Evidence map›Paper›PMID 35185279›Full record

ArticleJournal of the Japanese and international economies2022

COVID-19 infection spread and human mobility.

Masahiko Shibamoto, Shoka Hayaki, Yoshitaka Ogisu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Japanese and international economies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Expenditure responses to the COVID-19 pandemic.Japan and the world economy · 2023
    Article
  4. Article
4 · The record

Corrections and comments

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

3 authors.

Masahiko ShibamotoResearch Institute for Economics and Business Administration (RIEB) and Center for Computational Social Science (CCSS), Kobe University, 2-1, Rokkodai, Nada, Kobe, 657-8501, Japan.
Shoka HayakiGraduate School of Business Administration, Kobe University, 2-1, Rokkodai, Nada, Kobe, 657-8501, Japan.
Yoshitaka OgisuGraduate School of Economics, Kobe University, 2-1, Rokkodai, Nada, Kobe, 657-8501, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given that real-world infection-spread scenarios pose many uncertainties, and predictions and simulations may differ from reality, this study explores factors essential for more realistically describing an infection situation. It furnishes three approaches to the argument that human mobility can create an acceleration of the spread of COVID-19 infection and its cyclicality under the simultaneous relationship. First, the study presents a dynamic model comprising the infection-mobility trade-off and mobility demand, where an increase in human mobility can cause infection explosion and where, conversely, an increase in new infections can be made temporary by suppressing mobility. Second, using time-series data for Japan, it presents empirical evidence for a stochastic trend and cycle in new infection cases. Third, it employs macroeconometrics to ascertain the feasibility of our model's predictions. Accordingly, from March 2020 to May 2021, the sources of COVID-19 infection spread in Japan varied significantly over time, and each change in the trend and cycle of new infection cases explained approximately half the respective variation.

Indexed as

COVID-19Infection–mobility trade-offmacroeconometricsMobility demandNew infection casesStochastic trend and cycle

Identifiers

PMID35185279
PMCPMC8840825

What OpenQuestion holds

Textmetadata
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.