[Systematic sanitation of dairy herds with mastitis caused by Staphylococcus aureus]

Several strategies are known for sanitizing dairy herd problems caused by Staphylococcus (S.) aureus. They mostly consist of general management measures but specific decision-making at an individual animal level has not been described. A sanitation program in the form of a process chart developed by the Bern Clinic for Ruminants was undertaken in 10 dairy herds with this problem. In an affected herd the cows were divided into 3 groups: healthy, suspect, infected. Three milk samples (MS), taken at two-week intervals were cultivated. The cows were grouped according to the culture results. To measure the success of the sanitation program, the key figures <> (target < 150,000 SCC/ml) and <> (limit: 150'00 SCC/ml, target < 20 %) were used. These were compared with the corresponding key figures from dairy herds, which were followed-up by the Bern Clinic for Ruminants (control herds). The problem herd sanitation program lasted between 2 and 21 months. A total of 1598 MS were analyzed, of which 241 (15 %) were S. aureus positive (15 %). At the end of the sanitation the key figures between problem herds and control herds were similar. The sanitation program has proved to be practical. The detection of S. aureus positive cows proved to be reliable and the udder health of the herd could be significantly improved.

Sanitation in developing countries: A review through a gender lens

Sanitation has evolved from a purely technical discipline to one that includes social, environmental, economic and, increasingly, gender considerations. However, blurry notions of gender are frequently offered in the sanitation literature. Although it has been recognized that gender-responsive sanitation does not mean ‘toilets for women’, substantial alternatives are rarely debated. We structure our review of sanitation in developing countries along three lines: we start by fine-tuning the concept of gender both from the academic and the practitioner's perspective, analyse relevant developments in gender-specific policies and programming, and finally review the most appropriate toilet room and menstrual hygiene technologies. We argue that strategies to make technologies gender-responsive need to be based upon a thorough analysis of the social arrangements of the intimate, and how these are negotiated and institutionalized in a specific context. A lack of robust gender-segregated data on sanitation policies and technologies, along with reductionist framings of gender are to blame for limited progress in verifying the need for, and impact of, gender-responsive sanitation. Technology and policy development and implementation would benefit from gender-considerate interpretations of shame, dignity, safety and status. Further progress could be achieved by improving the translation process between different academic framings of the sanitation crisis. Keywords: appropriate technology; development; gender; menstrual hygiene management (MHM); sanitation

Global Change and Sustainable Development: A Synthesis of Regional Experiences from Research Partnerships

Humankind today is challenged by numerous threats brought about by the speed and scope of global change dynamics. A concerted and informed approach to solutions is needed to face the severity and magnitude of current development problems. Generating shared knowledge is a key to addressing global challenges. This requires developing the ability to cross multiple borders wherever radically different understandings of issues such as health and environmental sanitation, governance and conflict, livelihood options and globalisation, and natural resources and development exist. Global Change and Sustainable Development presents 36 peer-reviewed articles written by interdisciplinary teams of authors who reflected on results of development-oriented research conducted from 2001 to 2008. Scientific activities were – and continue to be – carried out in partnerships involving people and institutions in the global North, South and East, guided by principles of sustainability. The articles seek to inform solutions for mitigating, or adapting to, the negative impacts of global dynamics in the social, political, ecological, institutional and economic spheres.

Predictors of health care professionals' attitudes towards involvement in safety-relevant behaviours

BACKGROUND Patients can make valuable contributions towards promoting the safety of their health care. Health care professionals (HCPs) could play an important role in encouraging patient involvement in safety-relevant behaviours. However, to date factors that determine HCPs' attitudes towards patient participation in this area remain largely unexplored. OBJECTIVE To investigate predictors of HCPs' attitudes towards patient involvement in safety-relevant behaviours. DESIGN A 22-item cross-sectional fractional factorial survey that assessed HCPs' attitudes towards patient involvement in relation to two error scenarios relating to hand hygiene and medication safety. SETTING Four hospitals in London PARTICIPANTS   Two hundred sixteen HCPs (116 doctors; 100 nurses) aged between 21 and 60 years (mean: 32): 129 female. OUTCOME MEASURES Approval of patient's behaviour, HCP response to the patient, anticipated effects on the patient-HCP relationship, support for being asked as a HCP, affective rating response to the vignettes. RESULTS HCPs elicited more favourable attitudes towards patients intervening about a medication error than about hand sanitation. Across vignettes and error scenarios, the strongest predictors of attitudes were how the patient intervened and how the HCP responded to the patient's behaviour. With regard to HCP characteristics, doctors viewed patients intervening less favourably than nurses. CONCLUSIONS HCPs perceive patients intervening about a potential error less favourably if the patient's behaviour is confrontational in nature or if the HCP responds to the patient intervening in a discouraging manner. In particular, if a HCP responds negatively to the patient (irrespective of whether an error actually occurred), this is perceived as having negative effects on the HCP-patient relationship.

Molecular epidemiology of Mycoplasma hyopneumoniae from outbreaks of enzootic pneumonia in domestic pig and the role of wild boar.

Mycoplasma hyopneumoniae is the major cause of enzootic pneumonia (EP) in domestic pigs, a disease with low mortality but high morbidity, having a great economic impact for producers. In Switzerland EP has been successfully eradicated, however, sporadic outbreaks are observed with no obvious source. Besides the possibility of recurrent outbreaks due to persisting M. hyopneumoniae strains within the pig population, there is suspicion that wild boars might introduce M. hyopneumoniae into swine herds. To elucidate possible links between domestic pig and wild boar, epidemiological investigations of recent EP outbreaks were initiated and lung samples of pig and wild boar were tested for the presence of specific genotypes by multilocus sequence typing (MLST). Despite generally different genotypes in wild boar, outbreak strains could be found in geographically linked wild boar lungs after, but so far not before the outbreak. Recurrent outbreaks in a farm were due to the same strain, indicating unsuccessful sanitation rather than reintroduction by wild boar. In another case outbreaks in six different farms were caused by the same strain never found in wild boar, confirming spread between farms due to hypothesized animal transport. Results indicate the presence of identical lineages of wild boar and domestic pig strains, and possible transmission of M. hyopneumoniae between wild boar and pig. However, the role of wild boar might be rather one as a recipient than a transmitter. More important than contact to wild boar for sporadic outbreaks in Switzerland is apparently persistence of M. hyopneumoniae within a farm as well as transmission between farms.

Socio-economic atlas of Kenya: Depicting the national population census by county and sub-location

The Socio-Economic Atlas of Kenya is the first of its kind to offer high-resolution spatial depictions and analyses of data collected in the 2009 Kenya Population and Housing Census . The combination of geographic and socio-eco - nomic data enables policymakers at all levels, development experts, and other interested readers to gain a spatial understanding of dynamics affecting Kenya. Where is the informal economic sector most prominent? Which areas have adequate water and sanitation? Where is population growth being slowed effectively? How do education levels vary throughout the country? And where are poverty rates lowest? Answers to questions such as these, grouped into seven broad themes, are visually illustrated on high-resolution maps. By supplying precise information at the sub-location level and summarizing it at the county level, the atlas facilitates better planning that accounts for local contexts and needs. It is a valuable decision-support tool for government institutions at different administrative levels, educational institutions, and others. Three organizations – two in Kenya and one in Switzerland – worked together to create the atlas: the Kenya National Bureau of Statistics (KNBS), the Nanyuki-based Centre for Training and Integrated Research in ASAL Development (CETRAD), and the Centre for Development and Environment (CDE) at the University of Bern. Close cooperation between KNBS, CETRAD, and CDE maximized synergies and knowledge exchange.

Classifying and mapping the urban transition in Vietnam

The urban transition almost always involves wrenching social adjustment as small agricultural communities are forced to adjust rapidly to industrial ways of life. Large-scale in-migration of young people, usually from poor regions, creates enormous demand and expectations for community and social services. One immediate problem planners face in approaching this challenge is how to define, differentiate, and map what is rural, urban, and transitional (i.e., peri-urban). This project established an urban classification for Vietnam by using national census and remote sensing data to identify and map the smallest administrative units for which data are collected as rural, peri-urban, urban, or urban core. We used both natural and human factors in the quantitative model: income from agriculture, land under agriculture and forests, houses with modern sanitation, and the Normalized Difference Vegetation Index. Model results suggest that in 2006, 71% of Vietnam's 10,891 communes were rural, 18% peri-urban, 3% urban, and 4% urban core. Of the communes our model classified as peri-urban, 61% were classified by the Vietnamese government as rural. More than 7% of Vietnam's land area can be classified as peri-urban and approximately 13% of its population (more than 11 million people) lives in peri-urban areas. We identified and mapped three types of peri-urban places: communes in the periphery of large towns and cities; communes along highways; and communes associated with provincial administration or home to industrial, energy, or natural resources projects (e.g., mining). We validated this classification based on ground observations, analyses of multi-temporal night-time lights data, and an examination of road networks. The model provides a method for rapidly assessing the rural–urban nature of places to assist planners in identifying rural areas undergoing rapid change with accompanying needs for investments in building, sanitation, road infrastructure, and government institutions.

Cognitive Cities: An Application for Nairobi. Text Message Participation of Slum Inhabitants to Improve Sanitary Facilities

Population growth is always increasing, and thus the concept of smart and cognitive cities is becoming more important. Developed countries are aware of and working towards needed changes in city management. However, emerging countries require the optimization of their own city management. This chapter illustrates, based on a use case, how a city in an emerging country can quickly progress using the concept of smart and cognitive cities. Nairobi, the capital of Kenya, is chosen for the test case. More than half of the population of Nairobi lives in slums with poor sanitation, and many slum inhabitants often share a single toilet, so the proper functioning and reliable maintenance of toilets are crucial. For this purpose, an approach for processing text messages based on cognitive computing (using soft computing methods) is introduced. Slum inhabitants can inform the responsible center via text messages in cases when toilets are not functioning properly. Through cognitive computer systems, the responsible center can fix the problem in a quick and efficient way by sending repair workers to the area. Focusing on the slum of Kibera, an easy-to-handle approach for slum inhabitants is presented, which can make the city more efficient, sustainable and resilient (i.e., cognitive).