Evidence map›Paper›PMID 34352615›Full record

SynthesisPublic health2021

What can internet users' behaviours reveal about the mental health impacts of the COVID-19 pandemic? A systematic review.

Vincenza Gianfredi, Sandro Provenzano, Omar Enzo Santangelo

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
8.8field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Altered Food Behavior and Cancer: A Systematic Review of the Literature.International journal of environmental research and public health · 2022
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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 at 3 institutions in 4 countries.

Vincenza GianfrediSchool of Medicine, University Vita-Salute San Raffaele, 20132 Milan, Italy; CAPHRI Care and Public Health Research Institute, Maastricht University, 6211 Maastricht, the Netherlands. Electronic address: gianfredi.vincenza@hsr.it.
Sandro ProvenzanoLocal Health Unit of Trapani, Trapani, Italy. Electronic address: provenzanosandro@hotmail.it.
Omar Enzo SantangeloAzienda Socio Sanitaria Territoriale di Lodi, ASST di Lodi, Italy. Electronic address: omarenzosantangelo@hotmail.it.
Advanced Research Projects Agency - Energy · USAzienda Socio Sanitaria Territoriale Lariana · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAt the end of 2019, an acute infectious pneumonia (coronavirus disease 2019 [COVID-19]) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) began in Wuhan, China, and subsequently spread around the world starting a pandemic. Globally, to date, there have been >118 million confirmed cases, including >2 million deaths. In this context, it has been shown that the psychological impact of the pandemic is important and that it can be associated with an increase in internet searches related to fear, anxiety, depression, as well as protective behaviours, health knowledge and even maladaptive behaviours. STUDY

designThis is a systematic review.

methodsThis review aims to collect, analyse and synthesise available evidence on novel data streams for surveillance purposes and/or their potential for capturing the public reaction to epidemic outbreaks, particularly focusing on mental health effects and emotions.

resultsAt the end of the screening process, 19 articles were included in this systematic review. Our results show that the COVID-19 pandemic had a great impact on internet searches for mental health of entire populations, which manifests itself in a significant increase of depressed, anxious and stressed internet users' emotions.

conclusionsNovel data streams can support public health experts and policymakers in establishing priorities and setting up long-term strategies to mitigate symptoms and tackle mental health disorders.

Indexed as

COVID-19PandemicsHumansInternetMental HealthSARS-CoV-2BaiduCOVID-19Google trendsMental healthNovel data streamSystematic reviewTwitterWeiboYouTube

Identifiers

PMID34352615
PMCPMC8328639
OpenAlexW3180117644

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.