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Dec 2020 DOI 10.14302/issn.2329-9487.jhc-20-3611
Objective To understand the present status of high blood pressure in Jiangxi adults including the prevalence rate, overall awareness, and hypertension treatment. Methods a total of 7,200 adult participants (over 18 years old) lived in Jiangxi were recruited using a stratified sampling method. Blood pressure was measured for all the participants and a questionnaire survey was conducted. A 24-hour urine sample was also collected to understand urine sodium and potassium levels. Results Our findings revealed that the measured systolic blood pressure (SBP) and diastolic blood pressure (DBP) were 125.9 mmHg (95% CI, 124.85-126.95) and 79.2 mm Hg (95% CI, 78.15-80.25). The prevalence of hypertension among the enrolled adults was 27.43% (95% CI, 26.38%–28.48%). Among the affected participants, less than 30% of them (95% CI) were aware of their hypertension condition, and only 28.56% (95% CI) were under anti-hypertension medications. The mean salt intake converted from urinary sodium was 10.92±4.07 g and the mean±SD of 24-h urinary sodium and potassium excretion were 185.51±65.44 mmol and 25.98±9.16 mmol, respectively. The high-salt condiments was determined to be the main source of sodium in the region. Conclusion Findings from this study form the baseline information to understand the hypertension condition in the region and indicate a possible solution for hypertension prevention through avoiding high-salt condiments.
Feb 2020 DOI 10.14302/issn.2379-7835.ijn-20-3162
Aim Overconsumption of salt contributes to hypertension and increases the risks of cardiovascular diseases. Most studies that investigated salt intake by applying the Health belief model (HBM) have focused on urban settings. This study aims to identify the prevalence of salt overconsumption (>6 g per day) in a rural village in Southwestern China and to determine the association between knowledge regarding salt consumption/HBM constructs and salt overconsumption behavior among village residents. Methods Inthis cross-sectional study, 79 adults aged 18 years and above were interviewed using household-based and face-to-face questionnaires. Salt intake was measured using an electronic balance in accordance with a previous protocol. Results Our finding showed that the average daily salt intake is 11.19±11.14 (mean±SD) g. Moreover, 64.6% of the participants overconsumed salt. None of the participants was aware of the national recommendation for salt intake. Univariate logistic regression showed that i) knowledge about hypertension causing cardiovascular diseases (odds ratio [ORu]=3.02), ii) perceived severity of hypertension as a serious disease (ORu=4.92), and iii) perceived benefit of reducing salt intake to prevent hypertension (ORu=3.52) were unexpectedly positively associated with salt overconsumption behavior. All the studied sociodemographic factors were not associated with salt overconsumption behavior. Conclusions A high prevalence of salt overconsumption was found among residents of rural villages in Southwestern China. HBM was unable to explain the causal relationship between its constructs and salt overconsumption behavior. The extremely low awareness of the national salt recommendation highlighted the urgent need to provide relevant health education in rural China.
Dec 2019 DOI 10.14302/issn.2639-3166.jar-19-3097
Nitrogen leaching as a direct pathway of N loss from agricultural land can negatively affect groundwater and surface water quality. However, a simple and efficient method for nitrogen leaching loss estimation is still inefficient. In this study, an exponential model was developed using the experimental data from a two-year field experiment conducted in the Taihu Lake region of China to simulate the N leaching from the paddy soil. The results showed the leached N was in the range of 5.66 to 8.45 kg N/ha during the whole rice season, which was accounted for 1.7%-2.1% of the applied N. A good agreement between the measured and model predicted results for N leaching loss was observed, suggesting the validity of the established model. The model was further validated with the data of other studies in other regions. The results demonstrated this model is able to simulate the N leaching loss accurately and can provide a beneficial tool for users to predict N leaching loss in paddy soil.
Jul 2019 DOI 10.14302/issn.2641-4538.jphi-19-2966
Big infectious diseases do harm to the whole society and it is highly crucial to control them on time. China has successful experience of launching reimbursement policy to control big infectious diseases, Severe Acute Respiratory Syndromes (SARS), efficiently. By evolution model, this article illustrates the efficiency of big infectious disease reimbursement policy in China. On one hand, the number of infected persons decreases under big infectious disease reimbursement policy in China. On the other hand, the total expenditures to cure also under control. In summary, big infectious disease reimbursement policy in China can support as an efficient example to cope with big infectious diseases.
Jun 2018 DOI 10.14302/issn.2574-612X.ijpr-18-2110
Purpose: There are nearly 170,000 new cases of breast cancer in China every year, and this number is showing an increasing trend. Mental health plays an important role in promoting the physical rehabilitation of patients. Therefore, attention paid to their psychological problems needs to be reinforced. The current study aims to investigate the mental health states of the breast cancer patients and provides the references for their psychosomatic rehabilitation in the future work. Methods: A total of 643 breast cancer patients completed the whole study. A questionnaire survey on anxiety, depression, posttraumatic stress disorder (PTSD), and posttraumatic growth (PTG) was conducted in Jiangsu Women and Children Health Hospital. Results: 13.53% breast cancer patients had anxiety; 21.5% had depression; the prevalence of PTSD was 7.15%, while the prevalence of PTG was 26.12%; Anxiety levels in older patients were significantly lower than those in the other two groups; PTG levels in older patients were significantly lower than those in the other two groups. Conclusion: Breast cancer patients have certain emotional distress and stress symptoms, but they also experience psychologically positive changes. And age shows various differences on anxiety and PTG. Clinical medical personnel should pay attention to the patient's psychological rehabilitation when concerning about the physical rehabilitation of patients. Patients in different ages have different mental health problems, thus the medical staff shall provide differential nursing plans for them.
Dec 2017 DOI 10.14302/issn.2637-6075.jpae-17-1863
Water availability is one of the fundamental drivers for biological activities and terrestrial carbon cycling. Although the response of soil respiration to precipitation has been well documented in arid and semiarid ecosystems, our understanding of its pattern in forests is rather limited. This study was conducted to examine the difference of precipitation effect on soil respiration under different canopy conditions in a temperate coniferous (Pinus armandii Franch) and broadleaved (Quercus aliena var. acuteserrata) mixed forest in Central China. The results showed that precipitation significantly reduced soil temperature, but increased soil volumetric water content and soil respiration (6.0%-35.3%). Precipitation caused a greater increment in soil respiration beneath the canopy of broadleaved trees (24.2%) than that beneath coniferous ones (13.5%). Precipitation-induced increase in soil respiration was consistently lower beneath the canopy of small size classes (7.1%-32.6%) than large size classes (9.5%-33.3%). Mean soil respiration of forest gaps increased 22.4% following precipitations. Our study highlights the positive response of soil respiration to precipitation pulses in water-unlimited ecosystems. The findings suggest that the spatial heterogeneity of soil respiration to precipitation pulse under different canopy conditions should be emphasized while assessing terrestrial carbon cycling and its feedback to climate change.
Jan 2016 DOI 10.14302/issn.2381-862X.jwrh-15-801
Objectives: To measure the horizontal inequity in the uptake of hospital delivery and quantify the contribution of various social determinants of health (SDH) to such inequity in China from 1993-2008 Methods: With four national representative surveys in China conducted in 1993, 1998, 2003 and 2008, we measured horizontal inequity in the uptake of hospital delivery using indirect standardized concentration indices (CIs). By decomposing Cis into components, we explored the contributions of income, health insurance, education, living conditions to such inequities. Oaxaca type decomposition was further used to explain the role for each SDH on the changes of inequities between 1993 and 2008. Results: We found that horizontal inequity in the coverage of hospital delivery approached equal line in the urban areas and shrank by 90% in rural China in 1993-2008. The data also showed that dramatic socio-economic achievement was made across the 16 years, including education, income, health insurance and living conditions, which contributed substantially to the reduction of the inequities in the uptake of hospital delivery. Income’s contribution was mainly made by its protection effect, while health insurance’s role was mainly played by its equal distributions in the rural areas. Conclusions: The horizontal inequity in the uptake of hospital births vanished in urban China and decreased in the rural. The leading contributors to such inequity were income, health insurance, living conditions and education. Decomposition analysis suggests that more investments are warranted for financial risk protection and targeted demand side subsidies may make a difference.
Oct 2015 DOI 10.14302/issn.2470-5020.jnrt-15-726
Background: A higher incidence of symptomatic lacunar infarction (LI) was confirmed in metropolitan areas. The aim of this study was to determinethe prevalence characteristics and early predictors of LI in a population of elderly outpatients in northern China. Methods: From February 2011 to March 2012, a retrospective cohort of new patients was selected for study, all registered neurologic outpatients of the tertiary teaching hospital in northern China. A total of 453 outpatients, clinically only having had an initial visit and a magnetic resonance imaging study of the brain, were enrolled. The prevalence characteristics and vascular risk factors of LI were assessed. Results: Of 453 symptomatic outpatients, 258(57.0%) patients had symptomatic LI. We found that the main types of symptomatic LI were nonfocal symptoms, such as dizziness and headache, dizziness/vertigo, and migraine/headache. Age, BMI, smoking, history of hypertension, duration of hypertension, existing hypertension, headache and dizziness, pure motor hemiparesis, blood glucose, hypercholesterolemia, systolic blood pressure, and ABCD2 score, were significantly higher in patients with LI than in those without LI (P<0.05). Multivariate logistic regression confirmed that hypertension ≥3years in duration (odds ratio=1.092; 95% CI, 1.019 -1.170) and a median mABCD2 score ≥4 (odds ratio=3.912; 95% CI, 2.955- 5.180) were independent, early predictors of symptomatic LI. Conclusions: The incidence of LI in Northern China was located at the higher end of range in northern China, and common type of symptomatic LI was nonfocal symptoms. Hypertension of long duration and high-risk ABCD2 scores are early predictors of symptomatic LI.
Feb 2026 DOI 10.14302/issn.2474-9273.jbtm-25-5885
Background Depression, increasingly recognized as a critical factor impacting mental health, notably affects various populations, including teachers. This study aimed to delineate the specific characteristics of depressive symptom networks among Chinese teachers, identify the core symptoms of depression within this demographic, and examine the variations in depressive symptom networks across different genders and teaching stages. Method The study encompassed 1,670 teachers. Depressive symptoms were assessed using the Self-Rating Depression Scale (SDS). Central symptoms were identified through centrality indices. Network stability was examined via a case-dropping procedure. Directed Acyclic Graphs (DAG) was used to identify the activating symptoms. Results “Personal devaluation” exhibited the highest and most stable centrality values in the network. “Depressed Affect” and “Emptiness of Life” were identified as the activating symptoms in the network. No significant differences were observed in the network structure and global strength of depression between teachers of different genders. However, significant differences in the network’s global strength were found between junior and senior high school teachers. Conclusion “Personal devaluation” emerged as the core depressive symptoms among teachers in China. “Depressed Affect” and “Emptiness of Life” serve as the gateways that activate the entire teacher depression network. Paying close attention to these symptoms could potentially alleviate the experiences of depression in this demographic.
Dec 2021 DOI 10.14302/issn.2692-1537.ijcv-21-4045
Introduction In December 2019, cases of serious illness causing pneumonia and death were first reported in Wuhan, China.2 The clinical features of Corona Virus Disease-19 (COVID-19) are ranging from asymptomatic to multi organ dysfunction. The disease can progress to pneumonia, respiratory failure and death.4 Thus, a tool is needed that can predict the severity and in-hospital mortality risk of a patient with COVID-19 Pneumonia. The PIRO (predisposition, insult, response, and organ dysfunction) scoring was developed for use in the emergency department to risk stratify sepsis cases.15 Eventually it was adapted in pneumonia cases to predict its severity. Objective To validate PIRO score as an assessment tool for COVID-19 mortality risk among patients with confirmed COVID-19 RT-PCR test among patients aged 19 and above admitted in World Citi Medical Center from March 2020 to August 2020 Methods This study included 93 patients aged 19 and above admitted in World Citi Medical Center with a primary diagnosis of COVID-19 Confirmed with pneumonia between March 2020 to August 2020. The patients’ charts were retrieved from the hospital medical records and case notes were reviewed. A severity assessment score was developed based on PIRO score (Predisposition comorbidities and age; Insult multilobar opacities and viremia; Response shock and hypoxemia; Organ Dysfunciton) were extracted. The patients were stratified in four levels of risk: a)Low,0-2 points; b)Mild,3 points; c)High,4 points; d)Very High,5-8 points. The PIRO score and the clinical outcome were compared. The discriminative ability of PIRO score to predict mortality risk was evaluated under receiver operating characteristic curve (AUC). Results The PIRO score had an excellent predictive ability for in-hospital mortality (AUC0.9197). Analysis of variance showed that higher levels of PIRO scores were significantly associated with higher mortality (p<0.001). Patients with Mild PIRO risk category were 98.65% less likely to expire (p<0.001, 95%CI 0.0015) and High PIRO risk category were 94.47% less likely to expire (p<0.001, 95%CI 0.0124), both compared to patients with Very high PIRO risk category. Finally, Very High PIRO risk category were more than 44 times likely to expire compared to patients with Low, Mild and High PIRO risk category (p<0.001, 95%CI 11.738). Conclusions The PIRO score is a valid risk model that can be used to predict in-hospital mortality, that can help clinicians provide timely and accurate assessment, and hence appropriate management to patients with COVID-19 Pneumonia.
Oct 2021 DOI 10.14302/issn.2692-1537.ijcv-21-3951
This article has been retracted on July 20, 2022. VIEW THE RETRACTION NOTICE (https://doi.org/10.14302/issn.2692-1537.ijcv-25-5866) In December 2019, a novel coronavirus, now named as SARS-CoV-2, caused a series of acute atypical respiratory diseases in Wuhan, Hubei Province, China. The disease caused by this virus was termed COVID-19. The virus is transmittable between humans and has caused pandemic worldwide. The number of death tolls continues to rise and a large number of countries have been forced to do social distancing and lockdown. In humans, COVIDs mostly cause respiratory and gastrointestinal symptoms. Clinical manifestations range from a common cold to more severe disease such as bronchitis, pneumonia, severe acute respiratory distress syndrome, multi-organ failure and even death. Preliminary evidence suggests children are just as likely as adults to become infected with SARS-CoV-2 but are less likely to be symptomatic or develop severe symptoms. in our study , we consider the symptomatology , complications and mortality patterns of this disease in children.
Jun 2021 DOI 10.14302/issn.2692-1537.ijcv-21-3862
COVID-19 is a new infectious disease, which needs to explore the clinical value of white blood cell count and lymphocyte to provide help for diagnosis and treatment.COVID-19 cases were Selected that admitted to 2 hospitals in Guizhou, China. WBC and LYM in the 1st day, in the 4th day and in the 7th day after onset were collected. There were not any differences in The WBC and LYM in the 4th day and the 7th day between the two groups.WBC and LYM in the 1st day in the moderate group were lesser than in the mild group. WBC and LYM were no dynamic changes in the mild group. In moderate group, WBC and LYM in the 1st day were lesser than in the 4th day. The levels in the 4th day and the 7th day were no differences. The conclusion was In the early stage of COVID-19, the WBC and LYM in moderate patients were significantly decreased within 4 days after onset, and could be restored to normal level after 4-7 days. However, no dynamic changes were observed in mild patients within 7 days.
Apr 2021 DOI 10.14302/issn.2692-1537.ijcv-21-3741
Background Ethiopia confirmed its 1st case of COVID-19 on Friday 13th February 2020. The burden increased dramatically by August/2020. The conditions that led to this rise were not reviewed. Objective To exploreCOVID-19 related phenomena in Ethiopia during 2019-2020. Materials and Methods Review of journals, books, and letters to editors, e-sources, news, personal experiences, observations, and communications. Results The zoonotic source of SARS- CoV-2 (Severe Acute Respiratory Distress Syndrome- Coronavirus-2) is not confirmed. The precedent events; and exact mechanism of COVID-19 is not clear. Dynamic models were required on the time line of dynamics of COVID-19; dynamics of infectiousness of COVID-19, and mechanism of transmission of COVID-19. Incubatory carriers might have been missed. Screening based on temperature had been problematic. The time spent in the development of diagnostic test for COVID-19 might have contributed to the early spread. Uninterrupted flights to China during the epidemic by Ethiopian Airlines as well as uninterrupted domestic flights; IDP (Internally Displaced People); and others put Ethiopia (and other countries) at great risk. Demographic adjustment may not be applicable for Ethiopia due to lack of census which had to be conducted every 10 year, was conducted only in 2007. This adds to the problem of error projection. The impact of HIV (Human Immuno-Deficiency Virus Disease) and war in Ethiopia before 2000 might have had affected people who would be now old age and who would be at the most risk of death. This made the impact of COVID-19 to appear low as revealed by the lower number of COVID-related deaths in Ethiopia. There were also hesitations inconsistencies in case definitions; implementations of quarantine; and burial regulations. Conclusion Even though uninhibited foreign flight to China as well as domestic flights; inconsistencies in the implementation of regulations pertaining to COVID-19 have contributed to COVID- 19 emergence in Ethiopia, the absence of census; the demographic impact of HIV and war before 2000 might have made the impact of COVID-19 to appear low as revealed by the lower number of COVID-related deaths in Ethiopia. Recommendation Accurate and current evaluation of the impact of COVID-19 in Ethiopia may require the absence of census; demographic consequences of HIV; and war before 2000 into consideration.
Jan 2021 DOI 10.14302/issn.2769-2264.jw-20-3560
The hydrodynamic production considers the filtration of liquid from the pits, fenced with spools of Zhchukovskiy, through a layer of soil, underrunable by a well-permeable pressure aquifer, on the roof of which contains an impenetrable area. To study infiltration on the free surface of groundwater, a mixed regional multi-parametric task of the theory of analytical functions is formulated, which is solved by the Semibarinova-Kochina method and methods of conformal display of areas of special species characteristic of the tasks of underground hydromechanics. Refs. 24. Il. 4. Table 1.
Jan 2021 DOI 10.14302/issn.2766-8681.jcsr-21-3701
Background The novel coronavirus (COVID-19) suddenly appeared in Wuhan, Hubei since December 2019, and quickly swept across China, then the whole world. Today, after more than 100 days of fighting against the virus, China's epidemic has been effectively controlled, but when we looking at the entire world, the novel coronavirus has rampaged globally, especially in the United States and many European countries. This paper mainly studies the impact of COVID-19 outbreaks at Hubei Province and the United States, fits the given data and predicts future trends. Methods Based on the theoretical basis of traditional differential equations and SIR infectious disease model1, and combined with the actual situation to improve the model. Hubei Province is modeled in different time periods, and the effects of birth rate and natural mortality on the model are analyzed. Since the birth rate and natural mortality in the United States in recent years cannot be found, the epidemic situation in the United States can only be analyzed based on the absence of births and natural deaths. Finally, we used Netlogo2 to establish a closed environment (Small World), and combined with known data to conduct simulation experiments on COVID-19 infection. Findings Through the analysis of given data through the SIR model, it is found that before the Chinese government has taken comprehensive measures to cure patients (before 10 February), the number of patients in Hubei Province will reach the peak at the end of February, and will gradually decline thereafter, and on 20 March, the epidemic will be effectively controlled in the future, which coincides with the fact that Wuhan closed the last mobile cabin hospital on 10 March. On the other hand, after the Chinese government tried its best to cure the patients (after 21 February), the number of patients continued to decline over time and will reach 0 in mid-April, which is also consistent with the actual data. According to the factors of birth and natural death, the sensitivity analysis of the above model found that when the epidemic situation is at its peak, it has little effect on the curve, but when the epidemic situation gradually flattens, it still has a certain effect on the trend of the curve. Finally, looking at the situation in the United States, due to the high transmission rate, the number of patients in the United States continues to rise and is expected to reach its maximum in mid-June. We also use Netlogo to simulate the environment in which the virus spread, and find that the general trend of the curves is also consistent with the actual curves. Interpretation The Chinese government has taken various measures to deal with the novel coronavirus pneumonia, including the establishment of two temporary hospitals and dozens of sheltered hospitals, the temporary transformation of university dormitories into isolation rooms345, the closure of Wuhan, the ban on the movement of people and so on. These measures have helped to reduce the spread of the virus and greatly increased the patient's cure rate. But the US government ’s actions are not as effective as China’s, not only because the government ’s actions are inappropriate and untimely, and the people’s opposition to isolation has not subsided. As a result, the virus has spread widely in the United States. More than one million people have been infected with the virus, and tens of thousands of people have died from COVID-196.
Jan 2021 DOI 10.14302/issn.2692-1537.ijcv-20-3383
With the spread of the new coronavirus around the world, governments of various countries have begun to use the mathematical modeling method to construct some virus transmission models assessing the risks of spatial spread of the new coronavirus COVID-19, while carrying out epidemic prevention work, and then calculate the inflection point for better prevention and control of epidemic transmission. This work analyzes the spread of the new coronavirus in China, Italy, Germany, Spain, and France, and explores the quantitative relationship between the growth rate of the number of new coronavirus infections and time. In investigating the dynamics of a disease such as COVID-19, its mathematical representation can be constructed at many levels of details, guided by the questions the model tries to help answer. Mathematical sophistication may have to yield to a more pragmatic approach closer to the ability to make predictions that inform public health policies. Background In December 2019 , the first Chinese patients with pneumonia of unknown cause is China admitted to hospital in Wuhan, Hubei Jinyintan , since then, COVID-19 in the rapid expansion of China Wuhan, Hubei, in a few months time, COVID-19 is Soon it spread to a total of 34 provincial-level administrative regions in China and neighboring countries, and Hubei Province immediately became the hardest hit by the new coronavirus. In an emergency situation, we strive to establish an accurate infectious disease retardation growth model to predict the development and propagation of COVID-19, and on this basis, make some short-term effective predictions. The construction of this model has Relevant departments are helpful for the prevention and monitoring of the new coronavirus, and also strive for more time for the clinical trials of Chinese researchers and the research on vaccines against the virus to eliminate the new corona virus as soon as possible. Methods According to the original data change law, Establish a Logistic growth model, we collect and compare and integrate the spread of COVID-19 in China, Italy, France, Spain and Germany, record the virus transmission trend among people in each country and the protest measures of relevant government departments. Findings Based on the analysis results of the Logistic model model, the Logistic model has a good fitting effect on the actual cumulative number of confirmed cases, which can bring a better effect to the prediction of the epidemic situation and the prevention and control of the epidemic situation. Interpretation In the early stage of the epidemic, due to inadequate anti-epidemic measures in various countries, the epidemic situation in various countries spread rapidly. However, with the gradual understanding of COVI D -19, the epidemic situation began to be gradually controlled, thereby retarding growth
Aug 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3498
The paper proposes a new visualization scheme for the registry of Covid-19 cases by calculating the mantissa of the registered ones, so there is no need of performing complicated mathematical calculations. As an example, six countries are randomly selected: Australia, Brazil, China, Colombia, Portugal and Venezuela. The results show that China is the only country that keeps the epidemic under control, while Australia begins a new outbreak after having previously controlled the epidemic. Colombia and Portugal show a very similar behavior of registered cases and, finally, we can see that Venezuela, Brazil, Portugal, and Colombia present a growth of cases that may trigger new outbreaks in the future. Results are obtained from data registered at Johns Hopkins University until July 18th, 2020.
Jul 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3453
The present work analyzes the registered cases of Covid-19 throughout the world according the data registered at Johns Hopkins University. We selected 15 countries to analyze their data. In alphabetical order the countries are: Argentina, Australia, Brazil, Chile, China, Colombia, Germany, India, Italy, Mexico, Peru, Portugal, Spain, United States and Venezuela. With this information, three different studies were carried out. First, the data was validated using Benford's Law which is based on forensic techniques that allow us to guarantee the integrity of the information. Later, we calculated the value of the basic reproduction number (R0), ie., the number of secondary host infections caused by one primary host infection that helps us to determine if a country has an outbreak of Covid-19. Finally, we show that the best representation for the change in the number of cases in the time is to calculate the mantissa value, ie., the floating number obtained from the logarithm of the data.
Jun 2020 DOI 10.14302/issn.2641-4538.jphi-20-3442
The Covid-19 pandemic has swept rapidly from Wuhan, China to the entire globe in less than six months, infecting over 7 million people and claiming the lives of over 500,000. In the United States, greater than 2 million individuals have become infected and over 110,000 people killed. With no evidence of slowing of the coronavirus that causes Covid-19, public health authorities must prepare for possible sustained transmission of Covid-19, or a second wave into the Fall 2020, but with the presence of the influenza A virus. In the Fall 2020, schools will reopen from kindergarten to 12th grade. Dual pandemics or epidemics will result in high morbidity and mortality not observed when either virus was solely active. Community leaders, educational administrators and public health systems must be prepared for simultaneous outbreaks of both Covid-19 and influenza. Although there are no clinical studies that have evaluated the benefits on the use of face masks during an epidemic or pandemic, public health non-pharmaceutical intervention (NPIs) measures should include the routine use of face masks during school sessions. Using face masks with other NPI may interrupt viral transmission as it has been established that respiratory viruses, such as Covid-19 and the influenza virus are transmitted via respiratory droplets, aerosols, and environmental surface contact.
May 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3376
The goal of this paper is to analyze the registered cases of people who have been infected with Covid-19 registered from throughout the world, using a digital forensic analysis technique that is based on Benford's Law. Twenty-three countries were randomly chosen for this analysis: China, India, Germany, Brazil, Venezuela, Netherlands, Italy, Colombia, Russia, Norway, South Africa, Portugal, Singapore, United Kingdom, Chile, Ecuador, Egypt, Denmark, Ireland, France, Belgium, Australia and Croatia.. We calculate on the p-values based on Pearson χ2 and Mantissa Arc Test according to the results obtained with the first digit. If any country fails these two tests, a third proof will be carried out based on the Freedman-Watson test. The results indicated that results from Italy, Portugal, Netherlands, United Kingdom, Denmark, Belgium and Chile are suspicions of data manipulation because the numbers fail the Benford’s Law according to the results obtained until April 30, 2020. However, it is necessary to carry out further studies in these countries in order to ensure that they countries manipulate or altered the information.
May 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3344
Identifying the epidemiological characteristics of COVID-19 disease will help to make appropriate decisions and thus control the epidemic. Although many details, such as the source of the virus and its ability to spread between people remain unknown, an increasing number of cases show the signs of human-to-human transmission. The purpose of this review is to introduce the reservoir hosts, and the possible role of distributions of bat coronaviruses in China, and eventually to aim to predict virus natural hotspots and their cross-species transmission potential. Why bats can maintain coronaviruses long-term without showing clinical symptoms of diseases and what is allowing bats to have a higher tolerance against viral diseases. We need to unveil the mystery of unique bat immunity. Although bats are not in close contact with humans, spillover of viruses from bats to intermediate animal hosts like civet is thought to be the most likely mode to cause human infection. It appears that the coffee beans which are a rich source of chlorogenic acid are acting as a reservoir host and causative agent, and at the same time as a defense agent to create resistance in the consumers (bats and animals). It is assumed that the intake of chlorogenic acid should be capable of protecting human from contamination or severe morbidity.
Mar 2020 DOI 10.14302/issn.2766-8681.jcsr-21-3719
Background Since receiving unexplained pneumonia patients at the Jinyintan Hospital in Wuhan, China in December 2019, the new coronavirus (COVID-19) has rapidly spread in Wuhan, China and spread to the entire China and some neighboring countries. We establish the dynamics model of infectious diseases and time series model to predict the trend and short-term prediction of the transmission of COVID-19, which will be conducive to the intervention and prevention of COVID-19 by departments at all levels in mainland China and buy more time for clinical trials. Methods Based on the transmission mechanism of COVID-19 in the population and the implemented prevention and control measures, we establish the dynamic models of the six chambers, and establish the time series models based on different mathematical formulas according to the variation law of the original data. Findings The results based on time series analysis and kinetic model analysis show that the cumulative diagnosis of pneumonia of COVID-19 in mainland China can reach 36,343 after one week (February 8, 2020), and the number of basic regenerations can reach 4.01. The cumulative number of confirmed diagnoses will reach a peak of 87,701 on March 15, 2020; the number of basic regenerations in Wuhan will reach 4.3, and the cumulative number of confirmed cases in Wuhan will reach peak at 76,982 on March 20. Whether in Mainland China or Wuhan, both the infection rate and the basic regeneration number of COVID-19 continue to decline, and the results of the sensitivity analysis show that the time it takes for a suspected population to be diagnosed as a confirmed population can have a significant impact on the peak size and duration of the cumulative number of diagnoses. Increased mortality leads to additional cases of pneumonia, while increased cure rates are not sensitive to the cumulative number of confirmed cases. Interpretation Chinese governments at various levels have intervened in many ways to control the epidemic. According to the results of the model analysis, we believe that the emergency intervention measures adopted in the early stage of the epidemic, such as blocking Wuhan, restricting the flow of people in Hubei province, and increasing the support to Wuhan, had a crucial restraining effect on the original spread of the epidemic. It is a very effective prevention and treatment method to continue to increase investment in various medical resources to ensure that suspected patients can be diagnosed and treated in a timely manner. Based on the results of the sensitivity analysis, we believe that enhanced treatment of the bodies of deceased patients can be effective in ensuring that the bodies themselves and the process do not result in additional viral infections, and once the pneumonia patients with the COVID-19 are cured, the antibodies left in their bodies may prevent them from reinfection COVID-19 for a longer period of time.
Mar 2020 DOI 10.14302/issn.2641-4538.jphi-20-3264
Chinese people have a very good mask-wearing culture; it is normal to wear masks to protect their faces from wind and pollution. Thus, they easily accept the wearing of masks to prevent infectious diseases, as seen with the Corona Virus Disease 2019 (COVID-19) in China today. However, Chinese people have a dangerous eating culture: they share foods or soups from the same bowls and pots using their personal chopsticks/spoons and emphasize loud talking when eating at banquets or at homes. We think this eating culture has raised the infection risk of COVID-19 from person to person by contamination. Therefore, in this paper, we propose models to elucidate how people are infected with COVID-19 through droplet transmission when eating with Chinese cultural context to address the urgent need to change Chinese eating culture; we believe these study models can help not only the Chinese people, but also other national people, to raise mindfulness of public health, prevent COVID-19 and other infectious diseases, at the present pandemic and in the future.
Mar 2020 DOI 10.14302/issn.2576-6694.jbbs-20-3212
The possibility of applying the kinetic theory of aging of biological species published earlier by the authors of this work to assess and predict changes in the number of specific populations is evaluated. The populations of the USA, China and Russia, as well as the population of mice observed in the experiment "mouse paradise" of the American scientist John Calhoun are considered. To this end, a historically consistent analysis of the main previously proposed multi-scenario mathematical models describing demographic data and predicting the dynamics of the population was performed. The results of these models show a decrease in the population growth rate, a tendency toward a limit with an increase in historical time, the achievement of such a limit in some developed countries with a relatively high level of social security, a subsequent decrease in the number and further uncertainty of the final population outlook in the distant future. In addition, these models made it possible to establish that the observed population growth in developed countries is unambiguously accompanied by its aging - a relative predominant increase in the number of elderly people compared to the number of the younger generation (people are aging, the population of countries is aging). In this work, the assumption was made and confirmed that the dynamics of the aging of the population of the countries of the World corresponds to the dynamics of aging of a person of one generation and is mathematically described by the differential equation of the kinetic theory of aging of living systems of the same type with close values of the parameters. The biophysical meaning of the parameters of the kinetic equation reflects G. Selye's concept of the determining role of stress in human life and populations. An analysis of the changes in the numbers of the considered populations of humans and mice at various stages of their development is qualitatively commented on from the standpoint of comparative tension according to G. Selye. To assess the degree of aging of a biological object of one population in kinetic theory, the probability of death during life is selected as an indicator of aging. In this work, the probability of reaching the maximum population size was chosen as an indicator of the aging of a biological object of various populations. The published literature predicts various options for changing the population after reaching a maximum - maintaining the reached maximum level and decreasing to a certain limit, less than the maximum achieved. In this paper, based on an analysis of its results and an analogy with the complete degeneration of mice in the “mouse paradise” experiment, a conclusion is drawn about a hypothetically possible third variant of the limiting decrease in the population - its complete degeneration.
Nov 2018 DOI 10.14302/issn.2769-2264.jw-18-2393
We consider a plane steady-state filtration in a rectangular bridge with a partially impermeable vertical wall in the presence of evaporation from a free surface of groundwater. To study the effect of evaporation, a mixed multiparametric boundary-value problem of the theory of analytic functions is formulated and using the method of P. Y. Polubarinova-Kochina. Based on the proposed model, an algorithm is developed to calculate the dependence of efficiency and productivity of hydrodynamic analysis.
Mar 2018 DOI 10.14302/issn.2637-6075.jpae-18-1937
Hengshui Lake Wetland is the only national wetland and bird nature reserve in the North China Plain. It plays an important role in maintaining the species diversity and ecological balance. In recent years, due to industrial and agricultural production, infrastructure and ecological environment construction and other reasons, the infiltration, runoff, evapotranspiration and other water balance elements was changed, which reduced runoff into the lake. In order to ease the tense water resources situation in the region, Hengshui Lake is replenished each year by Yellow River water. Although Diversion Yellow River Wetland has made direct water supply protection, but also affected the ecology and environment of Hengshui Lake wetlands. In order to understand how artificial water diversion can affect the ecological environment of natural lakes, this paper analyzes the effects of artificial water storage on the water quality of the lake by using the measured data of water samples in the lake. The results showed that the water level of Hengshui Lake showed an upward trend after the diversion from the Yellow River. Comprehensive pollution index showed a downward trend, but Hengshui Lake wetlands are still slightly polluted. Diversion of Yellow River diversion into the lake of the ecological health of Hengshui also caused some impact.