<p>(A) Plot of PC1 (0.7071*Out−degree+0.7071*Premises density) vs. PC2 (0.7071*Out−degree+0.7071*Premises density) for each county. Colored dots represent counties in the upper 20% of simulated epidemic extents with the counties where movement is relatively more important (i.e., PC2 > 0) ranging from green to blue and the counties where density is relatively more important (i.e., PC2 < 0) ranging from yellow to red based on epidemic extent. (B) Map depicting the spatial distribution of the counties within the upper 20% of epidemic extents.</p
(A) Mean percentage effect of each county from the cubic B-spline model. The map was generated using...
<p>Each column shows a different population of introduction characteristic: (A,D) population size (l...
<p>The circle diameter is proportional to the number of isolates sampled in the locality. The low pa...
Principal component (PC) maps, which plot the values of a given PC estimated on the basis of allele ...
<p>Lines represent means and shaded areas 95% confidence intervals. Spatial heterogeneity in transmi...
Disease maps are powerful tools for depicting spatial variations in disease risk and its underlying ...
Principal component (PC) maps, which plot the values of a given PC estimated on the basis of allele ...
<p>Geographical regions having similarity in patterns of spoligotypes tend to clusters together.</p
For each combination of active surveillance method and district of outbreak origin 1,000 simulation ...
<p>(a) Example image (DIP-GFP input = 10) of a plaque maximum intensity projection with concentric r...
<p>The <i>definitive extent</i> of infectious disease occurrence at the national level (red is certa...
<p>Cases were simulated in one to four adjacent census tracts using a fixed time window with increas...
<p>Colour and size of square correlate with a score of entities in space that summarize the genetic ...
<p>The first three panels represent three segments separately (A: HA, B: NA, C: PB2) and D represent...
This thesis addresses three interrelated challenges of disease mapping and contributes a new approac...
(A) Mean percentage effect of each county from the cubic B-spline model. The map was generated using...
<p>Each column shows a different population of introduction characteristic: (A,D) population size (l...
<p>The circle diameter is proportional to the number of isolates sampled in the locality. The low pa...
Principal component (PC) maps, which plot the values of a given PC estimated on the basis of allele ...
<p>Lines represent means and shaded areas 95% confidence intervals. Spatial heterogeneity in transmi...
Disease maps are powerful tools for depicting spatial variations in disease risk and its underlying ...
Principal component (PC) maps, which plot the values of a given PC estimated on the basis of allele ...
<p>Geographical regions having similarity in patterns of spoligotypes tend to clusters together.</p
For each combination of active surveillance method and district of outbreak origin 1,000 simulation ...
<p>(a) Example image (DIP-GFP input = 10) of a plaque maximum intensity projection with concentric r...
<p>The <i>definitive extent</i> of infectious disease occurrence at the national level (red is certa...
<p>Cases were simulated in one to four adjacent census tracts using a fixed time window with increas...
<p>Colour and size of square correlate with a score of entities in space that summarize the genetic ...
<p>The first three panels represent three segments separately (A: HA, B: NA, C: PB2) and D represent...
This thesis addresses three interrelated challenges of disease mapping and contributes a new approac...
(A) Mean percentage effect of each county from the cubic B-spline model. The map was generated using...
<p>Each column shows a different population of introduction characteristic: (A,D) population size (l...
<p>The circle diameter is proportional to the number of isolates sampled in the locality. The low pa...