Spatial analysis of food and water-borne diseases in Ahmedabad, India: Implications for urban public health planning.

Spatial analysis of infectious diseases can play an important role in mapping the spread of diseases and can support policy making at local level. Moreover, identification of disease clusters based on local geography and landscape forms the basis for disease control and prevention. Therefore, this study aimed to examine the spatial-temporal variations, hotspot areas, and potential risk factors of infectious diseases (including Viral Hepatitis, Typhoid and Diarrhea) in Ahmedabad city of India. We used Moran's I and Local Indicators of Spatial Association (LISA) mapping to detect spatial clustering of diseases. Spatial and temporal regression analysis was used to identify the association between disease incidence and spatial risk factors. The Moran's I statistics identified presence of positive spatial autocorrelation within the considered diseases, with Moran's I from 0.09 for typhoid to 0.21 for diarrhea (p < 0.001). This indicates a clustering of affected wards for each disease, suggesting that cases were not randomly distributed across the city. LISA mapping demonstrated the clustering of hotspots in central regions of the city, especially towards the east of the river Sabarmati, highlighting key geographical areas with elevated disease risk. The spatial clusters of infectious diseases were consistently associated with slum population density and illiteracy. Furthermore, temporal analysis suggested illiteracy rates could increase risk of viral hepatitis by 13 % (95 % Confidence Interval (CI): 1.01-1.26) and of diarrhea by 18 % (95 % CI: 1.07-1.31). Significant inverse association was also seen between viral hepatitis incidence and the distance of wards from rivers. Conclusively, the study highlight the impact of socio-economic gradients, such as slum population density (indicative of poverty) and illiteracy, on the localized transmission of water and foodborne infections. The evident social stratification between impoverished and affluent households emerges as a notable contributing factor and a potential source of differences in the dynamics of infectious diseases in Ahmedabad.

Strategic Behavior in Certifying Green Buildings: An Inquiry of the Non-building Performance Value.

This study determines the magnitude of the market signaling effect arising from Leadership in Energy and Environmental Design certification for green buildings and explores the mechanisms behind the signaling effect. Previous studies have shown that signaling or marketability plays an important role in the pursuit for Leadership in Energy and Environmental Design and equivalent green-building certification. By analyzing all new construction projects receiving Leadership in Energy and Environmental Design certification from 2000 to 2012 in the US, this study estimates the relative importance of 'green' signaling. This broad perspective using project-level data enables an analysis of some drivers of signaling and the pursuit of marketing benefits. The roles of local competition and market conditions, as well as municipal regulations are examined, especially as they differ between types of building owners (e.g., for-profit firms, governments, nonprofits). The results indicate that the non-building performance value-value captured by Leadership in Energy and Environmental Design signals above and beyond the specific building attributes that Leadership in Energy and Environmental Design certifies-dominates the attainment of Leadership in Energy and Environmental Design scores around certification tier thresholds. Further, strong evidence of spatial clustering of this non-building performance value for some owner types indicates that for-profit owners may be more responsive to local competition than non-profit owners. Local legislative mandates predict greater signaling intensity by government-owned buildings, as expected, but for-profit-owned projects tend to signal less, even after controls for local conditions. The results highlight the importance of local conditions, including peer effects and regulations, in driving non-building performance values across a wide range of green buildings.