E-101 Infectious disease - Public health response

Author(s):  
Boris Lushniak
2020 ◽  
Vol 135 (1_suppl) ◽  
pp. 75S-81S
Author(s):  
H. Dawn Fukuda ◽  
Liisa M. Randall ◽  
Thera Meehan ◽  
Kevin Cranston

Policies facilitating integration of public health programs can improve the public health response, but the literature on approaches to integration across multiple system levels is limited. We describe the efforts of the Massachusetts Department of Public Health to integrate its HIV, viral hepatitis, sexually transmitted infection (STI), and tuberculosis response through policies that mandated contracted organizations to submit specimens for testing to the Massachusetts State Public Health Laboratory; co-test blood specimens for HIV, hepatitis C virus (HCV), and syphilis; integrate HIV, viral hepatitis, and STI disease surveillance and case management in a single data system; and implement an integrated infectious disease drug assistance program. From 2014 through 2018, the number of tests performed by the Massachusetts State Public Health Laboratory increased from 16 321 to 33 674 for HIV, from 11 054 to 33 670 for HCV, and from 19 169 to 30 830 for syphilis. Service contracts enabled rapid response to outbreaks of HIV, hepatitis A, and hepatitis B. Key challenges included lack of a billing infrastructure at the Massachusetts State Public Health Laboratory; the need to complete negotiations with insurers and to establish a retained revenue account to receive health insurance reimbursements for testing services; and time to train testing providers in phlebotomy for required testing. Investing in laboratory infrastructure; creating billing mechanisms to maximize health insurance reimbursement; proactively engaging providers, community members, and other stakeholders; and building capacity to transform practices are needed. Using multilevel policy approaches to integrate the public health response to HIV, STI, viral hepatitis, and tuberculosis is feasible and adaptable to other public health programs.


2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Paula Tiittala ◽  
Karolina Tuomisto ◽  
Taneli Puumalainen ◽  
Outi Lyytikäinen ◽  
Jukka Ollgren ◽  
...  

2010 ◽  
Vol 15 (26) ◽  
Author(s):  
N G Becker ◽  
D Wang ◽  
M Clements

An early estimate of disease transmissibility is essential for a well-informed public health response to a newly emerged infectious disease. In this study, we ask what type and quantity of data are needed for useful estimation of the initial reproduction number (R). It is possible to estimate R from case incidence data alone when the growing incidence of cases displays a wave pattern, because the pattern provides information about the serial interval (the time elapsed between the onset of symptoms of a case and symptom onset in individuals infected by that case). When the mode of the serial interval distribution is small, 1.5 days or less, there is generally no informative wave pattern in the observed series of daily incidences. The precision of the estimate of R is then improved substantially by having some observations on the serial interval. For an infectious disease with characteristics such as those of influenza, an estimate of R able to inform plans to mitigate transmission is obtained when the cumulative incidence of cases reaches about 300 and about 10 observations on the serial interval are available.


2020 ◽  
Vol 17 (S1) ◽  
pp. 128-138 ◽  
Author(s):  
Rebecca E. Ford-Paz ◽  
Catherine DeCarlo Santiago ◽  
Claire A. Coyne ◽  
Claudio Rivera ◽  
Sisi Guo ◽  
...  

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