Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.
Meta Description: Studies associated with the geography of a disease will naturally tend to cluster in more densely populated areas resulting in a ‘first order effect’ that often results in violation of the assumption of sample independence leading to data redundancy.
Numerous studies focused on the ecological factors involved in mosquito-borne pathogens occurring in humans in urban centers in the United States. However, there is less information available on the ecological factors involved in transmission of these pathogens in humans and animals in non-urban settings. This paper focuses on development of a sampling scheme that minimizes redundancy for testing for WNV in bird and mosquito populations in both urban and rural environments in four Mississippi cites that encompass a wide range of ecological, hydrologic, and social conditions across the state.
The ‘best’ spatial sampling scheme depends on the spatial characteristics of variability in data associated with the phenomena under investigation. Randomly sampled data can exhibit a high degree of spatial autocorrelation when samples are drawn from nearby locations. Studies associated with the geography of a disease will naturally tend to cluster in more densely populated areas resulting in a ‘first order effect’ that often results in violation of the assumption of sample independence leading to data redundancy. Redundancy can be reduced through identification of spatial strata that minimize within-strata sample variance and maximize among-strata variance.
For more information:
Spanish 
Chinese 
Russian 
German 
French 
Japanese 
Portuguese 
Hindi