We developed a method to identify potential astro-tourism sites by considering parameters characteristically relevant to astronomical observation such as air quality, dark sky quality, annual average cloud coverage, as well as terrain feature. Applying this method on Indonesia by perusing data from Geographic Information System and applying Multi Criteria Decision Analysis we identify a number of potential astro-tourism sites. We cross correlate this with Indonesia Tourist Destination to produce a list of recommended sites. Fulfilling the astrotourism criteria is one sure way towards sustainable tourism.

We performed a spatial-temporal analysis to assess household risk factors for Ebola virus disease (Ebola) in a remote, severely-affected village. We defined a household as a family's shared living space and a case-household as a household with at least one resident who became a suspect, probable, or confirmed Ebola case from 1 August 2014 to 10 October 2014. We used Geographic Information System (GIS) software to calculate inter-household distances, performed space-time cluster analyses, and developed Generalized Estimating Equations (GEE). Village X consisted of 64 households; 42% of households became case-households over the observation period. Two significant space-time clusters occurred among households in the village; temporal effects outweighed spatial effects. GEE demonstrated that the odds of becoming a case-household increased by 4·0% for each additional person per household (P < 0·02) and 2·6% per day (P < 0·07). An increasing number of persons per household, and to a lesser extent, the passage of time after onset of the outbreak were risk factors for household Ebola acquisition, emphasizing the importance of prompt public health interventions that prioritize the most populated households. Using GIS with GEE can reveal complex spatial-temporal risk factors, which can inform prioritization of response activities in future outbreaks.

This study aimed to assess the prevalence and spatial distribution of bovine cysticercosis in the state of Goiás, Brazil; to verify its association with epidemiological variables, and to establish the economical losses for beef farms. A set of 23 255 979 bovines from 246 municipalities were slaughtered from 2007 through 2014. The prevalence of bovine cysticercosis was 0·53% [95% confidence interval (95% CI) 0·5295–0·5354]. The Central mesoregion showed a higher risk [odds ratio (OR) = 4·44; 95% CI 4·2936–4·5895] for detecting infected animals with cysticerci compared with those raised at North and Northeast mesoregion (OR = 1·02 and OR = 1·02). The microregion of Goiânia had a higher risk for bovine cysticercosis occurrence (OR = 11·05, 95% CI 10·6933–11·4099) compared with the microregion of São Miguel do Araguaia (OR = 1). None of the epidemiological variables evaluated in this study was significantly associated (P > 0·05) with bovine cysticercosis prevalence.

In conclusion, the prevalence of bovine cysticercosis in the state of Goiás, Brazil, was 0·53% and some mesoregions and microregions presented a higher risk for its occurrence. The economical losses due to its occurrence during the period ranged from US$9 260 728·57 to 11 313 816·67. These results highlighted the needs of adopting prophylactic measures and the development of political strategies in specific regions in order to control this zoonose and reduce the economical losses for beef production chain and the costs for public health.

Zoonotic cutaneous leishmaniasis (ZCL) constitutes a serious public health problem in many parts of the world including Iran. This study was carried out to assess the risk of the disease in an endemic province by developing spatial environmentally based models in yearly intervals. To fill the gap of underestimated true burden of ZCL and short study period, analytical hierarchy process (AHP) and fuzzy AHP decision-making methods were used to determine the ZCL risk zones in a Geographic Information System platform. Generated risk maps showed that high-risk areas were predominantly located at the northern and northeastern parts in each of the three study years. Comparison of the generated risk maps with geocoded ZCL cases at the village level demonstrated that in both methods more than 90%, 70% and 80% of the cases occurred in high and very high risk areas for the years 2010, 2011, and 2012, respectively. Moreover, comparison of the risk categories with spatially averaged normalized difference vegetation index (NDVI) images and a digital elevation model of the study region indicated persistent strong negative relationships between these environmental variables and ZCL risk degrees. These findings identified more susceptible areas of ZCL and will help the monitoring of this zoonosis to be more targeted.

The numerous benefits associated with localized food production have helped increase its popularity among a diverse cross-section of concerned citizens over the past few decades. Quantitative benefits are often attributed to local food systems, such as improvements to local economies or environmental benefits associated with decreased food transportation distances. Qualitative benefits play an equally vital role in the increasing popularity of local foods. The direct connection between people and agricultural land instills a sense of responsibility among consumers, there is a great deal of pride associated with creating a self-sustaining community, and increasing locally derived nutritional produce in our diet can improve health. This research attempts to analyze the feasibility of supplying the nutritional needs for an 11-county region in Southeastern Minnesota entirely from locally grown foods. The study also evaluates an alternative land-use scenario to illustrate how better utilizing land resources can yield environmental benefits in addition to those already inherent with local food production. Potential foodsheds are mapped to represent the theoretical spatial extent of agricultural resources needed to sustain population within the region. The foodshed model finds optimum locations for growing local food based on production potential and availability of agricultural resources to meet the demands of population centers, while minimizing the total distance to transport local foods to nearby distribution centers. Results show that it is theoretically feasible for Southeastern Minnesota to be entirely sustained on local food production. The average distance a unit of food travels in this theoretical baseline scenario is just under 12 km (7.5 miles). The foodshed model produces a surplus of agricultural supply in the region, thus an alternative land-use scenario was explored that involves removing marginal cropland from cultivation in vulnerable landscapes with high ecological value in an attempt to further increase the environmental benefits of locally grown foods. In comparison with the baseline foodshed model, the alternative land-use foodshed converts 68,000 ha (168,000 acres) of marginal cropland on vulnerable landscapes from annually cultivated land to perennial agriculture. This conversion not only reduces total distance traveled by a unit of food from 11.8 km (7.3 miles) in the baseline scenario to 10.8 km (6.7 miles) in the alternative scenario, but also reduces soil degradation, has positive impacts on surface water quality, and may lead to better wildlife habitat. The multiple benefits demonstrated by this study are encouraging to leaders of the local food movement in Southeastern Minnesota. Results of the study demonstrate that the methodology developed for mapping New York state foodsheds is adaptable to the Midwestern US, and should also be adaptable in other regions of the country.

Stream restoration is an important process affecting the ecological health of stream ecosystems. There have been numerous cases of restoration, dealing with either structural or biological changes. In Korea, most restoration projects have merely dealt with improving hydrological characteristics or water quality; however, in recent years the improvement of ecological characteristics has been an increasing focus for restoration projects. In this study, we utilized data collected from 5675 stream sites in May 2007 to discover general patterns of anthropogenic modification in Korean streams. The survey results after application of the stream modification index (SMI; presence or absence type; high scores indicate more disturbed) provided a general distribution of disturbed/undisturbed streams or rivers in the watershed. We then compared the level of modification with the socio-geographical patterns (population, land coverage, elevation, and slope) for the watershed. The results show that streams in highly populated areas suffered from human modification compared with other well-preserved stream sites. In metropolitan cities, urbanized areas had positive relationship as identified by a high SMI. On the other hand, agricultural land cover identified an SMI increase for lowland river area. In general, mountainous streams possessed a better status in stream morphology due to different land-cover patterns (i.e., mainly forested area); however, some mountainous areas were impacted by concentrated summer rainfall. We could distinguish the forcing variables (i.e., land use pattern) for the disturbed streams through a comparison between the SMI and geographical information; the SMI application was able to identify areas of high necessity for restoration.