12^th International Conference on Epidemiology & Public Health June 23-24, 2023 Paris, France

Biography:

Abstract:

Biography:

Abstract:

Hospitals play an important role in promoting health, preventing disease and providing rehabilitation services. The health care requirements are rapidly changing and the changes in healthcare practice are welcome if they improve quality and safety or save money. Preventing harm from medications, or adverse drug events (ADEs), remains a top patient safety priority in hospitals but also across the continuum of care for patients. Many hospitals have implementing medication reconciliation at admission, transfer, and discharge as an effective strategy for preventing medications errors. this presentation aims  to share prince sultan military medical city (PSMMC) Experience in implementing medication reconciliation.

Biography:

Abstract:

(1) Background: The relationship between COVID-19 outcomes and ABO blood groups, D-dimer, C.R.P. and Ferritin were investigated in many studies. In this study we aimed to explore the relationship between COVID-19 and different ABO blood groups, D-dimer, C.R.P. and Ferritin.

(2) Methods: This study included 600 patients, 276 males and 324 females. The study was conducted at a laboratory of Biology Department, Baghdad University, between March 2020 and March, 2021. All study participants were of Iraqis Arab nationality population and aged >70 years.

Biography:

Dr. Uchenna Iyioku Ugah is a lecturer at Alex Ekwueme Federal University Ndufu-Alike. He has a PhD in Biomedical Science with a specialty in medical microbiology, parasitology and epidemiology. His research  interests are; infectious diseases, parasitology, microbiology and bacteriology. His research which spans these areas have resulted in 36 publications in peer reviewed journals.

Abstract:

Statement of the problem: Based on their epidemiology, Hepatitis B virus (HBV), Hepatitis C virus (HCV) and Human Immunodeficiency virus (HIV), share the same routes of transmission and risk factors for infection. Methodology: This study was conducted to determine the epidemiology of HBV, HCV, HIV co-infection among residents of Alex Ekwueme Federal University Ndufu- Alike, Ebonyi State Nigeria who are mostly young adults. Three Hundred and Eighty-Four participants were enlisted for this study. Blood samples were collected and tested for presence of Hepatitis B surface antigen (HBsAg), Anti-HCV antibodies and HIV antibodies using first response antigen detection kits for HBV and HCV as well as Determine and StatPak kits for HIV. Data was analyzed using descriptive statistics, Chisquare was used to test the associations. Statistical significance was taken at P Ë‚ 0.05. Data was analyzed using SPSS version 20.0. Results: Results obtained from this study showed that the mean age of the participants was 24 years (SD: 5.343). The prevalence for HCV and HBV was 8.85% and 10.86% respectively. The occurrence of HBV and HCV co-infection was statistically non- significant (p ═ 0.50). However, the prevalence of HBV was statistically significant (p = 0.012) The prevalence of HIV was 5.99%.  A total of 5 (1.30%) had concomitant HBV, HCV and HIV infections. Also, 11 (2.86%) had HBV/HIV co-infection, 8(2.08%) had HCV/HIV co-infection while 5(1.30%) had HBV/HCV co-infections. All the participants were asymptomatic. Conclusion and Significance: This study demonstrated high prevalence of HBV, HCV and HIV and provides the first epidemiologic data on the prevalence of these viral infections among the population within the geographic region studied. To reduce the prevalence of the viral infections among the populations, preventive strategies should be developed and implemented. Also, further studies should be conducted to elucidate the epidemiological pattern of HIV, HCV and HBV concomitant infections in other States within south-eastern Nigeria.

Biography:

My name is Dr.Perepi.Rajarajeswari. Presently I am working as Associate professor, Department of Software systems, School of Computer science and Engineering, Vellore Institute of Technology, Vellore, Tamilnadu. India.

Abstract:

Computational intelligence means that the computers can able to complete the tasks by using intelligent being humans and animals. Currently We are using Machine learning approaches, Artificial intelligence approaches for solving complex problems in health care domain. Computational intelligence techniques are used for providing the solutions to health related problems.These type of techniques mainly used in healthcare environment by using computer techniques to perform clinical treatment and diagnoses. In current scenario We use Computational tools for permiting the data analysis due to environment changes.The results of Computational intelligence methods produces the better accuracy of design model and give more profit of medical fields by assembling patients.It produced healthcare facilities with effective treatement. In my research work deep learning approaches were used for COVID19 classification. Mathematical modelling approaches are also to use for predicting the COVID 19 virus disease.

Biography:

Joseph J. Joseph, BSc, MSc has expertise in disease surveillance, monitoring and evaluation and a passion to improve health and well-being. He currently works for Akros as Senior Data Scientist (SDS), supporting the National Malaria Control Programme in Tanzania. He primarily focusses on improving the malaria surveillance system, improving the quality and use of data for decision making. He provides support in digitizing the micro-stratification framework, linking to Health Management Information System (HMIS)/District Health Information System (DHIS2). He facilitated the implementation of malaria case-based surveillance in Zanzibar and parts of mainland Tanzania. Joseph is part of core team who implemented the DHIS2 and other health information systems in Tanzania such as Health Facility registry (HFR).

Abstract:

Tanzania has made remarkable progress in reducing malaria burden and aims to transition from malaria control to sub-national elimination. In 2013, electronic weekly and monthly reporting systems using the District Health Information System-2 were introduced. Weekly reporting was implemented through the Integrated Disease Surveillance and Response (eIDSR) system using mobile phones and progressively scaled-up from 67 health facilities (HFs) in 2013 to >7,000 HFs (100%) by 2020. This study aimed to describe the implementation of eIDSR and compare the accuracy of malaria indicators between weekly and monthly data to ascertain its usefulness for malaria outbreak detection. The indicators included were number of patients tested for malaria, number of confirmed malaria cases, and number treated presumptively for malaria (clinical cases). The analysis described the trend of reporting, testing, test positivity, and incidence per 1000 population. Comparisons of weekly and monthly reporting rates and incidence were performed for 2020 and 2021 and were stratified by malaria epidemiological strata (parasite prevalence: very low <1%, low 1≤5 %, moderate 5≤30%, and high >30%). Between 2020 and 2021, overall weekly reporting rates increased from 90.2% to 93.9%, while monthly reporting rates were 98.9% in 2020 and 98.7% in 2021. Confirmed malaria incidence from weekly data was 87.0 per 1000, which was 17.5% lower than monthly data in 2020, and 66.3 per 1000, which was 12.4% lower in 2021. For 2020 and 2021, incidences were the same across weekly and monthly data in the very low strata. Weekly reporting improved steadily over time, while reporting rates and malaria incidence were lower compared to monthly. Nonetheless, the concurrence of weekly and monthly annual reporting rates and incidence in very low strata suggests that eIDSR could be useful for early outbreak detection, and could reliably be expanded for CBS in very low epidemiological strata.

Biography:

Abstract:

Novel coronavirus led to significant disturbance throughout the globe, deteriorating mental health. Researchers suggested that imposed lockdowns and restricted movements during covid-19 had increased the probability of getting social anxiety. Studies reported different prevalence rates, some studies reported a very low prevalence (2-3%) whereas, others reported a very high prevalence (66-93%). Therefore, the current study investigated the overall prevalence of social anxiety during the covid-19 pandemic using the effect sizes of all the studies, proposing the prevalence of social anxiety during the pandemic period. The random effect model was used in the current systematic review and meta-analysis, following the assumption of different sources of heterogeneity. A systematic review was conducted, in addition to forest plot and sensitivity analysis suggesting that the Covid-19 pandemic had drastically increased the chances of getting social anxiety from at least 28% to 34%. Publication bias was assessed using a funnel plot, in addition to Egger’s regression test and trim and fill method. Moderator analysis of study-level data like age, gender, location, study design, and risk of bias was also performed and it was found that these moderators were insignificant and brought no or very little changes in the analysis. The protocol of the study was also registered in PROSPERO with CRD42022375902.

Biography:

Najeeb Altowiher has an experience in the medical field for almost a decade. He works in the first health cluster in Riyadh as a public health registrar. He is in charge of overseeing the public health directorate's quality and health excellence department and is in charge of his division's training and research. He supports investing in staff members' research and originality.

Abstract:

Objectives: To determine whether the increased tobacco price due to tax implementation on tobacco products (including cigarettes) has a significant effect on smoking cessation among Saudi Arabian adult smokers. Methods: An interviewer-administered questionnaire was used to obtain data from adult Saudi smokers and recent quitters attending smoking cessation clinics between January 2018 and September 2019. The responses of the participants were summarized and analyzed. Results: In total, 660 participants were interviewed, of which 98% were men who resided in the western region (33%). Taxation had no effect on smoking in 387 participants [58.6%; 95% confidence interval (CI): 54.9, 62.4], some effect in 220 participants (33.3%; 95% CI: 29.7, 36.9), and a substantial effect in 50 participants (7.6%; 95% CI: 5.6, 9.6). Strategies adopted to cope with the tax implementation included cutting down on the number of cigarettes smoked (302; 45.8%), changing to a cheaper brand of cigarette (151; 22.9%), purchasing in bulk (105; 15.9%), attempting to quit (453; 68.6%), and doing nothing (108; 16.4%). The rate of quitting smoking after attending the clinic was 20.7% (95% CI: 17.7, 23.9). Occupation (P = 0.003), education (P = 0.03), and current smoking habit (P = 0.07) were significantly associated with the impact of tobacco taxation. The strategies adopted in response to tax implementation on cigarettes were significantly associated with occupation (χ2 = 30, degrees of freedom = 12, P < 0.001). Conclusions: Tobacco taxation influenced 40% of the participants. Their attempts to opt for alternatives should be recognized in evaluating policies to reduce adverse health impacts caused by tobacco abuse.

Biography:

A Chief Public Health Professional Specialist with an extensive experience in Public health and Nutrition, Health system management, Emergency, program management in HIV/AIDS, and Malaria. I have served as a coordinator, trainer, and resource person in several training/workshops at regional, zonal and district level. Also, I have participated in various surveys and research projects at different parts of the country. Moreover, I have actively involved in teaching Public health courses at different Universities and Colleges, conducting researches, developing and managing projects; planning, budgeting, monitoring, and evaluation. Currently, I’m an Associate Professor of public health and nutrition. So, I am involved in teaching and research experiences, advice and examination of master's and Medical students during the preparation and thesis defense (external and internal examiners) in and out of the College.

Abstract:

Background: Anemia is a global public health problem that affects the population of both developed and developing countries. Globally, 289,000 women died, among which developing countries account for 286 000 maternal deaths. The aim of this study was to assess the magnitude and predictors of anemia among pregnant women.

Method and material: A hospital-based cross-sectional study design was employed. A total of 265 pregnant women attending antenatal care at Yabello general hospital from June 17-August 16 2019 were involved. Socio-demographic, maternal nutrition, information, and obstetric and medical characteristics were assessed. Hemoglobin value, stool examination, HIV, and syphilis test results were collected from their regular laboratory tests. Blood film was conducted for pregnant women who had signs and symptoms and whose hemoglobin value was less than the established cut of values and data were analyzed using SPSS version 20.0 software.

Results: the overall magnitude of anemia among pregnant women with a median hemoglobin value of 11.10g/dl ± 1.66 (range: 6.4-13.8g/dl), was 27.2 %, of which the majority of 46(63.9%) pregnant women were mildly anemic, the rest 24(33.3%) and 2(2.8%) were respectively moderately and severely anemic. Pregnant women who were urban dwellers (AOR, 95% CI: .18(.05-.64)), abortion before the occurrence of current pregnancy (AOR, 95% CI: 3.08(1.17-8.13)), coffee/tea drinking immediately after a meal (AOR, 95% CI: 4.39(1.82-10.59)), excessive menstrual bleeding than the usual before the occurrence of current pregnancy (AOR, 95% CI: 3.39(1.47-7.84)) and mid-upper arm circumference less than 23cm (AOR, 95% CI: 6.27(1.15-14.30)) were found to be independent predictors of anemia among pregnant women.

Conclusion the proportion that was found in this study is considered a moderate public health problem. In this study, some factors were found to be non-predictors of anemia among pregnant women, but they were found to be independent predictors of anemia among pregnant women in other prior related studies.

Biography:

Abstract:

Kendal's rating co-efficient approach is used to determine the severity of diseases. In a primary health centre, illness-specific morbidity rates are translated into fractions of the sum for particular disease. On the basis of these percentages, all primary health centres are arranged in decreasing order under the heading of each disease individually, and the percentage statistics are then translated into classes, i.e., each primary health centre is assigned a category of each disease (Suryawanshi D. S 2005). Finally, all of a primary health centre’s ranks are added together. The number of diseases prevalent in that primary health centre is separated by the total of grades, and the overall rating co-efficient value is calculated with help of the diseases ranking co-efficient value of primary health centre. For demarcating the disease intensity region disease ranking co-efficient values RC_1, RC_2, RC_3…….RC_n are grouped into four classes according to quartiles. These classes are high intensity, moderately higher intensity, moderate intensity and low disease intensity.