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Epidemic - Springer Nature

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Last Updated: 25 June 2022

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The Clash of Two Epidemics: the Relationship Between Opioids and Glucose Metabolism

This review shows that opioid use raises blood glucose levels in the overwhelming majority of studies. In contrast, opioid therapy, as seen in patients with type 2 diabetes mellitus, lowers blood glucose levels. Conclusion: Thus, opioid therapy can have various side effects on glycaemia, which should be taken into account when prescribing opioid-based drugs, and more research is required to determine the relationship between obesity, glycaemia, and opioid use.

Source link: https://doi.org/10.1007/s11892-022-01473-0


Development of brown rot epidemics in Spanish peach orchards

Monilinia spp. A new approach to modeling brown rot epidemics caused by Monilinia spp. In Ebro Valley, peach orchards have been planted. The new model suits the epidemic pattern of brown rot in north-eastern Spain. The disease's transmission as a non-linear disease implied that tiny changes in the infection rate had a significant effect on the disease's propagation. In addition, all control steps that reduce the incidence of secondary infection in ripe fruit, whether by the use of more resistant varieties or the use of fungicides, are also effective in reducing brown rot incidence. The new epidemic model is adaptable, and it allows to add complexity to the system and assess the effectiveness of various control tactics.

Source link: https://doi.org/10.1007/s10658-022-02504-y


Acute threshold dynamics of an epidemic system with quarantine strategy driven by correlated white noises and Lévy jumps associated with infinite measure

However, this scope ignores a substantial group of related Lu00e9vy jump processes that are controlled by an infinite Lu00e9vy algorithm. Our analysis completes the study done by Privault and Wang and brings a new quantitative approach to deal with other stochastic models in many fields. We develop the algorithm of Rosinski for tempered stable Lu00e9vy processes with an infinite Lu00e9vy scale, as a numerical application.

Source link: https://doi.org/10.1007/s40435-022-00981-x


A GIS-aided cellular automata system for monitoring and estimating graph-based spread of epidemics

Using the example of a Greek city, we introduce an application of a Cellular Automata -based platform for monitoring and estimating epidemic spread in real world in this study. The proposed scheme incorporates cellular layout and graph representation to help the areas' boundaries between the areas' portions more realistically. The model's original layout is attributed to a classical SIR mathematical model. A software has been developed that allows the representation of any region with defined population distribution and geographical information in a graph that corresponds to the corresponding CA model for epidemic simulation. The city of Eleftheroupoli, Greece's eastern Macedonia, was chosen as a testing platform in order to demonstrate the effective operation of the new model and procedure of data display.

Source link: https://doi.org/10.1007/s11047-022-09891-5


Distribution equality as an optimal epidemic mitigation strategy

A fruitful reaction to a global pandemic is dependent on efficient global delivery, which is limited by our global shipping network, as shown by our global shipping network. The reason is that these plans disregard the way in which this number distributes throughout countries because they are solely focused on the number of disseminated therapeutics. To solve this, we devised a dissemination plan that naturally follows the pathogens' predicted spreading patterns, not just for supply quantity, but also for its congruence with the anticipated demand. This tactic may, at times, slow down the supply rate in some regions, but it does offer a dramatic improvement in overall mitigation effectiveness, potentially saving more lives with orders of magnitude less supplies.

Source link: https://doi.org/10.1038/s41598-022-12261-x


The contribution of hospital-acquired infections to the COVID-19 epidemic in England in the first half of 2020

Methods We used comprehensive national English databases to determine the number of COVID-19 patients with reported hospital-acquired infections in acute English hospitals up to August 2020. Conclusions in our database of hospitalized COVID-19 patients in acute English hospitals with a reported symptom onset date of 7% were classified as hospital-acquired. After finding 15,900 or 20. 1 percent of all identified hospitalized COVID-19 infections in a acute Trust in England before 31st July 2020, we estimated that 26,600 people had asymptomatic SARS-CoV-2 disease in an acute Trust in England. Conclusions SARS-CoV-2 transmission in England's 201-cfirst wave generation could have affected about a fifth of reported cases of hospitalized COVID-19 in England, but only 1% of all infections in England.

Source link: https://doi.org/10.1186/s12879-022-07490-4


Vaccine supply decisions and government interventions for recurring epidemics

Existing epidemiology studies have consistently demonstrated that there is a correlation between the vaccination decisions in various flu seasons, but that operational management mainly focuses on the single-period model. In this paper, we develop a multi-period vaccination demand model to investigate multi-period vaccine supply decisions and government interventions. Given the facts of the last epidemic period, we suspect that members of the population make vaccination decisions at the start of an epidemic period. The minimum variation between supply and demand for the vaccine determines the vaccination coverage. In addition, we show that, in addition to supply uncertainty, vaccine demand may decrease or rise with the vaccination coverage in the last epidemic period, depending on the vaccine's effectiveness. In addition, the coverage convergence is based on the vaccine's safety and infection loss distribution. According to reports, the multi-period profit-maximizing coverage and government intervention depend on vaccine safety and coverage convergence.

Source link: https://doi.org/10.1007/s10479-022-04809-x


Epidemic risk assessment from geographic population density

Heterogeneity in the population density directly impacts the local relative risk, directly impacting the local population density and connectivity to the rest of the area. We discover a locally recognizable geographic centrality that measures the average connectivity of an area as an accurate measure of local riskiness, assuming that the contact rate of any two people is dependent on their household distance.

Source link: https://doi.org/10.1007/s41109-022-00480-0


Impact of urbanisation and environmental factors on spatial distribution of COVID-19 cases during the early phase of epidemic in Singapore

A geographically weighted regression can be used to investigate the COVID-19 transmission pattern between cases. For analyses, we considered 21st January 2020 to March 2020, with residential address reported from 21st January 2020 to 17th March 2020. In several sub-zones of Singapore during the early stages of the COVID-19 epidemic, widespread but poor correlation of temperature with COVID-19 incidence was observed. COVID-19 prevalence was found in sub-zones, high residential population density, and high rates of urbanization. The incidence of COVID-19 case types within sub-zones varied widely, especially in Singapore's western and north-eastern regions. Possible risk factors for COVID-19 transmission are high population density and high urbanization. These results have provided further insight into how to implement infection prevention and control tactics to combat COVID-19 transmission.

Source link: https://doi.org/10.1038/s41598-022-12941-8

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions