Impact of climate indicators on the COVID-19 pandemic in Saudi Arabia

24-Hour movement behaviours and COVID-19 among children in the Kingdom of Saudi Arabia: A repeat cross-sectional study

This study investigated how children's 24-hour (24-h) movement behaviours were affected by SARS-CoV-2 (COVID-19) in the Kingdom of Saudi Arabia. Previous research examined 24-h movement behaviours in Saudi Arabia seven months after the World Health Organization (WHO) declared COVID-19 a global pandemic. This repeat cross-sectional study examined changes in 24-h movement behaviours 12 months after the WHO declaration. The Time 2 survey repeated five months (1 March – 15 May 2021) after Time 1 survey (1 October – 11 November 2020). The survey was distributed to parents of children aged 6–12 years across Saudi Arabia via an online survey. Children were classified as meeting 24-h movement guidelines if they reported uninterrupted sleep for 9–11 ​h per night, ≤ 2 ​h of recreational sedentary screen time (RST) per day and ≥ 60 ​min of moderate-to vigorous-intensity physical activity (MVPA) per day. A total of 1 045 parents from all regions of Saudi Arabia responded (42.4%). Only 1.8% of children met all components of the guidelines, compared to 3.4% in Time 1. In the present study, girls spent more days per week in MVPA ≥ 60 ​min duration than boys (3.0 vs 2.6; p ​= ​0.025), while boys had spent more days per week engaged in activities that strengthened muscle and bone than girls (3.0 vs 2.8; p ​= ​0.019). Healthy levels of physical activity (PA), sedentary behaviour (SB) and sleep further declined in Saudi children five months after the Time 1 survey. These challenges require urgent intervention to ensure children's movement behaviours improve as Saudi Arabia moves out of the COVID-19 pandemic.

Using an Eigenvector Spatial Filtering-Based Spatially Varying Coefficient Model to Analyze the Spatial Heterogeneity of COVID-19 and Its Influencing Factors in Mainland China

The COVID-19 pandemic has led to many deaths and economic disruptions across the world. Several studies have examined the effect of corresponding health risk factors in different places, but the problem of spatial heterogeneity has not been adequately addressed. The purpose of this paper was to explore how selected health risk factors are related to the pandemic infection rate within different study extents and to reveal the spatial varying characteristics of certain health risk factors. An eigenvector spatial filtering-based spatially varying coefficient model (ESF-SVC) was developed to find out how the influence of selected health risk factors varies across space and time. The ESF-SVC was able to take good control of over-fitting problems compared with ordinary least square (OLS), eigenvector spatial filtering (ESF) and geographically weighted regression (GWR) models, with a higher adjusted R2 and lower cross validation RMSE. The impact of health risk factors varied as the study extent changed: In Hubei province, only population density and wind speed showed significant spatially constant impact; while in mainland China, other factors including migration score, building density, temperature and altitude showed significant spatially varying impact. The influence of migration score was less contributive and less significant in cities around Wuhan than cities further away, while altitude showed a stronger contribution to the decrease of infection rates in high altitude cities. The temperature showed mixed correlation as time passed, with positive and negative coefficients at 2.42 °C and 8.17 °C, respectively. This study could provide a feasible path to improve the model fit by considering the problem of spatial autocorrelation and heterogeneity that exists in COVID-19 modeling. The yielding ESF-SVC coefficients could also provide an intuitive method for discovering the different impacts of influencing factors across space in large study areas. It is hoped that these findings improve public and governmental awareness of potential health risks and therefore influence epidemic control strategies.