Evidence map›Paper›PMID 41384157›Full record

ArticleLe infezioni in medicina2025

From Black Death to COVID-19: Lessons Learned from the Past Pandemics.

Sina Radparvar

Abstract read
In one paragraph

Article in Le infezioni in medicina, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Sina RadparvarDepartment of Internal Medicine, Southern California Permanente Medical Group, 13652 Cantara Street, Panorama City, California, 91402 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Throughout human history, pandemics such as Black Death, Smallpox, Spanish Flu and COVID-19 caused global outbreaks and spread of infectious pathogens resulting in significant morbidity and mortality. They also had profound social, cultural, political and economic effects. Various public health containment measures and treatment strategies were implemented in response to the outbreaks. Societal responses to the pandemics and the recommended control measures, though variable, followed common central themes over the centuries. Some of common themes included blaming outsiders or marginalized communities for the spread of diseases, defiance of public health measures, demands for change through social unrest, the spread of misinformation about diseases and unproven treatments, and complaints about healthcare disparities and socioeconomic inequalities. Methods: Literature reviews were conducted via academic search engines Medline, Google Scholar, Web of Science and to identify pertinent historical and modern research and review articles related to the topic. Results: The paper reviews the historical significance of the four pandemics, their pathophysiology, the public health strategies against the infectious agents and the psychosocial impacts of the outbreaks. The findings suggest that successful response to pandemic recurrences is not only driven by scientific advancements and government mandates but is also dependent on societal behavior and reactions as well as community environments and social determinants of health. Discussion: Throughout previous pandemics, valuable lessons were overlooked, and little attention was placed on psychosocial factors. Understanding societal behaviors, human nature, disparities in socioeconomic status and inequalities can have a profound impact in combating the next pandemic.

Indexed as

Black DeathCOVID-19pandemicSmallpoxSpanish flu

Identifiers

PMID41384157
PMCPMC12695168

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.