Category: Nevin Manimala

Math Biosci Eng. 2023 Jan 11;20(3):5333-5351. doi: 10.3934/mbe.2023247.

ABSTRACT

As COVID-19 continues to spread across the world and causes hundreds of millions of infections and millions of deaths, medical institutions around the world keep facing a crisis of medical runs and shortages of medical resources. In order to study how to effectively predict whether there are risks of death in patients, a variety of machine learning models have been used to learn and predict the clinical demographics and physiological indicators of COVID-19 patients in the United States of America. The results show that the random forest model has the best performance in predicting the risk of death in hospitalized patients with COVID-19, as the COVID-19 patients’ mean arterial pressures, ages, C-reactive protein tests’ values, values of blood urea nitrogen and their clinical troponin values are the most important implications for their risk of death. Healthcare organizations can use the random forest model to predict the risks of death based on data from patients admitted to a hospital due to COVID-19, or to stratify patients admitted to a hospital due to COVID-19 based on the five key factors this can optimize the diagnosis and treatment process by appropriately arranging ventilators, the intensive care unit and doctors, thus promoting the efficient use of limited medical resources during the COVID-19 pandemic. Healthcare organizations can also establish databases of patient physiological indicators and use similar strategies to deal with other pandemics that may occur in the future, as well as save more lives threatened by infectious diseases. Governments and people also need to take action to prevent possible future pandemics.

PMID:36896548 | DOI:10.3934/mbe.2023247

Math Biosci Eng. 2023 Jan 9;20(3):5194-5222. doi: 10.3934/mbe.2023241.

ABSTRACT

Healthcare is the method of keeping or enhancing physical and mental well-being with its aid of illness and injury prevention, diagnosis, and treatment. The majority of conventional healthcare practices involve manual management and upkeep of client demographic information, case histories, diagnoses, medications, invoicing, and drug stock upkeep, which can result in human errors that have an impact on clients. By linking all the essential parameter monitoring equipment through a network with a decision-support system, digital health management based on Internet of Things (IoT) eliminates human errors and aids the doctor in making more accurate and timely diagnoses. The term “Internet of Medical Things” (IoMT) refers to medical devices that have the ability to communicate data over a network without requiring human-to-human or human-to-computer interaction. Meanwhile, more effective monitoring gadgets have been made due to the technology advancements, and these devices can typically record a few physiological signals simultaneously, including the electrocardiogram (ECG) signal, the electroglottography (EGG) signal, the electroencephalogram (EEG) signal, and the electrooculogram (EOG) signal. Yet, there has not been much research on the connection between digital health management and multi-modal signal monitoring. To bridge the gap, this article reviews the latest advancements in digital health management using multi-modal signal monitoring. Specifically, three digital health processes, namely, lower-limb data collection, statistical analysis of lower-limb data, and lower-limb rehabilitation via digital health management, are covered in this article, with the aim to fully review the current application of digital health technology in lower-limb symptom recovery.

PMID:36896542 | DOI:10.3934/mbe.2023241

Math Biosci Eng. 2023 Jan 6;20(3):5043-5065. doi: 10.3934/mbe.2023234.

ABSTRACT

The influence of residents’ income on mental health is complex, and there are heterogeneous effects of residents’ income on different types of mental health. Based on the annual panel data of 55 countries from 2007 to 2019, this paper divides residents’ income into three dimensions: absolute income, relative income and income gap. Mental health is divided into three aspects: subjective well-being, prevalence of depression and prevalence of anxiety. Panel Tobit model is used to study the heterogeneous impact of residents’ income on mental health. The results show that, on the one hand, different dimensions of residents’ income have a heterogeneous impact on mental health, specifically, absolute income has a positive impact on mental health, while relative income and income gap have no significant impact on mental health. On the other hand, the impact of different dimensions of residents’ income on different types of mental health is heterogeneous. Specifically, absolute income and income gap have heterogeneous effects on different types of mental health, while relative income has no significant impact on different types of mental health.

PMID:36896535 | DOI:10.3934/mbe.2023234

Math Biosci Eng. 2023 Jan 4;20(3):4816-4837. doi: 10.3934/mbe.2023223.

ABSTRACT

This paper is devoted to investigating the impact of vaccination on mitigating COVID-19 outbreaks. In this work, we propose a compartmental epidemic ordinary differential equation model, which extends the previous so-called SEIRD model ^[1,2,3,4] by incorporating the birth and death of the population, disease-induced mortality and waning immunity, and adding a vaccinated compartment to account for vaccination. Firstly, we perform a mathematical analysis for this model in a special case where the disease transmission is homogeneous and vaccination program is periodic in time. In particular, we define the basic reproduction number $ mathcal{R}_0 $ for this system and establish a threshold type of result on the global dynamics in terms of $ mathcal{R}_0 $. Secondly, we fit our model into multiple COVID-19 waves in four locations including Hong Kong, Singapore, Japan, and South Korea and then forecast the trend of COVID-19 by the end of 2022. Finally, we study the effects of vaccination again the ongoing pandemic by numerically computing the basic reproduction number $ mathcal{R}_0 $ under different vaccination programs. Our findings indicate that the fourth dose among the high-risk group is likely needed by the end of the year.

PMID:36896524 | DOI:10.3934/mbe.2023223

Math Biosci Eng. 2023 Jan;20(3):4714-4740. doi: 10.3934/mbe.2023218. Epub 2022 Dec 29.

ABSTRACT

The variation of nutrient supply not only leads to the differences in the phytoplankton biomass and primary productivity but also induces the long-term phenotypic evolution of phytoplankton. It is widely accepted that marine phytoplankton follows Bergmann’s Rule and becomes smaller with climate warming. Compared with the direct effect of increasing temperature, the indirect effect via nutrient supply is considered to be an important and dominant factor in the reduction of phytoplankton cell size. In this paper, a size-dependent nutrient-phytoplankton model is developed to explore the effects of nutrient supply on the evolutionary dynamics of functional traits associated with phytoplankton size. The ecological reproductive index is introduced to investigate the impacts of input nitrogen concentration and vertical mixing rate on the persistence of phytoplankton and the distribution of cell size. In addition, by applying the adaptive dynamics theory, we study the relationship between nutrient input and the evolutionary dynamics of phytoplankton. The results show that input nitrogen concentration and vertical mixing rate have significant effects on the cell size evolution of phytoplankton. Specifically, cell size tends to increase with the input nutrient concentration, as does the diversity of cell sizes. In addition, a single-peaked relationship between vertical mixing rate and cell size is observed. When the vertical mixing rate is too low or too high, only small individuals are dominant in the water column. When the vertical mixing rate is moderate, large individuals can coexist with small individuals, so the diversity of phytoplankton is elevated. We predict that reduced intensity of nutrient input due to climate warming will lead to a trend towards smaller cell size and will reduce the diversity of phytoplankton.

PMID:36896519 | DOI:10.3934/mbe.2023218

Math Biosci Eng. 2023 Jan;20(3):4673-4689. doi: 10.3934/mbe.2023216. Epub 2022 Dec 28.

ABSTRACT

The effective reproduction number, $ R_t $, is a vital epidemic parameter utilized to judge whether an epidemic is shrinking, growing, or holding steady. The main goal of this paper is to estimate the combined $ R_t $ and time-dependent vaccination rate for COVID-19 in the USA and India after the vaccination campaign started. Accounting for the impact of vaccination into a discrete-time stochastic augmented SVEIR (Susceptible-Vaccinated-Exposed-Infectious-Recovered) model, we estimate the time-dependent effective reproduction number $ (R_t) $ and vaccination rate $ (xi_t) $ for COVID-19 by using a low pass filter and the Extended Kalman Filter (EKF) approach for the period February 15, 2021 to August 22, 2022 in India and December 13, 2020 to August 16, 2022 in the USA. The estimated $ R_t $ and $ xi_t $ show spikes and serrations with the data. Our forecasting scenario represents the situation by December 31, 2022 that the new daily cases and deaths are decreasing for the USA and India. We also noticed that for the current vaccination rate, $ R_t $ would remain greater than one by December 31, 2022. Our results are beneficial for the policymakers to track the status of the effective reproduction number, whether it is greater or less than one. As restrictions in these countries ease, it is still important to maintain safety and preventive measures.

PMID:36896517 | DOI:10.3934/mbe.2023216

Math Biosci Eng. 2023 Jan;20(3):4437-4454. doi: 10.3934/mbe.2023206. Epub 2022 Dec 26.

ABSTRACT

This article presents the existence outcomes concerning a family of singular nonlinear differential equations containing Caputo’s fractional derivatives with nonlocal double integral boundary conditions. According to the nature of Caputo’s fractional calculus, the problem is converted into an equivalent integral equation, while two standard fixed theorems are employed to prove its uniqueness and existence results. An example is presented at the end of this paper to illustrate our obtained results.

PMID:36896507 | DOI:10.3934/mbe.2023206

J Adv Nurs. 2023 Mar 9. doi: 10.1111/jan.15621. Online ahead of print.

ABSTRACT

BACKGROUND AND AIM: With the worldwide outbreak of coronavirus, a significant impact has been observed on the functioning of healthcare systems and the process of childbirth. Women probably did not even have a choice to adjust their plans accordingly to the current situation. The aim of the study was to examine how the outbreak of the SARS CoV-2 pandemic state affected the decisions of pregnant women about their childbirth plan.

DESIGN: This cross-sectional study was performed using a web-based survey published on social media in Poland.

METHODS: The cross-sectional study was performed using web-based questionnaires. The study group included Polish women who changed their childbirth plans, compared to a group of women not sure about delivery plan change and those whose plans had not changed. The data were collected from 4 March 2020 to 2 May 2020, when the first rising count of new infections was observed in Poland and worldwide. Statistical analysis was performed using STATISTICA Software, Inc., 13.3 (2020).

RESULTS: Of 969 women who completed the questionnaire and were enrolled into the study, 57.2% had not changed their childbirth plans (group I), 28.4% had changed their plans (group II), and 14.4% of respondents answered “not sure” to this question (group III). The majority of women changed their birth plans during the pandemic because of the potential absence of their partner during labour (56% of women who had changed their plans and 48% of those whose answer was “I am not sure”, p < .001). Another reason was the fear of separation from the child after delivery (33% of women who had changed their plans and 30% of those whose answer was “I am not sure”, p < .001).

CONCLUSION: Restrictions due to the COVID-19 outbreak have influenced the childbirth plans of pregnant women. The changes were independent of women’s vision of birth before the pandemic.

IMPACT: The restriction on births with accompanying person and the risk of separation from their infant after childbirth significantly influenced the decision-making process. As a result, some women were more likely to opt for a home birth with or even without medical assistance.

PATIENT OR PUBLIC CONTRIBUTION: The study participants were women who were pregnant at the time of completing the questionnaire, were over 18 years old and spoke Polish.

PMID:36895080 | DOI:10.1111/jan.15621

BMC Nutr. 2023 Mar 9;9(1):45. doi: 10.1186/s40795-023-00698-w.

ABSTRACT

BACKGROUND: From 6 months of age, children need, in addition to breast milk, a complementary food whose nutritional composition meets their needs. However, low consumption of child-specific foods in favor of adult foods has been documented. Thus, the lack of adaptation of children to family feeding conditions has been the source of frequent malnutrition in some low-income countries. In Burkina Faso, little data is available on family-type food consumption by children. The objective was to describe the socio-cultural influences on feeding habits and food consumption frequencies of infants aged 6-23 months in Ouagadougou.

METHODS: The study was conducted from March to June 2022 using a structured questionnaire. A reminder of the previous 24 h’ meals was used to assess 618 children’s food consumption. Mother-child pairs were selected using the simple random sampling method, and data collection was done by the interview method. Sphinx V5, IBM SPSS Statistics 20.0 and XLSTAT 2016 software were used to process data.

RESULTS: Influences between the consumption of certain foods and the mother’s social status were observed. The most consumed foods are simple porridges (67.48%), Tô/rice (65.70%), cookies and cakes (62.94%), juices and sweetened drinks (62.94%). Cowpeas (17.31%), improved porridge (13.92%) and eggs (6.63%) are the least consumed. The most meals frequency was three meals daily (33.98%), and children with the minimum daily meal frequency were 86.41%. Principal component analysis showed that the mother’s social status influenced the consumption of imported infant flours, fish soups, fruits, juices and sweetened drinks, cookies and cakes, simple porridge, and tô/rice. Concerning the consumption of local infant porridges, 55.72% of the children who consumed them appreciated positively. However, for 57.75% of the parents, the lack of information limits the consumption rate of this type of flour.

CONCLUSION: High consumption of family-type meals was observed and was influenced by parental social status. In addition, the rate of acceptable meal frequencies was generally high.

PMID:36895038 | DOI:10.1186/s40795-023-00698-w

BMC Sports Sci Med Rehabil. 2023 Mar 9;15(1):29. doi: 10.1186/s13102-023-00637-z.

ABSTRACT

OBJECTIVES: To examine the occurrence of magnetic resonance imaging (MRI) changes in the thoracolumbar spine among elite climbing athletes.

METHODS: All climbers of the Swedish national sport climbing team (n = 8), and individuals having trained for selection to the national team (n = 11), were prospectively included. A control group, matched in age and sex, were recruited. All participants underwent a thoracolumbar MRI (1.5 T, T1- and T2-weighted imaging), evaluated according to Pfirrmann classification, modified Endplate defect score, Modic changes, apophyseal injuries and spondylolisthesis. Pfirrmann ≥ 3, Endplate defect score ≥ 2 and Modic ≥ 1 was defined as degenerative findings.

RESULTS: Fifteen individuals, 8 women, participated in both the climbing group (mean age 23.1, SD 3.2 years) and the control group respectively (mean age 24.3, SD 1.5 years). In the climbing group, 6.1% of the thoracic and 10.6% of the lumbar intervertebral discs showed signs of degeneration according to Pfirrmann. One disc with a grade above 3 was present. Modic changes in the thoracic/lumbar spine were prevalent in 1.7%/1.3% of the vertebrae. Degenerative endplate changes according to the Endplate defect score were found in 8.9% and 6.6% of the thoracic and lumbar spinal segments of the climbing group, respectively. Two apophyseal injuries were found, while no participants displayed signs of spondylolisthesis. There was no difference in point-prevalence of radiographic spinal changes between climbers and controls (0.07 < p < 1.0).

CONCLUSION: In this small cross-sectional study, only a low proportion of elite climbers displayed changes of the spinal endplates or intervertebral discs, as opposed to other sports with high spinal loads. Most observed abnormalities were low grade degenerative changes and did not differ statistically compared to controls.

PMID:36895033 | DOI:10.1186/s13102-023-00637-z