Environmental resource collection: implications for children's schooling in Tigray, northern Ethiopia

2013 ◽  
Vol 19 (2) ◽  
pp. 182-200 ◽  
Author(s):  
Bahre Gebru ◽  
Sosina Bezu

AbstractThis paper examines the adverse effect of natural resources scarcity on children's schooling and the possible gender bias of resource collection work against girls' schooling. It uses cross-sectional data on 316 children aged 7–18 years collected from 120 rural households in Tigray, northern Ethiopia. The two-stage conditional maximum likelihood estimation technique is employed to take care of endogeneity between schooling and collection intensity decisions. The results revealed that a 50 per cent increase in collection intensity reduces the likelihood of child schooling by approximately 11 per cent. However, we find no evidence of gender bias against girls' schooling.

Entropy ◽  
2020 ◽  
Vol 23 (1) ◽  
pp. 62
Author(s):  
Zhengwei Liu ◽  
Fukang Zhu

The thinning operators play an important role in the analysis of integer-valued autoregressive models, and the most widely used is the binomial thinning. Inspired by the theory about extended Pascal triangles, a new thinning operator named extended binomial is introduced, which is a general case of the binomial thinning. Compared to the binomial thinning operator, the extended binomial thinning operator has two parameters and is more flexible in modeling. Based on the proposed operator, a new integer-valued autoregressive model is introduced, which can accurately and flexibly capture the dispersed features of counting time series. Two-step conditional least squares (CLS) estimation is investigated for the innovation-free case and the conditional maximum likelihood estimation is also discussed. We have also obtained the asymptotic property of the two-step CLS estimator. Finally, three overdispersed or underdispersed real data sets are considered to illustrate a superior performance of the proposed model.


BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e037913
Author(s):  
Mala George ◽  
Geert-Jan Dinant ◽  
Efrem Kentiba ◽  
Teklu Teshome ◽  
Abinet Teshome ◽  
...  

ObjectivesTo evaluate the performance of the predictors in estimating the probability of pulmonary tuberculosis (PTB) when all versus only significant variables are combined into a decision model (1) among all clinical suspects and (2) among smear-negative cases based on the results of culture tests.DesignA cross-sectional study.SettingTwo public referral hospitals in Tigray, Ethiopia.ParticipantsA total of 426 consecutive adult patients admitted to the hospitals with clinical suspicion of PTB were screened by sputum smear microscopy and chest radiograph (chest X-ray (CXR)) in accordance with the Ethiopian guidelines of the National Tuberculosis and Leprosy Program. Discontinuation of antituberculosis therapy in the past 3 months, unproductive cough, HIV positivity and unwillingness to give written informed consent were the basis of exclusion from the study.Primary and secondary outcome measuresA total of 354 patients were included in the final analysis, while 72 patients were excluded because culture tests were not done.ResultsThe strongest predictive variables of culture-positive PTB among patients with clinical suspicion were a positive smear test (OR 172; 95% CI 23.23 to 1273.54) and having CXR lesions compatible with PTB (OR 10.401; 95% CI 5.862 to 18.454). The regression model had a good predictive performance for identifying culture-positive PTB among patients with clinical suspicion (area under the curve (AUC) 0.84), but it was rather poor in patients with a negative smear result (AUC 0.64). Combining all the predictors in the model compared with only the independent significant variables did not really improve its performance to identify culture-positive (AUC 0.84–0.87) and culture-negative (AUC 0.64–0.69) PTB.ConclusionsOur finding suggests that predictive models based on clinical variables will not be useful to discriminate patients with culture-negative PTB from patients with culture-positive PTB among patients with smear-negative cases.


2020 ◽  
Author(s):  
Ermias Alemayehu ◽  
Alemu Gedefie ◽  
Aderaw Adamu ◽  
Jemal Mohammed ◽  
Brhanu Kassanew ◽  
...  

Abstract Background: Parasitic infections are known causes of morbidity among HIV infected patients with low CD4+ counts who are on antiretroviral therapy; mainly as a result of immune suppression. Thus, this study aimed to assess the extent of intestinal parasitic infection and its related risk factors among HIV infected patients attending ART clinic of Debretabor General Hospital, Northern Ethiopia.Patients and methods: A health facility based cross sectional study was conducted on a total of 383 HIV infected patients attending ART clinic of Debretabor General Hospital, Northern Ethiopia from December 2018 to March 2019. An interview based structured questionnaire were used to gather socio-demographic and risk factor data. About 5 grams of fresh stool specimen and 4 ml of venous blood sample were collected, then transported and tested in accordance with the laboratory standard operating procedures. The obtained data was entered into SPSS version 22.0; and analyzed. P-value <0.05 with 95% confidence interval was considered statistically significant.Result: The overall prevalence of intestinal parasites was 25.3%; with 18% and 23.8% by direct wet mount and formol-ether concentration technique respectively. 8 (2.1%) patients were infected by multiple parasites in concentration technique. Ascaris lumbricoides, 23(25.3%) was the most frequently identified parasite. Parasitic infection was significantly higher among illiterates (P=0.011); patients with a CD4 count of <200 cells/mm3 (P<0.001) and among patients who did not have latrine (P=0.049) than their counter parts.Conclusion: Relatively higher prevalence of intestinal parasitic infection was found among HIV/AIDS patients. The distribution of intestinal parasites is greatly affected by illiteracy, reduced CD4+ counts and absence of toilet. Thus, HIV/AIDS patients with low CD4+ counts should be diagnosed consistently for intestinal parasites and routine stool examination and awareness creation should be advocated to be included as an essential component of the ART monitoring strategy for improved patient care.


Author(s):  
Ankita Singh ◽  
K. P. S. Senger ◽  
Arvind K. Singh ◽  
Ajay K. Singh

Background: Immunization is one of the most powerful and cost effective tools available to improve public and global health and is essential for every child’s life. This study aims to estimate the immunization status and factors effecting drop-outs from immunization in children residing in Uri, Jammu & Kashmir. Methods: It is a cross-sectional descriptive study, with sample-size of 480 children between 12 to 23 months of age. Immunization status was assessed depending upon coverage of four important vaccines given during primary immunization. Results: The study showed that total primary immunization status of Uri was 58.12% with 91.2% OPV, 88.1% BCG, 72.5% DPT and 58.8% measles immunization (CI= 95%, p<0.05). Factors effecting drop-outs were distantly located health centre (27.9%), poor motivation (33.12%), lack of awareness (9.77%), and parental refusal (in case of OPV was 5.35%) (CI= 95%, p<0.05). Literate mothers were more likely to get their children completely immunized. Gender Bias wasn't observed. Conclusions: Findings suggest that immunization status needs to be improved by focussing on vaccines having low coverage (DPT and measles) by creating awareness and better out-reach facilities with the involvement of community workers. 


Sign in / Sign up

Export Citation Format

Share Document