Evidence map›Paper›PMID 34371338›Full record

ArticleEconomics and human biology2021

Persistent Pandemics.

Peter Z Lin, Christopher M Meissner

Open access · greenAbstract read
In one paragraph

Article in Economics and human biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 44% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. The 1968 Influenza Pandemic and COVID-19 Outcomes.medRxiv : the preprint server for health sciences · 2022
    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

2 authors at 2 institutions in 1 country.

Peter Z LinCalifornia Center for Population Research, University of California, Los Angeles, United States. Electronic address: zxlin@ucla.edu.
Christopher M MeissnerDepartment of Economics, University of California, Davis and National Bureau of Economic Research (NBER), United States. Electronic address: cmm@ucdavis.edu.
National Bureau of Economic Research · USUniversity of California, Los Angeles · US

Funding

Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRAM BELTRAN-SANCHEZ · 2016 to 2026
$6.9M
NICHD NIH HHS P2C HD041022
6 · The paper itself

Abstract

We ask whether mortality from historical pandemics has any predictive content for mortality in the Covid-19 pandemic. We find strong persistence in public health performance. Places that performed worse in terms of mortality in the 1918 influenza pandemic also have higher Covid-19 mortality today. This is true across countries as well as across a sample of large US cities. Experience with SARS in 2003 is associated with slightly lower mortality today. We discuss some socio-political factors that may account for persistence including distrust of expert advice, lack of cooperation, over-confidence, and health care supply shortages. Multi-generational effects of past pandemics may also matter.

Indexed as

COVID-19PandemicsHumansPoliticsPublic HealthSARS-CoV-21918 pandemicCovid-19InfluenzaPandemicPersistenceSARS

Identifiers

PMID34371338
PMCPMC8285223
OpenAlexW3185384845

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.