scholarly journals Molecular characteristics of rotavirus genotypes circulating in the south of Benin, 2016–2018

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Jijoho Michel Agbla ◽  
Mathew D. Esona ◽  
Alidehou Jerrold Agbankpe ◽  
Annick Capo-Chichi ◽  
Rashi Gautam ◽  
...  
Keyword(s):  
World Health ◽  
Molecular Characteristics ◽  
Predominant Genotype ◽  
Pcr Multiplex ◽  
One Step ◽  
Stool Samples ◽  
Pcr Method ◽  
Health Organization ◽  
P Type ◽  
Children Under 5

Abstract Objective Rotavirus remains the main causative agent of gastroenteritis in young children in countries that have not yet introduced the vaccine. In Benin, rotavirus vaccine was introduced late December 2019 into the EPI. This study aims to provide pre-vaccination era rotavirus genotyping data in Benin. These data can supplement data from the surveillance system of Ministry of Health of Benin which is supported by the World Health Organization (WHO). Results Of the 420 diarrheal stool samples, actively collected in southern Benin from July 2016 through November 2018 from children under 5 years old and suffering from gastroenteritis, 167 (39.8%) samples were rotavirus EIA positive. 186 (44.3%) samples contained amplifiable rotavirus RNA detected by qRT-PCR method and were genotyped using one-step RT-PCR multiplex genotyping method. G1P[8] represents the predominant genotype (32%) followed by the G2P[4] (26%), G3P[6] (16%), G12P[8] (13%) and mixed G and P types (1%). Four samples (2%) could not be assigned both G and P type specificity.

scholarly journals Molecular characteristics of rotavirus genotypes circulating in the south of Benin, 2016-2018

2020 ◽  
Author(s):  
Jijoho Michel Agbla ◽  
Mathew D Esona ◽  
Alidéhou Jerrold Agbankpé ◽  
Annick Capo-Chichi ◽  
Rashi Gautam ◽  
...  
Keyword(s):  
World Health ◽  
Molecular Characteristics ◽  
Rt Pcr ◽  
Predominant Genotype ◽  
Pcr Multiplex ◽  
One Step ◽  
Stool Samples ◽  
Pcr Method ◽  
Health Organization ◽  
P Type

Abstract Objective: Rotavirus remains the main causative agent of gastroenteritis in young children in countries that have not yet introduced the vaccine. In Benin, rotavirus vaccine was introduced late December 2019 into the EPI. This study aims to provide pre-vaccination era rotavirus genotyping data in Benin. These data can supplement data from the surveillance system of Ministry of Health of Benin which is supported by the World Health Organization (WHO).Results: Of the 420 diarrheal stool samples, actively collected in southern Benin from July 2016 through November 2018 from children under five years old and suffering from gastroenteritis, 167 (39.8%) samples were rotavirus EIA positive. 186 (44.3%) samples contained amplifiable rotavirus RNA detected by qRT-PCR method and were genotyped using one-step RT-PCR multiplex genotyping method. G1P[8] represents the predominant genotype (32%) followed by the G2P[4] (26%), G3P[6] (16%), G12P[8] (13%) and mixed G and P types (1%). Four samples (2%) could not be assigned both G and P type specificity.

scholarly journals Molecular characteristics of rotavirus genotypes circulating in the south of Benin, 2016-2018

2021 ◽  
Author(s):  
Jijoho Michel Agbla ◽  
Mathew D Esona ◽  
Alidéhou Jerrold Agbankpé ◽  
Annick Capo-Chichi ◽  
Rashi Gautam ◽  
...  
Keyword(s):  
World Health ◽  
Molecular Characteristics ◽  
Rt Pcr ◽  
Predominant Genotype ◽  
Pcr Multiplex ◽  
One Step ◽  
Stool Samples ◽  
Pcr Method ◽  
Health Organization ◽  
P Type

Abstract ObjectiveRotavirus remains the main causative agent of gastroenteritis in young children in countries that have not yet introduced the vaccine. In Benin, rotavirus vaccine was introduced late December 2019 into the EPI. This study aims to provide pre-vaccination era rotavirus genotyping data in Benin. These data can supplement data from the surveillance system of Ministry of Health of Benin which is supported by the World Health Organization (WHO).ResultsOf the 420 diarrheal stool samples, actively collected in southern Benin from July 2016 through November 2018 from children under five years old and suffering from gastroenteritis, 167 (39.8%) samples were rotavirus EIA positive. 186 (44.3%) samples contained amplifiable rotavirus RNA detected by qRT-PCR method and were genotyped using one-step RT-PCR multiplex genotyping method. G1P[8] represents the predominant genotype (32%) followed by the G2P[4] (26%), G3P[6] (16%), G12P[8] (13%) and mixed G and P types (1%). Four samples (2%) could not be assigned both G and P type specificity.

scholarly journals Molecular Characteristics of Rotavirus Genotypes Circulating in the South of Benin, 2016-2018

2020 ◽  
Author(s):  
Jijoho Michel Agbla ◽  
Mathew D Esona ◽  
Alidéhou Jerrold Agbankpé ◽  
Annick Capo-Chichi ◽  
Rashi Gautam ◽  
...  
Keyword(s):  
World Health ◽  
Molecular Characteristics ◽  
Rt Pcr ◽  
Predominant Genotype ◽  
Pcr Multiplex ◽  
One Step ◽  
Stool Samples ◽  
Pcr Method ◽  
Health Organization ◽  
P Type

Abstract ObjectiveRotavirus remains the main causative agent of gastroenteritis in young children in countries that have not yet introduced the vaccine. In Benin, rotavirus vaccine was introduced late December 2019 into the EPI. This study aims to provide pre-vaccination era rotavirus genotyping data in Benin. These data can supplement data from the surveillance system of Ministry of Health of Benin which is supported by the World Health Organization (WHO). ResultsOf the 420 diarrheal stool samples, actively collected in southern Benin from July 2016 through November 2018 from children under five years old and suffering from gastroenteritis, 167 (39.8%) samples were rotavirus EIA positive. 186 (44.3%) samples contained amplifiable rotavirus RNA detected by qRT-PCR method and were genotyped using one-step RT-PCR multiplex genotyping method. G1P[8] represents the predominant genotype (32%) followed by the G2P[4] (26%), G3P[6] (16%), G12P[8] (13%) and mixed G and P types (1%). Four samples (2%) could not be assigned both G and P type specificity.

scholarly journals Molecular characteristics of rotavirus genotypes circulating in the south of Benin, 2016-2018

2020 ◽  
Author(s):  
Jijoho Michel Agbla ◽  
Mathew D Esona ◽  
Alidéhou Jerrold Agbankpé ◽  
Annick Capo-Chichi ◽  
Rashi Gautam ◽  
...  
Keyword(s):  
World Health ◽  
Molecular Characteristics ◽  
Rt Pcr ◽  
Predominant Genotype ◽  
Pcr Multiplex ◽  
One Step ◽  
Stool Samples ◽  
Pcr Method ◽  
Health Organization ◽  
P Type

Abstract Objective Rotavirus remains the main causative agent of gastroenteritis in young children in countries that have not yet introduced the vaccine. In Benin, rotavirus vaccine was introduced late December 2019 into the EPI. This study aims to provide pre-vaccination era rotavirus genotyping data in Benin. These data can supplement data from the surveillance system of Ministry of Health of Benin which is supported by the World Health Organization (WHO). Results Of the 420 diarrheal stool samples, actively collected in southern Benin from July 2016 through November 2018 from children under five years old and suffering from gastroenteritis, 167 (39.8%) samples were rotavirus EIA positive. 186 (44.3%) samples contained amplifiable rotavirus RNA detected by qRT-PCR method and were genotyped using one-step RT-PCR multiplex genotyping method. G1P[8] represents the predominant genotype (32%) followed by the G2P[4] (26%), G3P[6] (16%), G12P[8] (13%) and mixed G and P types (1%). Four samples (2%) could not be assigned both G and P type specificity.

scholarly journals Machine learning versus logistic regression methods for 2-year mortality prognostication in a small, heterogeneous glioma database

2018 ◽  
Author(s):  
Sandip S Panesar ◽  
Rhett N D’Souza ◽  
Fang-Cheng Yeh ◽  
Juan C Fernandez-Miranda
Keyword(s):  
Machine Learning ◽  
Logistic Regression ◽  
Machine Learning Techniques ◽  
World Health ◽  
Support Vector ◽  
Molecular Characteristics ◽  
Regression Methods ◽  
Learning Techniques ◽  
The World ◽  
Health Organization

AbstractBackgroundMachine learning (ML) is the application of specialized algorithms to datasets for trend delineation, categorization or prediction. ML techniques have been traditionally applied to large, highly-dimensional databases. Gliomas are a heterogeneous group of primary brain tumors, traditionally graded using histopathological features. Recently the World Health Organization proposed a novel grading system for gliomas incorporating molecular characteristics. We aimed to study whether ML could achieve accurate prognostication of 2-year mortality in a small, highly-dimensional database of glioma patients.MethodsWe applied three machine learning techniques: artificial neural networks (ANN), decision trees (DT), support vector machine (SVM), and classical logistic regression (LR) to a dataset consisting of 76 glioma patients of all grades. We compared the effect of applying the algorithms to the raw database, versus a database where only statistically significant features were included into the algorithmic inputs (feature selection).ResultsRaw input consisted of 21 variables, and achieved performance of (accuracy/AUC): 70.7%/0.70 for ANN, 68%/0.72 for SVM, 66.7%/0.64 for LR and 65%/0.70 for DT. Feature selected input consisted of 14 variables and achieved performance of 73.4%/0.75 for ANN, 73.3%/0.74 for SVM, 69.3%/0.73 for LR and 65.2%/0.63 for DT.ConclusionsWe demonstrate that these techniques can also be applied to small, yet highly-dimensional datasets. Our ML techniques achieved reasonable performance compared to similar studies in the literature. Though local databases may be small versus larger cancer repositories, we demonstrate that ML techniques can still be applied to their analysis, though traditional statistical methods are of similar benefit.

scholarly journals Determinants of Overweight and Underweight among Children under 5 in Kazakhstan

2021 ◽  
Vol 14 (1) ◽  
pp. 501-508
Author(s):  
Bakhytzhan Kurmanov ◽  
Yolanda Pena-Boquete ◽  
Aizhan Samambayeva ◽  
Galym Makhmejanov
Keyword(s):  
Child Nutrition ◽  
Wealth Quintile ◽  
World Health ◽  
Lower Probability ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator ◽  
Standard Deviations ◽  
The Republic ◽  
Health Organization ◽  
Children Under 5

Background: During the last 10 years, the prevalence of underweight has decreased considerably in Kazakhstan and, nowadays, it is set under 3% for children under 5 years old. However, the prevalence of overweight, which was not important at all in the 90s, is reaching 10% for children under 5 nowadays. This means that there is a co-existence between being underweight and overweight in the same country and, in some cases, within the same region. In order to design policies addressing both problems and avoiding policies, which may solve underweight but worsening overweight, and vice versa, the aim of this paper is to analyse the socioeconomic determinants of the two problems. Methods: We estimate the probability of occurrence using the Multiple Indicator Cluster Survey (MICS) collected by the United Nations Children’s Fund (UNICEF) and Agency of Statistics of the Republic of Kazakhstan for the years 2006, 2010-2011 and 2015. This survey includes a questionnaire for children younger than 5 years old containing information on maternal and child health. We consider that a child is overweight if she/he falls over two standard deviations of the World Health Organization standards (WHO) for her/his age. Similarly, we consider that a child is underweight if she/he falls below the two standard deviations of the WHO standards. Results: Children of mothers with higher education have a higher probability of being overweight (6,8%) and less probability of being underweight (-5,5%). This effect disappears for children older than 2 years old. Children of Russian origin and other ethnic groups show a lower probability of being overweight in comparison with their Kazakh peers. Being born in the highest wealth quintile reduces the risk of a child under 2 years old being underweight (-2,9%). On the other side, children in rich families at age 2-4 years old have a higher probability of being overweight (3,7%). Conclusion: Health policy aimed to improve family and institution´s knowledge on child nutrition could be effective measures to reduce infant overweight.

scholarly journals Culture-Independent Detection of Poliovirus in Stool Samples by Direct RNA Extraction

2021 ◽  
Author(s):  
Chelsea Harrington ◽  
Hong Sun ◽  
Stacey Jeffries-Miles ◽  
Nancy Gerloff ◽  
Mark Mandelbaum ◽  
...  
Keyword(s):  
Cell Culture ◽  
World Health Organization ◽  
Surveillance System ◽  
Virus Isolation ◽  
Rna Extraction ◽  
World Health ◽  
Culture Independent ◽  
Laboratory Surveillance ◽  
Stool Samples ◽  
Health Organization

The GPLN is a global surveillance system composed of 146 laboratories in 92 countries, in each of the six World Health Organization regions. Laboratory surveillance for PV relies on virus isolation by cell culture to identify PV in stool samples from AFP cases.

scholarly journals A Clinicopathologic and Molecular Update of Pancreatic Neuroendocrine Neoplasms With a Focus on the New World Health Organization Classification

2019 ◽  
Vol 143 (11) ◽  
pp. 1317-1326 ◽  
Author(s):  
Jiayun M. Fang ◽  
Jiaqi Shi
Keyword(s):  
World Health Organization ◽  
Pancreatic Neuroendocrine Tumor ◽  
Tumor Grade ◽  
Differential Diagnoses ◽  
World Health ◽  
Molecular Characteristics ◽  
Neuroendocrine Neoplasms ◽  
World Health Organization Classification ◽  
Pancreatic Neuroendocrine Carcinoma ◽  
Health Organization

Context.— According to the 2017 World Health Organization classification, pancreatic neuroendocrine neoplasms (PanNENs) include a new category of pancreatic neuroendocrine tumor, grade 3, which is often difficult to differentiate from pancreatic neuroendocrine carcinoma. However, pancreatic neuroendocrine tumor grade 3 and pancreatic neuroendocrine carcinoma are distinct entities with very different clinical presentation, prognosis, and therapeutic strategies. Recent discoveries on the molecular characteristics of pancreatic neuroendocrine tumors also play an essential role in the pathologic differential diagnosis of PanNENs. In addition, the histopathologic varieties of PanNENs bring in many differential diagnoses with other pancreatic neoplasms, especially acinar cell carcinoma, solid pseudopapillary neoplasm, and ductal adenocarcinoma. Objective.— To provide a brief update of the World Health Organization classification; the clinical, histopathologic, immunohistochemical, and molecular characteristics; and the differential diagnoses and biological behavior of PanNENs. Data Sources.— Analysis of the pertinent literature (PubMed) and authors' clinical practice experience based on institutional and consultation materials. Conclusions.— The evolving clinical, histopathologic, immunohistochemical, and molecular features of PanNENs are reviewed. Important differential diagnoses with other neoplasms of the pancreas are discussed.

scholarly journals InterLymph hierarchical classification of lymphoid neoplasms for epidemiologic research based on the WHO classification (2008): update and future directions

Blood ◽  
2010 ◽  
Vol 116 (20) ◽  
pp. e90-e98 ◽  
Author(s):  
Jennifer J. Turner ◽  
Lindsay M. Morton ◽  
Martha S. Linet ◽  
Christina A. Clarke ◽  
Marshall E. Kadin ◽  
...  
Keyword(s):  
Who Classification ◽  
Hierarchical Classification ◽  
International Classification Of Diseases ◽  
World Health ◽  
Molecular Characteristics ◽  
Lymphoid Tissues ◽  
Epidemiologic Research ◽  
Lymphoid Neoplasms ◽  
Health Organization

Abstract After publication of the updated World Health Organization (WHO) classification of tumors of hematopoietic and lymphoid tissues in 2008, the Pathology Working Group of the International Lymphoma Epidemiology Consortium (InterLymph) now presents an update of the hierarchical classification of lymphoid neoplasms for epidemiologic research based on the 2001 WHO classification, which we published in 2007. The updated hierarchical classification incorporates all of the major and provisional entities in the 2008 WHO classification, including newly defined entities based on age, site, certain infections, and molecular characteristics, as well as borderline categories, early and “in situ” lesions, disorders with limited capacity for clinical progression, lesions without current International Classification of Diseases for Oncology, 3rd Edition codes, and immunodeficiency-associated lymphoproliferative disorders. WHO subtypes are defined in hierarchical groupings, with newly defined groups for small B-cell lymphomas with plasmacytic differentiation and for primary cutaneous T-cell lymphomas. We suggest approaches for applying the hierarchical classification in various epidemiologic settings, including strategies for dealing with multiple coexisting lymphoma subtypes in one patient, and cases with incomplete pathologic information. The pathology materials useful for state-of-the-art epidemiology studies are also discussed. We encourage epidemiologists to adopt the updated InterLymph hierarchical classification, which incorporates the most recent WHO entities while demonstrating their relationship to older classifications.

scholarly journals Techniques of Gastrointestinal Endoscopy—Do We Need to Change Anything?

2020 ◽  
Vol 11 (01) ◽  
pp. 55-58
Author(s):  
Prakash Zacharias ◽  
Hasim Ahamed
Keyword(s):  
Gastrointestinal Endoscopy ◽  
Close Contact ◽  
World Health ◽  
Virus Particles ◽  
Asymptomatic Patients ◽  
Care Workers ◽  
Increased Risk ◽  
Stool Samples ◽  
Novel Coronavirus ◽  
Health Organization

AbstractNovel coronavirus disease 2019 (COVID-19) has spread to different parts of the world and was declared a pandemic by World Health Organization (WHO). Health care workers are at increased risk of contracting the disease due to their nature of work and close contact with the patients. Staff in endoscopy need to be aware of this risk due to the aerosol-generating nature of procedures and the presence of virus particles in stool samples of infected persons. The risk of asymptomatic patients spreading the disease is also a cause for concern. This article intends to provide guidance and recommendations for techniques and practice of gastrointestinal (GI) endoscopy to prevent infection in endoscopy unit.

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