A Systematic Review of Smartphone Applications Available for Corona Virus Disease 2019 (COVID19) and the Assessment of their Quality Using the Mobile Application Rating Scale (MARS)

Background: In December 2019, a novel corona virus (SARS-CoV-2) causes atypical pneumonia now known as “corona virus disease 2019” (COVID-19) emerged in Wuhan, China and spread rapidly throughout the world. Objective: The purpose of the present study was to identify the different plausible routes of transmission of SARS-CoV-2 into the human body. Methodology: We searched electronic databases (MEDLINE, EMBASE, Science Citation Index and Chinese database) checked documents and references. We included all the studies regarding potential routes of transmission of SARS-CoV-2. All reviewers independently screened titles and abstracts, assessed studies for inclusion, appraised quality, and extracted data. Result: SARS-CoV-2 has been found to have higher level of transmissibility than other two pathogenic CoVs. Sustained human to human transmission of SARS-CoV-2 has already been established though the exact route of transmission is yet to be determined. Similar to other CoVs, respiratory droplet and contact with contaminated surfaces are considered as principle route of transmission of SARS-CoV-2 whereas aerosol, feco-oral, perinatal, ocular surface and transfusion transmissions are the plausible route of spreading of this highly pathogenic CoVs. Conclusion: In the current review, we summarize the potential route of transmission of SARS-CoV-2 in the light of previous SARS-CoV and MERS-CoV outbreaks to solidify the scientific basis on which important decisions can be made. Bangladesh Journal of Infectious Diseases, April 2020;7(suppl_1):S18-S31

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A systematic review of etiology, epidemiology, clinical manifestations, image findings, and medication of 2019 Corona Virus Disease-19 in Wuhan, China

Medicine ◽

10.1097/md.0000000000022688 ◽

2020 ◽

Vol 99 (42) ◽

pp. e22688

Author(s):

Jia Xu ◽

Xue-Ping Ma ◽

Long Bai ◽

Miao Wang ◽

Wu Deng ◽

...

Keyword(s):

Systematic Review ◽

Virus Disease ◽

Clinical Manifestations ◽

Corona Virus

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Issues for conducting meta-analyses in COVID-19. Commentary on “Prevalence and severity of corona virus disease 2019 (COVID-19): A systematic review and meta-analysis’’

Journal of Clinical Virology ◽

10.1016/j.jcv.2020.104389 ◽

2020 ◽

Vol 128 ◽

pp. 104389

Author(s):

Mohammad Etoom ◽

Sofian Alwardat ◽

Mohammad Alwardat

Keyword(s):

Systematic Review ◽

Virus Disease ◽

Meta Analysis ◽

Corona Virus ◽

Meta Analyses

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Tingkat Kecemasan Radiografer Dalam Memberikan Pelayanan Radiologi Pada Masa Pandemi Covid-19 Di Rumah Sakit Baitul Hikmah Kendal

Jurnal Ilmu dan Teknologi Kesehatan ◽

10.33666/jitk.v12i2.409 ◽

2021 ◽

Vol 12 (2) ◽

Author(s):

Indah Sulistyowati ◽

Lucky Restyanti Wahyu Utami

Keyword(s):

Ct Scan ◽

Rating Scale ◽

Virus Disease ◽

Corona Virus

Salah satu tenaga kesehatan yang berperan sebagai garda terdepan dalam wabah Covid-19 adalah radiografer, yaitu dengan melakukan pemeriksaan penunjang radiologi. Pemeriksaan radiologi yang digunakan untuk menunjang diagnosa corona virus disease 2019 diantaranya adalah pemeriksaan foto thorax dan CT scan thorax. Faktor psikologis yang dialami oleh tenaga kesehatan disaat pandemi corona virus disease 2019 memunculkan kecemasan mengenai kesehatan diri sendiri dan keluarga. Dampak kecemasan yang dialami oleh tenaga kesehatan dapat berpotensi mengganggu bahkan sampai mematikan pelayanan kesehatan dan akan mempengaruhi penanganan pandemi Covid-19. Tujuan penelitian ini yaitu untuk mengetahui Tingkat Kecemasan Radiografer Dalam Memberikan Pelayanan Radiologi Pada Masa Pandemi Covid-19 Di Rumah Sakit Baitul Hikmah Kendal. Jenis penelitian yang digunakan dalam penelitian ini adalah penelitian deskriptif yang dilakukan dengan tujuan untuk mendiskripsikan atau menggambarakan fakta-fakta mengenai populasi secara sistematis, dan akurat. Populasi dalam penelitian ini adalah semua radiografer di Rumah Sakit Baitul Hikmah Kendal. Sampel dalam penelitian ini adalah semua radiografer di Rumah Sakit Baitul Hikmah Kendal sejumlah 4 orang. Pengumpulan data dengan menggunakan kuesioner Zung-Self Anxiety Rating Scale (ZSAS). Analisa data menggunakan analisis univariat yang menghasilkan distribusi dan persentase dari tiap variabel. Dari hasil penelitian didapatkan bahwa seluruh responden tidak ada kecemasan dalam memberikan pelayanan radiologi pada masa pandemi Covid-19 yaitu sebanyak 4 orang (100%). Saran yang dapat diberikan adalah perlunya dukungan dari berbagai pihak baik pimpinan, keluarga dan sesama tenaga kesehatan tak terkecuali diri sendiri untuk dapat mengurangi tingkat kecemasan radiografer sebagai salah satu garda terdepan dalam mengahadapi wabah Covid 19. Kata kunci : tingkat kecemasan, pelayanan radiologi, covid-19

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Risk factors for severe corona virus disease 2019 (COVID-19) patients : a systematic review and meta analysis

10.1101/2020.03.30.20047415 ◽

2020 ◽

Cited By ~ 18

Author(s):

Lizhen Xu ◽

Yaqian Mao ◽

Gang Chen

Keyword(s):

Risk Factors ◽

Systematic Review ◽

Virus Disease ◽

Meta Analysis ◽

High Body Mass Index ◽

Elderly Male ◽

Corona Virus ◽

Laboratory Test Results ◽

Male Patients ◽

Underlying Diseases

AbstractImportanceWith the increasing number of infections for COVID-19, the global health resources are deficient. At present, we don’t have specific medicines or vaccines against novel coronavirus pneumonia (NCP) and our assessment of risk factors for patients with severe pneumonia was limited. In order to maximize the use of limited medical resources, we should distinguish between mild and severe patients as early as possible.ObjectiveTo systematically review the evidence of risk factors for severe corona virus disease 2019 (COVID-19) patients.Evidence ReviewWe conducted a comprehensive search for primary literature in both Chinese and English electronic bibliographic data bases including China National Knowledge Infrastructure (CNKI), Wanfang, Weipu, Chinese Biomedicine Literature Database (CBM-SinoMed), MEDLINE (via PubMed), EMBASE, Cochrane Central Register, and Web of science. The American agency for health research and quality (AHRQ) tool were used for assessing risk of bias. Mata-analysis was undertaken using STATA version 15.0.Results20 articles (N=4062 participants) were eligible for this systematic review and meta-analysis. First in this review and meta-analysis, we found that elderly male patients with a high body mass index, high breathing rate and a combination of underlying diseases (such as hypertension, diabetes, cardiovascular disease, and chronic obstructive pulmonary disease) were more likely to develop into critically ill patients. second, compared with ordinary patients, severe patients had more significant symptom such as fever and dyspnea. Besides, the laboratory test results of severe patients had more abnormal than non-severe patients, such as the elevated levels of white-cell counts, liver enzymes, lactate dehydrogenase, creatine kinase, c-reactive protein and procalcitonin, etc, while the decreased levels of lymphocytes and albumin, etc.InterpretationThis is the first systematic review investigating the risk factors for severe corona virus disease 2019 (COVID-19) patients. The findings are presented and discussed by different clinical characteristics. Therefore, our review may provide guidance for clinical decision-making and optimizes resource allocation.Key PointsQuestionWhat are the risk factors for severe patients with corona virus disease 2019 (COVID-19)?FindingsFirst in this review and meta-analysis, we found that elderly male patients with a high body mass index, high breathing rate and a combination of underlying diseases were more likely to develop into critically ill patients. second, compared with ordinary patients, severe patients had more significant symptom such as fever and dyspnea. Last, we also found that the laboratory test results of severe patients had more abnormal than non-severe patients.MeaningThis review summaried the risk factors of severe COVID-19 patients and aim to provide a basis for early identification of severe patients by clinicians.

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Systematic Review of Mobile Applications to Monitor Symptoms of COVID-19 Using the Mobile Application Rating Scale (Preprint)

10.2196/preprints.36065 ◽

2022 ◽

Author(s):

Suzanna Schmeelk ◽

Alison Davis ◽

Qiaozheng Li ◽

Caroline Shippey ◽

Michelle Utah ◽

...

Keyword(s):

Systematic Review ◽

Mobile Application ◽

Rating Scale ◽

Mobile Apps ◽

World Health ◽

Symptom Monitoring ◽

Difficulty Breathing ◽

Health Organization ◽

Mhealth Apps

BACKGROUND Monitoring acute and long-term symptoms of COVID-19 is critical for personal and public health. Mobile health (mHealth) applications (apps) can be used to support symptom monitoring at the point of need for patients with COVID-19. OBJECTIVE To systematically review and evaluate mHealth apps for quality, functionality, and consistency with guidelines for monitoring symptoms of COVID-19. METHODS We conducted a systematic review of apps for COVID-19 symptom monitoring by searching in two major app stores. The final apps were independently assessed using the Mobile Application Rating Scale (MARS), IMS Institute for Healthcare Informatics functionality score, and guidelines from the Center for Disease Control and World Health Organization. Interrater reliability between the reviewers was calculated. RESULTS A total of 1,017 mobile apps were reviewed and 20 met the inclusion criteria. The majority of the apps (90%, n=18) were designed to track acute COVID-19 symptoms, and only two addressed long-term symptoms. Overall, the apps scored high on quality, with an overall MARS rating of 3.94. The most common functionality among all apps was the instruct function (95%, n=19). The most common symptoms included in the apps for tracking were: fever and dry cough (n=18), aches and pains (n=17), difficulty breathing (n=17), tiredness, sore throat, headache, loss of taste, or smell (n=16), and diarrhea (n=15). CONCLUSIONS mHealth apps designed to monitor symptoms of COVID-19 had high quality, but the majority of apps focused almost exclusively on acute symptoms. Future apps should also incorporate monitoring long-term symptoms of COVID-19. CLINICALTRIAL N/A

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A systematic review of the smartphone applications available for corona virus disease 2019 (COVID19) and their assessment using the mobile app rating scale (MARS)

10.1101/2020.07.02.20144964 ◽

2020 ◽

Cited By ~ 3

Author(s):

Samira Davalbhakta ◽

Shailesh Advani ◽

Shobhit Kumar ◽

Vishwesh Agarwal ◽

Samruddhi Bhoyar ◽

...

Keyword(s):

Systematic Review ◽

Mobile Applications ◽

Rating Scale ◽

Virus Disease ◽

Mobile App ◽

Assessment Tools ◽

Contact Tracing ◽

Mobile Platforms ◽

The Uk ◽

Google Play

AbstractThe global impact of COVID-19 pandemic has increased the need to rapidly develop and improve utilization of mobile applications across the healthcare continuum to address rising barriers of access to care due to social distancing challenges and allow continuity in sharing of health information, assist with COVID-19 activities including contact tracing, and providing useful information as needed. Here we provide an overview of mobile applications being currently utilized for COVID-19 related activities. We performed a systematic review of the literature and mobile platforms to assess mobile applications been currently utilized for COVID-19, and quality assessment of these applications using the Mobile Application Rating Scale (MARS) for overall quality, Engagement, Functionality, Aesthetics, and Information. Finally, we provide an overview of the key salient features that should be included in mobile applications being developed for future use. Our search identified 63 apps that are currently being used for COVID-19. Of these, 25 were selected from the Google play store and Apple App store in India, and 19 each from the UK and US. 18 apps were developed for sharing up to date information on COVID-19, and 8 were used for contact tracing while 9 apps showed features of both. On MARS Scale, overall scores ranged from 2.4 to 4.8 with apps scoring high in areas of functionality and lower in Engagement. Future steps should involve developing and testing of mobile applications using assessment tools like the MARS scale and the study of their impact on health behaviors and outcomes.

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