Spatial patterns of health vulnerability to heatwaves in Vietnam.

The increasing frequency and intensity of heat events have weighty impacts on public health in Vietnam, but their effects vary across regions. In this study, we have applied a vulnerability assessment framework (VAF) to systematically assess the spatial pattern of health vulnerability to heatwaves in Vietnam. The VAF was computed as the function of three dimensions: exposure, sensitivity, and adaptive capacity, with the indicators for each dimension derived from the relevant literature, consultation with experts, and available data. An analytic hierarchy process (AHP) was used to determine the weight of indicators. Each province in Vietnam's vulnerability to the health impacts of heatwaves was evaluated by applying the vulnerability index, computed using 13 indicators (sensitivity index, 9; adaptive capacity index, 3; and exposure index, 1). As a result of this analysis, this study has identified heatwave vulnerability 'hotspots', primarily in the Southeast, Central Highlands, and South Central Coast of Vietnam. However, these hotspots are not necessarily the same as the area most vulnerable to climate change, because some areas that are more sensitive to heatwaves may have a higher capacity to adapt to them due to a host of factors including their population characteristics (e.g. rates of the elderly or children), socio-economic and geographical conditions, and the availability of air-conditioners. This kind of information, provided by the vulnerability index framework, allows policymakers to determine how to more efficiently allocate resources and devise appropriate interventions to minimise the impact of heatwaves with strategies tailored to each region of Vietnam.

The protective effect of green space on heat-related respiratory hospitalization among children under 5 years of age in Hanoi, Vietnam.

Combined effects of global warming and rapid urbanization replace green spaces with urban facilities. Children in urban areas are at a higher risk of heat-related adverse health effects. Our study aimed to examine the protective effect of urban green space on heat-related respiratory hospitalization among children under 5 years of age in Hanoi, the capital city of Vietnam. We estimated district-specific meteorological conditions from 2010 to 2014 by using a dynamic downscaling approach with a fine-resolution numerical climate model. The green space in each district was calculated using satellite data. The attributable fraction of heat-related respiratory hospitalization was estimated using a two-stage model, including a distributed lag non-linear model (DLNM) coupled with multivariate meta-analysis. The association between heat-related respiratory hospitalization and green spaces at the district level was explored using a linear regression model. The central districts were more crowded and hotter, with less green spaces than the outer districts. At temperatures > 34 °C (extreme heat threshold), the hospitalizations in the central districts increased significantly; however, in the outer districts, the hospitalization rate was insignificant. On average, extreme heat attributed 0.33% to citywide hospitalization, 0.35% in the center, and 0.32% in the outer region. Every 1% increase in the green space fraction will reduce heat-related respiratory hospitalization risk by 3.8%. Heat significantly increased the risk of respiratory hospitalization among children under 5 years in Hanoi, Vietnam. These findings are valuable for authorities to consider strategies to protect children's health against the effects of heat, including increasing green space.

Development and Psychometric Properties of the Health Belief Scales Toward COVID-19 Vaccine in Ho Chi Minh City, Vietnam.

BACKGROUND: Beliefs of an individual about health conditions can play an important role in contributing to their behavior concerning good and bad health practices. The aim of this study was to develop and assess a set of vaccination belief scales in relation to COVID-19 vaccines. METHODS: A cross-sectional study was conducted between July 2020 and January 2021 using a systematic random sampling of 425 adult outpatients at two hospitals in Ho Chi Minh City, Vietnam. An instrument was designed based on the dimensional structure and wording of the health belief model (HBM), which was followed by the assessment of the instrument's internal consistency and the construct validity. RESULTS: The 15-item instrument showed the content validity index (CVI) of scales reached a value of 1.0. Exploratory factor analysis was performed on the first sample (n = 170) and extracted 12 out of 15 draft items in a four-factor model (threat of disease, perceived benefits, perceived barriers, and cues to action) that accounted for 68.3% of the total variance. Cronbach's alpha coefficient of 0.765 showed as satisfactory. Following this, the confirmatory factor analysis in the remaining sample (n = 255) found a good fit between a four-factor model and a theoretical model of HBM with acceptable values of fit indices. CONCLUSION: Beliefs scales for COVID-19 vaccination have been determined to be valid and reliable. They can be a helpful instrument for health educators to use for assessing immunization beliefs of individuals and the public where there is the need to implement new vaccines, such as the COVID-19 vaccine, before they are used more widely across the community.