From rkelly2@attglobal.net Wed May 10 07:00:10 2000 Received: from mxu2.u.washington.edu (mxu2.u.washington.edu [140.142.32.9]) by lists.u.washington.edu (8.9.3+UW00.05/8.9.3+UW99.09) with ESMTP id HAA22306 for ; Wed, 10 May 2000 07:00:09 -0700 Received: from prserv.net (out5.prserv.net [32.97.166.35]) by mxu2.u.washington.edu (8.9.3+UW00.02/8.9.3+UW99.09) with ESMTP id HAA13153 for ; Wed, 10 May 2000 07:00:08 -0700 Received: from oemcomputer.attglobal.net ([32.101.77.129]) by prserv.net (out5) with SMTP id <20000510135937243031r8u7e>; Wed, 10 May 2000 13:59:38 +0000 Message-Id: <4.3.1.2.20000510095900.00b2d2c0@mail.jhsph.edu> X-Sender: rkelly2@pop1.ibm.net X-Mailer: QUALCOMM Windows Eudora Version 4.3.1 Date: Wed, 10 May 2000 09:59:09 -0400 To: waphgis@u.washington.edu From: Robert Kelly Subject: Re: Journal for GIS application on dengue control Mime-Version: 1.0 Content-Type: multipart/alternative; boundary="=====================_1378702==_.ALT" --=====================_1378702==_.ALT Content-Type: text/plain; charset="us-ascii"; format=flowed Morrison AC, Getis A, Santiago M, Rigau-Perez JG, Reiter P: Exploratory space-time analysis of reported dengue cases during an outbreak in Florida, Puerto Rico, 1991-1992. Am J Trop Med Hyg 1998, 58:287-298. Keywords: Adolescence/Adult/Aedes/Age Distribution/analysis/Animal/Antibodies,Viral/blood/Child/Databases,Factual/Dengue/Dengue Virus/DISEASE/Disease Outbreaks/epidemiology/Female/geography/Human/immunology/Incidence/Insect Vectors/Male/Maps/physiology/Population Surveillance/Puerto Rico/Retrospective Studies/Seasons/Sex Distribution/Space-Time Clustering/Support,Non-U.S.Gov't/Support,U.S.Gov't,Non-P.H.S./Support,U.S.Gov't,P.H.S./TRANSMISSION/United States Abstract: The spatial and temporal distributions of dengue cases reported during a 1991-1992 outbreak in Florida, Puerto Rico (population = 8,689), were studied by using a Geographic Information System. A total of 377 dengue cases were identified from a laboratory-based dengue surveillance system and georeferenced by their residential addresses on digital zoning and U.S. Geological Survey topographic maps. Weekly case maps were generated for the period between June and December 1991, when 94.2% of the dengue cases were reported. The temporal evolution of the epidemic was rapid, affecting a wide geographic area within seven weeks of the first reported cases of the season. Dengue cases were reported in 217 houses; of these 56 (25.8%) had between two and six reported cases. K-function analysis was used to characterize the spatial clustering patterns for all reported dengue cases (laboratory-positive and indeterminate) and laboratory-positive cases alone, while the Barton and David and Knox tests were used to characterize spatio- temporal attributes of dengue cases reported during the 1991-1992 outbreak. For both sets of data significant case clustering was identified within individual households over short periods of time (three days or less), but in general, the cases had spatial pattern characteristics much like the population pattern as a whole. The rapid temporal and spatial progress of the disease within the community suggests that control measures should be applied to the entire municipality, rather than to the areas immediately surrounding houses of reported cases. The potential for incorporating Geographic Information System technologies into a dengue surveillance system and the limitations of using surveillance data for spatial studies are discussed At 10:33 PM 5/9/2000 -0700, Dick Hoskins sent this message... >If you get some responses, I would very much like to know what shows up. >Thanks >Richard Hoskins >GIS & Spatial Epidemiology Group >WA State Department of Health >1102 Quince Street >Olympia, WA 98504-7812 > >GIS uses in public health summer course: >http://healthlinks.washington.edu/inpho/gis/course.html >----- Original Message ----- >From: >To: ; ; ; >; >Sent: Tuesday, May 09, 2000 9:14 PM >Subject: Journal for GIS application on dengue control > > > > Hi there, > > Does anyone know what will be good journals to publish papers concerning >the > > use of GIS for dengue control? Thanks. --=====================_1378702==_.ALT Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable
Morrison AC, Getis A, Santiago M, Rigau-Perez JG, Reiter P: Exploratory space-time analysis of reported dengue cases during an outbreak in Florida, Puerto Rico, 1991-1992.  Am J Trop Med Hyg 1998, 58:287-298.=20
Keywords: Adolescence/Adult/Aedes/Age Distribution/analysis/Animal/Antibodies,Viral/blood/Child/Databases,Factual/= Dengue/Dengue Virus/DISEASE/Disease Outbreaks/epidemiology/Female/geography/Human/immunology/Incidence/Insect Vectors/Male/Maps/physiology/Population Surveillance/Puerto Rico/Retrospective Studies/Seasons/Sex Distribution/Space-Time Clustering/Support,Non-U.S.Gov't/Support,U.S.Gov't,Non-P.H.S./Support,U.S.Go= v't,P.H.S./TRANSMISSION/United States=20
Abstract: The spatial and temporal distributions of dengue cases reported during a 1991-1992 outbreak in Florida, Puerto Rico (population =3D 8,689), were studied by using a Geographic Information System. A total of 377 dengue cases were identified from a laboratory-based dengue surveillance system and georeferenced by their residential addresses on digital zoning and U.S. Geological Survey topographic maps. Weekly case maps were generated for the period between June and December 1991, when 94.2% of the dengue cases were reported. The temporal evolution of the epidemic was rapid, affecting a wide geographic area within seven weeks of the first reported cases of the season. Dengue cases were reported in 217 houses; of these 56 (25.8%) had between two and six reported cases. K-function analysis was used to characterize the spatial clustering patterns for all reported dengue cases (laboratory-positive and indeterminate) and laboratory-positive cases alone, while the Barton and David and Knox tests were used to characterize spatio- temporal attributes of dengue cases reported during the 1991-1992 outbreak. For both sets of data significant case clustering was identified within individual households over short periods of time (three days or less), but in general, the cases had spatial pattern characteristics much like the population pattern as a whole. The rapid temporal and spatial progress of the disease within the community suggests that control measures should be applied to the entire municipality, rather than to the areas immediately surrounding houses of reported cases. The potential for incorporating Geographic Information System technologies into a dengue surveillance system and the limitations of using surveillance data for spatial studies are discussed
At 10:33 PM 5/9/2000 -0700, Dick Hoskins sent this message...
If you get some responses, I would very much like to know what shows up.
Thanks
Richard Hoskins
GIS & Spatial Epidemiology Group
WA State Department of Health
1102 Quince Street
Olympia, WA 98504-7812

GIS uses in public health summer course:
http://healthlinks.washington.edu/inpho/gis/course.html<= /a>
----- Original Message -----
From: <Basil_LOH@ENV.gov.sg>
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<HEALTH-GIS@who.ch>; <waphgis@u.washington.edu>
Sent: Tuesday, May 09, 2000 9:14 PM
Subject: Journal for GIS application on dengue control


> Hi there,
> Does anyone know what will be good journals to publish papers concerning
the
> use of GIS for dengue control? Thanks.
--=====================_1378702==_.ALT-- .