COVID‐19 patients and contacted person awareness about home quarantine instructions

Elgendy, Marwa O.; Elmawla, Mohamed N Abd; Hamied, Ahmed M Abdel; Gendy, Sara O El; Abdelrahim, Mohamed

doi:10.1111/ijcp.13810

Cited by 26 publications

(32 citation statements)

References 19 publications

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“…This indicates the high awareness of the Egyptian people about the COVID‐19 disease by the online information, social media and follow‐up by the Ministry of Health to COVID‐19 patients and their contacting persons. 20 …”

Section: Discussionmentioning

confidence: 99%

“…This indicates the high awareness of the Egyptian people about the COVID-19 disease by the online information, social media and follow-up by the Ministry of Health to COVID-19 patients and their contacting persons. 20 Most of the participants had high confidence about the vital role of the government and international organisations to overcome the pandemic. The majority of them, around (92%), trusted the Egyptian ministry of health and WHO.…”

Section: Discussionmentioning

confidence: 99%

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Role of repeating quarantine instructions and healthy practices on COVID‐19 patients and contacted persons to raise their awareness and adherence to quarantine instructions

et al. 2021

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Objective This study aimed to develop a model evaluating the role of repeating quarantine instructions and healthy practices among COVID‐19 patients and contact persons at‐home quarantine and to evaluate the instructions' adequacy in decreasing the rate of disease spread with better clinical outcomes. Methods A structured questionnaire was distributed to COVID‐19 patients (mild and moderate cases isolated at home) and contacting persons during May and June 2020. Data were collected using a structured online survey collected every five days for three times from each participant. The questionnaire was divided into three sections, consisting of 35 questions for a total possible score of 0 to 35. Results A total of 150 valid participant's responses out of 304 participants were obtained. Among the150 total participants, 88 were infected with COVID‐19, and 62 were contacting with COVID‐19 patients. The improvement in the score of awareness and adherence to instructions for the infected patients and their contacts was significantly high in the third questionnaire than in the second and the first questionnaire. The people who live in cities followed the instructions provided at the home quarantine better than those who live in the country. The city patients improved in symptoms better than the country patients. Also, patients followed the instructions better than their contacts. City females adhered to the instructions better than city males. Young people had high awareness score than older people. City people are committed to taking both immune boosters supplements as prophylaxis or prescribed medications on time for treatment more than country people. Conclusion This study offers useful insights into factors associated with the role of repeating quarantine instructions and healthy practices to overcome the COVID‐19 pandemic. So, repeating the instructions is important to increase adherence to the instructions, decrease the rate of disease progression and decrease the spread of the infection.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Role of repeating quarantine instructions and healthy practices on COVID‐19 patients and contacted persons to raise their awareness and adherence to quarantine instructions

et al. 2021

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“…That could significantly affect the number of confirmed cases. Moreover from Figures 3 and 4, most of the countries have started their second cycle of the SARS‐CoV‐2 virus spread but it seems controllable because of the increases in the awareness of the disease except in Europe, as shown from Italy and the USA 4,21 . Therefore, the social distancing as a variable could only affect the model of spread, severity and mortality of any pandemic when the social distancing process ends earlier than it should be or not properly achieved, for example, Denver mortality double‐humped curve of the Spanish flu pandemic in 1918 22 ; Where the outbreak started to flatten and progress to end when social distancing was properly achieved but, when they ended social distancing process and resumed normal life early, another stronger pandemic with higher mortality occurs in Denver, the USA in 1918 22 .…”

Section: Resultsmentioning

confidence: 99%

A study of the possible factors affecting COVID‐19 spread, severity and mortality and the effect of social distancing on these factors: Machine learning forecasting model

Zawbaa

El-Gendy

Saeed

et al. 2021

Int J Clinical Practice

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Backgrounds SARS‐CoV‐2 is affecting different countries all over the world, with significant variation in infection‐rate and death‐ratio. We have previously shown a presence of a possible relationship between different variables including the Bacillus Calmette–Guérin (BCG) vaccine, average age, gender, and malaria treatment, and the rate of spread, severity and mortality of COVID‐19 disease. This paper focuses on developing machine learning models for this relationship. Methods We have used real‐datasets collected from the Johns Hopkins University Center for Systems Science and Engineering and the European Centre for Disease Prevention and Control to develop a model from China data as the baseline country. From this model, we predicted and forecasted different countries' daily confirmed‐cases and daily death‐cases and examined if there was any possible effect of the variables mentioned above. Results The model was trained based on China data as a baseline model for daily confirmed‐cases and daily death‐cases. This machine learning application succeeded in modelling and forecasting daily confirmed‐cases and daily death‐cases. The modelling and forecasting of viral spread resulted in four different regions; these regions were dependent on the malarial treatments, BCG vaccination, weather conditions, and average age. However, the lack of social distancing resulted in variation in the effect of these factors, for example, double‐humped spread and mortality cases curves and sudden increases in the spread and mortality cases in different countries. The process of machine learning for time‐series prediction and forecasting, especially in the pandemic COVID‐19 domain, proved usefulness in modelling and forecasting the end status of the virus spreading based on specific regional and health support variables. Conclusion From the experimental results, we confirm that COVID‐19 has a very low spread in the African countries with all the four variables (average young age, hot weather, BCG vaccine and malaria treatment); a very high spread in European countries and the USA with no variable (old people, cold weather, no BCG vaccine and no malaria). The effect of the variables could be on the spread or the severity to the extent that the infected subject might not have symptoms or the case is mild and can be missed as a confirmed‐case. Social distancing decreases the effect of these factors.

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“…Children are much easier infected at school and playgrounds, 25 much less aware of the proper protection measures about SARS‐CoV‐2 infection spread 26 and much less aware of the proper way to handle COVID‐19 disease patients at home. 27 Hence, children can serve as a great source of infection to their families since mostly they have asymptomatic SARS‐CoV‐2 infection. 25 , 26 Several studies and consensus have been published describing the proper diagnosis, management and prevention of COVID‐19 disease.…”

Section: Discussionmentioning

confidence: 99%

Effect of age of COVID‐19 inpatient on the severity of the disease: A meta‐analysis

Chai

Li²,

Li³

et al. 2021

Int J Clin Pract

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Background Clinical symptoms of adults and paediatric inpatients with COVID‐19 disease are conflicting. This meta‐analysis was conducted to assess the effect of age of COVID‐19 inpatient on the severity of the disease. Methods A systematic literature search up to January 2021 was performed and 5 studies included 910 inpatients with COVID‐19 disease at the baseline of the study; 773 of them were adult inpatients, and 137 of them were paediatric inpatients. They reported a comparison between adults and children with COVID‐19 in the level of symptomatic severity, clinical features, computed tomography (CT) results and laboratory results. Odds ratio (OR) with 95% confidence intervals (CIs) were calculated assessing the effect of age of COVID‐19 inpatient on the severity of the disease using the dichotomous method with a random or fixed‐effect model. Results Adults with COVID‐19 disease had significantly lower number of mild cases (OR, 0.18; 95% CI, 0.04‐0.77, P = .02); higher number severe cases (OR, 4.90; 95% CI, 2.03‐11.83, P < .001); higher number of cases with fever (OR, 4.14; 95% CI, 2.31‐7.43, P < .001); and higher number of cases with CT positive COVID‐19 disease (OR, 2.04; 95% CI, 1.17‐3.55, P = .001) compared with children. However, no significant difference was found between adults and children in number of cases with shortness of breath (OR, 1.44; 95% CI, 0.41‐5.04, P = .57); dry cough (OR, 1.77; 95% CI, 0.64‐4.93, P = .27); leukopenia (OR, 0.89; 95% CI, 0.47‐1.66, P = .71); lymphopenia (OR, 0.96; 95% CI, 0.49‐1.88, P = .91); high platelets (OR, 0.41; 95% CI, 0.17‐1.02, P = .05); and high D‐dimer (OR, 0.82; 95% CI, 0.43‐1.56, P = .54). Conclusions Adults with COVID‐19 disease have a much higher level of symptomatic severity, fever and CT‐positive COVID‐19 disease than children. However, as shown in our results, the laboratory data were similar in both groups.

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COVID‐19 patients and contacted person awareness about home quarantine instructions

Cited by 26 publications

References 19 publications

Role of repeating quarantine instructions and healthy practices on COVID‐19 patients and contacted persons to raise their awareness and adherence to quarantine instructions

Role of repeating quarantine instructions and healthy practices on COVID‐19 patients and contacted persons to raise their awareness and adherence to quarantine instructions

A study of the possible factors affecting COVID‐19 spread, severity and mortality and the effect of social distancing on these factors: Machine learning forecasting model

Effect of age of COVID‐19 inpatient on the severity of the disease: A meta‐analysis

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