COVID-19 is a huge problem for the sustainability of the global economy, both short and long term. The spread of COVID-19 has led to a decline in business and economic activity, as well as a contraction in production - virtually all world economies have shown a sharp decline in GDP. World experience shows that agriculture is less vulnerable to a pandemic. In general, there is a calmer reaction to the demand for agricultural products than for industrial ones. The impact of agricultural production volume on the real GDP of Ukraine is investigated with a distributed-lag model on the data for the period 2008-2020. The effects of the impact distribute almost evenly between the four quarters of the year, which means that the lockdown effects in the agriculture sector will affect the GDP of Ukraine for a long period. The decline in production, the closure of markets and borders, the cancellation of orders led to the fact that the agricultural sector faced serious logistical problems. In addition, the economic downturn has affected farmers’ access to financial resources. However, COVID-19 also opened new opportunities for the Ukrainian agricultural sector: accelerating and expanding the process of digitalization, the opportunity to expand the market for export products, and increase skilled and unskilled labor. The authors propose six steps to ensure the sustainable development of the agriculture sector of Ukraine.

Risk-return correspondence for different investment asset classes forms one of the pillars of modern portfolio management. This correspondence together with interdependency analysis allows us to create portfolios that are adequate to given goals and constraints. COVID-induced shock unexpectedly generated high uncertainty and turmoil. Our paper is devoted to the investigation path through shock by agricultural assets (presented by ETFs) in comparison with traditional assets. There were identified three time periods: before the shock, explicitly shock, and post-shock. At the explicit shock period was suggested estimation risk frameworks on the pair indicators: falling depth and recovery ratio. Basic attention focuses on comparison risk-return estimations prior to shock and post-shock. To this end was considered four approaches to risk measurement and were applied to the sample of agricultural ETFs. The results indicated differences in risk changing by the path from before shock to post- shock. Differences arise from choosing the approach of risk measuring. The variability approach reveals much growth of risk of traditional assets, but the Value-at-Risk approach indicates higher risk growth for agricultural ETFs. Combine together with relatively low correlation these estimations provide a clear vision of risk-return frameworks.

Research objective: to study the clinical efficacy of the proposed treatment complex in pregnant women with coronavirus disease (COVID-19).Materials and methods. 60 pregnant women with a moderate COVID-19 who were treated at the Kyiv City Center for Reproductive and Perinatal Medicine were examined and selected to assess the effectiveness of the proposed treatment. Pregnant women were divided into 2 clinical groups: the main group (n = 30) were prescribed treatment complex with progestin, the comparison group consisted of 30 pregnant women with COVID-19, who did not differ in age, sex, body mass index and received only standard drug therapy. Given the immunomodulatory effect, micronized progesterone was administered orally 200 mg three times a day immediately after hospitalization for 2 weeks, regardless of gestational age. Clinical manifestations, laboratory and instrumental indicators, duration of oxygen therapy and respiratory support, duration of hospital stay and intensive care were analyzed to assess the treatment complex.Results. Therapeutic complex with progesterone helps to reduce the severity of respiratory disorders in pregnant women with COVID-19, the general condition of pregnant women improves faster and inflammatory changes in the lungs regress. The positive dynamics of pulse oximetry indicators was noted. The frequency of the additional methods of respiratory support and transfer to the intensive care unit were lower, and a more rapid normalization of laboratory parameters was noted. Incidence of gestational complications (threats of pregnancy termination, placental insufficiency, fetal growth retardation and distress, oligohydramnios, premature birth and premature rupture of membranes) was lower against the background of treatment with progesterone, children status was better at birth. The need for oxygen therapy, the length of stay in the intensive care unit and the total length of hospitalization are significantly reduced when progesterone was prescribed for pregnant women with COVID-19.Conclusions. The use of progesterone in pregnant women with coronavirus disease has a stabilizing effect, has no negative side effects which is significantly expands the scope of the proposed therapy in pregnant women at different stages of gestation.

Objective: optimization of pregravid (pre-pregnancy) preparation in patients with tubal-peritoneal infertility factor and marked delay in endometrial development after unsuccessful assisted reproductive technology (ART) treatment by the use of endometrium injection scratching technology with autoplasma.Material and methods. Study included 40 cases of unsuccessful treatment attempts for tubal-peritoneal factor infertility with severe delay of endometrial development and 10 patients with tubal-peritoneal factor infertility with normal endometrium with one or more unsuccessful ART attempts on history and the existence of cryopreserved embryos of satisfactory quality from previous cycles of assisted reproductive technology. The average age was 39.5 ± 3.1 years. Patients were divided into groups: I – 21 patients who underwent endometrial injection scratching and hormonе replacement therapy (HRT) with a standard (4/6 mg) dose of estradiol; II – 19 patients who were prescribed HRT with a standard (4/6 mg) dose of estradiol; control – 10 patients with normal endometrium who underwent cryo-ET with standard (4/6 mg) dose of estradiol.Clinical results were evaluated and compared in terms of pregnancy rate per embryo transfer and pregnancy loss rate in the first trimester. The correspondence of the morphofunctional structure of the endometrium was evaluated by ultrasound, cytologically, Doppler measurements, histologically, immunohistochemically and via selective electron microscopy. Endometrium was 8.9 ± 1.1 mm during the period of progesterone prescription in the cryoembryo transfer cycle. All participants were transferred day 5 embryos. Results. In the cryo-ET program autoplasma injection scratching in patients with marked delay of endometrial development after the first seven days of monotherapy with a starting dose of estradiol was accompanied by a significant improvement in clinical outcomes in terms of pregnancy rate (25%) and definite decrease of early reproductive losses (25%).Conclusions. After pre-pregnancy preparation according to our method, it is quite sufficient to perform HRT with a standard dose of estradiol (4/6 mg/day) before starting progesterone irrespective of the endometrial development degree. Meanwhile, injection scratching is advisable to be prescribed in cases of marked delay in the endometrium development and it should be combined with physiotherapy methods.

The article is devoted to reviewing of main 8 models, which are used to analyze the agriculture sector, medium, and long-term forecasts, as well as policy making. The review is based on comparative analysis of models conducted by the authors according to a number of criteria. On its basis, formed the distinctive features of modeling, which are realized in these models. The first distinctive feature is the problem of choosing the level of aggregation in models. This feature generates the direction of research about the effectiveness of the application of one or another aggregation level in modeling. The second distinctive feature of modeling is structurization models into two types: partial equilibrium and computable general equilibrium models. The method of choosing the type of model is one of the actual problems. The third distinctive feature is dominance of deterministic approaches in the construction of models. The use of stochastic analysis in models, in the opinion of the authors, does not yet have a system analysis. Based on the carried out analysis, the authors tried to form directions for the development of the agriculture sector modeling.