PurposeThis paper presents the impact of the COVID-19 pandemic on Vietnam's tourism industry to propose appropriate recovery strategies in the future.Design/methodology/approachThis study uses a combination of research methods. Data were collected from the Ministry of Culture, Sports and Tourism, General Statistics Office, Vietnam National Administration of Tourism and Ministry of Health. Non-parametric statistical methods were applied to analyze the differences between epidemic and non-epidemic periods and find correlations between the number of infections and data related to the performance of the tourism industry. In-depth interviews with 20 people linked to tourism activities were conducted to analyze the impacts and propose strategies for future recovery.FindingsThe results demonstrate the severe impact of the pandemic on Vietnam's tourism industry based on a decrease in the number of visitors, business activities, revenue and employment rate. Therefore, to recover tourism – Vietnam's key economic sector in the future – developing reasonable strategies to build a safe tourism environment, building a sustainable tourist market, diversifying and improving tourism high-quality tourism products, marketing, human resources, digital transformation and sustainable tourism are necessary, along with the development trend of the industry after COVID-19.Originality/valueThis paper synchronously and systematically presents the effects of COVID-19 on Vietnam's tourism industry based on official data. Strategies are proposed to handle these effects on a reliable scientific basis. This study can be considered a valuable reference for researchers and managers of tourism in developing countries, such as Vietnam.

This study aimed to compare the genetic gains of two different selection methods for agronomic traits in soybean. A population from the cross of VI045032 x 4904 (LSB10) was advanced using the bulk method and modified bulk method to the F6 generation. Measured traits were growth duration, plant height, height of the first pod node, number of pods per plant, the percentage of 3-seeded pods, 100-seed weight, individual yield, and yield. Both methods were equally efficient and could be used for segregating and the stabilizing phase of progenies/populations of soybean crosses. However, the bulk method appeared to be more efficient for the improvement of yield-related traits while the modified bulk method was more efficient for the improvement of morphological traits.

Genetic variability and heritability of quantitative traits, particularly of yield contributing traits, are of great importance in understanding phenotypic variation and the heritable portion of the variation when making selection choices. In the present study, the heritability for days to 50% flowering, days to maturity, plant height at maturity, total number of pods per plant, number-filled pods per plant, 100-seed weight, and grain yield per plant were estimated by variance components from variance analysis of parents and F2 and F2:3 progeny families derived from a single cross. Heritability estimates were high for days to 50% flowering and 100-seed weight, moderate for the number of pods per plant and number of filled pods per plant, and low for seed weight per plant. These results suggested that in the early segregating generations, direct selection for seed size, plant height, and a number of pods per plant might be more efficient than the direct selection for seed yield.

What is known and objective: Unintentional medication discrepancies (UMDs) are common in geriatric patients during care transitions, resulting in frequent undesirable consequences. Medication reconciliation could be a useful practice to prevent or ameliorate UMD. However, this practice in Vietnamese hospitals has not been well established or standardized. This study aims to determine the effect of pharmacist-initiated educational interventions on improving medication reconciliation practice.Methods: This prospective 6-month pre-and post-study was conducted in two internal medicine wards in a Vietnamese 800-bed public hospital. Pharmacists provided training and short-term support to physicians on medication reconciliation. Primary outcome measures were the proportions of patients with at least one UMD at admission. Secondary outcome measures were the proportions of patients with preventable adverse drug events (pADEs) score ≥0.1 due to these UMDs. Odds ratio and 95% confidence intervals were assessed based on a multivariate logistic regression model.Results and discussion: One hundred fifty-two patients were recruited in the preintervention phase, and 146 in the post-intervention phase. Following the interven-

A k-regular graph (k ≥ 1) with n vertices is called a quasi-strongly regular graph with parameter λ (λ ∈ N) if any two adjacent vertices have exactly λ neighbors in common. A graph product is a binary operation on graphs. It is useful to describe graph as product of other primitive graphs. In this paper we present some necessary and sufficient conditions for Decartes product, Tensor product, Lexicographical product and Strong product to be quasi-strongly regular.