Population Health and Health Services: Old Challenges and New Realities in the COVID-19 Era

Public Health Response Measures for COVID-19 in Kazakhstan

The article describes measures developed to counter the spread of coronavirus infection in the Republic of Kazakhstan. The first cases of coronavirus disease 2019 (COVID-19) in Kazakhstan were detected on March 13, 2020, among people who arrived from Germany. After declaring the state of emergency in the country, the Ministry of Healthcare of the Republic of Kazakhstan began to formulate and implement a comprehensive package of measures aimed at slowing down and stopping the transmission of infection, preventing outbreaks, ensuring optimal care for all patients, especially the seriously ill, minimizing the negative impact of the pandemic on health systems, social services, and economic activities. Developed set of restrictive measures was approved by the Country Office of Word Health Organization (WHO) in Kazakhstan, being later adapted by the European Union (EU) countries and applied in Kyrgyzstan. In addition, article identifies Kazakhstan's experience in creating epidemiological surveillance systems, studying virus mutations, and the clinical aspects of dealing with it to combat the infection. It also indicates the impact of the epidemic on health-care workers and the development of measures to protect them, strengthening infection prevention, and control in medical organizations.

Perinatal mental health and women's lived experience of the COVID-19 pandemic: A scoping review of the qualitative literature 2020-2021

BACKGROUND

The COVID-19 pandemic resulted in global physical distancing restrictions and lockdown orders. Despite the clear documentation of increased mental distress amongst adult populations during the pandemic, there is limited evidence about the mental health challenges of people in the perinatal period (pregnancy, birth and postpartum). The aim of this review is to summarise the qualitative research about women's lived experience and emotional wellbeing during the COVID-19 pandemic.

METHODS

A comprehensive search strategy was developed. Twenty peer-reviewed qualitative research articles published in English from January 1, 2020, to December 15, 2021, were included. Data synthesis outlined the evidence from common themes in a narrative format.

RESULTS

Themes during pregnancy included: (1) information seeking: anxiety and fear; (2) experiencing isolation and disruptions to my social support; (3) 'Going it alone' in pregnancy care; (4) anticipatory grieving and despair; (5) finding 'silver linings' in social restrictions. One key theme during birth was "birthing in a crisis". Themes during postpartum included: (1) isolating 'Early motherhood is much like lockdown'; (2) breastfeeding: triumphs and tribulations; (3) facing disruptions during postpartum care; (4) 'Affecting us for years to come' - COVID-19 was not the only trauma; (5) 'silver linings' during postpartum care.

CONCLUSIONS

This review provides important insights into how experiences of isolation, decreased social support and adaptions to maternity services affect women's mental health. Maternity services should consider how perinatal mental health support may be integrated into the care of women who may still be required to isolate or have reduced visitors during their perinatal care.

STATEMENT OF SIGNIFICANCE

The restrictions and disruptions to maternity care due to the COVID-19 pandemic were likely to impact the mental health of women in the perinatal period (pregnancy, birth and postpartum). What is already known is that public health measures due to COVID-19 increased the prevalence of common perinatal mental disorders (CPMDs) and exacerbated common risk factors for CPMDs (i.e., poor social support).

WHAT THIS PAPER ADDS

The qualitative research with women in the perinatal period during the pandemic provides unique insights into how these events impacted perinatal mental and emotional health. In particular, the ways that global physical distancing measures and maternity care adaptations contributed to women's feelings of distress, isolation, and depression/despair. Silver linings such as more uninterrupted time with immediate family were also identified.

Women's Health and Gynecology: Old Challenges and New Insights

The complexity of women's health goes far beyond medical and surgical knowledge and the achievements of the clinical specialty of Obstetrics and Gynecology, spanning not just the research dimensions of molecular biology, genetics, epidemiology, or health services but also being influenced by gender, social, and psychological relevant factors [...].

Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments

This paper presents the role of artificial intelligence (AI) and other latest technologies that were employed to fight the recent pandemic (i.e., novel coronavirus disease-2019 (COVID-19)). These technologies assisted the early detection/diagnosis, trends analysis, intervention planning, healthcare burden forecasting, comorbidity analysis, and mitigation and control, to name a few. The key-enablers of these technologies was data that was obtained from heterogeneous sources (i.e., social networks (SN), internet of (medical) things (IoT/IoMT), cellular networks, transport usage, epidemiological investigations, and other digital/sensing platforms). To this end, we provide an insightful overview of the role of data-driven analytics leveraging AI in the era of COVID-19. Specifically, we discuss major services that AI can provide in the context of COVID-19 pandemic based on six grounds, (i) AI role in seven different epidemic containment strategies (a.k.a non-pharmaceutical interventions (NPIs)), (ii) AI role in data life cycle phases employed to control pandemic via digital solutions, (iii) AI role in performing analytics on heterogeneous types of data stemming from the COVID-19 pandemic, (iv) AI role in the healthcare sector in the context of COVID-19 pandemic, (v) general-purpose applications of AI in COVID-19 era, and (vi) AI role in drug design and repurposing (e.g., iteratively aligning protein spikes and applying three/four-fold symmetry to yield a low-resolution candidate template) against COVID-19. Further, we discuss the challenges involved in applying AI to the available data and privacy issues that can arise from personal data transitioning into cyberspace. We also provide a concise overview of other latest technologies that were increasingly applied to limit the spread of the ongoing pandemic. Finally, we discuss the avenues of future research in the respective area. This insightful review aims to highlight existing AI-based technological developments and future research dynamics in this area.

The Interplay between Public Health, Well-Being and Population Aging in Europe: An Advanced Structural Equation Modelling and Gaussian Network Approach

Given the COVID-19 pandemic crisis that has deeply affected the health and well-being of people worldwide, the main objective of this paper was to explore the existing relationship between health, welfare, and population aging until the pandemic burst, on the basis of two distinctive groups of European Union (EU) countries, namely, the old and the new member states. The methodological endeavor was based on two advanced econometric techniques, namely, structural equation modelling and network analysis through Gaussian graphical models, applied for each group of EU countries, analyzed during the period of 1995-2017. The main results revealed significant differentiation among the new and old EU countries as follows: public health support was found to have a positive impact on healthy aging and well-being of older people, on other social determinants, and on people's perceived good and very good health; overall, significant influences were revealed in terms of the aging dimensions. The main implications of our findings relate to other researchers as a baseline comparison with the existing situation before the COVID-19 pandemic outbreak, but also to policymakers that have to rethink the public health allocations, both in old and new EU member states, in order to endorse the aging credentials, underpinning a successful and healthy integration of the elderly within all life dimensions.