What Went Wrong? Predictors of Contact Tracing Adoption in Italy during COVID-19 Pandemic

Guazzini, Andrea; Fiorenza, Maria; Panerai, Gabriele; Duradoni, Mirko

doi:10.3390/fi13110286

Cited by 15 publications

(8 citation statements)

References 64 publications

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“…In the end, two samples were involved in this study: the first came from the work of Marotta et al [21] (data were collected from 6 April to 12 April 2020) while the second sample was recruited between 23 October 2020 and 20 November 2020. Part of the data of this second sample were used in Guazzini et al [23].…”

Section: Sample and Proceduresmentioning

confidence: 99%

Through the Second Wave: Analysis of the Psychological and Perceptive Changes in the Italian Population during the COVID-19 Pandemic

Pesce

Guazzini

Duradoni

2022

IJERPH

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More than a year has passed since “patient 0” was found and COVID-19 is now an established reality that a lot of people have had to accept and coexist with. In Italy, the pandemic hit in “waves”, but the studies assessing the longitudinal impact of the pandemic in the general population are not many. In this paper, we compared data collected during the first wave with data gathered during the second one, so that we can provide insights about the Italian population’s psychological adaptation to the pandemic also by comparing them with pre-pandemic normative scores. From our results, it seemed that people were seeking a compromise: indeed, despite the still-relevant risk perception, people apparently “learned” how to deal with the pandemic as indicated by an increase in self-efficacy and a more internal locus of control.

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Section: Sample and Proceduresmentioning

confidence: 99%

Through the Second Wave: Analysis of the Psychological and Perceptive Changes in the Italian Population during the COVID-19 Pandemic

Pesce

Guazzini

Duradoni

2022

IJERPH

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“…Recent evaluation of mHealth apps concerning COVID-19 reported higher adoption of contact tracing systems is essential to lower the number of infections ( 16 ). Therefore, the success of a COVID-19 mHealth app depends on the adoption of the population.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the success of a COVID-19 mHealth app depends on the adoption of the population. Nevertheless, low uptake rates were experienced in many countries ( 16 ). Many COVID-19 mHealth apps initiatives have not been as successful as originally expected in many countries.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 Mobile Health Apps: An Overview of Mobile Applications in Indonesia

Sujarwoto

Augia

Dahlan

et al. 2022

Front. Public Health

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BackgroundMobile health applications (mHealth apps) have been widely used for various purposes for mitigating the COVID-19 pandemic, such as self-assessment, contact tracing, disseminating information, minimizing exposure, and reducing face-to-face health consultation. The objective of this study is to systematically review COVID-19 related mHealth apps and highlight gaps to inform the development of future mHealth initiatives in Indonesia.MethodsA systematic search strategy using a PRISMA flowchart was used to identify mHealth apps available in Google Play and Apple Play stores. We searched mHealth apps using certain specific terms related to COVID-19 outbreaks. The inclusion criteria were apps-based smartphone users related to COVID-19 using local language, free of cost, available in the Google Play and Apple Play Stores, and supported by the Indonesian government. We excluded games, apps on infectious diseases unrelated to COVID-19 specifically, and apps with non-Bahasa Indonesia (Indonesian language). The selected mHealth apps were assessed based on two measures: (1) the WHO guidelines on digital health intervention and (2) the four dimensions of the mHealth technology fit framework. In addition, user feedback from experienced and non-experienced users was conducted to evaluate four dimensions of the apps.ResultsA total of 339 mHealth apps were generated from the initial search, remaining seven selected apps that met inclusion criteria. The results highlighted that mHealth apps reviewed had still not been widely used by the general public. The applications were purposed to disseminate information, conduct a self-risk assessment, provide an online community forum, and telemedicine or teleconsultation regarding COVID-19. Data services, including data storage, aggregation, and data exchange, are available in most apps. The rarest function found was contact tracing and assisting health management and health workers, such as the availability of testing facilities, reporting test results, and prescribing medication. The main issues reported were the lack of data security and data privacy protection, integration and infrastructures, usability, and usefulness.ConclusionOur study highlighted the necessity to improve mHealth apps' functions related to assisting health workers and the function of digital contact tracing. An effort to increase public awareness regarding the use of mHealth is also necessary to streamline the function of this innovation. Policymakers must consider usefulness, usability, integration, and infrastructure issues to improve their mHealth function.

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“…Given the high infectiousness and mortality of COVID-19, from the beginning of the pandemic, nations have tried to reduce the virus’ transmission through a range of measures, such as lockdowns (business and school closure; restricting interpersonal contact), social distancing, mask-wearing, hand hygiene, widespread testing of populations, and contact tracing [ 3 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 ]. In the first months of 2021, the prompt development of COVID-19 vaccines provided us with a new, effective way of dealing with the COVID-19 virus.…”

Section: Introductionmentioning

confidence: 99%

The Long-COVID Experience Changed People’s Vaccine Hesitancy but Not Their Vaccination Fear

Duradoni

Gursesli

Materassi

et al. 2022

IJERPH

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Starting in early 2020, the COVID-19 pandemic has been responsible, worldwide, for millions of deaths and patients with long-COVID syndrome. In an attempt to stop the spread of the virus, the blanket administration of COVID-19 vaccines proved to be the most effective measure, yet the existence and availability of functional vaccines did not and, still, do not ensure the willingness and intent of people to be vaccinated. This study assessed the similarities and differences in vaccine fears and vaccine hesitancy through between clusters of subjects: people that were not infected with COVID-19, people that had COVID but did not develop long-lasting symptoms, and people that were infected with COVID and developed long-COVID syndrome. From the sample of 1111 Italian people, it was found that individuals who experienced mild symptoms showed higher vaccine hesitancy (confidence, complacency, and collective responsibility) than those who did not contract COVID-19. People affected by long-COVID showed a lower overall hesitancy than individuals who had COVID-19 without incurring long-lasting symptoms and, thus, essentially resembled people who had no experience of COVID-19 infection in terms of the vaccine hesitancy scores. Vaccine fear remained unchanged across all three of the examined clusters.

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What Went Wrong? Predictors of Contact Tracing Adoption in Italy during COVID-19 Pandemic

Cited by 15 publications

References 64 publications

Through the Second Wave: Analysis of the Psychological and Perceptive Changes in the Italian Population during the COVID-19 Pandemic

Through the Second Wave: Analysis of the Psychological and Perceptive Changes in the Italian Population during the COVID-19 Pandemic

COVID-19 Mobile Health Apps: An Overview of Mobile Applications in Indonesia

The Long-COVID Experience Changed People’s Vaccine Hesitancy but Not Their Vaccination Fear

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