1 Geospatial access to care, defined as the predicted grou
2 of fatalities attributable to disparities in
geospatial access to care.
3 Geospatial accuracy varied, depending on the scale: More
4 Sensitivity, positive predictive value, and
geospatial accuracy were compared.
5 vestigation into these cases with additional
geospatial analyses and blood and tumor testing is ongoi
6 Using
geospatial analyses and stakeholder interviews, we quant
7 Phylogenetic and
geospatial analyses characterised transmission clusters.
8 Although
geospatial analyses have been used to estimate health-ca
9 Overall,
geospatial analyses offer vital insights, shaping interv
10 Last, results of
geospatial analyses partially validated our hypothesis t
11 Geospatial analyses revealed a median distance between g
12 We use field measurements and
geospatial analyses to characterize carbon dynamics in t
13 We aimed to use
geospatial analyses to overcome such data gaps in Yemen,
14 From
geospatial analyses we estimate that the number of non-d
15 Descriptive and
geospatial analyses were used to identify the psilocybin
16 using field, laboratory, spectroscopic, and
geospatial analyses, we propose that natural pedogenetic
17 y in drinking water quality violations using
geospatial analysis and data analytics.
18 Geospatial analysis assessed patient-level geographic fa
19 This type of spatially explicit
geospatial analysis can be expanded to include other eco
20 ologic care, findings from studies utilizing
geospatial analysis can inform the design and targeting
21 Geospatial analysis determined the extent of the contami
22 Geospatial analysis did not indicate that OPS was associ
23 Geographic information and
geospatial analysis enable researchers to investigate th
24 an integrated approach of remote sensing and
geospatial analysis for detecting CRC and monitoring its
25 Secondary
geospatial analysis further revealed that the proportion
26 The findings from this nationwide
geospatial analysis identifying racial/ethnic inequaliti
27 Population-based
geospatial analysis in the US was used in this study.
28 States excluding Washington, DC, conducted a
geospatial analysis of 2020 treatment location data.
29 In
geospatial analysis of 85 populations, a genetic risk sc
30 Here, we present a fine-scale
geospatial analysis of EBF prevalence and trends in 49 A
31 Here we present a
geospatial analysis of EBF prevalence estimates from 200
32 this field-based study with a Tasmanian-wide
geospatial analysis of fire-killed and unburned populati
33 A
geospatial analysis of hospital proximity was performed,
34 A large-scale
geospatial analysis of more than 4500 gold objects from
35 ants (WWTPs), and to date, there has been no
geospatial analysis of the feasibility of collocating la
36 Here, we present a
geospatial analysis of the techno-economic performance o
37 erability to legacy nutrients may be made by
geospatial analysis of watersheds with high nitrogen inp
38 A
geospatial analysis reveals no effects on quality of dom
39 Finally, our
geospatial analysis reveals substantial differences betw
40 Our
geospatial analysis suggests that the increasing rates o
41 also highlights the practical application of
geospatial analysis through instances drawn from the der
42 Both MCDM and PPCA have been tied into
geospatial analysis to assess the natural hazard vulnera
43 an integrated approach of remote sensing and
geospatial analysis to detect CRC and monitor the effect
44 Real-time
geospatial analysis to identify vaccination gaps is crit
45 January 2010, we piloted the application of
geospatial analysis to polio supplementary immunization
46 opulation relative to hospital location, and
geospatial analysis tools were used to examine a service
47 Geospatial analysis was conducted with spatial scan stat
48 A
geospatial analysis was performed of access by pediatric
49 esults of more extensive analyses, including
geospatial analysis, are currently being conducted and w
50 tential using big data, machine learning and
geospatial analysis.
51 addressing the last problem, we developed a
geospatial-
analysis tool, GeoNet, that analyzes stream n
52 tial epidemiologists have developed numerous
geospatial analytical tools to collect, process, visuali
53 ets, site-specific PV generation models, and
geospatial analytical tools.
54 and may reduce uncertainties found in both,
geospatial and Earth System Models.
55 hools to the immediate shoreline was a major
geospatial and epidemiological determinant.
56 Here we present a
geospatial and geostatistical modeling framework for con
57 Our integrated
geospatial and IgE hypothesis provides a new perspective
58 We combined
geospatial and molecular sequence data from two public a
59 Therefore, we combined
geospatial and physiological data of T. erytreae to pred
60 ly, there have been increased efforts to use
geospatial and small area methods to estimate subnationa
61 Chl) observations from the Lake Multi-Scaled
Geospatial and Temporal Database of the Northeast U.S. (
62 The new approach of
GeoSpatial and Temporal Mapping of Urban Mobility (GeoST
63 r simulating ridesourcing services with high
geospatial and temporal resolution.
64 Here, we couple climate,
geospatial,
and province-level census data, with farmer
65 This
geospatial approach can be used to define a protocol for
66 Our socio-ecological gap analysis presents a
geospatial approach to inform decision-making and resour
67 ility to tsunami hazards that integrates (i)
geospatial approaches to identify the number and charact
68 Our results provide first high-resolution
geospatial assessment of permafrost region SOC stocks an
69 n the MGBB by employing population genetics,
geospatial assessment, and association analyses of rare
70 The
geospatial-
assisted multi-influencing factor approach he
71 from 2011 to 2015, and there was evidence of
geospatial autocorrelation (p < 0.001).
72 Using
geospatial autocorrelation methods, we defined county-le
73 Geospatial barriers delay diagnosis and treatment, but t
74 Geospatial barriers reduce survival of patients with bre
75 ore the complex interplay between social and
geospatial behavior, documenting how the formation of co
76 This paper expands on the
Geospatial Bioenergy Systems Model (GBSM) to evaluate th
77 enting five life stages, to evaluate whether
geospatial,
climate, and measured plot covariates predic
78 We used
geospatial cluster analyses to identify areas of higher
79 Applying
geospatial cluster analysis and 80th-100th percentile me
80 In this cross-sectional study examining
geospatial clusters of late-stage cervical cancer diagno
81 Geospatial clusters provide insight into regional approa
82 No
geospatial clusters were found.
83 nd automated solar-climatic evaluators using
geospatial computational geometry.
84 t spreadsheet that captures the temporal and
geospatial context of each biosample.
85 ring of a subset of published papers yielded
geospatial coordinates and collection years for only 33%
86 We derived
geospatial coordinates, functionality, and service avail
87 rces to ascertain seasonality, function, and
geospatial coordinates.
88 Models using only age group and
geospatial covariates had similar performance (women: AU
89 emographic and sexual behavior measures, and
geospatial covariates included community HIV prevalence
90 provide a semiobservational record, complete
geospatial coverage, and increasingly high spatial resol
91 DESIGN, SETTING, AND PARTICIPANTS: This
geospatial cross-sectional analysis across all US counti
92 DESIGN, SETTING, AND PARTICIPANTS: This
geospatial cross-sectional study used county-level data
93 DESIGN, SETTING, AND PARTICIPANTS: This
geospatial cross-sectional study used data from the Surv
94 Materials and Methods This retrospective,
geospatial,
cross-sectional study conducted from March 2
95 Here, using multi-source heterogeneous
geospatial data and machine learning regression, we iden
96 Using high-resolution
geospatial data and modeling, we construct probabilistic
97 commentary are to (1) provide an overview of
geospatial data and resources available to researchers t
98 Despite the extensive collection of
geospatial data and satellite images, existing physics-b
99 Geospatial data are also useful in analyzing systemic op
100 hes and demonstrating how globally available
geospatial data can be leveraged to fill data gaps and i
101 sewer infrastructure, but also suggest that
geospatial data can be used to predict areas vulnerable
102 of contiguous households and indicated that
geospatial data can improve microplanning and provide ne
103 Geospatial data describing the energy system are require
104 =65 years in Philadelphia, Pennsylvania, and
geospatial data from the Esri Business Analyst database
105 Through
geospatial data fusion, we are able to combine very fine
106 nges and future opportunities for the use of
geospatial data in asthma-related research and birth coh
107 in birth cohorts, (3) demonstrate the use of
geospatial data in asthma-related research, and (4) high
108 , (2) provide a general approach to consider
geospatial data in birth cohorts, (3) demonstrate the us
109 introduce a systematic approach to integrate
geospatial data into external exposome research using aP
110 In this study,
geospatial data on geophysics, remote sensing, and struc
111 Using government statistics and
geospatial data on natural gas use, we find the average
112 es is needed to develop and implement useful
geospatial data products that will support global effort
113 The
Geospatial Data Quality API is part of the VertNet set o
114 out septic infrastructure may be able to use
geospatial data that they do have to predict the parcel-
115 The application of
geospatial data to public health problems has expanded s
116 By integrating
geospatial data with a computational simulation of a rea
117 ogical basis, relies on nationally available
geospatial data, and mines existing biological datasets.
118 insights from the ever-increasing stream of
geospatial data, but current approaches may not be optim
119 predicted from electronic health records and
geospatial data, but it is unknown if prediction could b
120 Geospatial data, including land cover and distances to k
121 Using
geospatial data, LRiMM quantifies financial responsibili
122 ship between mineral deposit occurrences and
geospatial data, while data integration was implemented
123 clinic using electronic medical records and
geospatial data.
124 ature time series submissions to SoilTemp, a
geospatial database initiative compiling soil and near-s
125 g a transparent, comprehensive, and accurate
geospatial database of oil and gas infrastructure.
126 A
geospatial database was constructed to delineate surface
127 regular residence to health facilities in a
geospatial database.
128 EHR and
geospatial databases were used to generate an extensive
129 ere drawn from electronic health records and
geospatial databases.
130 addresses from the 2008 Boston Youth Survey
Geospatial Dataset (n = 1,292).
131 The used
geospatial dataset consists of fourteen conditioning fac
132 We test these hypotheses with a large
geospatial dataset encompassing 795 municipalities acros
133 the Xpert MTB-RIF test with openly available
geospatial datasets from OpenStreetMap and WorldPop.
134 Geospatial datasets on possible influencing factors are
135 Here we combine national-scale
geospatial datasets with hydrologic simulations to compu
136 Geospatial density (ie, heat) maps highlight regional pe
137 sense target chemicals for environmental and
geospatial detection.
138 Geospatial diffusion (ie, viral gene flow) was evaluated
139 e used to evaluate transmission hotspots and
geospatial diffusion of the virus.
140 Here, we utilize the
geospatial dimension of the stratigraphic record provide
141 s of this cross-sectional study suggest that
geospatial disadvantage is associated with DLE disease s
142 The combination of
geospatial disease prevalence maps of LF with transmissi
143 and aging at local areas contributed to the
geospatial disparities in the coronavirus disease 2019 (
144 Geospatial dispersal was determined by calculating the a
145 d by local factors (soil and vegetation) and
geospatial distance (11.5% and 11.9% respectively), whil
146 e that of the abundant was more explained by
geospatial distance (22.1%) than local factors (11.3%).
147 Sao Paulo and Google maps, we estimated the
geospatial distance travelled by patients with cancer fr
148 elative impacts of environmental factors and
geospatial distances on genetic differentiation in S. ca
149 en to estimate the population prevalence and
geospatial distribution of HIV, active and lifetime tube
150 The
geospatial distribution of risk alleles is highly sugges
151 pidemics, they struggle to fully capture the
geospatial dynamics and factors driving the dispersal of
152 om forest machine-learning model based on 11
geospatial environmental parameters and more than 50,000
153 DESIGN, SETTING, AND PARTICIPANTS: This
geospatial epidemiological population-based cross-sectio
154 Geospatial epidemiology was used to define ecological as
155 For the most recent survey, we produced
geospatial estimates identifying the prevalence of zero-
156 Here we map annual 2000-2018
geospatial estimates of anemia prevalence in women of re
157 dynamic transmission model that incorporates
geospatial estimates of routine measles vaccination cove
158 Our easy-to-access
geospatial estimates of survey data quality highlight th
159 Frequent spillovers and recent
geospatial expansion of avian influenza virus (AIV) pose
160 The contributions of
geospatial factors and HIV risk group to the local dynam
161 The contribution of
geospatial factors and HIV risk group to the local dynam
162 However, the role of
geospatial factors remains understudied.
163 Therefore, understanding
geospatial factors that influence MDR bacterial contamin
164 All examined
geospatial factors were associated with MDR bacteria mea
165 lay across genetics, immigration, structural
geospatial factors, and health outcomes in one of the ea
166 However, the potential
geospatial feedback of soil mercury levels in response t
167 of SOM as a new tool in paleoclimatology or
geospatial forensics.
168 ent parameters, spanning multiple layers and
geospatial frames, affected by complex dynamic processes
169 onomic and state-policy factors in a unified
geospatial framework, we analyzed the spatial incidence
170 l profiles with environmental variables in a
geospatial framework, we generated spatially explicit es
171 By integrating the
geospatial fuel and emission model, AviTeam, with LCA, w
172 Geospatial hot spot analysis revealed that Kurar kebele
173 We used nationally representative,
geospatial,
household data from Demographic and Health S
174 019 American Community Survey were linked to
geospatial imagery retrieved between May and July 2024 f
175 g AI-derived built environment features from
geospatial imagery was associated with enhanced ability
176 he marked undercount of food outlets and the
geospatial inaccuracies observed have the potential to i
177 The demand-based approach reduced
geospatial inequality in OOD rates in all scenarios comp
178 Using
geospatial information from 39,785 IAV strains, we exami
179 exponentially rising, generating a wealth of
geospatial information on fishing vessels.
180 GROWdb analyses coupled to extensive
geospatial information reveals local and regional driver
181 rom sub-Saharan Africa, linked with detailed
geospatial information, further show that women who own
182 ng studies rely on decade-old facility-scale
geospatial information.
183 The importance of this
geospatial innovation is demonstrated with newly acquire
184 tics on data sets compiled from the National
Geospatial-
Intelligence Agency and the National Aeronaut
185 Here, we investigated the
geospatial interplay between WRRFs and H(2) users in a c
186 nt-wide process models were used to create a
geospatial inventory of recovery potential for centraliz
187 sing, resulting in a complete "well-to-wake"
geospatial inventory.
188 onym resolution is possible by improving the
geospatial location detection.
189 In addition to LEMT, new tools such as
geospatial mapping and phylogenetic analysis might help
190 > 80% precision and recall on average in the
geospatial mapping of grids.
191 More fine-scale
geospatial mapping of key populations,-such as sex worke
192 Geospatial mapping showed that the overall prevalence of
193 Applying
geospatial mapping techniques, we developed a multi-para
194 Here, we use
geospatial mapping to enumerate the percentage of a nati
195 This work uses Monte Carlo simulations and
geospatial mapping to integrate material and system para
196 Geospatial mapping was used to identify the population l
197 etween GPRS and GPRS+SMS periods and created
geospatial maps to graphically demonstrate patterns of c
198 oordinates recorded and were included in the
geospatial maps.
199 databases such as GenBank and examining the
geospatial metadata in the record.
200 ul resource to phylogeographers that rely on
geospatial metadata of GenBank sequences.
201 Geospatial methods using mathematical optimization to id
202 Geospatial methods were applied, and we identified hot s
203 Geospatial methods, such as GIS and remote sensing, map
204 he groundwater methane level and various UOG
geospatial metrics, including proximity to UOG wells and
205 scale deployment faces challenges due to the
geospatial misalignment between biomass resources and so
206 es of the participants using a 3-dimensional
geospatial model (NISMap).
207 , we developed an integrated high-resolution
geospatial model and network analysis that simulates and
208 Using a
geospatial model created for optimizing VL utilization i
209 The
geospatial model identified EVOOs from four distinct are
210 ne lifetime residence, which was linked to a
geospatial model of arsenic concentrations in drinking w
211 A
geospatial model of delta(18)O and delta(13)C was develo
212 elop the Compost Allocation Network (CAN), a
geospatial model that simulates the production and trans
213 We built a data-based
geospatial model that we used to estimate the minimum tr
214 The adjusted
geospatial model with the 12 environmental controllers s
215 d sampling strategy using predictions from a
geospatial model, combining random forests and geostatis
216 int-prevalence surveys in combination with a
geospatial model.
217 Many
geospatial modeling approaches, however, are not designe
218 Geospatial modeling can help deliver vaccines effectivel
219 While
geospatial modeling offers an opportunity to predict the
220 Geospatial modeling revealed that water depth, wave powe
221 Geospatial modeling techniques were employed to determin
222 We used stable H and C isotopes and
geospatial modeling to estimate the natal origin of mona
223 We used airborne imaging spectroscopy and
geospatial modeling to generate, to our knowledge, the f
224 cycle assessment, techno-economic analysis,
geospatial modeling, and evolutionary optimization frame
225 We use national census data, ArcGIS
geospatial modeling, and statistical analysis to determi
226 rt, in Sabadell, Spain, using biomonitoring,
geospatial modeling, remote sensors, and questionnaires.
227 Here we use
geospatial modelling and optimization techniques to comp
228 Geospatial modelling approaches which utilise bespoke mi
229 le social network analysis with fine-grained
geospatial modelling of prehistoric human mobility in Ti
230 Using data-based
geospatial modelling, we investigated whether these two
231 r 60% of the high incidence areas when using
geospatial models but only 13% using models with only in
232 Geospatial models can provide highly detailed estimates
233 Geospatial models may help guide HIV prevention efforts
234 Geospatial models more accurately identified high incide
235 erinary practices from 115 countries and use
geospatial models to map their global distribution at 10
236 Geospatial models with no individual measures other than
237 These data informed Bayesian
geospatial models, which produced fine-scale predictions
238 auma center for each person shot, derived by
geospatial network analysis.
239 Using this information, we created a
geospatial network model to deduce the travel time of Ye
240 tes use the internet and/or smartphone-based
geospatial networking apps to find sex partners.
241 US use the internet and/or smartphone-based
geospatial networking apps to find sex partners.
242 e is known about the actual distribution and
geospatial P contributions of DGs as animal feed.
243 es to examine relationships between FDOM and
geospatial parameters.
244 py traits revealed functional variation in a
geospatial pattern explained by geology, topography, hyd
245 future public health efforts, we analyze the
geospatial pattern of measles transmission across China
246 iversity from space through remotely sensing
geospatial patterns has high potential to add to our kno
247 ibility data for 207 isolates, we report the
geospatial patterns of drug resistant TB, particularly t
248 However, the extent to which
geospatial patterns of isotope ratios in avian tissues a
249 flecting higher vector indices and following
geospatial patterns of West Nile virus in prior years.
250 ak occurrence and duration, and seasonal and
geospatial patterns.
251 In the post-hoc analysis, we identified
geospatial proximity of overdose in nearby counties, opi
252 subclones with diverse oncogenomic status in
geospatial proximity to vasculature.
253 We present a REST web service to assess the
geospatial quality of primary biodiversity data.
254 scale in complex systems with an approximate
geospatial range of 3 mum in these samples.
255 We aimed to examine the
geospatial relationships of perceived HIV stigma and HIV
256 onatal mortality rates at multiple levels of
geospatial resolution over time, this study provides key
257 levels 1 and 2-to provide the full range of
geospatial resolution that local, national, and global d
258 tudy we introduce the concept of a universal
geospatial risk phenotype of individual US counties faci
259 Testing this algorithm exemplary on
geospatial satellite image data sets reveals how symmetr
260 We used
geospatial scan statistics, SaTScan, version 9.4, to ana
261 Using
geospatial science as an example, this paper illustrates
262 is widely being used by the researchers and
geospatial scientists due to its free data access for la
263 The objective of this study was to develop
geospatial sepsis clusters, identify sources of variatio
264 the U.S. or territories were recruited from
geospatial social networking applications between Octobe
265 maps were received from WWTPs, geolocated in
geospatial software and overlaid with the smallest area
266 water sources were mapped using open-source
geospatial software.
267 We used a
geospatial sound model to estimate census block group-le
268 during- and post-disturbance data across the
geospatial spectrum.
269 rstanding of local transmission dynamics and
geospatial spread.
270 idity, illustrating the potential utility of
geospatial statistical models for health facility data.
271 hylogenetic community analyses (UniFrac) and
geospatial statistics (semivariograms, mantel tests), we
272 tem provides an integrated investigative and
geospatial surveillance system connecting pathogens, pat
273 These results indicate that
geospatial techniques and molecular gut content analysis
274 t, and they provide proof of concept for how
geospatial techniques can be used to address data gaps a
275 Geospatial technologies enable past cultural activities
276 Geospatial technology approaches that integrate statisti
277 mechanistically informed models, and hourly
geospatial temperature data.
278 Our findings provide
geospatial tools for policymakers to prioritize surveill
279 g tool that remains valuable in tracking the
geospatial transmission dynamics of CDI.
280 The aim of this study was to forecast
geospatial trends of modifiable cardiovascular risk fact
281 Geospatial trends were evaluated using global and local
282 kes, and open oceans to examine temporal and
geospatial trends.
283 ertain birth outcomes and a novel, validated
geospatial UFP dispersion model approach to estimate in
284 Collectively, immune
geospatial variability elucidates tumor ecological const
285 es that changed, we found differences in the
geospatial variables that were most related to the obser
286 r over 4000 OTU that leverage easy-to-obtain
geospatial variables which are linked to measured sedime
287 ort study, there was substantial unexplained
geospatial variation in initial breast cancer care.
288 In this study, we describe the
geospatial variation in the incidence of multiple sclero
289 Here, we use
geospatial variation in the oxygen and strontium isotope
290 ure requires control of dissolved oxygen, as
geospatial variation in the partial pressure of O(2) alo
291 nd cover types to seek insight into the full
geospatial variation of deep soil nitrate.
292 efforts should focus on reducing unwarranted
geospatial variation, especially including optimizing th
293 ed distinct temporal trends as well as major
geospatial variation.
294 patients, evolving patterns and substantial
geospatial variation.
295 ooks, observer datasets, and high-resolution
geospatial vessel tracking technologies.
296 Geospatial viral dispersal between San Diego communities
297 Geospatial viral dispersal between San Diego communities
298 We used phylogeography to reconstruct the
geospatial viral migration patterns in 8 FCs and 2 GP co
299 ent dashboard offers real-time analytics and
geospatial visualization capabilities.
300 Geospatial visualization tools assist in the evaluation