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Owing to the relatively large sample area (∼2 × 2 cm) and limited imaging fields of view (<150 × 150 μm for CRM when working at 60× magnification), it is challenging to ensure precise sample navigation, reliable relocation of microscopic CRM ROIs for subsequent MSI, and proper alignment of imaged regions for precise spatial registry of the CRM and MSI data.
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The preliminary investigation describes the cluster (e.g. in relation to spatial aggregation within registry area) to facilitate identifying hypotheses for further investigation if appropriate, but does not conclude on or assess causality.
During preliminary investigation of time clusters, the spatial dimensions within the registry area are further investigated, and local registries can run the cluster detection software at subregional level.
The assumption that the ratio of incidence to mortality is constant across all registries is extremely restrictive as there is no allowance for spatial variation across the registries.
For Central Registry analysis, the spatial dimension during the study period was operationalized as registry: which may be a region or the whole country.
Data from such registries can readily be input into spatial and time cluster computer programs for analysis.
52 Residential addresses of TB patients notified to the central registry were geocoded and used to produce spatial density maps to assist management by health care workers in the field, and for use in public health decision-making.
Due to the limited number of historical drinking water samples for volatile organic compounds, the Agency for Toxic Substances and Disease Registry (ATSDR) conducted a historical reconstruction of the spatial and temporal distribution of the contaminants.
This study aimed to: 1) describe the geographical spatial patterns of gastrointestinal tract cancer incidence based on cancer registry data and, 2) determine whether geographical clusters of statistical significance exist.
The present study, based on the French national registry of childhood haematopoietic malignancies, aimed to investigate the spatial and space time distributions of cases of childhood acute leukaemia over the whole territory during the period 1990 2000.
These analyses, unlike many registry-based maps, have the advantage of controlling for spatial confounders, examining the effect of latency, and allowing for hypothesis testing for the significance of location in the disease maps.
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