scholarly journals Mapping to Support Fine Scale Epidemiological Cholera Investigations: A Case Study of Spatial Video in Haiti

2016 ◽  
Vol 13 (2) ◽  
pp. 187 ◽  
Author(s):  
Andrew Curtis ◽  
Jason Blackburn ◽  
Sarah Smiley ◽  
Minmin Yen ◽  
Andrew Camilli ◽  
...  
Keyword(s):  
Fine Scale ◽  
Spatial Video

scholarly journals Merging Taxonomy with Ecological Population Prediction in a Case Study of Vibrionaceae

2011 ◽  
Vol 77 (20) ◽  
pp. 7195-7206 ◽  
Author(s):  
Sarah P. Preheim ◽  
Sonia Timberlake ◽  
Martin F. Polz
Keyword(s):  
Population Structure ◽  
Sequence Analysis ◽  
Dynamic Model ◽  
Structure Data ◽  
Meta Analysis ◽  
Fine Scale ◽  
Bacterial Populations ◽  
Content Type ◽  
Population Prediction

ABSTRACTWe synthesized population structure data from three studies that assessed the fine-scale distribution ofVibrionaceaeamong temporally and spatially distinct environmental categories in coastal seawater and animals. All studies used a dynamic model (AdaptML) to identify phylogenetically cohesive and ecologically distinct bacterial populations and their predicted habitats without relying on a predefined genetic cutoff or relationships to previously named species. Across the three studies, populations were highly overlapping, displaying similar phylogenetic characteristics (identity and diversity), and were predominantly congruent with taxonomicVibriospecies previously characterized as genotypic clusters by multilocus sequence analysis (MLSA). The environmental fidelity of these populations appears high, with 9 out of 12 reproducibly associating with the same predicted (micro)habitats when similar environmental categories were sampled. Overall, this meta-analysis provides information on the habitat predictability and structure of previously described species, demonstrating that MLSA-based taxonomy can, at least in some cases, serve to approximate ecologically cohesive populations.

scholarly journals AGENT BASED MODELING: FINE-SCALE SPATIO-TEMPORAL ANALYSIS OF PERTUSSIS

2017 ◽  
Vol IV-4/W2 ◽  
pp. 37-46
Author(s):  
D. A. Mills
Keyword(s):  
Asymptomatic Carrier ◽  
Temporal Analysis ◽  
Agent Based Modeling ◽  
Fine Scale ◽  
Individual Agent ◽  
Agent Based ◽  
Asymptomatic Carriers ◽  
Temporal Variables ◽  
Spatio Temporal

In epidemiology, spatial and temporal variables are used to compute vaccination efficacy and effectiveness. The chosen resolution and scale of a spatial or spatio-temporal analysis will affect the results. When calculating vaccination efficacy, for example, a simple environment that offers various ideal outcomes is often modeled using coarse scale data aggregated on an annual basis. In contrast to the inadequacy of this aggregated method, this research uses agent based modeling of fine-scale neighborhood data centered around the interactions of infants in daycare and their families to demonstrate an accurate reflection of vaccination capabilities. Despite being able to prevent major symptoms, recent studies suggest that acellular Pertussis does not prevent the colonization and transmission of Bordetella Pertussis bacteria. After vaccination, a treated individual becomes a potential asymptomatic carrier of the Pertussis bacteria, rather than an immune individual. Agent based modeling enables the measurable depiction of asymptomatic carriers that are otherwise unaccounted for when calculating vaccination efficacy and effectiveness. Using empirical data from a Florida Pertussis outbreak case study, the results of this model demonstrate that asymptomatic carriers bias the calculated vaccination efficacy and reveal a need for reconsidering current methods that are widely used for calculating vaccination efficacy and effectiveness.

Revealing Multiscale Segregation Effects from Fine-Scale Data: A Case Study of Two Communities in Paris

2020 ◽  
Author(s):  
Madalina Olteanu ◽  
Cecile de Bezenac ◽  
William Clark ◽  
Julien Randon-Furling
Keyword(s):  
Fine Scale ◽  
Scale Data

scholarly journals Techniques for measuring high-resolution firn density profiles: case study from Kongsvegen, Svalbard

2008 ◽  
Vol 54 (186) ◽  
pp. 463-468 ◽  
Author(s):  
Robert L. Hawley ◽  
Ola Brandt ◽  
Elizabeth M. Morris ◽  
Jack Kohler ◽  
Andrew P. Shepherd ◽  
...  
Keyword(s):  
High Resolution ◽  
Electrical Properties ◽  
Density Profile ◽  
Large Scale ◽  
Ice Core ◽  
Fine Scale ◽  
Density Profiles ◽  
The Core ◽  
Core Section

AbstractOn an 11 m firn/ice core from Kongsvegen, Svalbard, we have used dielectric profiling (DEP) to measure electrical properties, and digital photography to measure a core optical stratigraphy (COS) profile. We also used a neutron-scattering probe (NP) to measure a density profile in the borehole from which the core was extracted. The NP- and DEP-derived density profiles were similar, showing large-scale (>30 cm) variation in the gravimetric densities of each core section. Fine-scale features (<10 cm) are well characterized by the COS record and are seen at a slightly lower resolution in both the DEP and NP records, which show increasing smoothing. A combination of the density accuracy of NP and the spatial resolution of COS provides a useful method of evaluating the shallow-density profile of a glacier, improving paleoclimate interpretation, mass-balance measurement and interpretation of radar returns.

scholarly journals Modulation of Habitat-Based Conservation Plans by Fishery Opportunity Costs: A New Caledonia Case Study Using Fine-Scale Catch Data

PLoS ONE ◽  
2014 ◽  
Vol 9 (5) ◽  
pp. e97409 ◽  
Author(s):  
Marilyn Deas ◽  
Serge Andréfouët ◽  
Marc Léopold ◽  
Nicolas Guillemot
Keyword(s):  
New Caledonia ◽  
Opportunity Costs ◽  
Fine Scale ◽  
Catch Data ◽  
Conservation Plans

Fuzzy logic for fine-scale soil mapping: A case study in Thailand

CATENA ◽  
2020 ◽  
Vol 190 ◽  
pp. 104456
Author(s):  
Ruamporn Moonjun ◽  
Dhruba Pikha Shrestha ◽  
Victor G. Jetten
Keyword(s):  
Fuzzy Logic ◽  
Soil Mapping ◽  
Fine Scale

scholarly journals Creating Small Area Measures of Urban Deprivation

2002 ◽  
Vol 34 (6) ◽  
pp. 1073-1093 ◽  
Author(s):  
Richard J Harris ◽  
Paul A Longley
Keyword(s):  
Environmental Conditions ◽  
Urban Areas ◽  
Small Area ◽  
Economic Conditions ◽  
Fine Scale ◽  
Urban Populations ◽  
Adequate Representation ◽  
Commercial Sources ◽  
Urban Deprivation

In recent years, the scale and pace of urban change have been associated with fine-scale fragmentation of the lifestyles of urban populations. One manifestation of this is that households of diverse means and circumstances may be found living in proximity to one another, particularly in urban areas. In this paper we argue that in these changed circumstances conventional deprivation indicators fail adequately to detect within and between small area variations in socioeconomic and environmental conditions. Using a case study of Bristol, England, we develop an analysis around Gordon and Forrest's Breadline Britain indicator in order to reveal the diversity of economic conditions that exist within wards that might be labelled as either affluent or deprived. We argue that adequate representation of diversity requires a greater sensitivity to difference at fine scales. In this context, we begin to evaluate the claims of marketeers who use commercial sources of data to model incomes at unit postcode and even household scales. We undertake an evaluation of such data and extend their application to calculation of Breadline Britain index scores. The results suggest some potential for using unconventional sources of data to ‘freshen up’ census information and provide direct, meaningful, measures of deprivation.

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