Structure of ArboNET and summary of West Nile Virus Activity The Arbonet Team Division of...

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Structure of ArboNET and summary of West Nile Virus Activity The Arbonet Team Division of Vector-Borne Infectious Diseases Centers for Disease Control & Prevention Fort Collins, Colorado Chet Moore Colorado State University Fort Collins, CO

Transcript of Structure of ArboNET and summary of West Nile Virus Activity The Arbonet Team Division of...

Structure of ArboNET and summary of West Nile Virus Activity

The Arbonet Team

Division of Vector-Borne Infectious Diseases Centers for Disease Control & Prevention

Fort Collins, Colorado

Chet Moore

Colorado State University

Fort Collins, CO

ArboNET Database

“Users don’t know what they really want, but they know for certain what they don’t want."Manubay’s Laws for Programmers

• Keep it simple – avoid complex and multi-layered data entry screens whenever possible

• Build data entry screens to work the way data entry clerks actually enter the data

• Where possible, build compatibility with other data collection systems (e.g., NEDSS, etc.)

• Use drop-down lists, auto-fill and other time savers whenever possible (automatically calculate totals, statistics, etc.)

• Build error checking routines into the software

• Use lists to prevent spelling errors and similar problems

"Never attribute to malice that which is adequately explained by incompetence ."Hanlon's Razor

Historical Perspective

Progression of West Nile Virus Activity in the United States, 1999-2005

1999

2000

2001

2002

2003

2004

2005

Category No. Tested** No. Positive No. States

Mosquito 12.8 million 36,288 48†

Dead bird 128,486 53,381 48†

Veterinary Unavailable 23,447 47‡

Human Unavailable 19,706 46 †

Sentinel chicken/ horse

Unavailable 7,154 30‡

WNV Surveillance Totals, US, 1999-2005*

* Reported as of 5/5/2006

** Excludes 1999

† Plus DC

‡ Plus Puerto Rico

Observed & Predicted WNV Events, 2000

Aug Sep OctJulJunApr May

Vir

al a

ctiv

ity

(in

f er r

ed

)

Crow,Suffolk

Oc. japonicus, Westchester;Cx. pipiens, Richmond

Horse,Richmond

Human,Richmond

Sentinel Chicken,Westchester

Crow,Richmond

Sentinel wild bird, Suffolk

Human

Horse

MosquitoCrow

Sentinels

Predicted

Observed

Innovative Vector Control Consortium (IVCC)

Dengue Decision Support System

Liverpool School of Tropical MedicineColorado State University

University of California, DavisSouth African Medical Research Council

Funded by Bill and Melinda Gates Foundation

A possible scheme of software and data organization for the Dengue Decision Support System (DDSS)

Data sent

Data/maps retrieved

Map server/GIS

Web server (Central site; CSU)

Non-spatial statistics software

(R)

Spatial analysis software (ArcGIS,

SIG Epi, R)

Dengue model

Other resources• Reprint database

• Guidelines & SOP’s

• Links to other sitesOther data sets

DEN seroprevalence

Insecticide resistance

Ae. aegypti density

Dengue databases

Other data layers

Land use/land cover

Hydrology

Streets/roads

Spatial data layers

End users

(Field sites, national

programs)

Low-cost software (SIG Epi)

•Database•GIS•Statistics

WNND County Level Incidence per Million, United States, 2002

Incidence per million

.01-9.99 10-99.99 >=100 Any WNV Activity

WNND County Level Incidence per Million, United States, 2003

Incidence per million

.01-9.99 10-99.99 >=100 Any WNV Activity

WNND County Level Incidence per Million, United States, 2004

Incidence per million

.01-9.99 10-99.99 >=100 Any WNV Activity

WNND County Level Incidence per Million, United States, 2005*

• Reported as of 5/5/2006

Incidence per million

.01-9.99 10-99.99 >=100 Any WNV Activity

0

10

20

30

Age group (yr)

Pro

po

rtio

n o

f d

isea

se c

ases

(%

)

WNND WNF

Human WNV Disease Cases, by Age Group and Clinical Category, United States, 2005*

* Reported as of 5/5/2006

West Nile virus neuroinvasive disease cases by age group and gender, 1999-2005*

* Reported as of 5/5/2006

02468

1012141618

0-9 10-19 20-29 30-39 40-49 50-59 60-69 70-79 80-89 90-99

Age Group (yr)

Inc

ide

nc

e p

er

10

0,0

00

MaleIncidence

FemaleIncidence

* Reported as of 5/5/2006

Age Distribution of Fatal Human WNND Cases,United States, 2005*

0

10

20

30

40

Age group (yr)

Pro

po

rtio

n o

f a

ll f

ata

liti

es

(%

)

Dengue Decision Support System (DDSS)

Dengue Information System (DIS):

• GIS data

repository

• Dengue

surveillance

• Mosquito

surveillance

• Insecticide

resistance

monitoring

Dengue ResourceLibrary (DRL):

• Data-base for

Aedes aegypti

insecticide

resistance

• Dengue /

Ae. aegypti

pdf library

• Web-links to Ae.

aegypti / dengue

data-bases

Dengue Models (DM):

• Mosquito

simulation

model

(CIMSiM)

• Dengue

simulation

model

(DENSiM)

Dengue Decision Guide (DDG):

• Guidelines for

usage of web-

based DDSS

• Cost analyses

• Vector control

guidelines

• Decision tree

for dengue

management

IVCC-DDSS web-page