Detection of Recurrent Hepatitis C Viremia Using Surveillance Data, New York City

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Kevin Guerra ◽  
Angelica Bocour ◽  
Miranda S. Moore ◽  
Ann Winters
2013 ◽  
Vol 142 (2) ◽  
pp. 262-269 ◽  
Author(s):  
S. BALTER ◽  
J. H. STARK ◽  
J. KENNEDY ◽  
K. BORNSCHLEGEL ◽  
K. KONTY

SUMMARYHepatitis C virus is the most common chronic blood-borne infection in the USA. Based on results of a serosurvey, national prevalence is estimated to be 1·3% or 3·2 million people. Sub-national estimates are not available for most jurisdictions. Hepatitis C surveillance data was adjusted for death, out-migration, under-diagnosis, and undetectable blood RNA, to estimate prevalence in New York City (NYC). The prevalence of hepatitis C infection in adults aged ⩾20 years in NYC is 2·37% (range 1·53–4·90%) or 146 500 cases of hepatitis C. This analysis presents a mechanism for generating prevalence estimates using local surveillance data accounting for biases and difficulty in accessing hard to reach populations. As the cohort of patients with hepatitis C age and require additional medical care, local public health officials will need a method to generate prevalence estimates to allocate resources. This approach can serve as a guideline for generating local estimates using surveillance data that is less resource prohibitive.


2020 ◽  
Vol 135 (6) ◽  
pp. 823-830
Author(s):  
Rachel Webster ◽  
Miranda S. Moore ◽  
Angelica Bocour ◽  
Nirah Johnson ◽  
Ann Winters

Objectives Hepatitis C virus (HCV) infection is a serious health problem in New York City. Although curative treatments are available, many people are out of care. The New York City Department of Health and Mental Hygiene (DOHMH) used surveillance data and various outreach methods to attempt to link to care people diagnosed with HCV infection from 2010 through 2015. Methods We randomly assigned people out of care (ie, no HCV test >6 months after first report) to 4 outreach groups: no outreach (control group); letter only; letter and telephone call; and letter, text message, and telephone call. Three months after outreach ended, we analyzed surveillance data to identify people with a subsequent HCV RNA or genotype test suggesting linkage to care. Results Of 2626 selected people, 199 (7.6%) had a subsequent HCV test. People in all 3 outreach groups had higher odds of a subsequent test than people in the control group (letter only: adjusted odds ratio [aOR] = 1.81 [95% CI, 1.18-2.91]; letter and telephone: aOR = 3.11 [95% CI, 1.67-5.79]; letter, text, and telephone: aOR = 3.17 [95% CI, 1.48-6.51]). People in the letter and telephone group had higher odds of a subsequent test than people in the letter-only group (aOR = 1.72; 95% CI, 1.04-2.74). Most people in the letter and telephone (136/200, 68.0%) and the letter, text, and telephone (71/99, 71.7%) groups could not be reached, primarily because telephone numbers were incorrect or out of service. Conclusion Reaching out to people soon after first report or prioritizing groups in which more recent contact information can be found might improve outcomes of future outreach.


PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0200269 ◽  
Author(s):  
Hong-Van Tieu ◽  
Oliver Laeyendecker ◽  
Vijay Nandi ◽  
Rebecca Rose ◽  
Reinaldo Fernandez ◽  
...  

2020 ◽  
Vol 158 (6) ◽  
pp. S-879
Author(s):  
Roshan Patel ◽  
Ahmed Shady ◽  
Tarek H. Alansari ◽  
Albina Aylyarova ◽  
Vivian Istafanos ◽  
...  

2015 ◽  
Vol 68 (2) ◽  
pp. 217-226 ◽  
Author(s):  
Ellen W. Wiewel ◽  
Sarah L. Braunstein ◽  
Qiang Xia ◽  
Colin W. Shepard ◽  
Lucia V. Torian

2020 ◽  
Vol 6 (9) ◽  
pp. eaax0586
Author(s):  
Donald R. Olson ◽  
Benjamin A. Lopman ◽  
Kevin J. Konty ◽  
Robert W. Mathes ◽  
Vikki Papadouka ◽  
...  

Prediction skill is a key test of models for epidemic dynamics. However, future validation of models against out-of-sample data is rare, partly because of a lack of timely surveillance data. We address this gap by analyzing the response of rotavirus dynamics to infant vaccination. Syndromic surveillance of emergency department visits for diarrhea in New York City reveals a marked decline in diarrheal incidence among infants and young children, in line with data on rotavirus-coded hospitalizations and laboratory-confirmed cases, and a shift from annual to biennial epidemics increasingly affecting older children and adults. A published mechanistic model qualitatively predicted these patterns more than 2 years in advance. Future efforts to increase vaccination coverage may disrupt these patterns and lead to further declines in the incidence of rotavirus-attributable gastroenteritis.


2003 ◽  
Vol 33 (3) ◽  
pp. 356-364 ◽  
Author(s):  
Lynne Strasfeld ◽  
Yungtai Lo ◽  
Dale Netski ◽  
David L. Thomas ◽  
Robert S. Klein

2009 ◽  
Vol 101 (1-2) ◽  
pp. 88-91 ◽  
Author(s):  
Don C. Des Jarlais ◽  
Kamyar Arasteh ◽  
Courtney McKnight ◽  
Holly Hagan ◽  
David Perlman ◽  
...  

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