Gender- and age-specific prevalence of pterygium and numbers of people living with pterygium in 2010.

<p>Gender- and age-specific prevalence of pterygium and numbers of people living with pterygium in 2010.</p

The geographical distribution of population, pterygium prevalence and number of people with pterygium in China in 2010.

<p>(a) number of population; (b) overall prevalence of pterygium; (c) number of people with pterygium. The map was created by PGS using ArcMap version 10.1 (Environmental Systems Research Institute, Redlands, CA).</p

Variations of pterygium prevalence by age, gender and geographic characteristics in China: A systematic review and meta-analysis

<div><p>Background</p><p>Pterygium is a common chronic ophthalmic condition, which may result in significant visual morbidity or lead to blindness in extreme cases. The prevalence of pterygium in China has not been reported at the sub-national level.</p><p>Methods</p><p>In this study, we conducted a systematic review and meta-analysis to estimate the prevalence of pterygium in China. China National Knowledge Infrastructure (CNKI), Wanfang, Chinese Biomedicine Literature Database (CBM-SinoMed), PubMed, Embase and Medline were searched before September 2016. We performed a multilevel mixed-effect meta-regression based on the included studies, our results showed that age, gender and latitude were significantly associated with pterygium prevalence. Based on the final model, the age and gender-specific prevalence of pterygium in 31 Chinese provinces (except Hongkong, Macau and Taiwan) and the whole country was generated.</p><p>Results</p><p>In 2010, the overall prevalence of pterygium in Chinese people aged 15–84 years was 9.84% (95% CI: 6.72–14.14), and the number of pterygium cases in China was 108.65 million (95% CI: 74.23–156.13).</p><p>Conclusions</p><p>In conclusion, the prevalence of pterygium in Chinese population in 2010 was estimated at both the national and provincial levels. The higher burden of pterygium across the country calls for efforts to advocate public health education encouraging people to take appropriate protective measures.</p></div

Estimated gender- and age-specific prevalence of pterygium and number of people living with pterygium in China in 2010.

<p>Estimated gender- and age-specific prevalence of pterygium and number of people living with pterygium in China in 2010.</p

Multilevel univariate and multivariate meta-regression models of the various factors related to the prevalence of pterygium.

<p>Multilevel univariate and multivariate meta-regression models of the various factors related to the prevalence of pterygium.</p

PRISMA flow chart.

<p>PRISMA flow chart.</p

Estimated gender- and age-specific prevalence of pterygium and number of people living with pterygium in China in 2010.

<p>Estimated gender- and age-specific prevalence of pterygium and number of people living with pterygium in China in 2010.</p

Assessing Spatial Accessibility to Maternity Units in Shenzhen, China

<div><p>Background</p><p>With the rapid development of urbanization, pregnant population is growing rapidly in Shenzhen, and it has been a difficulty to serve more and more pregnant women and reduce spatial access disparities to maternity units (MUs). Understanding of the current status of accessibility to MUs is valuable for supporting the rational allocation of MUs in the future.</p><p>Methods</p><p>Based on pregnant population data and MUs data, this study uses a two-step floating catchment area (2SFCA) method based on Geographic Information System (GIS) to analyze the current spatial accessibility to MUs, and then make a comparison between that to public MUs and private MUs.</p><p>Results</p><p>Our analysis of the accessibility to all MUs within a distance of 20 km shows that the accessibilities of the areas alongside the traditional border management line are acceptable, meanwhile highlights some critical areas, such as the west part of Nanshan district and the vast east part of Longgang district. The comparison between spatial accessibility to public MUs and private MUs shows statistically significant difference.</p><p>Discussion</p><p>Results of this study suggest a great effort should be made to improve the equity of spatial accessibility to MUs in Shenzhen. For policy-making, strategy for the siting and allocation of future MUs, no matter public or private, should guarantee the greatest spatial accessibility for every pregnant woman.</p></div

Accessibility to MUs in Shenzhen using the 2SFCA method.

<p>A. Accessibility to all MUs. B. Accessibility to public MUs. C. Accessibility to private MUs.</p

The spatial distribution of pregnant population and MUs in Shenzhen.

<p>The spatial distribution of pregnant population and MUs in Shenzhen.</p