Should Electronic Faucets Be Recommended in Hospitals?

2004 ◽  
Vol 25 (11) ◽  
pp. 997-1000 ◽  
Author(s):  
Iris F. Chaberny ◽  
Petra Gastmeier
Keyword(s):  
Pseudomonas Aeruginosa ◽  
High Risk ◽  
Nosocomial Infection ◽  
Potential Risk ◽  
Risk Areas

AbstractMicrobiological examinations of electronic faucets newly installed in a hospital kitchen revealed high bacteria counts andPseudomonas aeruginosaduring a 6-month period of observation. Our data suggest that the use of electronic faucets poses a potential risk for nosocomial infection in high-risk areas of hospitals.

scholarly journals An Alternative Risk Assessment Model of Urban Waterlogging: A Case Study of Ningbo City

2021 ◽  
Vol 13 (2) ◽  
pp. 826
Author(s):  
Meiling Zhou ◽  
Xiuli Feng ◽  
Kaikai Liu ◽  
Chi Zhang ◽  
Lijian Xie ◽  
...  
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Assessment Model ◽  
Risk Assessments ◽  
Risk Assessment Model ◽  
Risk Area ◽  
The North ◽  
Coastal Cities ◽  
Risk Areas ◽  
The City

Influenced by climate change, extreme weather events occur frequently, and bring huge impacts to urban areas, including urban waterlogging. Conducting risk assessments of urban waterlogging is a critical step to diagnose problems, improve infrastructure and achieve sustainable development facing extreme weathers. This study takes Ningbo, a typical coastal city in the Yangtze River Delta, as an example to conduct a risk assessment of urban waterlogging with high-resolution remote sensing images and high-precision digital elevation models to further analyze the spatial distribution characteristics of waterlogging risk. Results indicate that waterlogging risk in the city proper of Ningbo is mainly low risk, accounting for 36.9%. The higher-risk and medium-risk areas have the same proportions, accounting for 18.7%. They are followed by the lower-risk and high-risk areas, accounting for 15.5% and 9.6%, respectively. In terms of space, waterlogging risk in the city proper of Ningbo is high in the south and low in the north. The high-risk area is mainly located to the west of Jiangdong district and the middle of Haishu district. The low-risk area is mainly distributed in the north of Jiangbei district. These results are consistent with the historical situation of waterlogging in Ningbo, which prove the effectiveness of the risk assessment model and provide an important reference for the government to prevent and mitigate waterlogging. The optimized risk assessment model is also of importance for waterlogging risk assessments in coastal cities. Based on this model, the waterlogging risk of coastal cities can be quickly assessed, combining with local characteristics, which will help improve the city’s capability of responding to waterlogging disasters and reduce socio-economic loss.

Esophageal cancer in high-risk areas of China: research progress and challenges

2017 ◽  
Vol 27 (3) ◽  
pp. 215-221 ◽  
Author(s):  
Yingsong Lin ◽  
Yukari Totsuka ◽  
Baoen Shan ◽  
Chaochen Wang ◽  
Wenqiang Wei ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
High Risk ◽  
Research Progress ◽  
Risk Areas

Small-Area Analysis: Targeting High-Risk Areas for Adolescent Pregnancy Prevention Programs

1998 ◽  
Vol 30 (4) ◽  
pp. 173 ◽  
Author(s):  
Jeffrey B. Gould ◽  
Beate Herrchen ◽  
Tanya Pham ◽  
Stephan Bera ◽  
Claire Brindis
Keyword(s):  
High Risk ◽  
Adolescent Pregnancy ◽  
Small Area ◽  
Prevention Programs ◽  
Pregnancy Prevention ◽  
Small Area Analysis ◽  
Adolescent Pregnancy Prevention ◽  
Risk Areas

scholarly journals Risk Factors for Nosocomial Infection in a High-Risk Nursery

2000 ◽  
Vol 21 (4) ◽  
pp. 250-251 ◽  
Author(s):  
Rahaman O. Suara ◽  
Michal Young ◽  
Inez Reeves
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Nosocomial Infection

scholarly journals Identifying high-risk areas for sporadic measles outbreaks: lessons from South Africa

2013 ◽  
Vol 91 (3) ◽  
pp. 174-183 ◽  
Author(s):  
Benn Sartorius ◽  
C Cohen ◽  
T Chirwa ◽  
G Ntshoe ◽  
A Puren ◽  
...  
Keyword(s):  
South Africa ◽  
High Risk ◽  
Risk Areas ◽  
Measles Outbreaks

scholarly journals Risk factors of acute diarrhoea in summer – a nation-wide French case-control study

2000 ◽  
Vol 124 (3) ◽  
pp. 409-416 ◽  
Author(s):  
Y. YAZDANPANAH ◽  
L. BEAUGERIE ◽  
P. Y. BOËLLE ◽  
L. LETRILLIART ◽  
J. C. DESENCLOS ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Case Control Study ◽  
National Level ◽  
Acute Diarrhoea ◽  
Case Control ◽  
French Case ◽  
Risk Areas ◽  
Matched Case ◽  
Control Study

The aim of this study was to identify risk factors for acute diarrhoea (AD) during the summer in France. A matched case-control study was conducted at a national level among patients of 500 general practitioners (GPs). From July to September 1996, 468 case-control pairs were included. Cases were more likely than controls (i) to live away from their main residence (OR 3·0; 95% CI 1·6–5·7), (ii) to have returned from a country at high risk of AD (OR 4·6; CI 0·9–23·1), and (iii) to have been in contact with a case of AD (OR 2·0; CI 1·3–3·1). A significantly decreased risk of AD was found for consumption of well-cooked chicken (OR 0·5; CI 0·3–0·8) and raw or undercooked home-made egg-containing products (OR 0·6; CI 0·4–0·8). These findings suggest that travel to high-risk areas, or travel within France, and being in contact with a case of AD, are risk factors for the occurrence of AD in summer in France.

Hepatitis A

2021 ◽  
Vol 69 (3) ◽  
pp. 142-142
Author(s):  
Stephanie Hammond
Keyword(s):  
High Risk ◽  
Occupational Health ◽  
Hepatitis A ◽  
Hepatitis A Virus ◽  
Signs And Symptoms ◽  
Health Nurse ◽  
Risk Areas ◽  
Occupational Health Nurse ◽  
Liver Infection

Hepatitis A is a vaccine preventable liver infection caused by the hepatitis A virus. The occupational health nurse should be aware of the signs and symptoms of the virus, educate workers about the infection, and recommend immunization for workers traveling or working in high-risk areas for hepatitis A.

scholarly journals Spatio-temporal epidemiology of the tuberculosis incidence rate in Iran 2008 to 2018

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Behzad Kiani ◽  
Amene Raouf Rahmati ◽  
Robert Bergquist ◽  
Soheil Hashtarkhani ◽  
Neda Firouraghi ◽  
...  
Keyword(s):  
High Risk ◽  
Incidence Rate ◽  
Policy Development ◽  
Temporal Pattern ◽  
Temporal Analysis ◽  
High Rate ◽  
Spatial Scan Statistic ◽  
Cross Sectional ◽  
Risk Areas ◽  
Spatio Temporal

Abstract Background Effective reduction of tuberculosis (TB) requires information on the distribution of TB incidence rate across time and location. This study aims to identify the spatio-temporal pattern of TB incidence rate in Iran between 2008 and 2018. Methods This cross-sectional study was conducted on aggregated TB data (50,500 patients) at the provincial level provided by the Ministry of Health in Iran between 2008 and 2018. The Anselin Local Moran’s I and Getis-Ord Gi* were performed to identify the spatial variations of the disease. Furthermore, spatial scan statistic was employed for purely temporal and spatio-temporal analyses. In all instances, the null hypothesis of no clusters was rejected at p ≤ 0.05. Results The overall incidence rate of TB decreased from 13.46 per 100,000 (95% CI: 13.19–13.73) in 2008 to 10.88 per 100,000 (95% CI: 10.65–11.11) in 2018. The highest incidence rate of TB was observed in southeast and northeast of Iran for the whole study period. Additionally, spatial cluster analysis discovered Khuzestan Province, in the West of the country, having significantly higher rates than neighbouring provinces in terms of both total TB and smear-positive pulmonary TB (SPPTB). Purely temporal analysis showed that high-rate and low-rate clusters were predominantly distributed in the time periods 2010–2014 and 2017–2018. Spatio-temporal results showed that the statistically significant clusters were mainly distributed from centre to the east during the study period. Some high-trend TB and SPPTB statistically significant clusters were found. Conclusion The results provided an overview of the latest TB spatio-temporal status In Iran and identified decreasing trends of TB in the 2008–2018 period. Despite the decreasing incidence rate, there is still need for screening, and targeting of preventive interventions, especially in high-risk areas. Knowledge of the spatio-temporal pattern of TB can be useful for policy development as the information regarding the high-risk areas would contribute to the selection of areas needed to be targeted for the expansion of health facilities.

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