ArticleAmerican journal of public health2018
Public Health Surveillance for Zika Virus: Data Interpretation and Report Validity.
Article in American journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Efficient SARS-CoV-2 variant detection and monitoring with Spike Screen next-generation sequencing.Briefings in bioinformatics · 2024Article
- Zika virus knowledge and vaccine acceptance among undergraduate students in Guayaquil, Ecuador.Vaccine: X · 2023Article
- Enhancing global health security in Thailand: Strengths and challenges of initiating a One Health approach to avian influenza surveillance.One health (Amsterdam, Netherlands) · 2022Article
- Article
- SARS-CoV-2/COVID-19 Testing: The Tower of Babel.Acta bio-medica : Atenei Parmensis · 2020Article
- Dynamic Panel Surveillance of COVID-19 Transmission in the United States to Inform Health Policy: Observational Statistical Study.Journal of medical Internet research · 2020Observational
- Knowledge and attitude towards pregnancy-related issues of Zika virus infection among general practitioners in Indonesia.BMC infectious diseases · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Zika virus provides an example for which public health surveillance is based primarily on health care provider notifications to health departments of potential cases. This case-based surveillance is commonly used to understand the spread of disease in a population. However, case-based surveillance is often biased-whether testing is done and which tests are used and the accuracy of the results depend on a variety of factors including test availability, patient demand, perceptions of transmission, and patient and provider awareness, leading to surveillance artifacts that can provide misleading information on the spread of a disease in a population and have significant public health practice implications. To better understand this challenge, we first summarize the process that health departments use to generate surveillance reports, then describe factors influencing testing and reporting patterns at the patient, provider, and contextual level. We then describe public health activities, including active surveillance, that influence both patient and provider behavior as well as surveillance reports, and conclude with a discussion about the interpretation of surveillance data and approaches that could improve the validity of surveillance reports.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.