\n"); ?>
|
Our research employs cutting-edge computational methods to advance the science and practice of biosurveillance. We consider all aspects of the biosurveillance process, from underlying infrastructure for collecting and sharing data to the way in which health-related events are detected in individuals and populations. The technology and knowledge created through our research is used to guide the development of surveillance policy, surveillance practice, and the next generation of biosurveillance systems. The projects in the lab focus on developing and validating methods for case and outbreak detection, solving the computational challenges of building and deploying innovative surveillance infrastructure, and evaluating existing surcveillance systems and public health interventions. You can learn more about these projects in the corresponding sub-sections. |
Projects Index: |
", utf8_decode($row[2]));
$funding = "";
if (strlen($row[3])>0) $funding = "The project is funded by " . utf8_decode($row[3]) . ".";
$imgtag = "";
if (strlen($row[7])>0) $imgtag = "\n";
$weblnktag = "";
if (strlen($row[5])>0) $weblnktag = "\tWebsite\n";
$wikilnktag = "";
if (strlen($row[6])>0) $wikilnktag = "\tWiki\n";
$pubstag = "";
if ($row[9]== "t") $pubstag = "\tPublications\n";
?>
=$subtitle?>
=$imgtag?>=$descr?> =$funding?>
People: Edit "); print(utf8_decode($pers[1]) . " " . utf8_decode($pers[2]) . ""); } while ($pers = pg_fetch_row($peoplelist)) { print(", "); print(utf8_decode($pers[1]) . " " . utf8_decode($pers[2]) . ""); } } ?>
=$pubstag?> =$weblnktag?> =$wikilnktag?>