Potential Use of Google Earth and Geographical Information System (GIS) Software in a Basic Dengue Decision Support System Framework.

<p>Adapted from a schematic published previously by Lozano-Fuentes et al. (2008) in the <i>Bulletin of the World Health Organization </i><a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0000411#pntd.0000411-LozanoFuentes1" target="_blank">[11]</a>.</p

Distribution of City Blocks with Dengue Cases (Filled) versus City Blocks without Dengue Cases (Unfilled) in 2006 in Chetumal, Quintana Roo, Mexico.

<p>This map was published previously by Lozano-Fuentes et al. (2008) in the <i>Bulletin of the World Health Organization </i><a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0000411#pntd.0000411-LozanoFuentes1" target="_blank">[11]</a>.</p

Editing options for geo entities, universals, and terms from the term tree.

<p>A) Editing options for geo entities. B) Editing options for universals. C) Editing options for term tree terms.</p

Administration functionality to customize system roles and permissions.

<p>A) Create new user. B) Assign role(s) for new user. C) Edit permissions for Administration role.</p

Additional file 2: of Alternative patterns of sex chromosome differentiation in Aedes aegypti (L)

FST frequency distributions. SenAae (PK10) and Aaa (Thai). (PDF 19 kb

Example of term tree structure for Dengue and use of configurable term tree lists in data entry screens.

<p>A) Example of term tree structure. Terms that are active for Dengue are shown in black, those that are inactive for Dengue are shown in gray. B) Using the term tree in data entry screens.</p

Main system menus for Malaria and Dengue.

<p>Main system menus for Malaria and Dengue.</p

Example of pre-defined custom calculations in a query builder.

<p>Query result for Breateau Index for larvae.</p

Locations of <i>Aedes aegypti</i> collections used in the present study.

<p>Locations of <i>Aedes aegypti</i> collections used in the present study.</p

Two models for the evolution of mutations in subunit 6 of domains II and III.

<p>Model 1 proposes that the 1,532 and 1,016 mutations occurred independently and became <i>cis</i> through crossing over. Model 2 instead proposes that 1,532 mutations occur first because 1,016 mutations confer low fitness. Ile1,016 mutations then arise on a Val1,016/Cys1,534 background.</p