Literature DB >> 32500853

The Peru Approach against the COVID-19 Infodemic: Insights and Strategies.

Aldo Alvarez-Risco1, Christian R Mejia2, Jaime Delgado-Zegarra3, Shyla Del-Aguila-Arcentales4,5, Arturo A Arce-Esquivel6, Mario J Valladares-Garrido2, Mauricio Rosas Del Portal7, León F Villegas8, Walter H Curioso2, M Chandra Sekar9, Jaime A Yáñez10,11.   

Abstract

The COVID-19 epidemic has spawned an "infodemic," with excessive and unfounded information that hinders an appropriate public health response. This perspective describes a selection of COVID-19 fake news that originated in Peru and the government's response to this information. Unlike other countries, Peru was relatively successful in controlling the infodemic possibly because of the implementation of prison sentences for persons who created and shared fake news. We believe that similar actions by other countries in collaboration with social media companies may offer a solution to the infodemic problem.

Entities:  

Mesh:

Year:  2020        PMID: 32500853      PMCID: PMC7410469          DOI: 10.4269/ajtmh.20-0536

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


INTRODUCTION

Peru is facing a tremendous burden from the COVID-19 pandemic, as it is among the top 15 countries in the world in reported COVID-19 cases and second in Latin America, only after Brazil.[1] On May 25, 2020, Peru reported 123,979 COVID-19 cases with a 2.9% lethality rate.[2] Presently, with more than 60 days of lockdown and social isolation in Peru, the COVID-19 crisis is expected to markedly affect people’s well-being, as has been reported elsewhere.[3-6] The COVID-19 crisis is reported to cause increased anxiety[7,8] as people’s work and normal life are disrupted, causing an unprecedented impact on mental health.[9,10] This disruption has been accompanied by an infodemic of fake news, as reported by the World Health Organization (WHO) on February 15, 2020.[11] Sylvie Briand, architect of the WHO’s strategy to counter the infodemic, observed that misinformation and false reports spread faster because of social media.[11] To counteract this, the WHO provides up-to-date information via its social media and website and urges people to act appropriately.[11] The fight against the infodemic is a real challenge, as it spreads very rapidly on social media. The infodemic has been accompanied by reports of racism and discrimination against Chinese nationals and patients in the United Kingdom[12] and a surge of unproven religious and herbal treatments for COVID-19 prevention in India.[13] Unproven prescription drugs have been falsely promoted for COVID-19 prevention and treatment, including hydroxychloroquine plus azithromycin, tocilizumab, or ivermectin.[14] Caretas, a magazine in Peru, portrayed ivermectin as a potential treatment on its front page, which outraged the scientific and medical community because it promoted self-medication.[15]

Possible cause of the infodemic: low health literacy and free time.

In a population with a low literacy rate, increased availability of free time as result of the COVID-19 lockdown may have contributed to the infodemic. Health literacy has been defined as the individuals’ capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions,[16] and to address or solve a health-related problem.[17] Reports show that a rumor has a three times greater chance to be shared on social media than a verified story,[18] and lack of health literary in a population will have the capability to amplify the problem. Figure 1 shows a decision tree on how to address a COVID-19 online post.[19,20] The general recommendation is to look for alerts including the length of the post, extent of engagement, whether it contains advertisements, and its relevance to the reader. The only information one should share is information that has been investigated and is understood by the reader.
Figure 1.

Decision tree and factors to consider before liking or sharing a COVID-19 online post or ignoring it. Figure adapted from McQuate.[19]

Decision tree and factors to consider before liking or sharing a COVID-19 online post or ignoring it. Figure adapted from McQuate.[19]

Peruvian government response against the COVID-19 infodemic.

We present as examples three of the most relevant fake news items that were denied by the Peruvian government, using official social media. 1. Death forecast: “125,000 people could die in Peru”[21] (dated: March 19, 2020). This was a personal commentary by a news reporter in Peru and was rapidly shared on social media. His forecast was based on the number of confirmed cases during the first 10 days of the pandemic, an exponential increase, and a worst case scenario with absence of social isolation. However, Peru had already implemented strict social isolation measures and a nationwide lockdown. The forecast raised alarm in the population and was wrong, as the death toll as of May 25, 2020 in Peru is 3,629[2]. 2. Rumors about the minister of economy contracting COVID-19 based on “visible symptoms”[16] (dated: March 11, 2020). These rumors were based on a photograph on Twitter.[16] It was a malicious post because a photograph is not a diagnostic tool. 3. When Martin Vizcarra, the president of Peru, did not host his daily press conference, it started a rumor that he was very sick and hospitalized because of COVID-19. (dated: March 29, 2020). This was denied by the Ministry of Health of Peru via its Twitter account the same day,[22] and on May 19 during his press conference, President Vizcarra informed that to stop those ongoing rumors, he was tested and his result was negative.[23]

Implemented strategies in Peru against the COVID-19 infodemic.

The reported fake news in March were summarized by the “Handbook Covid-19 Peru” website.[24] This is similar in concept to other international websites such as Salud sin Bulos,[25] Salud con Lupa,[26] and Maldita.es,[27] which have so far been able to identify more than 500 global hoaxes related to COVID-19. The last entry in the Handbook Covid-19 Peru is dated March 27, 2020.[24] The reason for this was possibly the announcement via Twitter[28] on April 8 by the Ministry of Justice and Human Rights of Peru that persons who share fake news and misinform others to obtain a benefit or to perturb the public tranquility can be sanctioned with a prison sentence. The Ministry urged people to share only official information, accompanied by the hashtag “Don’t Spread #FakeNews.”[28] It further indicated that those who create and/or share false information to benefit themselves or cause perjury to others will receive a 2- to 4-year prison sentence, and if the fake news causes panic and perturbs the public tranquility, the sentence may be 3–6 years.[28,29] Peru became the first country in Latin America to implement prison sentences for creating and disseminating fake news. This measure was widely applauded, as it appeared to result in a dramatic drop in fake news accounts. The term fake news was again mentioned in Peru[23] only on May 19, when the President announced that to deny rumors, he was tested for COVID-19.

Other measures to combat the COVID-19 infodemic.

Efforts by social media and other technology companies to curb the infodemic have now been implemented. Twitter proposed to curb the spread of COVID-19 fake news by deleting accounts that spread fake news.[30] Similar efforts have been made by ebay and Amazon[31-33] by deleting offers of products marketed as miracle cures. There is a proposal to include health preventive measures into elementary and high school curricula.[34] It has been reported that the promotion of health literacy in schools resulted in enhanced basic cancer literacy among middle and high school students.[35] Health agencies have been urged to have a more proactive and agile public health presence on social media and to combat the spread of fake news by directly responding to fake news and by building disease detection and surveillance systems through social media and unusual activity monitoring.[36] The U.K. National Health Service (NHS) website describes specific actions against COVID-19 online fake news.[37] Similarly, the Pan American Health Organization website provides risk communication guidelines for fake news.[38] Artificial intelligence approaches, such as a deep convolutional neural network (FNDNet), for the automatic detection of COVID-19 fake news showed 98% accuracy.[39] In similar terms, the U.K. NHS joined forces with Google, Twitter, Instagram, and Facebook to provide accurate information about COVID-19 and to prevent the spread of fake news.[40]

CONCLUSION

The COVID-19 outbreak has highlighted the need to target infodemics that can be as detrimental as an actual epidemic. It will be a multifactorial fight because we will need to increase health literacy in the population, establish a stronger presence of national health agencies in social media, develop better detection tools, and enable action by governments, as Peru has implemented. More research should go into the use of artificial intelligence to better respond to the ever-increasing spread of fake news via social media. However, we all need to remember that it is in our hands to share or not to share, before truly verifying such information. Like all news, fake news has an author, most of the times unknown. Let us be sure that we are not the authors of such news.
  13 in total

1.  COVID-19 and Fake News in the Dominican Republic.

Authors:  Leandro Tapia
Journal:  Am J Trop Med Hyg       Date:  2020-06       Impact factor: 2.345

2.  Negative impact of social media panic during the COVID-19 outbreak in India.

Authors:  Abhay B Kadam; Sachin R Atre
Journal:  J Travel Med       Date:  2020-05-18       Impact factor: 8.490

3.  The fundamental association between mental health and life satisfaction: results from successive waves of a Canadian national survey.

Authors:  Patrick Lombardo; Wayne Jones; Liangliang Wang; Xin Shen; Elliot M Goldner
Journal:  BMC Public Health       Date:  2018-03-12       Impact factor: 3.295

4.  2019-nCoV, fake news, and racism.

Authors:  Kazuki Shimizu
Journal:  Lancet       Date:  2020-02-11       Impact factor: 79.321

5.  Psychological Impact of the COVID-19 Pandemic on Health Care Workers in Singapore.

Authors:  Benjamin Y Q Tan; Nicholas W S Chew; Grace K H Lee; Mingxue Jing; Yihui Goh; Leonard L L Yeo; Ka Zhang; Howe-Keat Chin; Aftab Ahmad; Faheem Ahmed Khan; Ganesh Napolean Shanmugam; Bernard P L Chan; Sibi Sunny; Bharatendu Chandra; Jonathan J Y Ong; Prakash R Paliwal; Lily Y H Wong; Renarebecca Sagayanathan; Jin Tao Chen; Alison Ying Ying Ng; Hock Luen Teoh; Cyrus S Ho; Roger C Ho; Vijay K Sharma
Journal:  Ann Intern Med       Date:  2020-04-06       Impact factor: 25.391

6.  A Nationwide Survey of Psychological Distress among Italian People during the COVID-19 Pandemic: Immediate Psychological Responses and Associated Factors.

Authors:  Cristina Mazza; Eleonora Ricci; Silvia Biondi; Marco Colasanti; Stefano Ferracuti; Christian Napoli; Paolo Roma
Journal:  Int J Environ Res Public Health       Date:  2020-05-02       Impact factor: 3.390

7.  Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study.

Authors:  Alaa Abd-Alrazaq; Dari Alhuwail; Mowafa Househ; Mounir Hamdi; Zubair Shah
Journal:  J Med Internet Res       Date:  2020-04-21       Impact factor: 5.428

8.  Corona Virus (COVID-19) "Infodemic" and Emerging Issues through a Data Lens: The Case of China.

Authors:  Jinling Hua; Rajib Shaw
Journal:  Int J Environ Res Public Health       Date:  2020-03-30       Impact factor: 3.390

9.  Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: A cross-sectional study.

Authors:  Lijun Kang; Simeng Ma; Min Chen; Jun Yang; Ying Wang; Ruiting Li; Lihua Yao; Hanping Bai; Zhongxiang Cai; Bing Xiang Yang; Shaohua Hu; Kerang Zhang; Gaohua Wang; Ci Ma; Zhongchun Liu
Journal:  Brain Behav Immun       Date:  2020-03-30       Impact factor: 7.217

10.  Information Typology in Coronavirus (COVID-19) Crisis; a Commentary.

Authors:  Hasan Ashrafi-Rizi; Zahra Kazempour
Journal:  Arch Acad Emerg Med       Date:  2020-03-12
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  23 in total

1.  Assessment of Government Intervention Effectiveness in Scrubbing COVID-19 Pandemic and Its Pros and Cons on Educational Activities, the Case of Dire Dawa City.

Authors:  Gizaw Tesfaye Yifru; Bekele Yazie Derso; Alemayehu Zewdie Shibeshi
Journal:  J Multidiscip Healthc       Date:  2021-09-21

2.  Self-Medication in Peru During the COVID-19 Pandemic: How Harmless It Could Be?

Authors:  Jerry K Benites-Meza; Angela Mejia-Bustamante; Danixa Monzon-Monge; Diego Urrunaga-Pastor; Vicente A Benites-Zapata
Journal:  Int J Prev Med       Date:  2022-04-08

3.  [Infodemic: fake news and COVID-19 mortality trends in six Latin American countriesInfodemia: notícias falsas e tendências na mortalidade por COVID-19 em seis países da América Latina].

Authors:  Giselly Mayerly Nieves-Cuervo; Edgar F Manrique-Hernández; Angelo Fernando Robledo-Colonia; Ardila Elvia Karina Grillo
Journal:  Rev Panam Salud Publica       Date:  2021-05-13

4.  Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach.

Authors:  Jia Xue; Junxiang Chen; Ran Hu; Chen Chen; Chengda Zheng; Yue Su; Tingshao Zhu
Journal:  J Med Internet Res       Date:  2020-11-25       Impact factor: 5.428

5.  Succumbing to the COVID-19 Pandemic-Healthcare Workers Not Satisfied and Intend to Leave Their Jobs.

Authors:  Stephen X Zhang; Jiyao Chen; Asghar Afshar Jahanshahi; Aldo Alvarez-Risco; Huiyang Dai; Jizhen Li; Ross Mary Patty-Tito
Journal:  Int J Ment Health Addict       Date:  2021-01-07       Impact factor: 11.555

6.  [COVID-19 infodemic management strategies in South AmericaEstrategias adoptadas en América del Sur para la gestión de la infodemia relacionada con la COVID-19].

Authors:  Cristianne Aparecida Costa Haraki
Journal:  Rev Panam Salud Publica       Date:  2021-05-12

7.  Cost estimates of COVID-19 clinical management in Myanmar.

Authors:  Phyu Win Thant; Khin Thu Htet; Wit Ye Win; Ye Min Htwe; Thant Sin Htoo
Journal:  BMC Health Serv Res       Date:  2021-12-27       Impact factor: 2.655

8.  A cross-sectional survey assessing the influence of theoretically informed behavioural factors on hand hygiene across seven countries during the COVID-19 pandemic.

Authors:  K A Schmidtke; K G Drinkwater
Journal:  BMC Public Health       Date:  2021-07-21       Impact factor: 3.295

9.  Explanatory Model of Perceived Stress in the General Population: A Cross-Sectional Study in Peru During the COVID-19 Context.

Authors:  Alicia Boluarte-Carbajal; Alba Navarro-Flores; David Villarreal-Zegarra
Journal:  Front Psychol       Date:  2021-06-23

10.  Anxiety, Distress, and Turnover Intention of Healthcare Workers in Peru by Their Distance to the Epicenter during the COVID-19 Crisis.

Authors:  Jaime A Yáñez; Asghar Afshar Jahanshahi; Aldo Alvarez-Risco; Jizhen Li; Stephen X Zhang
Journal:  Am J Trop Med Hyg       Date:  2020-10       Impact factor: 3.707

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