Estimation of polio infection prevalence from environmental surveillance data-Reference-Cited by-同舟云学术

Estimation of polio infection prevalence from environmental surveillance data

Published:2017-03-29 Issue:383 Volume:9 Page:
ISSN:1946-6234
Container-title:Science Translational Medicine
language:en
Short-container-title:Sci. Transl. Med.

Author:

Berchenko Yakir¹^ORCID,Manor Yossi²,Freedman Laurence S.³,Kaliner Ehud⁴^ORCID,Grotto Itamar⁴⁵,Mendelson Ella²⁶,Huppert Amit³⁶^ORCID

Affiliation:

1. Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, P. O. 653, Beer-Sheva 84105, Israel.

2. Central Virology Laboratory, Ministry of Health, Chaim Sheba Medical Center, Tel Hashomer 52621, Israel.

3. Biostatistics Unit, Gertner Institute for Epidemiology and Health Policy Research, Tel Hashomer 52621, Israel.

4. Public Health Services, Ministry of Health, Jerusalem 9101002, Israel.

5. Department of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.

6. School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, P. O. 39040, Tel Aviv 6997801, Israel.

Abstract

Close monitoring of virus shed into sewage systems allows quantitative surveillance of a polio outbreak.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

Reference41 articles.

1. The final stages of the global eradication of poliomyelitis

2. A World Without Polio

3. The New Polio Eradication End Game: Rationale and Supporting Evidence

4. Independent Monitoring Board (IMB) Independent Monitoring Board of the Global Polio Eradication Initiative–Twelfth Report (Global Polio Eradication Initiative 2015) .

5. Oversight Role of the Independent Monitoring Board of the Global Polio Eradication Initiative

Cited by 69 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A mechanistic modeling and estimation framework for environmental pathogen surveillance;Mathematical Biosciences;2024-08

2. Proceedings of the Clinical Microbiology Open 2023: discussions about pandemic preparedness;Journal of Clinical Microbiology;2024-06-12

3. Analytical validation of a semi-automated methodology for quantitative measurement of SARS-CoV-2 RNA in wastewater collected in northern New England;Microbiology Spectrum;2024-06-04

4. Dynamic SARS-CoV-2 surveillance model combining seroprevalence and wastewater concentrations for post-vaccine disease burden estimates;Communications Medicine;2024-04-09

5. A modeling pipeline to relate municipal wastewater surveillance and regional public health data;Water Research;2024-03