State Health Department Structure and Pandemic Planning

2010 ◽  
Vol 16 (2) ◽  
pp. e1-e7 ◽  
Author(s):  
Tamar Klaiman ◽  
Jennifer K. Ibrahim
Keyword(s):  
Health Department ◽  
State Health ◽  
State Health Department ◽  
Pandemic Planning

The extraction of quality‐of‐care clinical indicators from State health department administrative databases

1999 ◽  
Vol 170 (9) ◽  
pp. 420-424 ◽  
Author(s):  
Jennifer W Majoor ◽  
Joseph E Ibrahim ◽  
Flavia M Cicuttini ◽  
John J McNeil ◽  
Neil W Boyce
Keyword(s):  
Quality Of Care ◽  
Health Department ◽  
Administrative Databases ◽  
State Health ◽  
State Health Department ◽  
Clinical Indicators

scholarly journals List of species in the genus Lutzomyia, França, 1924 (Psychodidae, Phlebotominae) from the State of Mato Grosso

2007 ◽  
Vol 40 (1) ◽  
pp. 11-14 ◽  
Author(s):  
Nanci Akemi Missawa ◽  
Giovana Belem Moreira Lima Maciel
Keyword(s):  
National Health ◽  
Vegetation Type ◽  
Health Department ◽  
Human Action ◽  
The State ◽  
Sand Fly ◽  
State Health ◽  
State Health Department ◽  
Mato Grosso ◽  
Forested Areas

This work had the objective of listing the sand fly species that occur in the State of Mato Grosso, Brazil. Data relating to entomological surveys conducted between 1996 and 2004 were obtained from the National Health Foundation and the State Health Department, and this was supplemented with information from research carried out in the state and from the specialized literature. There were records of 106 sand fly species belonging to the genus Lutzomyia. This is a rich and diversified fauna, with some species restricted to forested areas and others recorded throughout the state, independent of the vegetation type, and in areas modified by human action, with predominance of Lutzomyia whitmani.

scholarly journals State Health Department Perceived Utility of and Satisfaction with ArboNET, the U.S. National Arboviral Surveillance System

2012 ◽  
Vol 127 (4) ◽  
pp. 383-390 ◽  
Author(s):  
Nicole P. Lindsey ◽  
Jennifer A. Brown ◽  
Lon Kightlinger ◽  
Lauren Rosenberg ◽  
Marc Fischer ◽  
...  
Keyword(s):  
User Satisfaction ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Laboratory Data ◽  
Health Department ◽  
State Health ◽  
State Health Department ◽  
Perceived Utility ◽  
Arboviral Disease ◽  
The U.S

Objectives. We assessed the perceived utility of data collected through ArboNET, the national arboviral surveillance system, and evaluated state health department user satisfaction with system function. Methods. We used an online assessment tool to collect information about types of arboviral surveillance conducted, user satisfaction with ArboNET's performance, and use of data collected by the system. Representatives of all 53 reporting jurisdictions were asked to complete the assessment during spring 2009. Results. Representatives of 48 (91%) jurisdictions completed the assessment. Two-thirds of respondents were satisfied with ArboNET's overall performance. Most concerns were related to data transmission, particularly the lack of compatibility with the National Electronic Disease Surveillance System (NEDSS). Users found mosquito (85%), human disease (80%), viremic blood donor (79%), and veterinary disease (75%) surveillance data to be useful. While there was disagreement about the usefulness of avian mortality and sentinel animal surveillance, only 15% of users supported eliminating these categories. Respondents found weekly maps and tables posted on the U.S. Geological Survey (92%) and CDC (88%) websites to be the most useful reports generated from ArboNET data. Although many jurisdictions were willing to report additional clinical or laboratory data, time and resource constraints were considerations. Most respondents (71%) supported review and possible revision of the national case definition for human arboviral disease. Conclusions. As a result of this assessment, CDC and partner organizations have made ArboNET NEDSS-compatible and revised national case definitions for arboviral disease. Alternative data-sharing and reporting options are also being considered. Continued evaluation of ArboNET will help ensure that it continues to be a useful tool for national arboviral disease surveillance.

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