The Role of Electronic Health in the Coronavirus Disease Crisis: A Systematic Review of Documents

Amiri, Parastoo; Bahaadinbeigy, Kambiz

doi:10.30699/fhi.v9i1.223

Cited by 6 publications

(8 citation statements)

References 53 publications

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“…According to the World Health Organization, COVID-19 highlighted on December 30, 2019 in Wuhan, China, and quickly infected many Chinese people [ 4 ]. On January 30, 2020, WHO identified corona as a global public health concern [ 5 ]. The family of coronaviruses is the cause of a variety of well-known diseases occurring in humans, ranging from common cold to Middle Respiratory Syndrome (MERS) and Acute Severe Respiratory Syndrome (SARS), and currently COVID-19 as a new problematic member of this family [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Epidemiological characteristics and outcomes of COVID-19 in diabetic versus non-diabetic patients

Moftakhar¹,

Moftakhar

Piraee

et al. 2021

Int J Diabetes Dev Ctries

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Objectives and background People with diabetes (PWD) are one of the high-risk groups for coronavirus disease 2019 (COVID-19) infection, increasing the disease mortality. This study was aimed to compare the epidemiological characteristics and outcomes of COVID-19 in diabetic versus non-diabetic individuals. Methods In this retrospective observational study, the epidemiological characteristics of the two groups of diabetic ( n =1365) and non-diabetic ( n =15,026) subjects with definite diagnosis of COVID-19 in the southwestern region of Iran were compared. All clinical signs and comorbidities of the patients were evaluated. Chi-square test was used to examine the differences in qualitative variables between diabetic and non-diabetic groups. Results Of 16,391 enrolled subjects, 8.3% had diabetes, and 28.3% of COVID-19-related deaths occurred in diabetics. Also, the mortality rate among diabetics was reported as 14.3%. The average age of diabetic patients and non-diabetic patients was 59 and 37 years, respectively. The odds of fever, cough, shortness of breath, headache, and underlying diseases, such as hypertension, cardiovascular disease, chronic lung disease, immune deficiency, and hyperlipidemia, were significantly higher in diabetic patients than in non-diabetics. Conclusion Diabetes is associated with increased mortality rate in patients with COVID-19 and is considered as a major risk factor for COVID-19 infection, posing a major public health challenge for health policymakers in managing and controlling the disease. Therefore, development of prevention and treatment strategies aimed at reducing COVID-19 morbidity and mortality in diabetes patients is of significant importance.

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Section: Introductionmentioning

confidence: 99%

Epidemiological characteristics and outcomes of COVID-19 in diabetic versus non-diabetic patients

Moftakhar¹,

Moftakhar

Piraee

et al. 2021

Int J Diabetes Dev Ctries

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“…Infectious diseases have long been considered as one of the health problems of human societies and many efforts have been made to treat and control them (1). However, emerging viral-infectious diseases are still a major challenge in the 21st century (2). According to the World Health Organization, Novel Coronavirus Disease (COVID-19) started on December 30, 2019 in Wuhan, China, and quickly infected many people in the country (3).…”

Section: Introductionmentioning

confidence: 99%

“…In order to prevent the spread of this virus, people with the disease with clinical signs of cough, shortness of breath, fever and chills (6). However, asymptomatic patients who were in the incubation period were the most important carriers of the disease (2). Due to the fact that in the infection transmission cycle, there are three components include (i) exist of a microorganism, (ii) host, and (iii) the route of transmission.…”

Section: Introductionmentioning

confidence: 99%

Exploration of Factors of Failure to Comply With Home Quarantine During the Outbreak of the COVID-19 Disease in Iran: A Qualitative Study

Sharhani¹,

Mohammadi²,

Zarea³

et al. 2022

MJMHS

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Introduction: Preventive self-care behaviors such as home quarantine are very important in preventing COVID-19. The aim of this study was to explore the factors of non-compliance with home quarantine during the outbreak of COVID-19. Methods: This study was conducted with a qualitative content analysis approach in 2020 in Iran. In order to collect information, 24 samples were selected by purposive sampling method and semi-structured interviews were conducted with them. Interviews were recorded, transcribed and the collected data were analyzed using the contractual content analysis approach using Elo and Kingas method. Results: Analyzing the data revealed in six main themes and fourteen main categories, including: necessities for everyday activities and living (with subthemes providing the necessities of life, forced by work/job insecurity, need for fun/entertainment, sports), mental instability in adults/children (with subthemes of mental states, restlessness of children), spiritual and religious beliefs (with subthemes of belief in fate and immunity/disease immunity, right to know death), managerial problems/confusion (with subthemes of government mismanagement, expectations from the government, economic turmoil), marital incompatibility (with subthemes domestic violence), adherence to socio-cultural patterns (with the subthemes of sociocultural factors). Conclusion: According to the results, it should be noted that several factors are contributing to non-compliance with home quarantine that it is necessary for the relevant authorities to take measures to remove these obstacles and provide the necessary facilities.

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“…5 Therefore, the most effective measures are to eliminate the source of infection, to cut off the transmission route and to protect the susceptible. 6 Prevention and control became the most urgent task in Iran during the early days of the sudden outbreak of the SARS-CoV-2 virus. 7,8 In this regard, the government has invested large amounts of human capital and material resources.…”

mentioning

confidence: 99%

“…3,4 When and how to relax the restrictions have become items of strong debate between health politicians and other stakeholders. According to the WHO's COVID-19 daily situation report and a recent study, 5,6 community spread and clusters have predominantly contributed to most SARS-CoV-2 transmission. Therefore, the question facing policy makers remains: if restrictions are relaxed, will we be ready to deal with a repeated epidemic wave(s) in our community?…”

mentioning

confidence: 99%

Battle with COVID-19 in Iran: What lessons can be learned from the implementation of response strategies so far?

Amir-Behghadami

Janati

Gholizadeh

2020

Infect. Control Hosp. Epidemiol.

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The cases of Veneto and Lombardia, contemporaneously affected neighboring regions in Italy, provide 2 telling examples with strikingly different endings. As of April 15, 2020, a total of 44,107 tests per million people have been performed in Veneto, which is double the number of tests conducted in Lombardia (Fig. 1). Indeed, in contrast to the neighboring region, Veneto adopted a large-scale population screening model at the beginning of the outbreak, allowing home isolation for a larger number of mild (or asymptomatic) cases (85% vs 60% of active cases according to the last estimates). 4 This strategy may have avoided overwhelming the health system, with a consequent positive impact on the case fatality rate in Veneto, which is currently almost 3 times lower than that in Lombardia. In fact, in line with previous modeling predictions, 5 Lombardia did run out of intensive care beds at the end of March, resulting in the need to transfer critical patients to other Italian regions or European countries. Furthermore, between one-half and one-third of the daily national deaths are still being recorded in this region at this time. At a time when Italy is facing its biggest challenge since World War II, the 'Veneto model' indicates that early mass screening for SARS-CoV-2 can make a positive difference, and it should be recommended to other countries responding to the COVID-19 pandemic.

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The Role of Electronic Health in the Coronavirus Disease Crisis: A Systematic Review of Documents

Cited by 6 publications

References 53 publications

Epidemiological characteristics and outcomes of COVID-19 in diabetic versus non-diabetic patients

Epidemiological characteristics and outcomes of COVID-19 in diabetic versus non-diabetic patients

Exploration of Factors of Failure to Comply With Home Quarantine During the Outbreak of the COVID-19 Disease in Iran: A Qualitative Study

Battle with COVID-19 in Iran: What lessons can be learned from the implementation of response strategies so far?

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