Expanding telemedicine to reduce the burden on the healthcare systems and poverty in Africa for a post-coronavirus disease 2019 (COVID-19) pandemic reformation

The coronavirus disease 2019(COVID-19)global public health emergency,has exposed the fragility of health systems.Access to healthcare became a scarce commodity as healthcare providers and resource-poor popula­tions became victims of the novel corona virus.Therefore,this study focuses on Africa’s readiness to integrate telemedicine into the weak health systems and its adoption may help alleviate poor healthcare and poverty after COVID-19.We conducted a narrative review through different search strategies in Scopus on January 20,2021,to identify available literature reporting implementation of various telemedicine modes in Africa from January 1,2011 to December 31,2020.We summarized 54 studies according to geographies,field,and implementation methods.The results show a willingness to adopt telemedicine in the resource-poor settings and hard-to-reach populations,which will bring relief to the inadequate healthcare systems and alleviate poverty of those who feel the burden of healthcare cost the most.With adequate government financing,telemedicine promises to enhance the treating of communicable and non-communicable diseases as well as support health infrastructure.It can also alleviate poverty among vulnerable groups and hard-to-reach communities in Africa with adequate government financing.However,given the lack of funding in Africa,the challenges in implementing telemedicine require global and national strategies before it can yield promising results.This is especially true in regards to alleviating the multidimensionality of poverty in post-COVID-19 Africa.

An Analysis of Liberia’s Vulnerability to Climate Change in the Context of Least Developed Countries (LDCs): A Review

Climate change is an alarming global challenge, particularly affecting the least developed countries (LDCs) including Liberia. These countries, located in regions prone to unpredictable temperature and precipitation changes, are facing significant challenges, particularly in climate-sensitive sectors such as mining and agriculture. LDCs need more resilience to adverse climate shocks but have limited capacity for adaptation compared to other developed and developing nations. This paper examines Liberia’s susceptibility to climate change as a least developed country, focusing on its exposure, sensitivity, and adaptive capacity. It provides an overview of LDCs and outlines the global distribution of carbon dioxide emissions. The paper also evaluates specific challenges that amplify Liberia’s vulnerability and constrain sustainable adaptation, providing insight into climate change’s existing and potential effects. The paper emphasizes the urgency of addressing climate impacts on Liberia and calls for concerted local and international efforts for effective and sustainable mitigation efforts. It provides recommendations for policy decisions and calls for further research on climate change mitigation and adaptation.

Swarming Computational Techniques for the Influenza Disease System

The current study relates to designing a swarming computational paradigm to solve the influenza disease system(IDS).The nonlinear system’s mathematical form depends upon four classes:susceptible individuals,infected people,recovered individuals and cross-immune people.The solutions of the IDS are provided by using the artificial neural networks(ANNs)together with the swarming computational paradigm-based particle swarmoptimization(PSO)and interior-point scheme(IPA)that are the global and local search approaches.The ANNs-PSO-IPA has never been applied to solve the IDS.Instead a merit function in the sense of mean square error is constructed using the differential form of each class of the IDS and then optimized by the PSOIPA.The correctness and accuracy of the scheme are observed to perform the comparative analysis of the obtained IDS results with the Adams solutions(reference solutions).An absolute error in suitable measures shows the precision of the proposed ANNs procedures and the optimization efficiency of the PSOIPA.Furthermore,the reliability and competence of the proposed computing method are enhanced through the statistical performances.

Assessing the Impacts of Climate Change on Water-Borne Diseases: A Comparative Study on Taltali Upazila of Barguna District

Objectives: To determine the economic challenges brought on by water-borne illnesses as a result of climate change. In addition to identifying potential access to safe drinking water during climate change and potential health hurdles brought on by water-related diseases, it is important to learn how to reduce the spread of water-borne diseases. Methods: A mixed method design was adopted to evaluate this research, and probability sampling, more specifically simple random sampling, was used to select to sample from the target population. The study was conducted in Taltali upazila of the Barguna district, and data was collected from 384 respondents;among them, 5 respondents were selected for the key informant interview. The research project began in June 2022 and was completed in December 2022. Results: 41.4% of respondents said they suffer from dysentery, 22.4% said the expense of treating water-borne diseases has increased as a result of climate change, and 37.8% said they must travel great distances to obtain clean drinking water. Currently, 41.7% of individuals utilize tube-well water, compared to 19.3% five to ten years ago, and 27.4% have been taught that water filtration helps reduce the spread of water-borne diseases. Conclusions: People’s vulnerability to climate change in the study area is a result of factors such as rapid population increase, unequal access to resources, food insecurity, a long distance to collect water, inadequate medical facilities, a lack of poverty, and a weak health system.

Predictive Mathematical and Statistical Modeling of the Dynamic Poverty Problem in Burundi: Case of an Innovative Economic Optimization System

The mathematical and statistical modeling of the problem of poverty is a major challenge given Burundi’s economic development. Innovative economic optimization systems are widely needed to face the problem of the dynamic of the poverty in Burundi. The Burundian economy shows an inflation rate of -1.5% in 2018 for the Gross Domestic Product growth real rate of 2.8% in 2016. In this research, the aim is to find a model that contributes to solving the problem of poverty in Burundi. The results of this research fill the knowledge gap in the modeling and optimization of the Burundian economic system. The aim of this model is to solve an optimization problem combining the variables of production, consumption, budget, human resources and available raw materials. Scientific modeling and optimal solving of the poverty problem show the tools for measuring poverty rate and determining various countries’ poverty levels when considering advanced knowledge. In addition, investigating the aspects of poverty will properly orient development aid to developing countries and thus, achieve their objectives of growth and the fight against poverty. This paper provides a new and innovative framework for global scientific research regarding the multiple facets of this problem. An estimate of the poverty rate allows good progress with the theory and optimization methods in measuring the poverty rate and achieving sustainable development goals. By comparing the annual food production and the required annual consumption, there is an imbalance between different types of food. Proteins, minerals and vitamins produced in Burundi are sufficient when considering their consumption as required by the entire Burundian population. This positive contribution for the latter comes from the fact that some cows, goats, fishes, ···, slaughtered in Burundi come from neighboring countries. Real production remains in deficit. The lipids, acids, calcium, fibers and carbohydrates produced in Burundi are insufficient for consumption. This negative contribution proves a Burundian food deficit. It is a decision-making indicator for the design and updating of agricultural policy and implementation programs as well as projects. Investment and economic growth are only possible when food security is mastered. The capital allocated to food investment must be revised upwards. Demographic control is also a relevant indicator to push forward Burundi among the emerging countries in 2040. Meanwhile, better understanding of the determinants of poverty by taking cultural and organizational aspects into account guides managers for poverty reduction projects and programs.

Rudolf Virchow, poverty and global health: from “politics as medicine on a grand scale” to “health in all policies”

The German pathologist and politician Rudolf Virchow proposed the concept of sociomedical causation,em­phasising the role of social and environmental factors in the aetiology and prevention of diseases.Virchow’s achievements are threefold:he was a founder of scientific biomedicine,he characterised medicine as a social science as much as a biological science and he promoted and improved public health.In his landmark report of a typhus epidemic in mid-19th century Germany,Virchow drew a connection between the epidemic and poverty and living conditions.He proposed radical social reform and stated that,“medicine is social science and politics nothing but medicine on a grand scale”.The task of medicine was therefore not merely to treat disease but also to contribute to the health of the entire population.Virchow realised that,in order to improve the health of the public,medicine must attend to both its biological and social underpinnings.His work has had far-reaching con­sequences for the development of public health and medical sociology.As in Virchow’s times,poverty,deprived living conditions,malnutrition,crowding and economic insecurity determine to a high degree the prevalence of disease and life expectancy in low-and middle-income countries today.Sociomedical causation is not limited to infectious diseases but also extends to the contemporary pandemics of non-communicable diseases.Obesity and other non-communicable diseases cannot be addressed effectively without considering and acting on the social determinants of health.The concept of“health in all policies”has emerged with the goal of promoting political action addressing the social determinants of health.This concept concerns prevention of disease,promotion of a healthy lifestyle and improvement of factors potentially harmful to the health of entire populations.The current“health-in-all-policies”reforms in China may advance the global evidence base for the prevention of chronic disease in low-,middle-and high-income countries.

Transumbilical enterostomy for Hirschsprung’s disease with a two-stage laparoscopy-assisted pull-through procedure

BACKGROUND A one-stage laparoscopic operation has recently been considered a favorable option for the management of patients with Hirschsprung's disease(HD)due to its superior cosmetic results.One-stage transanal endorectal pull-through for the treatment of rectosigmoid HD has been widely used in newborns without complications.However,enterostomy is required in some HD cases for enterocolitis and dilated colon.Our transumbilical enterostomy(TUE)and twostage laparoscopy-assisted anorectoplasty were effective and achieved a similar cosmetic effect to one-stage laparoscopy on the abdominal wall in patients with anorectal malformation,but the effect in patients with HD is unclear.AIM To evaluate the safety,efficacy and cosmetic results of TUE in two-stage laparoscopy-assisted pull-through for HD.METHODS From June 2013 to June 2018,53 patients(40 boys,13 girls;mean age at enterostomy:5.5±2.2 mo)who underwent enterostomy and two-stage laparoscopy-assisted pull-through for HD with stoma closure were reviewed at our institution.Two enterostomy approaches were used:TUE in 24 patients,and conventional abdominal enterostomy(CAE)in 29 patients.Eleven patients with rectosigmoid HD had severe preoperative enterocolitis or a dilated colon.26 patients had long-segment HD,and 16 patients had total colonic aganglionosis(TCA).The patients with left-sided HD underwent the two-stage laparoscopic Soave procedure,and the patients with right-sided HD and TCA underwent the laparoscopic Duhamel procedure.Demographics,enterostomy operative time,complications and cosmetic results were respectively evaluated.RESULTS There were no differences between the groups with respect to gender,age at enterostomy,weight and clinical type(P>0.05).No conversion to open technique was required.Two patients experienced episodes of stomal mucosal prolapse in the TUE group and 1 patient in the CAE group(8.33%vs 3.45%,P>0.05).No parastomal hernia was observed in either of the two groups.Wound infection at the stoma was seen in 1 case in the TUE group,and 2 cases in the CAE group(4.17%vs 6.90%,P>0.05).No obstruction was noted in any of the patients in the TUE group,whereas obstruction was found in 1 patient in the CAE group.Enterocolitis was observed in 3 and 5 patients in the TUE and CAE group,respectively(12.50%vs 17.24%,P>0.05).There was no significant difference between the TUE group and CAE group in terms of the incidence of soiling and constipation(P>0.05).The cosmetic result using the scar score in the TUE group was better than that in the CAE group(6.83±0.96 vs 13.32±1.57,P<0.05).CONCLUSION TUE is a safe and feasible method for the treatment of HD,and the staged enterostomy and two-stage laparoscopy-assisted pull-through achieved a similar cosmetic effect to the one-stage laparoscopic procedure.

Chronic liver disease questionnaire:Translation and validation in Thais

AIM:Quality of life (QOL) is a concept that incorporates many aspects of life beyond“health”.The chronic liver disease questionnaire (CLDQ) was developed to evaluate the impact of chronic liver diseases (CLD) on QOL.The objectives of this study were to translate and validate a liver specific questionnaire,the CLDQ. METHODS:The CLDQ was formally translated from the original version to Thai language with permission.The translation process included forward translation,back translation,cross-cultural adaptation and a pretest.Reliability and validity of the translated version was examined in CLD patients.Enrolled subjects included CLD and normal subjects with age- and sex-matched.Collected data were demography, physical findings and biochemical tests.All subjects were asked to complete the translated versions of CLDQ and SF- 36,which was previously validated.Cronbach's alpha and test-retest were performed for reliability analysis.One-way Anova or non-parametric method was used to determine discriminant validity.Speerman's rank correlation was used to assess convergent validity.P-value<0.05 was considered statistically significant. RESULTS:A total of 200 subjects were recruited into the study,with 150 CLD and 50 normal subjects.Mean ages (SD) were 47.3(11.7) and 49.1(8.5) years,respectively.The number of chronic hepatitis:cirrhosis was 76:74,and the ratio of cirrhotic patients classified as Child A:B:C was 37 (50%):26(35%):11(15%).Cronbach's alpha of the overall CLDQ scores was 0.96 and of all domains were higher than 0.93.Item-total correlation was>0.45.Test-retest reliability done at 1 to 4 wk apart was 0.88 for the average CLDQ score and from 0.68 to 0.90 for domain scores.The CLDQ was found to have discriminant validity.The highest scores of CLDQ domains were in the normal group,scores were lower in the compensated group and lowest in the decompensated group.The significant correlation between domains of the CLDQ and SF-36 was found.The average CLDQ score was strongly correlated with the general health domain of SF-36.(P=0.69:P=0.01). CONCLUSION:The translated CLDQ is valid and applicable in Thais with CLD.CLDQ reveals that QOL in these patients is lower than that in normal population.QOL is more impaired in advanced stage of CLD.

Study of Fractional Order Dynamical System of Viral Infection Disease under Piecewise Derivative

This research aims to understand the fractional order dynamics of the deadly Nipah virus(NiV)disease.We focus on using piecewise derivatives in the context of classical and singular kernels of power operators in the Caputo sense to investigate the crossover behavior of the considered dynamical system.We establish some qualitative results about the existence and uniqueness of the solution to the proposed problem.By utilizing the Newtonian polynomials interpolation technique,we recall a powerful algorithm to interpret the numerical findings for the aforesaid model.Here,we remark that the said viral infection is caused by an RNA type virus which can transmit from animals and also from an infected person to person.Fruits bats which are also known as flying foxes are one of the sources of transmission of NiV disease.Here in this work,we investigate its transmission mechanism through some new concepts of fractional calculus for further analysis and prediction.We present the approximate results for different compartments using different fractional orders.By using the piecewise derivative concept,we detect the crossover ormulti-steps behavior in the transmission dynamics of the mentioned disease.Therefore,the considered form of the derivative is used to deal with problems exhibiting crossover behaviors.

Bio-Inspired Modelling of Disease Through Delayed Strategies

In 2020,the reported cases were 0.12 million in the six regions to the official report of the World Health Organization(WHO).For most children infected with leprosy,0.008629 million cases were detected under fifteen.The total infected ratio of the children population is approximately 4.4 million.Due to theCOVID-19 pandemic,the awareness programs implementation has been disturbed.Leprosy disease still has a threat and puts people in danger.Nonlinear delayed modeling is critical in various allied sciences,including computational biology,computational chemistry,computational physics,and computational economics,to name a few.The time delay effect in treating leprosy delayed epidemic model is investigated.The whole population is divided into four groups:those who are susceptible,those who have been exposed,those who have been infected,and those who have been vaccinated.The local and global stability of well-known conclusions like the Routh Hurwitz criterion and the Lyapunov function has been proven.The parameters’sensitivity is also examined.The analytical analysis is supported by computer results that are presented in a variety of ways.The proposed approach in this paper preserves equilibrium points and their stabilities,the existence and uniqueness of solutions,and the computational ease of implementation.

Infectious Diseases of Poverty,the first five years

Although the focus in the area of health research may be shifting from infectious to non-communicable diseases,the infectious diseases of poverty remain a major burden of disease of global health concern.A global platform to communicate and share the research on these diseases is needed to facilitate the translation of knowledge into effective approaches and tools for their elimination.Based on the“One health,One world”mission,a new,openaccess journal,Infectious Diseases of Poverty(IDP),was launched by BioMed Central in partnership with the National Institute of Parasitic Diseases(NIPD),Chinese Center for Disease Control and Prevention(China CDC)on October 25,2012.Its aim is to identify and assess research and information gaps that hinder progress towards new interventions for a particular public health problem in the developing world.From the inaugural IDP issue of October 25,2012,a total of 256 manuscripts have been published over the following five years.Apart from a small number of editorials,opinions,commentaries and letters to the editor,the predominant types of publications are research articles(69.5%)and scoping reviews(21.5%).A total of 1081 contributing authors divided between 323 affiliations across 68 countries,territories and regions produced these 256 publications.The journal is indexed in major international biomedical databases,including Web of Science,PubMed,Scopus and Embase.In 2015,it was assigned its first impact factor(4.11),which is now 2.13.During the past five years,IDP has received manuscripts from 90 countries,territories and regions across six continents with an annual acceptance rate of all contributions maintained at less than 40%.Content analysis shows that neglected tropical diseases(NTDs),followed by the“Big Three”(HIV/AIDS,malaria and tuberculosis)and infectious diseases in general comprise 88%of all publications.In addition,a series of 10 thematic issues,covering 118 publications in all,was published as separate parts of the first five volumes.These publications were cited 975 times,which equals an average of 8.3 times per publication.The current challenge is to identify cutting-edge research topics and attract and to publish first-rate publications leading to increasing importance and impact of the journal in its field.

Dynamics of Fractional Differential Model for Schistosomiasis Disease

In the present study,a design of a fractional order mathematical model is presented based on the schistosomiasis disease.To observe more accurate performances of the results,the use of fractional order derivatives in the mathematical model is introduce based on the schistosomiasis disease is executed.The preliminary design of the fractional order mathematical model focused on schistosomiasis disease is classified as follows:uninfected with schistosomiasis,infected with schistosomiasis,recovered from infection,susceptible snail unafflicted with schistosomiasis disease and susceptible snail afflicted with this disease.The solutions to the proposed system of the fractional order mathematical model will be presented using stochastic artificial neural network(ANN)techniques in conjunction with the LevenbergMarquardt backpropagation(LMBP),referred to as ANN-LMBP.To illustrate the preciseness of the ANN-LMBP method,mathematical presentations of three different values focused on fractional order will be performed.These statics performances are taken in these investigations are 78%and 11%for both learning and certification.The accuracy of the ANN-LMBP method is determined by comparing the values obtained by the database Adams-Bash forth-Moulton scheme.The simulation-based error histograms(EHs),MSE,recurrence,and state transitions(STs)will be offered to achieve the capability,accuracy,steadiness,abilities,and finesse of the ANN-LMBP method.

Evaluation of a new Tunisian version of behcet’s disease current activity form

Background: Beh&#231;et’s Syndrome (BS) is characterized by a heterogeneous vessel involvement, a fluctuating natural history and by the absence of biological markers correlated to disease activity that’s why objective clinical scores are needed for the assessment of its activity. The Beh&#231;et’s Disease Clinical Activity Form (BDCAF) is the most recent and widely used clinical activity score. Objectives: To perform a cross-cultural adaptation of the Beh&#231;et’s Disease Current Activity Form (BDCAF) to the Tunisian Dialect (Arabic Language) and to evaluate the metrological characteristics of the Tunisian version (Tu-BDCAF) especially its reliability in BD activity evaluation. Methods: Cross-cultural adaptation was done according to the established guidelines. Reliability of Tu-BDCAF was tested among 40 BD patients (mean age: 38 years, sex ratio: 1.37). Patients were questioned by two BD specialists at 20 minutes interval to evaluate inter-observer reproducibility and twice by the same physician at 48 hours interval to assess the intra-observer reproducibility. k Coefficient was used to test the concordance between qualitative variables and correlation between quantitative variables was evaluated used Pearson coefficient and Bland and Altman graphical method. Results: There was a good correlation between global scores calculated by the two physicians on the same day (r = 0.94, p < 0.0001) and also between the scores calculated by the same clinician at different times (r = 0.98, p k Coefficient analyses demonstrated a good intra and inter observer reliability for all the Tu-BDCAF items excepted for diarrhea and Clinician’s impression. As the original version, Tu-BDCAF is an objective, easy-calculated and reliable index for assessing disease activity in BD. The main limit of the BDCAF score remains the absence of a cut-off point defining BD activity. Conclusion: Tu-BDACF is a Tunisian version of the BDCAF score which can be used in routine to assess BD activity but also in international studies and clinical trials.

2021-2022年洛阳市涧西区作业场所职业病危害因素的监测结果及具体防控策略研究

目的统计洛阳市涧西区各作业场的职业病危害因素,分析职业病发生的主要原因,并探讨具体防控策略。方法收集洛阳市涧西区内2021年1月—2022年12月期间针对各作业场的职业病危害因素监测信息,录入Excel 2010进行数据统计;随机抽取辖区内200名重点职业从业人员,开展回顾性分析,结合职业健康检查结果,将确认存在职业病的115名从业人员列为病例组,其余未发生职业病的85名从业人员列为对照组,比较2组一般资料、临床资料,经统计学单因素、Logistic多因素回归分析归纳可导致职业病发生的影响因素,结合分析结果,探讨具体防控措施。结果针对辖区内15家厂矿企业,2021年共设立584个监测点,共测得68处锰及其化合物危害、48处矽尘危害、4处苯及其苯系物危害、12处噪声危害,超标率为22.60%(132/584);2022年共设立1575个监测点,共测得158处粉尘危害、154处锰及其化合物危害、10处矽尘危害、13处噪声危害,超标率为21.27%(335/1575);单因素分析结果显示,2组从业人员的年龄、工作年限、职业类型、体检频率、体检结果等比较差异均存在统计学意义;Logistic多因素回归分析显示,年龄≥50岁,工作年限≥10年,从事制造业、采矿业,未规律体检,血常规异常,免疫力差,X线胸片异常,双耳高频听力阈值≥40 dB均是发生职业病的重要原因(均P<0.05)。结论洛阳市涧西区的职业危害因素以粉尘、锰及其化合物为主,高龄、工作年限长的制造业、采矿业人员发生职业病的风险相对较高,优化职业病防治措施并规范上述重点人群的职业健康体检能实现对职业病的有效防控。

组长负责制分层管理模式在急诊护理管理中的应用效果研究

目的探讨在实施急诊护理管理期间组长负责制分层管理模式的应用效果。方法选取2020年3月—2022年5月寿光市人民医院急诊科40名护理人员为研究对象,并根据不同管理模式分为两组,各20名。参照组采用常规管理模式,研究组采用组长负责制分层管理模式。对比两组护理人员的急诊护理管理结果。结果研究组对管理方法满意度为95.00%(19/20),高于参照组的70.00%(14/20),差异有统计学意义(χ^(2)=4.329,P<0.05)。研究组病情掌握程度评分、护理人员考核成绩以及护理基础技术能力评分均高于参照组,差异有统计学意义(P均<0.05)。结论医院在实施急诊护理管理期间,组长负责制分层管理模式的有效应用,可将急诊护理管理水平显著提升。

农村老年慢性病患者健康贫困脆弱风险指标体系构建

目的构建农村老年慢性病患者健康贫困脆弱风险指标体系。方法通过文献研究、半结构式访谈、实地调研、专家咨询及层次分析法,确定农村老年慢性病患者健康贫困脆弱风险指标及各指标权重。结果2轮专家咨询问卷回收率分别为100%、94.1%,专家权威系数分别为0.918、0.928,肯德尔和谐系数分别为0.201、0.242(均P<0.05)。最终形成的农村老年慢性病患者健康贫困脆弱风险指标体系包括6个一级指标、19个二级指标、78个三级指标。结论构建的农村老年慢性病患者健康贫困脆弱风险指标体系具有较高的可靠性、合理性,可为农村老年慢性病患者健康贫困脆弱风险识别和应对提供参考。

距舟楔骨融合术治疗Müller-Weiss病:20例5年中期随访

目的探讨距舟楔关节融合治疗Müller-Weiss病至少5年中期随访的临床疗效。方法回顾性分析2015年1月至2018年8月于我院行距舟楔关节融合治疗的Müller-Weiss病20例(20足)患者,并评估其影像学参数(术前、术后3个月和末次随访)、临床疗效(术前、术后两年和末次随访)及并发症。结果20例患者均获得随访,平均随访时间为(72.05±8.86)月(60~93月),跟骨Pitch角(calcaneal pitch angle,CPA)、侧位Meary's角(Tomeno-Mearyangle,TMA)、前后位(AP)Meary's角、距舟覆盖角(talonavicular coverage angle,TCA)在术前和术后3个月存在显著差异(P<0.05),术后3个月的影像学结果与最终随访时无显著性差异(P>0.05)。末次随访时AOFAS和VAS评分较术前及术后两年均显著改善(P<0.05)。3名患者出现早期并发症,5名患者出现晚期并发症,1名患者接受了第二次手术(跟骨截骨术)治疗。结论距舟楔关节融合结合自体髂骨取骨植骨治疗Müller-Weiss病疗效可靠,并且其疗效可以维持到中期随访。

贫血疾病诊断中血液检验方式的应用效果研讨

目的探讨血液检验方式对贫血疾病的诊断效果。方法选取贫血疾病患者80例进行诊断研究,将其设为研究组;选择同期健康体检者80例进行诊断研究,将其设为参照组。两组研究对象均采集血液完成检验操作,比较两组血液检验结果以及各种类型贫血疾病的血常规检验结果。结果研究组红细胞平均体积、血红蛋白、红细胞计数、红细胞平均血红蛋白含量、红细胞分布宽度变异系数分别为(92.75±4.29)fl、(60.09±6.39)g/L、(2.09±0.35)×10^(12)/L、(22.96±3.66)pg、(18.93±2.23)%,参照组分别为(88.75±3.25)fl、(125.69±12.25)g/L、(4.35±0.49)×10^(12)/L、(28.26±2.29)pg、(12.45±2.49)%。与参照组红细胞计数、血红蛋白以及红细胞平均血红蛋白含量展开比较,研究组呈现出显著降低(P<0.05);与参照组红细胞平均体积以及红细胞分布宽度变异系数展开比较,研究组呈现出显著提升(P<0.05)。同参照组红细胞平均体积、血红蛋白、红细胞平均血红蛋白含量以及红细胞计数比较,缺铁性贫血患者呈现出显著降低,同参照组红细胞分布宽度变异系数比较,缺铁性贫血患者呈现出显著提升(P<0.05);同参照组比较,巨幼细胞性贫血以及溶血性贫血红细胞计数以及血红蛋白呈现出显著降低,红细胞分布宽度变异系数以及红细胞平均体积呈现出显著提升;同参照组红细胞平均血红蛋白含量比较,巨幼细胞性贫血患者呈现出显著降低(P<0.05);同参照组红细胞平均血红蛋白含量比较,溶血性贫血患者未呈现出显著差异(P>0.05);同参照组红细胞分布宽度变异系数比较,地中海贫血患者未呈现出显著差异(P>0.05);同参照组红细胞平均体积、血红蛋白、红细胞平均血红蛋白含量以及红细胞计数比较,地中海贫血患者均呈现出显著降低(P<0.05)。结论临床针对贫血疾病患者实施诊断期间,血液检验方式可对红细胞参数异常情况及时发现,并且在不同贫血疾病鉴别诊断中表现出显著应用价值。

Tackling the existing burden of infectious diseases in the developing world: existing gaps and the way forward

This series evaluates the effectiveness of community-based interventions(CBIs)to prevent and control infectious diseases of poverty(IDoP).Evidence from our reviews suggests that CBIs and school-based delivery platforms are effective in averting risk behaviors and reducing the disease burden.Co-implementation of interventions through existing community-based programs including immunization campaigns,antenatal care and maternal and child health programs have the potential to scale-up interventions for IDoP.Future research should focus on the process of developing and implementing efficient community-based programs through a comprehensive approach,and to gauge the effectiveness of various existing delivery models in order to improve morbidity and mortality outcomes.