scholarly journals Integrated community based human and animal syndromic surveillance in Adadle district of the Somali region of Ethiopia

One Health ◽  
2021 ◽  
pp. 100334
Author(s):  
Yahya Osman ◽  
Seid Mohamed Ali ◽  
Esther Schelling ◽  
Rea Tschopp ◽  
Jan Hattendorf ◽  
...  
Keyword(s):  
Syndromic Surveillance ◽  
Community Based ◽  
Somali Region

scholarly journals Linking syndromic surveillance with virological self-sampling

2007 ◽  
Vol 136 (2) ◽  
pp. 222-224 ◽  
Author(s):  
D. L. COOPER ◽  
G. E. SMITH ◽  
F. CHINEMANA ◽  
C. JOSEPH ◽  
P. LOVERIDGE ◽  
...  
Keyword(s):  
Surveillance System ◽  
Syndromic Surveillance ◽  
Influenza A ◽  
Influenza B ◽  
Community Based ◽  
Syndromic Surveillance System ◽  
Influenza A H1n1 ◽  
The Mean ◽  
Nhs Direct ◽  
Mean Time

SUMMARYCalls to a UK national telephone health helpline (NHS Direct) have been used for syndromic surveillance, aiming to provide early warning of rises in community morbidity. We investigated whether self-sampling by NHS Direct callers could provide viable samples for influenza culture. We recruited 294 NHS Direct callers and sent them self-sampling kits. Callers were asked to take a swab from each nostril and post them to the laboratory. Forty-two per cent of the samples were returned, 16·2% were positive on PCR for influenza (16 influenza A(H3N2), three influenza A (H1N1), four influenza B) and eight for RSV (5·6%). The mean time between the NHS Direct call and laboratory analysis was 7·4 days. These samples provided amongst the earliest influenza reports of the season, detected multiple influenza strains, and augmented a national syndromic surveillance system. Self-sampling is a feasible method of enhancing community-based surveillance programmes for detection of influenza.

scholarly journals Effect of Nutrition Education Intervention on Anaemia Among Children aged 6 to 59 Months in Pastoralist and Agro-Pastoralist Community of Somali Region, Eastern Ethiopia: Community Based Case Control Study

2021 ◽  
Author(s):  
Rashid Abdi Guled ◽  
Nik Mazlan Mamat ◽  
WanAzdie Mohd Abubakar ◽  
Tefera Belachew ◽  
Nega Assefa
Keyword(s):  
Preschool Children ◽  
Nutrition Education ◽  
Case Control Study ◽  
Intervention Group ◽  
Case Control ◽  
Community Based ◽  
Eastern Ethiopia ◽  
Somali Region ◽  
The Mean ◽  
Control Study

Abstract Background: Anaemia is one of the major public health problems. It affects over 1.6 billion individuals of all age groups globally. About 273.2 million children below five years of age were affected by anaemia, of which around two-thirds (62.3%) occur in Sub-Saharan Africa. The overall global anaemia prevalence rate reported was 24.8%, of which almost half (47.4%) of it occurs in preschool children. Ethiopia is one of the seriously affected countries. The Ethiopia Demographic and Health Survey (EDHS), 2016 report showed, 56% and 82.6% of preschool children in Ethiopia and the Somali region, respectively, were affected by some degree of anaemia. Hence, this study aims to assess the effect of nutrition education intervention (NEI) on anaemia prevalence in preschool children in the Pastoralist and Agro-pastoralist communities of the Somali Region, Eastern Ethiopia. Methods: A community based case control study was conducted among 404 paired children 6 – 59 months to mothers/caregivers in two phases. Adadle district was used as an NEI group and Gode district as a control group. A face-to-face interview for mothers/caregivers using a semi-structured questionnaire and haemoglobin measurement of the children was done. The same procedure was repeated after eight months of NEI. The blood haemoglobin (Hb) level of the children was measured using Hemocue 301. SPSS version 20 was used, a chi-square test for categorical and t-test (independent and repeated paired) for continuous variables were performed. Results: the overall anaemia prevalence was decreased from 72% at baseline and 51% at post-intervention. The majority of this change had occurred in the intervention group (79.3 - 44.8%). The mean Hb level score difference of the difference (DOD) was significantly improved (-1.163, p<0.001) after NEI. While, the intervention group showed a significantly higher increment of Hb level (9.4g/dl – 10.6g/dl, p<0.001). Conclusion: The NEI has been shown effective and significant improvement in the mean haemoglobin level and decreased the anaemia prevalence in the intervention group. Therefore, behaviour change communication, using religious leaders and other potential people. Advocating the use of locally available, accessible, and affordable nutritious foods, with proper infant and young child feeding and basic health services, are highly effective to tackle the children’s anaemia status.

scholarly journals Enhancing Biosurveillance Specificity Using PraedicoTM, A Next Generation Application

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Alireza Vahdatpour ◽  
Cynthia A. Lucero-Obusan ◽  
Chris Lee ◽  
Gina Oda ◽  
Patricia Schirmer ◽  
...  
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Surveillance System ◽  
Syndromic Surveillance ◽  
Next Generation ◽  
Community Based ◽  
Gradual Improvement ◽  
Detection Algorithms ◽  
Multiple Detection ◽  
Higher Sensitivity

 We evaluated the specificity of Praedico Biosurveillance, a next generation biosurveillance application leveraging multiple detection algorithms, big data and machine learning, for VA outpatient syndromic surveillance alerting during the period of June 2014 thru May 2015, and compared it to the Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE). Praedicoâ„¢ Biosurveillance generated alerts were significantly lower compared to ESSENCE generated alerts across all major syndromic syndromes and demonstrated higher sensitivity to seasons (i.e., ILI activity in winter). Reducing alerting fatigue would enhance specificity of computer-generated alerts, promoting more usage and gradual improvement in the algorithm's output.

scholarly journals Determinants of Enrolment for Community Based Health Insurance Scheme among Agro-pastoralist communities of Aw-barre District in Somali region of Ethiopia: Unmatched  case control study.

2021 ◽  
Author(s):  
Abdifatah Elmi ◽  
Olusola Oladeji ◽  
Ann Robins ◽  
Ahmed Tahir
Keyword(s):  
Health Insurance ◽  
Case Control Study ◽  
Statistical Significance ◽  
Case Control ◽  
Health Insurance Scheme ◽  
Insurance Scheme ◽  
Community Based ◽  
Somali Region ◽  
Community Based Health Insurance ◽  
Control Study

Abstract BackgroundEthiopia launched community-based health insurance scheme in 2011 as part of the revised health care financing strategy to ensure universal health coverage and implementation has started in most part of the country since the launching of the scheme. However, the roll out of the scheme started in Somali Region in 2020—much later the rest of the country. The aim of this study was to assess determinants of enrollment of community-based health insurance among households in Awbarre Woreda, Somali Region, EthiopiaMethodsCommunity based unmatched case control study using a mixed approach of quantitative and qualitative methods was conducted between March and April 2021 and the study participants were selected using multi-stage sampling technique. The quantitative method used interviewer administered structured questionnaire among 216 participants (54 enrolled and 162 non-enrolled), while the qualitative method used key informant interview and focus group discussions in two rural and two urban kebeles of the woreda. The quantitative data was analyzed using SPSS version 20 and thematic analysis was used for the qualitative data. Multivariable logistic regression was used to determine the determinants of enrollment for the community-based health insurance and statistical significance was set at p value of <5%. Result Awareness about CBHI scheme AOR = 9.41(1.16,76.19), households income AOR = 2.73(0.77, 9.57); and being a member of community-based solidarity groups AOR = 2.88(1.17, 7.12) were the determinants for CBHI enrollment and reaffirmed by the qualitative findings. ConclusionsThe enrollment for community-based insurance was determined by being well informed about the scheme, household income, and being a member of solidarity groups at community level. Given the early stage of implementation, enhancing sensitization of the community about the scheme using various community platforms, promotion of the existing community based solidarity groups/associations, diligent targeting of the poor households/indigents and ensuring linkage with any existing social protection program would help to increase enrolment for the scheme.

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