scholarly journals Assessment of the Impact of COVID-19 Infections Considering Risk of Infected People Inflow to the Region and the Vaccination Effect

2022 ◽  
Vol 37 (1) ◽  
pp. C-L42_1-9
Author(s):  
Setsuya Kurahashi ◽  
Haruki Yokomaku ◽  
Kohei Yashima ◽  
Hideyuki Nagai
Keyword(s):  
2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Mohammed A. Aba Oud ◽  
Aatif Ali ◽  
Hussam Alrabaiah ◽  
Saif Ullah ◽  
Muhammad Altaf Khan ◽  
...  

AbstractCOVID-19 or coronavirus is a newly emerged infectious disease that started in Wuhan, China, in December 2019 and spread worldwide very quickly. Although the recovery rate is greater than the death rate, the COVID-19 infection is becoming very harmful for the human community and causing financial loses to their economy. No proper vaccine for this infection has been introduced in the market in order to treat the infected people. Various approaches have been implemented recently to study the dynamics of this novel infection. Mathematical models are one of the effective tools in this regard to understand the transmission patterns of COVID-19. In the present paper, we formulate a fractional epidemic model in the Caputo sense with the consideration of quarantine, isolation, and environmental impacts to examine the dynamics of the COVID-19 outbreak. The fractional models are quite useful for understanding better the disease epidemics as well as capture the memory and nonlocality effects. First, we construct the model in ordinary differential equations and further consider the Caputo operator to formulate its fractional derivative. We present some of the necessary mathematical analysis for the fractional model. Furthermore, the model is fitted to the reported cases in Pakistan, one of the epicenters of COVID-19 in Asia. The estimated value of the important threshold parameter of the model, known as the basic reproduction number, is evaluated theoretically and numerically. Based on the real fitted parameters, we obtained $\mathcal{R}_{0} \approx 1.50$ R 0 ≈ 1.50 . Finally, an efficient numerical scheme of Adams–Moulton type is used in order to simulate the fractional model. The impact of some of the key model parameters on the disease dynamics and its elimination are shown graphically for various values of noninteger order of the Caputo derivative. We conclude that the use of fractional epidemic model provides a better understanding and biologically more insights about the disease dynamics.


2009 ◽  
Vol 17 (04) ◽  
pp. 685-712 ◽  
Author(s):  
G. THOMAS ◽  
E. M. LUNGU

The Sub-Sahara African region is inhabited by only 11% of the global population, but is home to 67% of the total HIV infected people and accounts for more than 70% of global AIDS deaths. In this study, we construct a mathematical model to investigate the effect of heavy alcohol consumption on the transmission and progression of HIV/AIDS, and to assess the impact of heavy drinkers on HIV/AIDS related social and health problems such as TB case load and number of orphans. Using demographic data for Botswana, we have shown that if more HIV/AIDS individuals had been de-addicted from heavy alcohol consumption, the severity of the HIV/AIDS epidemic and the impact of HIV/AIDS on the number of TB cases and orphans would have been significantly less than is the case currently. The study points to the vital need for counseling and education about the evils of heavy alcohol consumption and for alcohol de-addiction programmes.


Author(s):  
A. D. Cliff ◽  
M.R. Smallman-Raynor ◽  
P. Haggett ◽  
D.F. Stroup ◽  
S.B. Thacker

The human population of the earth took the whole of its existence until 1800 to build to 1 billion. By 2000 it had exceeded 6 billion, more than doubling in the twentieth century alone. In 1800, the time taken to navigate the globe by sailing ship was about a year. Today, no two cities served by commercial aircraft are more than a couple of days apart. Since this is less than most disease incubation times, infected people can travel undetected—a concern noted from the early days of commercial air travel. Within developed countries, the rate of individual circulation (in terms of average distances travelled) has increased 1,000-fold in the last 200 years. While the processes of population growth and geographical churn have been at work for the whole of human history, it is in the last two centuries that the momentum of change has gathered increasing pace. As described in Section 2.1, McMichael (2004) recognizes four separate stages. (i) Early human settlements from c.5,000 to c.10,000 years ago enabled enzootic pathogens to enter Homo sapiens populations. Some of these encounters led to the emergence of many of today’s textbook infections: influenza, tuberculosis, cholera, typhoid, smallpox, measles, malaria, and many others. (ii) Eurasian military and commercial contacts c.1,500 to c.3,000 years ago with swapping of dominant infections between the Mediterranean and Chinese civilizations. As described in Section 2.2, the plagues and pestilences of classical Greece and Rome date from this period. (iii) European exploration and imperialism from c.1500 with the transoceanic spread of often lethal infectious diseases. The impact on the Americas, on Australasia, and on remote island populations is well known; ships’ crews and passengers were the devastating vectors. (iv) The fourth great transition is today’s globalization, acting through demographic change and accelerating levels of contacts between the different parts of the world to facilitate disease emergence, re-emergence, and spatial transfer. Global warming, the destabilization of environments, the unparalleled movement of peoples rapidly across the globe through air transport, are all part of an evolving host–microbe relationship (cf. Section 1.3.1).


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L Lia ◽  
B Dorelli ◽  
M Marte ◽  
M Chiappetta ◽  
A Faticoni ◽  
...  

Abstract Background At the end of 2019, a novel pneumonia-causing Coronavirus called Sars-CoV-2 was first identified in Wuhan, Hubei Province, China. It subsequently spread throughout China and elsewhere, becoming a global health emergency. In February 2020, WHO designated the disease COVID-19, which stands for Coronavirus disease 2019. The aim of this study was to evaluate the impact of the COVID-19 epidemic on the perception of young Italians and to assess their knowledge and attitudes about the disease. Methods An online survey was conducted on 3rd-4th-5th February 2020 with the collaboration of “Skuola.net”, an important Italian Website for students. Young people had the opportunity to participate in the survey by answering an ad hoc questionnaire created to investigate knowledge and attitudes about the new Coronavirus, using a link published on the homepage. Results 5234 responses were received of which 3262 were females and 1972 were males, aged from 11 to 30. 82,4% were students (50,4% high school students) while 17,6% did not attend school or university. Regarding knowledge, 80% of the participants knew that the infection occurs through droplets from infected people; 63% knew that symptoms can appear up to 14 days after exposure; 80% knew that a vaccine has not yet been discovered. Regarding attitudes, 36% admitted that their attitude towards Chinese tourists has significantly worsened; 26% did not buy from Chinese run stores and 24% avoided Chinese restaurants. Conclusions Although most of the participants seem correctly informed about COVID-19, young Italians are at risk of assuming irrational behavior due to psychosis. Key messages The global emergency of COVID-19 needs adequate information to avoid the spread of dangerous psychoses. Young people, usual users of social networks as a means of information, are more at risk of being influenced by fake news and adopting wrong behaviors.


Author(s):  
Marcello Vultaggio ◽  
Daniela Varrica ◽  
Maria Grazia Alaimo

At the end of 2019, the first cases of coronavirus disease (COVID-19) were reported in Wuhan, China. Thereafter, the number of infected people increased rapidly, and the outbreak turned into a national crisis, with infected individuals all over the country. The COVID-19 global pandemic produced extreme changes in human behavior that affected air quality. Human mobility and production activities decreased significantly, and many regions recorded significant reductions in air pollution. The goal of our investigation was to evaluate the impact of the COVID-19 lockdown on the concentrations of the main air pollutants in the urban area of Palermo (Italy). In this study, the trends in the average concentrations of CO, NO2, O3, and PM10 in the air from 1 January 2020 to 31 July 2020 were compared with the corresponding average values detected at the same monitoring stations in Palermo during the previous five years (2015–2019). During the lockdown period (10 March–30 April), we observed a decrease in the concentrations of CO, NO2, and particulate matter (PM)10, calculated to be about 51%, 50%, and 45%, respectively. This confirms that air pollution in an urban area is predominantly linked to vehicular traffic.


2020 ◽  
Vol 19 (3) ◽  
pp. 506-515
Author(s):  
Katie L. Acosta

The impact of COVID–19 on racially minoritized communities in the United States has forced us all to look square in the face of the systemic racism that is embedded in every fabric of our society. As the number of infected people continues to rise, the racial disparities are glaringly obvious. Black and Latinx communities have been hit considerably harder by this pandemic. Both racial/ethnic groups have seen rates of infection well above their percentage in the general population and African Americans have seen rates of death from COVID–19 as high as twice their percentage in the general population. These numbers bear witness to the high cost of racism in the United States.


Author(s):  
Miguel Casares ◽  
Hashmat Khan

The continued spread of COVID-19 suggests a significant possibility of reimposing the lockdowns and stricter social distancing similar to the early phase of pandemic control. We present a dynamic model to quantify the impact of isolation for the contagion curves. The model is calibrated to the COVID-19 outbreak in Spain to study the effects of the isolation enforcement following the declaration of the state of alarm (14 March 2020). The simulations indicate that both the timing and the intensity of the isolation enforcement are crucial for the COVID-19 spread. For example, a 4-day earlier intervention for social distancing would have reduced the number of COVID-19 infected people by 67%. The model also informs us that the isolation enforcement does not delay the peak day of the epidemic but slows down its end. When relaxing social distancing, a reduction of the contagion probability (with the generalization of preventive actions, such as face mask wearing and hands sanitizing) is needed to overcome the effect of a rise in the number of interpersonal encounters. We report a threshold level for the contagion pace to avoid a second COVID-19 outbreak in Spain.


2020 ◽  
Author(s):  
Akshay Jindal ◽  
Shrisha Rao

AbstractMany countries are implementing lockdown measures to slow the COVID-19 pandemic, putting more than a third of the world’s population under restrictions. The scale of such lockdowns is unprecedented, and while some effects of lockdowns are readily apparent, it is less clear what effects they may have on outbreaks of serious communicable diseases. We examine the impact of these lockdowns on outbreaks of mosquito-borne diseases. Using an agent-based model and simulations, we find that the risk and severity of such outbreaks is much greater under lockdown conditions, with the number of infected people doubling in some cases. This increase in number of cases varies by different mosquito-borne diseases, and is significantly higher for diseases spread by day-biting mosquitoes. We analysed various intervention strategies and found that during lockdowns, decentralised strategies such as insecticide-treated nets and indoor residual spraying are more effective than centralised strategies.


2021 ◽  
Vol 19 (2) ◽  
pp. 1355-1372
Author(s):  
Vinicius Piccirillo ◽  

<abstract><p>This work deals with the impact of the vaccination in combination with a restriction parameter that represents non-pharmaceutical interventions measures applied to the compartmental SEIR model in order to control the COVID-19 epidemic. This restriction parameter is used as a control parameter, and the univariate autoregressive integrated moving average (ARIMA) is used to forecast the time series of vaccination of all individuals of a specific country. Having in hand the time series of the population fully vaccinated (real data + forecast), the Levenberg–Marquardt algorithm is used to fit an analytic function that models this evolution over time. Here, it is used two time series of real data that refer to a slow vaccination obtained from India and Brazil, and two faster vaccination as observed in Israel and the United States of America. Together with vaccination, two different control approaches are presented in this paper, which enable reduces the infected people successfully: namely, the feedback and nonfeedback control methods. Numerical results predict that vaccination can reduce the peaks of infections and the duration of the pandemic, however, a better result is achieved when the vaccination is combined with any restrictions or prevention policy.</p></abstract>


2021 ◽  
Author(s):  
Gilberto Gonzalez-Parra ◽  
David Martínez-Rodríguez ◽  
Rafael-J. Villanueva-Micó

Several SARS-CoV-2 variants have emerged around the world and the appearance of other variants depends on many factors. These new variants might have different characteristics that can affect the transmissibility and death rate. The administration of vaccines against the coronavirus disease 2019 (COVID-19) started in early December of 2020 and in some countries the vaccines will not soon be widely available. In this article, we study the impact of a new more transmissible SARS-CoV-2 strain on prevalence, hospitalizations, and deaths related to the SARS-CoV-2 virus. We study different scenarios regarding the transmissibility in order to provide a scientific support for public health policies and bring awareness of potential future situations related to the COVID-19 pandemic. We construct a compartmental mathematical model based on differential equations to study these different scenarios. In this way, we are able to understand how a new, more infectious strain of the virus can impact the dynamics of the COVID-19 pandemic. We study several metrics related to the possible outcomes of the COVID-19 pandemic in order to assess the impact of a higher transmissibility of a new SARS-CoV-2 strain on these metrics. We found that, even if the new variant has the same death rate, its high transmissibility can increase the number of infected people, those hospitalized, and deaths. The simulation results show that health institutions need to focus on increasing non-pharmaceutical interventions and the pace of vaccine inoculation since a new variant with higher transmissibility as, for example, VOC-202012/01 of lineage B.1.1.7, may cause more devastating outcomes in the population.


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