entire population, including pregnant women. The present study aims to understand the effect of the psychopathological profile of a sample of pregnant women at the time of the COVID-19 pandemic on themselves during childbirth (Phase 1) and after childbirth and the anthropometric measures of the neonate at birth (Phase 2). The total sample comprises 81 pregnant women aged 32.07 years (SD = 5.45) and their neonates. Sociodemographic and obstetric data of the sample were collected. During pregnancy, psychopathology was measured by means of the SCL-90, as well as other psychological measures on stress and social support. Cluster k-means techniques were used to uncover the heterogeneous profiles of psychopathology in Phase 1. Two main psychopathological profiles were found (Cluster 1: High psychopathological symptoms; Cluster 2: Low psychopathological symptoms). The clusters generated show significant differences in all the SCL-90-R subscales used and in the general index at Phase 1. After childbirth, high psychopathology profile membership was associated with a greater probability of having a non-eutocic delivery. On the other hand, the low psychopathological symptoms cluster shows higher levels of depressive symptoms, hostility, paranoid ideation, and psychotic symptoms in Phase 2. In conclusion, there seemed to exist two heterogeneous profiles of psychopathology in pregnant women during the pandemic; the stress related to the pandemic seemed uninfluential on the development of a profile of high psychopathological symptoms and the psychopathology profile may influence delivery and postpartum outcomes.

Psychological Impact of the COVID-19 Pandemic on Pregnant Women: A Scoping Review.

During the gestation period, pregnant women experience physical and psychological changes, which represent vulnerability factors that can boost the development of mental health conditions. The COVID-19 pandemic is producing new changes in the routines of the whole society, especially on lifestyle habits. The psychological impact associated with the COVID-19 pandemic and pregnant women remains unclear. A scoping review regarding the psychological impact of the COVID-19 pandemic on pregnant women was conducted. Searchers were conducted using the PubMed, Web of Science and CINAHL databases. Articles in Spanish, English and French were included. The search was conducted between November 2020 and September 2021. We identified 31 studies that evaluated 30,049 expectant mothers during the COVID-19 pandemic. Pregnant women showed high levels of anxiety and depression symptomatology. Fear of contagion and concerns regarding the health of the fetus were identified as the main variables related to psychological distress. An increase of the levels of depression, anxiety and stress during the COVID-19 pandemic amongst pregnant women has been observed. Moreover, an increased vulnerability of the fetus due to placental metabolic alterations is discussed. This review suggests that the COVID-19 pandemic is associated with a negative psychological impact on pregnant women. Thus, high levels of anxiety and depression symptoms suggest the need for a systematic approach.

Pharmacological Treatments against COVID-19 in Pregnant Women.

The recent respiratory virus known as SARS-CoV-2 has caused millions of deaths worldwide, causing great uncertainty due to the lack of a specific treatment, which has been mitigated by the use of various drugs traditionally used against other types of pathologies. Pregnancy presents special physiological conditions that expose the pregnant woman and the foetus to greater risk. Pregnant women are often excluded from trials due to possible risk of toxicity or side effects, resulting in a lack of knowledge about the use of drugs and treatments during pregnancy. The main objective of this review was to compile existing knowledge about currently available drug treatments for COVID-19 in pregnant women. The review report met the criteria of the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) review protocol and was registered with the registration number CRD42021251036. The electronic databases searched were Scopus, PubMed, CINAHL and SciELO. Finally, 22 articles were included, resulting in an analysis of drugs with an acceptable safety profile in the treatment of pregnant women with COVID-19.

Evolution of disease transmission during the COVID-19 pandemic: patterns and determinants.

Epidemic models are being used by governments to inform public health strategies to reduce the spread of SARS-CoV-2. They simulate potential scenarios by manipulating model parameters that control processes of disease transmission and recovery. However, the validity of these parameters is challenged by the uncertainty of the impact of public health interventions on disease transmission, and the forecasting accuracy of these models is rarely investigated during an outbreak. We fitted a stochastic transmission model on reported cases, recoveries and deaths associated with SARS-CoV-2 infection across 101 countries. The dynamics of disease transmission was represented in terms of the daily effective reproduction number ([Formula: see text]). The relationship between public health interventions and [Formula: see text] was explored, firstly using a hierarchical clustering algorithm on initial [Formula: see text] patterns, and secondly computing the time-lagged cross correlation among the daily number of policies implemented, [Formula: see text], and daily incidence counts in subsequent months. The impact of updating [Formula: see text] every time a prediction is made on the forecasting accuracy of the model was investigated. We identified 5 groups of countries with distinct transmission patterns during the first 6 months of the pandemic. Early adoption of social distancing measures and a shorter gap between interventions were associated with a reduction on the duration of outbreaks. The lagged correlation analysis revealed that increased policy volume was associated with lower future [Formula: see text] (75 days lag), while a lower [Formula: see text] was associated with lower future policy volume (102 days lag). Lastly, the outbreak prediction accuracy of the model using dynamically updated [Formula: see text] produced an average AUROC of 0.72 (0.708, 0.723) compared to 0.56 (0.555, 0.568) when [Formula: see text] was kept constant. Monitoring the evolution of [Formula: see text] during an epidemic is an important complementary piece of information to reported daily counts, recoveries and deaths, since it provides an early signal of the efficacy of containment measures. Using updated [Formula: see text] values produces significantly better predictions of future outbreaks. Our results found variation in the effect of early public health interventions on the evolution of [Formula: see text] over time and across countries, which could not be explained solely by the timing and number of the adopted interventions.

Global socio-economic losses and environmental gains from the Coronavirus pandemic.

On 3 April 2020, the Director-General of the WHO stated: "[COVID-19] is much more than a health crisis. We are all aware of the profound social and economic consequences of the pandemic (WHO, 2020)". Such consequences are the result of counter-measures such as lockdowns, and world-wide reductions in production and consumption, amplified by cascading impacts through international supply chains. Using a global multi-regional macro-economic model, we capture direct and indirect spill-over effects in terms of social and economic losses, as well as environmental effects of the pandemic. Based on information as of May 2020, we show that global consumption losses amount to 3.8$tr, triggering significant job (147 million full-time equivalent) and income (2.1$tr) losses. Global atmospheric emissions are reduced by 2.5Gt of greenhouse gases, 0.6Mt of PM2.5, and 5.1Mt of SO2 and NOx. While Asia, Europe and the USA have been the most directly impacted regions, and transport and tourism the immediately hit sectors, the indirect effects transmitted along international supply chains are being felt across the entire world economy. These ripple effects highlight the intrinsic link between socio-economic and environmental dimensions, and emphasise the challenge of addressing unsustainable global patterns. How humanity reacts to this crisis will define the post-pandemic world.