Evidence map›Paper›PMID 36824849›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Quantification of early nonpharmaceutical interventions aimed at slowing transmission of Coronavirus Disease 2019 in the Navajo Nation and surrounding states (Arizona, Colorado, New Mexico, and Utah).

Ely F Miller, Jacob Neumann, Ye Chen, Abhishek Mallela, Yen Ting Lin, William S Hlavacek, Richard G Posner

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Ely F MillerDepartment of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, United States of America.
Jacob NeumannDepartment of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, United States of America.
Ye ChenDepartment of Mathematics and Statistics, Northern Arizona University, Flagstaff, Arizona, United States of America.
Abhishek MallelaDepartment of Mathematics, University of California, Davis, California, United States of America.
Yen Ting LinComputer, Computational, and Statistical Sciences Division and Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
William S HlavacekTheoretical Division and Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Richard G PosnerDepartment of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, United States of America.
Northern Arizona University · USLos Alamos National Laboratory · USUniversity of California, Davis · US

Funding

Hardening Software for Rule-based models-Competitive RevisionR01GM111510 · NIGMS · NORTHERN ARIZONA UNIVERSITY · PI HLAVACEK, WILLIAM S, POSNER, RICHARD G · 2014 to 2023
$2.8M
NIGMS NIH HHS R01 GM111510
6 · The paper itself

Abstract

During an early period of the Coronavirus Disease 2019 (COVID-19) pandemic, the Navajo Nation, much like New York City, experienced a relatively high rate of disease transmission. Yet, between January and October 2020, it experienced only a single period of growth in new COVID-19 cases, which ended when cases peaked in May 2020. The daily number of new cases slowly decayed in the summer of 2020 until late September 2020. In contrast, the surrounding states of Arizona, Colorado, New Mexico, and Utah all experienced at least two periods of growth in the same time frame, with second surges beginning in late May to early June. To investigate the causes of this difference, we used a compartmental model accounting for distinct periods of non-pharmaceutical interventions (NPIs

Identifiers

PMID36824849
PMCPMC9949183
OpenAlexW4321071175

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.