Evidence map›Paper›PMID 33161883›Full record

ArticlePathogens and global health2021

Public perceptions of threats from mosquitoes in the U.S. using online media analytics.

Nicole J Olynk Widmar, Courtney Bir, Evan Long, Audrey Ruple

Abstract read
In one paragraph

Article in Pathogens and global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Nicole J Olynk WidmarDepartment Of Agricultural Economics College of Agriculture, Purdue University , West Lafayette, IN, USA.ORCID 0000-0002-6574-5295
Courtney BirDepartment Of Agricultural Economics, Ferguson College of Agriculture, Oklahoma State University , Stillwater, OK, USA.ORCID 0000-0003-0862-8241
Evan LongDepartment Of Agricultural Economics College of Agriculture, Purdue University , West Lafayette, IN, USA.
Audrey RupleDepartment Of Public Health, College of Health and Human Sciences, Purdue University , West Lafayette, IN, USA.ORCID 0000-0002-5223-0217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquito-borne illnesses present a public health threat. This analysis quantifies general online mosquito media, and the Zika virus [ZIKV) specifically, from 7-20-2016 to 10-20-2018 in five U.S. geographies. The ZIKV sub-search comprised a shrinking share of online media about mosquitoes over time. Net sentiment, numerical scoring of search result positivity/negativity bounded between -100 and +100, was assessed. Mean net sentiment for the general mosquitoes search was -51; -55 for ZIKV. The ZIKV search revealed more variation in weekly net sentiment with a standard deviation of 14, compared to 10 for mosquitoes. Seventy-seven percent of the weeks had a net sentiment for the mosquito search that was more positive than the ZIKV search. For the 23% of the time the ZIKV search net sentiment was more positive than the general mosquito search, there were mentions of scientific advances, such as the potential for vaccine development associated with the post. Greater emphasis on public health threats from mosquitoes may be necessary to stimulate public action on mosquito-borne illness control. This analysis serves as an illustration of the potential for online/social media analysis to inform health officials of public interest/focus, and perhaps inform effective communication campaigns to combat public health threats.

Indexed as

CulicidaePublic OpinionZika VirusZika Virus InfectionAnimalsHumansMosquito VectorsmosquitoPublic healthpublic perceptionssocial media listeningZika virus

Identifiers

PMID33161883
PMCPMC7850394

What OpenQuestion holds

Textmetadata
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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.