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1.
Am Surg ; 87(5): 690-697, 2021 May.
Article in English | MEDLINE | ID: covidwho-1277825

ABSTRACT

BACKGROUND: The impacts of social stressors on violence during the coronavirus disease 2019 (COVID-19) pandemic are unknown. We hypothesized that firearm purchases and violence would increase surrounding the pandemic. This study determined the impact of COVID-19 and shelter-in-place (SIP) orders on firearm purchases and incidents in the United States (US) and New York State (NYS). METHODS: Scatterplots reflected trends in firearm purchases, incidents, and deaths over a 16-month period (January 2019 to April 2020). Bivariate comparisons of SIP and non-SIP jurisdictions before and after SIP (February 2020 vs. April 2020) and April 2020 vs. April 2019 were performed with the Mann-Whitney U test. RESULTS: The incidence of COVID-19 in the US increased between February and April 2020 from 24 to 1 067 660 and in NYS from 0 to 304 372. When comparing February to March to April in the US, firearm purchases increased 33.6% then decreased 22.0%, whereas firearm incidents increased 12.2% then again increased by 3.6% and firearm deaths increased 23.8% then decreased in April by 3.8%. In NYS, comparing February to March to April 2020, firearm purchases increased 87.6% then decreased 54.8%, firearm incidents increased 110.1% then decreased 30.8%, and firearm deaths increased 57.1% then again increased by 6.1%. In both SIP and non-SIP jurisdictions, April 2020 firearm purchases, incidents, deaths, and injuries were similar to April 2019 and February 2020 (all P = NS). DISCUSSION: Coronavirus disease 2019-related stressors may have triggered an increase in firearm purchases nationally and within NYS in March 2020. Firearm incidents also increased in NYS. SIP orders had no effect on firearm purchases and firearm violence.


Subject(s)
COVID-19/psychology , Firearms/statistics & numerical data , Gun Violence/trends , Wounds, Gunshot/etiology , Anxiety/etiology , COVID-19/epidemiology , COVID-19/prevention & control , Databases, Factual , Gun Violence/psychology , Health Policy , Humans , New York/epidemiology , Pandemics/prevention & control , Physical Distancing , Retrospective Studies , Stress, Psychological/etiology , United States/epidemiology , Wounds, Gunshot/mortality
2.
JMIR Public Health Surveill ; 7(1): e24562, 2021 01 06.
Article in English | MEDLINE | ID: covidwho-1011352

ABSTRACT

BACKGROUND: Twitter has emerged as a novel way for physicians to share ideas and advocate for policy change. #ThisIsOurLane (firearm injury) and #GetUsPPE (COVID-19) are examples of nationwide health care-led Twitter campaigns that went viral. Health care-initiated Twitter hashtags regarding major public health topics have gained national attention, but their content has not been systematically examined. OBJECTIVE: We hypothesized that Twitter discourse on two epidemics (firearm injury and COVID-19) would differ between tweets with health care-initiated hashtags (#ThisIsOurLane and #GetUsPPE) versus those with non-health care-initiated hashtags (#GunViolence and #COVID19). METHODS: Using natural language processing, we compared content, affect, and authorship of a random 1% of tweets using #ThisIsOurLane (Nov 2018-Oct 2019) and #GetUsPPE (March-May 2020), compared to #GunViolence and #COVID19 tweets, respectively. We extracted the relative frequency of single words and phrases and created two sets of features: (1) an open-vocabulary feature set to create 50 data-driven-determined word clusters to evaluate the content of tweets; and (2) a closed-vocabulary feature for psycholinguistic categorization among case and comparator tweets. In accordance with conventional linguistic analysis, we used a P<.001, after adjusting for multiple comparisons using the Bonferroni correction, to identify potentially meaningful correlations between language features and outcomes. RESULTS: In total, 67% (n=4828) of #ThisIsOurLane tweets and 36.6% (n=7907) of #GetUsPPE tweets were authored by health care professionals, compared to 16% (n=1152) of #GunViolence and 9.8% (n=2117) of #COVID19 tweets. Tweets using #ThisIsOurLane and #GetUsPPE were more likely to contain health care-specific language; more language denoting positive emotions, affiliation, and group identity; and more action-oriented content compared to tweets with #GunViolence or #COVID19, respectively. CONCLUSIONS: Tweets with health care-led hashtags expressed more positivity and more action-oriented language than the comparison hashtags. As social media is increasingly used for news discourse, public education, and grassroots organizing, the public health community can take advantage of social media's broad reach to amplify truthful, actionable messages around public health issues.


Subject(s)
Gun Violence/prevention & control , Health Personnel/psychology , Social Media/instrumentation , COVID-19/complications , COVID-19/transmission , Cross-Sectional Studies , Gun Violence/psychology , Gun Violence/statistics & numerical data , Health Personnel/trends , Humans , Pandemics/prevention & control , Pandemics/statistics & numerical data , Retrospective Studies , Social Media/trends
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