Article in The Journal of infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
2 · The registry
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
5 authors.
Akihiro NishiDepartment of Epidemiology, University of California, Los Angeles Fielding School of Public Health, Los Angeles, CA 90095, United States; California Center for Population Research, University of California, Los Angeles, Los Angeles, CA 90095, United States. Electronic address: akihironishi@ucla.edu.
Lily F LeeDepartment of Epidemiology, University of California, Los Angeles Fielding School of Public Health, Los Angeles, CA 90095, United States. Electronic address: lfl1844@g.ucla.edu.
Hiroshi TsujiDepartment of Hygiene and Public Health, Osaka Medical College, Takatsuki, Osaka 569-0826, Japan. Electronic address: hyg033@osaka-med.ac.jp.
Yohsuke TakasakiInstitute for Sustainable Society, Meguro, Tokyo 153-0051, Japan. Electronic address: yohsuke.takasaki@iss.or.jp.
Sean D YoungUniversity of California Institute for Prediction Technology, Department of Informatics, UC Irvine, Irvine, CA 92617, United States; Department of Emergency Medicine, UC Irvine, Irvine, CA 92868, United States. Electronic address: syoung5@hs.uci.edu.
Funding
INNOVATIVE IMPLEMENTATION RESEARCH METHODS COREP30DA027828 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BROWN, C. HENDRICKS, MUSTANSKI, BRIAN · 2011 to 2020
$11.4M
Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRAM BELTRAN-SANCHEZ · 2016 to 2026
$6.9M
Mining real-time social media big data to monitor HIV: Development and Ethical IssuesR01AI132030 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, SEAN · 2017 to 2020
$3.4M
HOPE Social Media Intervention for HIV Testing and Studying Social NetworksR01MH106415 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, SEAN · 2015 to 2019
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.
Revisiting the county/city-level event risk assessment during the COVID-19 pandemic. · full record | OpenQuestion