The first step was to identify the adjacent neighbors of each county by using a geographic information system (GIS, ArcView 3.2, ESRI, Redlands, CA).
We are able to provide some answers by using a unique dataset from Puding county, and taking advantage of program reforms.
To check regional bias introduced by tracing, we compared the number of holdings on the list of traceable holdings against the number in the agricultural survey in each county, by using a scatter plot and calculating their correlation.
The serum samples from healthy adult blood donors aged 18 65 years were obtained from the University Hospital of Ferrara Blood Center, and samples from children and from adults 66 85 years of age were obtained from the Clinical Analysis Laboratory, University Hospital of Ferrara, by using a protocol approved by the local county ethics committee at University of Ferrara.
The adjacent neighbors for each county were determined by using a geographic information system (GIS, ArcView 3.2, ESRI, Redlands, CA).
Expected number of cases per county (e) were calculated by using a validated equation e = (r × n) (c), where r is the state incidence rate, n is the state population, and c is the county population (5, 8).
Thus, by using the county council as a control, we reduced the risk for spill over effect.
Spatial analyses were performed by using county centroid data from a subset of isolates with known county of origin.
The impact of county-level bamboo sector reforms on bamboo contributions to the county economy is examined by using aggregate county data and simple analytical methods.
Nearly identical results were found by using the county maximum PM2.5 values.
