The novel coronavirus disease (COVID-19) outbreak trends in mainland China: a joinpoint regression analysis of the outbreak data from January 10 to February 11, 2020

Hasan, Syed Mahfuz Al; Saulam, Jennifer; Kanda, Kanae; Hirao, Tomohiro

doi:10.2471/blt.20.253153

Cited by 14 publications

(11 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To flatten the curve of infection spread, alongside preventive measures, monitoring the trend of infection is of prime importance to avoid consequences associated with an epidemic threat. What is happening at the moment will better serve to what needs to be done [7]. To avoid the spread of infection, the Saudi government took remarkable measures at all levels.…”

Section: Introductionmentioning

confidence: 99%

Knowledge and practice regarding prevention of COVID-19 among the Saudi Arabian population

Siddiqui

Alshammary

Amin

et al. 2020

WOR

View full text Add to dashboard Cite

BACKGROUND: Prevention is the best way to manage a pandemic like COVID-19. The World Health Organization has issued public advice to create awareness by providing people knowledge to prevent/protect them from COVID-19. Hence, the present study was planned to assess knowledge of prevention and its practical use amongst samples from the Saudi Arabian population. It can be used to bring awareness among the masses not only in expanding their knowledge about COVID-19 but also on how to enforce a practicing behavior in relation to the prevention of COVID-19. The study is among the pioneer studies on the issue related to knowledge and practice of the prevention of COVID-19 among Saudis and foreign nationals residing in Saudi Arabia. OBJECTIVE: The prime objective of this study is to examine the existence of knowledge among the Saudi and non-Saudi nationals about COVID-19 and its impact on their behavior to practice the protocols to prevent the disastrous infection of COVID-19. This study has also examined how the residents in Saudi Arabia react to the methods and protection measures adopted by the government for their dominions to eradicate the spread of COVID-19. METHODS: The study used a survey-based methodology and data was collected from Saudi nationals as well as expatriates living and working in five different regions of Saudi Arabia. Non-probability snowball sampling was used to reach and select the population of the current study. A self-designed, structured, and validated questionnaire was electronically distributed among the respondents. SPSS version 21 was used to analyze the data of the current study. RESULTS: Out of the 443 respondents, 356 respondents (84%) knew they had to wash their hands for 20 seconds and did this as well, 303 respondents (75%) knew that sneezing or coughing into the arm/elbow can prevent the spread of COVID-19 and were doing this as well, 357 respondents (82%) knew that COVID-19 can be transferred by shaking hands and avoided this, 333 respondents (79%) knew that they had to maintain a safe distance of at least one meter and kept this distance, 315 respondents (76%) knew that touching one’s face can transfer the virus and avoid this, and 414 respondents (95%) knew that staying at home can decrease the chances of getting infected. The relationship between different regions and most of the knowledge-based and practice-based questions was significant (p < 0.05). CONCLUSION: Results reveal that there is a significant relationship between knowledge and practice, but the strength of association is weak. It was found that knowledge and practice of COVID-19 was followed differently in the five regions of Saudi Arabia and the level of education of the respondents influenced their choice of practice to protect themselves from the effects of COVID-19. The study has contributed in the body of literature by examining the inter-relationship between knowledge and practice and their use in prevention of COVID-19 among the Saudi population.

show abstract

Section: Introductionmentioning

confidence: 99%

Knowledge and practice regarding prevention of COVID-19 among the Saudi Arabian population

Siddiqui

Alshammary

Amin

et al. 2020

WOR

View full text Add to dashboard Cite

show abstract

“…December 2019, the SARS-CoV-2 virus has now been transmitted worldwide (Al Hasan, 2020). While the global data available suffers from insurmountable problems (disparity in national institutions' recording conditions, political agendas, unequal socio-economic effects in the identification and treatment of cases, etc.…”

Section: Introductionmentioning

confidence: 99%

Economic globalization and the COVID-19 pandemic: global spread and inequalities

Jeanne¹,

Bourdin²,

Nadou³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The statistical technique used in this study shows that they can contribute in the prediction of COVID-19 infected cases in Morocco. During this epidemic several researchers have tried to predict the future using mathematical model [17][18][19][20][21][22][23]. But unfortunately to have more precision this type of prediction requires a lot of historical data.…”

Section: Discussionmentioning

confidence: 99%

Forecasting COVID-19 in Morocco

et al. 2020

View full text Add to dashboard Cite

The COVID-19 has become a public health emergency of international concern. As of April 26, 2020, this pandemic has caused in Morocco more than 4065 confirmed infections and more than 161 reported deaths. To mitigate this epidemic threat and act quickly, it is very important to monitor and analyze changing trends and predict what might happen in the future. The main objective of this paper is to develop a successful prediction. We used in this study at the end of each week the TBATS model to forecast confirmed cases. This model is calculated on the basis of the daily historical data. From the results obtained we can conclude that the predictions obtained are close to reality and for the peak of this epidemic is not yet identified. The obtained results shows that this epidemics will continue to grow. For our forecast from 04/27/2020 to 05/03/2020 we estimate that the number of affected cases will achieve 4367 cases.

show abstract

The novel coronavirus disease (COVID-19) outbreak trends in mainland China: a joinpoint regression analysis of the outbreak data from January 10 to February 11, 2020

Cited by 14 publications

References 13 publications

Knowledge and practice regarding prevention of COVID-19 among the Saudi Arabian population

Knowledge and practice regarding prevention of COVID-19 among the Saudi Arabian population

Economic globalization and the COVID-19 pandemic: global spread and inequalities

Forecasting COVID-19 in Morocco

Contact Info

Product

Resources

About