ArticleChaos, solitons, and fractals2020
On forecasting the spread of the COVID-19 in Iran: The second wave.
Article in Chaos, solitons, and fractals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed.
- Dynamics and Co-movements Between the COVID-19 Outbreak and the Stock Market in Latin American Countries: An Evaluation Based on the Wavelet-Partial Wavelet Coherence Model.Evaluation review · 2023Article
- Evaluation of Health Care Professionals' Knowledge, Attitudes, and Practice to Prevent the Pandemic Spread of COVID-19: A Questionnaire-Based Cross-Sectional Study from Abha, Saudi Arabia.Healthcare (Basel, Switzerland) · 2023Article
- Temporal dynamic characteristics of human monkeypox epidemic in 2022 around the world under the COVID-19 pandemic background.Frontiers in public health · 2023Article
- Characteristics and outcome of infants born to mothers with SARS-CoV-2 infection during the first three waves of COVID-19 pandemic in northern Iran: A prospective cross-sectional study.Annals of medicine and surgery (2012) · 2022Article
- Optimizing COVID-19 vaccination programs during vaccine shortages.Infectious Disease Modelling · 2022Article
- Network modeling-based identification of the switching targets between pyroptosis and secondary pyroptosis.Chaos, solitons, and fractals · 2022Article
- Mathematical Analysis of Two Waves of COVID-19 Disease with Impact of Vaccination as Optimal Control.Computational and mathematical methods in medicine · 2022Article
- Integro-differential approach for modeling the COVID-19 dynamics - Impact of confinement measures in Italy.Computers in biology and medicine · 2021Article
- Predicting the trend of indicators related to Covid-19 using the combined MLP-MC model.Chaos, solitons, and fractals · 2021Article
- Spatial distribution of COVID-19 cases, epidemic spread rate, spatial pattern, and its correlation with meteorological factors during the first to the second waves.Journal of infection and public health · 2021Article
- Modeling third waves of Covid-19 spread with piecewise differential and integral operators: Turkey, Spain and Czechia.Results in physics · 2021Article
- Assessing the impact of data-driven limitations on tracing and forecasting the outbreak dynamics of COVID-19.Computers in biology and medicine · 2021Article
- Integrating Digital Technologies and Public Health to Fight Covid-19 Pandemic: Key Technologies, Applications, Challenges and Outlook of Digital Healthcare.International journal of environmental research and public health · 2021Review
- Article
- COVID-19: The Second Wave is not due to Cooling-down in Autumn.Journal of epidemiology and global health · 2021Article
- Adherence to COVID-19 Prevention Measures in the Democratic Republic of the Congo, Results of Two Consecutive Online Surveys.International journal of environmental research and public health · 2021Article
- TLCoV- An automated Covid-19 screening model using Transfer Learning from chest X-ray images.Chaos, solitons, and fractals · 2021Article
- Article
- Towards Providing Effective Data-Driven Responses to Predict the Covid-19 in São Paulo and Brazil.Sensors (Basel, Switzerland) · 2021Article
- Forecasting COVID-19 pandemic using optimal singular spectrum analysis.Chaos, solitons, and fractals · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the common misconceptions about COVID-19 disease is to assume that we will not see a recurrence after the first wave of the disease has subsided. This completely wrong perception causes people to disregard the necessary protocols and engage in some misbehavior, such as routine socializing or holiday travel. These conditions will put double pressure on the medical staff and endanger the lives of many people around the world. In this research, we are interested in analyzing the existing data to predict the number of infected people in the second wave of out-breaking COVID-19 in Iran. For this purpose, a model is proposed. The mathematical analysis corresponded to the model is also included in this paper. Based on proposed numerical simulations, several scenarios of progress of COVID-19 corresponding to the second wave of the disease in the coming months, will be discussed. We predict that the second wave of will be most severe than the first one. From the results, improving the recovery rate of people with weak immune systems via appropriate medical incentives is resulted as one of the most effective prescriptions to prevent the widespread unbridled outbreak of the second wave of COVID-19.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.