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      Exposure to coronavirus news on mainstream media: The role of risk perceptions and depression

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          Abstract

          Objective

          The mainstream media tend to rely on news content that will increase risk perceptions of pandemic outbreaks to stimulate public response and persuade people to comply with preventive behaviours. The objective of this study was to examine associations between exposure to coronavirus disease (COVID‐19) news, risk perceptions, and depressive symptoms.

          Methods

          Cross‐sectional data were collected from 501 participants who were ≥18 years. Exposure to COVID‐19 news was assessed as our exposure variable. We screened for depression (outcome variable) with the Patient Health Questionnaire and examined the roles of risk perceptions. Multiple linear regressions and mediation analysis with 1000 bootstrap resamples were conducted.

          Results

          Participants were 55.29% female, 67.86% White with mean age 32.44 ± 11.94 years. After controlling for sociodemographic and socio‐economic factors, news exposure was positively associated with depressive symptoms β = .11; 95% confidence interval (95%CI) = 0.02–0.20. Mediation analysis showed that perceived vulnerability to COVID‐19 mediated 34.4% of this relationship (β = .04; 95%CI = 0.01–0.06).

          Conclusion

          Perceived vulnerability to COVID‐19 can serve as a pathway through which exposure to COVID‐19 news on mainstream media may be associated with depressive symptoms. Based on our findings, we offered recommendations for media–health partnership, practice, and research.

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          Most cited references19

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          Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

          Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.
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            Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID‐19) implicate special control measures

            Abstract By 27 February 2020, the outbreak of coronavirus disease 2019 (COVID‐19) caused 82 623 confirmed cases and 2858 deaths globally, more than severe acute respiratory syndrome (SARS) (8273 cases, 775 deaths) and Middle East respiratory syndrome (MERS) (1139 cases, 431 deaths) caused in 2003 and 2013, respectively. COVID‐19 has spread to 46 countries internationally. Total fatality rate of COVID‐19 is estimated at 3.46% by far based on published data from the Chinese Center for Disease Control and Prevention (China CDC). Average incubation period of COVID‐19 is around 6.4 days, ranges from 0 to 24 days. The basic reproductive number (R0 ) of COVID‐19 ranges from 2 to 3.5 at the early phase regardless of different prediction models, which is higher than SARS and MERS. A study from China CDC showed majority of patients (80.9%) were considered asymptomatic or mild pneumonia but released large amounts of viruses at the early phase of infection, which posed enormous challenges for containing the spread of COVID‐19. Nosocomial transmission was another severe problem. A total of 3019 health workers were infected by 12 February 2020, which accounted for 3.83% of total number of infections, and extremely burdened the health system, especially in Wuhan. Limited epidemiological and clinical data suggest that the disease spectrum of COVID‐19 may differ from SARS or MERS. We summarize latest literatures on genetic, epidemiological, and clinical features of COVID‐19 in comparison to SARS and MERS and emphasize special measures on diagnosis and potential interventions. This review will improve our understanding of the unique features of COVID‐19 and enhance our control measures in the future.
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              Beyond the Turk: Alternative platforms for crowdsourcing behavioral research

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                Author and article information

                Contributors
                aolago2@uic.edu
                Journal
                Br J Health Psychol
                Br J Health Psychol
                10.1111/(ISSN)2044-8287
                BJHP
                British Journal of Health Psychology
                John Wiley and Sons Inc. (Hoboken )
                1359-107X
                2044-8287
                16 May 2020
                : e12427
                Affiliations
                [ 1 ] Division of Community Health Sciences School of Public Health University of Illinois at Chicago Illinois USA
                [ 2 ] Department of Internal Medicine John H. Stroger, Jr. Hospital of Cook County Chicago Illinois USA
                [ 3 ] Department of Biomedical and Health Information Sciences College of Applied Health Sciences University of Illinois at Chicago Illinois USA
                [ 4 ] Center of Innovations in Chronic and Complex Healthcare Edward Hines JR VA Medical Center Illinois USA
                Author notes
                [*] [* ] Correspondence should be addressed to Ayokunle Olagoke, School of Public Health, University of Illinois at Chicago, 1603 W Taylor, Chicago, IL 60612, USA (email: aolago2@ 123456uic.edu ).

                Author information
                https://orcid.org/0000-0003-0271-4069
                https://orcid.org/0000-0002-6015-2642
                https://orcid.org/0000-0002-1431-3396
                Article
                BJHP12427
                10.1111/bjhp.12427
                7267047
                32415914
                770984b1-59e9-4316-9e57-2a30cf691f26
                © 2020 The British Psychological Society

                This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

                History
                : 07 April 2020
                : 16 April 2020
                Page count
                Figures: 1, Tables: 1, Pages: 10, Words: 9565
                Categories
                Brief Report
                Brief Reports
                Custom metadata
                2.0
                corrected-proof
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.3 mode:remove_FC converted:03.06.2020

                covid‐19,depression,mainstream media,risk perception
                covid‐19, depression, mainstream media, risk perception

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