Design Strategies for Efficient Arbovirus Surveillance

Scarpino, Samuel V.; Meyers, Lauren Ancel; Johansson, Michael A.

i

Design Strategies for Efficient Arbovirus Surveillance

Supporting Files

Apr 2017
By Scarpino, Samuel V. ; Meyers, Lauren Ancel ; Johansson, Michael A.

File Language:

English

Details

Alternative Title:

Emerg Infect Dis
Personal Author:

Scarpino, Samuel V. ; Meyers, Lauren Ancel ; Johansson, Michael A.
Description:

As public health agencies struggle to track and contain emerging arbovirus threats, timely and efficient surveillance is more critical than ever. Using historical dengue data from Puerto Rico, we developed methods for streamlining and designing novel arbovirus surveillance systems with or without historical disease data.
Subjects:
Source:

Emerg Infect Dis. 23(4):642-644.
Pubmed ID:

28322711
Pubmed Central ID:

PMC5367434
Document Type:

Journal Article
Funding:

U54 GM088558/GM/NIGMS NIH HHS/United States
Place as Subject:

Puerto Rico
Location:

Caribbean
Volume:

23
Issue:

4
Download URL:

https://stacks.cdc.gov/view/cdc/45018/cdc_45018_DS1.pdf
File Type:

[PDF - 1.58 MB]
Collection(s):

Emerging Infectious Diseases
Main Document Checksum:

urn:sha256:2fb142b773e8b0b2a56c0b191cc9c7be297ea3baddc93a2d3c3de2aa2e5f8ae7

File Language:

English

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