scholarly journals Serologic evidence of Echinococcus granulosus in slaughterhouses in Pakistan: global alarm for butchers in developing countries

2021 ◽  
Vol 15 (06) ◽  
pp. 861-869
Author(s):  
Mughees Aizaz Alvi ◽  
Li Li ◽  
Muhammad Saqib ◽  
John Asekhaen Ohiolei ◽  
Muhammad Waqar Younas ◽  
...  
Keyword(s):  
Developing Countries ◽  
Echinococcus Granulosus ◽  
Rural Areas ◽  
Cystic Echinococcosis ◽  
Formal Education ◽  
Univariate Analysis ◽  
Small Ruminants ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Feral Dogs

Introduction: Cystic echinococcosis, caused by Echinococcus granulosus, is a neglected zoonosis that affects humans and livestock. This sero-survey was designed for the first time in Pakistan to assess the exposure of butchers to E. granulosus as there was no previous report in the country for this occupational group. Methodology: Blood samples were collected from registered butchers (n = 364) in five different slaughterhouses in Faisalabad and Bahawalnagar Districts. Sera were tested for anti-Echinococcus granulosus IgG with a commercially available ELISA kit (specificity, 100%; sensitivity, 97%). Results: Overall, seroprevalence was 9.61% (35/364). Butchers >30 years of age (10.34%), those involved in small ruminants butchery (11.70%), >10 years’ experience (10.04%), formal education level up to middle standard (10.28%), contact with dogs (12.71%), improper/unhygienic disposal of dog feces (11.87%), and those unaware of the consequences of eating with unwashed hands (13.80%) were more seropositive with significant statistical differences (p < 0.05). Variables like previous cyst encounter, no knowledge of zoonoses and/or cystic echinococcosis, living in rural areas and the presence of stray/feral dogs in surroundings did not show any significant association (p > 0.05) with seroprevalence in butchers. The binary logistic regression model also showed a statistically significant relationship (p < 0.05) for all risk factors found statistically significant (p < 0.05) in the univariate analysis. Conclusions: This study shows high prevalence of cystic echinococcosis among butchers in Pakistan and underscores the need for educating native slaughterhouse personnel on cystic echinococcosis. It also serves as a global warning, especially in developing countries.

scholarly journals Prevalence, patterns and correlates of smokeless tobacco use in Nigerian adults: An analysis of the Global Adult Tobacco Survey

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245114
Author(s):  
Ikenna Onoh ◽  
Oluwatomi Owopetu ◽  
Abdulhakeem Abayomi Olorukooba ◽  
Chukwuma David Umeokonkwo ◽  
Tukur Dahiru ◽  
...  
Keyword(s):  
Smokeless Tobacco ◽  
Rural Areas ◽  
Formal Education ◽  
Secondary Analysis ◽  
Binary Logistic Regression ◽  
The South ◽  
Chi Square ◽  
Targeted Interventions ◽  
Tobacco Epidemic ◽  
Chi Square Test

Introduction The global tobacco epidemic contributes to more than 8 million deaths annually. However, most tobacco control interventions have been driven by an emphasis on smoked tobacco. Globally and more so in Nigeria, less attention has been paid to the similarly harmful smokeless tobacco (SLT) whose use appeals to a different demography. We examined the prevalence, patterns of use and correlates of SLT in Nigerian adults to guide targeted control efforts. Methods We conducted a secondary analysis of the 2012 Global Adult Tobacco Survey (GATS) data. We obtained data on 9,765 non-institutionalised adults aged 15 years and older. Variables included current SLT use, sociodemographic characteristics and perceived harm of SLT use. We used Chi-square test to examine associations and binary logistic regression to assess predictors of current SLT use. All analyses were conducted with sample-weighted data. Results The prevalence of current SLT use was 1.9% of all adults. About 1.4% were daily users. The main types were snuff by nose (1.6%) and snuff by mouth (0.8%). There were higher odds of current SLT use for those in the South-East region (aOR = 13.99; 95% CI: 4.45–43.95), rural area residents (aOR = 1.56; 95% CI: 1.04–2.35), males (aOR = 4.43; 95% CI: 2.75–7.11), the 45–64 years age-group (aOR = 10.00; 95% CI: 4.12–24.29), those with no formal education (aOR = 2.67; 95% CI: 1.01–7.05), and those with no perception of harm from SLT use (aOR = 3.81, 95% CI: 2.61–5.56). Conclusion The prevalence of SLT use among Nigerian adults was low with clearly identified predictors. While a majority were aware of harm from SLT use, an unacceptably high proportion remain unaware. We recommended targeted interventions to increase awareness of the harmful effects of SLT use especially among residents of the South-East, those in rural areas, males, and individuals with no formal education. We also recommended a follow-up survey.

scholarly journals Determinants of desire for more children among women in Ethiopia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mitiku Wale Muluneh ◽  
Yikeber Abebaw Moyehodie
Keyword(s):  
Formal Education ◽  
Binary Logistic Regression ◽  
Odds Ratios ◽  
Binary Logistic Regression Model ◽  
Number Of Children ◽  
First Marriage ◽  
Age At First Marriage ◽  
Catholic Religion ◽  
Ideal Number ◽  
Living Children

Abstract Background Desire for more children has an impact on couple’s fertility behaviors. It can be a precursor of actual fertility performance. However, the desire for more children is declining over time in Ethiopia. Therefore, this study aimed to identifying the determinants of the desire for more children among women in Ethiopia. Methods The 2016 Ethiopian Demographic and Health Survey data were used for the analysis. The sample consisted of 15,683 women. The binary logistic regression model was used to assess the determinants of desire for more children among women in Ethiopia. The results are presented as crude odds ratios (COR) and adjusted odds ratios (AOR) together with their corresponding 95% confidence intervals. Results No education (having no formal education) (AOR = 1.85, 95% CI 1.61–2.13), attained primary education (AOR = 1.62, 95% CI 1.43–1.83), age at first marriage 10–19 years (AOR = 1.80, 95% CI 1.27–2.54), Orthodox religion (AOR = 1.48, 95% CI 1.01–2.19), Catholic religion (AOR = 2.15, 95% CI 1.17–3.97), Muslim religion (AOR = 1.70, 95% CI 1.15–2.50), living in Amhara (AOR = 1.45, 95% CI 1.18–1.78), Oromia (AOR = 2.10, 95% CI 1.73–2.54), Benishangul (AOR = 1.17, 95% CI 1.01–1.45), SNNPR (AOR = 1.30, 95% CI 1.05–1.60), Gambela (AOR = 1.25, 95% CI 1.02–1.57), Harari (AOR = 2.24, 95% CI 1.82–2.76), ideal number of children four or fewer (AOR = 0.47, 95% CI 0.42–0.53), number of living children four or fewer (AOR = 2.12, 95% CI 1.90–2.37), and not use of contraceptives (AOR = 1.51, 95% CI 1.35–1.68) were associated with a higher desire for more children. Conclusion This finding showed that the age of women, educational level, age at first marriage, religion, region, occupation, ideal number of children, number of living children, and use of contraceptives were significant determinants of desire for more children. Therefore, it is important to adopt programs to encourage the desire for more children, implement policies in an attempt to increase the total fertility rate in Ethiopia ought to critically consider these factors. Moreover, continuous education and knowledge on reproductive health will help for better fertility behaviour for the women.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI INTENSI ENTREPRENEURIAL PADA SISWA DAN MAHASISWA DI SURABAYA

2018 ◽  
Vol 12 (1) ◽  
pp. 32-39
Author(s):  
Krimsi Budi Sienatra ◽  
Metta Padmalia
Keyword(s):  
Logistic Regression ◽  
Logistic Regression Model ◽  
Formal Education ◽  
Binary Logistic Regression ◽  
Entrepreneurial Intentions ◽  
Competence Network ◽  
Binary Logistic Regression Model ◽  
Job Status ◽  
Parental Background ◽  
Predicting Factor

This study aims to look at the early stages of the birth of a business or at the stage of conception and preparation. Specifically, the purpose of this study is to develop and test empirically the determinants of entrepreneurial intentions using entrepreneur characteristic variables such as age, education, competence, gender, job status, parental background, ability to see persuasion and persistence as a predicting factor. The sample of this research is students and students who get formal education about entrepreneurship in Surabaya city. The analysis is based on a binary logistic regression model that estimates the effect of a set of predictor variables on entrepreneurship intentions. Logistic regression results show that only the age, competence, network relations, and ability to see the opportunities that affect the intention of entrepreneurship. Out-of-the-box results are the background of the parents not impacting the entrepreneurship intentions.

scholarly journals Copro-Antigenic Sandwich ELISA based Epidemiological Survey on Prevalence of Echinococcus granulosus Infection in Dogs: First Insight from Pakistan

2021 ◽  
Vol 25 (04) ◽  
pp. 881-887
Author(s):  
Mughees Aizaz Alvi
Keyword(s):  
Echinococcus Granulosus ◽  
Body Condition Score ◽  
Sandwich Elisa ◽  
Binary Logistic Regression ◽  
Epidemiological Survey ◽  
Economic Losses ◽  
Proactive Approach ◽  
Feral Dogs ◽  
Condition Score ◽  
Dog Breed

Echinococcus granulosus (Eg) infection is a neglected tropical disease of humans and livestock with serious economic losses. Dogs as the definitive hosts are responsible for contaminating the environment through feces containing eggs. Using coproantigen ELISA, we tested 368 dogs randomly sampled from three Pakistani cities for infection with Eg. The highest prevalence was found in Lahore (9.80%) with an overall prevalence of 6.79%. Prevalence was higher in females (8.72%, odds ratio OR 1.71), young dogs (≤ 3 years) (6.93%, OR 1.06), stray/feral dogs (9.72%, OR 1.60), dogs fed with raw offal (8.28%, OR 2.63) and dogs with no anthelmintics treatment history (8.98%, OR 1.90). Prevalence was also higher in dogs with Body Condition Score (BCS) of 1–3 (10.86%; OR 5.75) and Grey Hound breed (15.62%; OR 6.94). Statistically significant association (P < 0.05) was found between copro-positivity and different variables investigated except for sex, dog breed and history for anthelmintic treatment (P > 0.05). Significant statistical differences (Binary logistic regression) were observed for age, companionship, feed type, BCS and previous intestinal illness. Since dogs are responsible for contaminating the environment, the Eg prevalence in this study indicates a potential risk for human and livestock populations in the study areas and suggests a proactive approach in CE management. © 2021 Friends Science Publishers

scholarly journals Spatial and Temporal Variations of Forest Cover in Developing Countries

2019 ◽  
Vol 11 (6) ◽  
pp. 1517 ◽  
Author(s):  
Qianwen Duan ◽  
Minghong Tan
Keyword(s):  
Developing Countries ◽  
South America ◽  
Forest Cover ◽  
European Space Agency ◽  
Binary Logistic Regression ◽  
Temporal Variations ◽  
Global Scale ◽  
Forest Area ◽  
Binary Logistic Regression Model ◽  
African Countries

An understanding of changes in forest cover and the drivers of forest transition (FT) contributes to the sustainable management of global forests. In this paper, we used the latest global land cover data published by the European Space Agency (ESA) to investigate spatiotemporal variation characteristics of forest cover in developing countries from 1992 to 2015, and then analyzed causal factors of this variation using a binary logistic regression model. Existing studies on FT are mostly based on data from the Food and Agriculture Organization (FAO); this study improves our understanding of FT mechanisms through the use of a new dataset. The results indicate that the forest area in developing countries decreased from 21.8 to 21.3 million km2 from 1992–2015, and the rate of decline slowed after 2004. South America suffered the largest reduction in forest area (505,100 km2), whereas forest area in Africa increased slightly. By 2015, more than 80% of African countries had experienced FT, whereas only half of developing countries experienced forest expansion in South America. The variables affecting FT occurrence differed among continents. On the global scale, the remaining forest coverage and the proportion of forest exports negatively affected the likelihood of FT occurrence, whereas urbanization level had a positive effect.

scholarly journals Prevalence and factors affecting the utilization of antenatal care in rural areas of Southwestern Ethiopia

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Assaye Belay ◽  
Tessema Astatkie ◽  
Solomon Abebaw ◽  
Bekele Gebreamanule ◽  
Wegayehu Enbeyle
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Regression Model ◽  
Rural Area ◽  
Rural Areas ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Southwestern Ethiopia

Abstract Background Antenatal care (ANC) is a health care intervention intended to ensure the safety of pregnancy. According to the World Health Organization, at least four ANC visits are recommended for a healthy pregnancy. However, whether this recommended number of visits was followed or not in the rural areas of Southwestern Ethiopia is not known. Therefore, the study aimed to investigate the prevalence of, and the associated factors of ANC utilization by pregnant women in the rural areas of Southwestern Ethiopia. Methods A community-based cross-sectional study design was used in three rural zones. The data were collected from n = 978 women through a structured questionnaire with face-to-face interview. The collected data were analyzed using descriptive statistics and a multiple binary logistic regression model. Results The results showed that 56% of women made the recommended minimum number of ANC visits and the remaining 44% of them underutilized the ANC service. The multiple binary logistic regression model identified zone, marital status of the woman, educational level of the husband, occupation of the husband, knowledge of danger signs of pregnancy, birth interval, source of information, timely visits, and transportation problem to be statistically significant factors affecting the prevalence of ANC visit utilization of women. Bench Maji zone had smaller odds ratio of ANC visit prevalence as compared to Kaffa zone. Women who lived in the rural area of Sheko zone are 2.67 times less likely to utilize ANC visit than those who lived in the rural area of Kaffa zone keeping other variables constant. Conclusion The study results highlight the need to increase the number of ANC visits, and the importance of using an appropriate model to determine the important socio-demographic factors that ANC service providers shall focus on to improve the health of the unborn baby and the mother during pregnancy.

scholarly journals Community Faecal Management Strategies and Perceptions on Sludge Use in Agriculture

2020 ◽  
Vol 17 (11) ◽  
pp. 4128 ◽  
Author(s):  
Matthew Mamera ◽  
Johan J. van Tol ◽  
Makhosazana P. Aghoghovwia ◽  
Gabriel T. Mapetere
Keyword(s):  
Rural Areas ◽  
Management Strategies ◽  
Analytical Data ◽  
Binary Logistic Regression ◽  
Social Perceptions ◽  
Binary Logistic Regression Model ◽  
Sludge Management ◽  
Key Informant ◽  
Pit Latrine ◽  
Faecal Sludge

Most people in rural areas in South Africa (SA) rely on untreated drinking groundwater sources and pit latrine sanitations. A minimum basic sanitation facility should enable safe and appropriate removal of human waste, and although pit latrines provide this, they are still contamination concerns. Pit latrine sludge in SA is mostly emptied and disposed off-site as waste or buried in-situ. Despite having knowledge of potential sludge benefits, most communities in SA are reluctant to use it. This research captured social perceptions regarding latrine sludge management in Monontsha village in the Free State Province of SA through key informant interviews and questionnaires. A key informant interview and questionnaire was done in Monontsha, SA. Eighty participants, representing 5% of all households, were selected. Water samples from four boreholes and four rivers were analyzed for faecal coliforms and E.coli bacteria. On average, five people in a household were sharing a pit latrine. Eighty-three percent disposed filled pit latrines while 17% resorted to closing the filled latrines. Outbreaks of diarrhoea (69%) and cholera (14%) were common. Sixty percent were willing to use treated faecal sludge in agriculture. The binary logistic regression model indicated that predictor variables significantly (p ˂ 0.05) described water quality, faecal sludge management, sludge application in agriculture and biochar adaption. Most drinking water sources in the study had detections ˂ 1 CFU/100 mL. It is therefore imperative to use both qualitative surveys and analytical data. Awareness can go a long way to motivate individuals to adopt to a new change.

scholarly journals Seroprevalence and Associated Risk Factors of Contagious Caprine Pleuropneumonia in the Small Ruminants of Oman

2021 ◽  
Vol 41 (01) ◽  
pp. 45-50
Author(s):  
Muhammad Hammad Hussain
Keyword(s):  
Risk Factors ◽  
Significant Risk ◽  
Small Ruminants ◽  
Binary Logistic Regression ◽  
Control Program ◽  
Cross Sectional Study ◽  
Flock Size ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Contagious Caprine Pleuropneumonia

Contagious caprine pleuropneumonia (CCPP) is an economically important and potentially fatal disease of small ruminants caused by Mycoplasma capricolum subsp. capripneumoniae (Mccp). We designed this cross-sectional study to investigate the seroepidemiology of CCPP in the small ruminants of Oman. For this purpose, we sampled a total of 4015 small ruminants (2119 goats and 1896 sheep) from 510 flocks belonging to different governorates of Oman. A commercial competitive enzyme-linked immune-sorbent assay (cELISA) was used to test the samples. Prevalence (%) along with 95% confidence intervals (CI) was calculated, and a univariable analysis was conducted to screen different risk factors. Furthermore, a binary logistic regression model was built at the animal and flocklevel (Table 3). In total, 147 (28.8%, CI 24.9, 33.0) flocks tested positive for the CCPP and the seroprevalence ranged from 10.0 to 53.8% in various governorates (p = 0.001). The prevalence was significantly (P<0.001) high in goats (28%, CI 23.8, 32.5) as compared to sheep (13.1%, CI 24.9, 33.0). At flock level; the open herds (OR 2.08, 1.33, 3.27), having a location in the coastal regions (OR 1.70, 1.14, 2.53) and flock size of more than 100 animals (OR 2.45, 1.54, 3.91) were the significant risk factors for CCPP in Oman. At the animal level; goats (OR 2.87, CI 2.17, 3.81), and small ruminants above the age of one year (OR 2.23, CI 1.38-3.59) were found more likely to acquire CCPP. We suggest that a control program based on the changes in the management system to minimize the risk factors and a possible mass vaccination should be devised to check CCPP in Oman.

scholarly journals Exploring the Influencing Factors for Infant Mortality: A Mixed-Method Study of 24 Developing Countries Based on Demographic and Health Survey data

2021 ◽  
Author(s):  
Md. Akhtarul Islam ◽  
Tarana Tabassum ◽  
Mohammad Ali Moni
Keyword(s):  
Developing Countries ◽  
Logistic Regression ◽  
Infant Mortality ◽  
Regression Model ◽  
Mixed Method ◽  
Logistic Regression Model ◽  
Random Effect ◽  
Binary Logistic Regression ◽  
Forest Plot ◽  
Binary Logistic Regression Model

Objective: This study aimed to discover the prevalence of infant mortality and to assess how different factors influence infant mortality in 24 developing countries by utilizing the latest DHS data. Methods: This study used a mixed-method design to assemble cross-sectional studies to integrate data from 24 other countries due to a widening perspective of infant mortality. Most recent available DHS data of 24 different developing countries from the year 2013 to 2019 was used to conduct the study. Descriptive analysis, binary logistic regression model, random-effect meta-analysis, and forest plot have been used for the final analyses. Results: Binary logistic regression model revealed for Bangladesh that, higher education level of fathers (OR: 0.344, 95% CI: 0.147; 0.807), being 2nd born or above order infant (OR: 0.362, 95% CI: 0.248, 0.527), taking ANC (OR: 0.271, 95% CI: 0.192; 0.382 for 1-4 visits), taking PNC (OR: 0.303, 95% CI: 0.216; 0.425) were statistically significant determinants of lowering infant death. While carrying multiple fetus (OR: 6.634, 95% CI: 3.247; 13.555) was exposed as a risk factor of infant mortality. Most significant factors influencing infant mortality for all 24 developing countries were number of fetus (OR: 0.193, 95% CI: 0.176; 0.213), taking ANC (OR: 0.356, 95% CI: 0.311; 0.407) and taking PNC (OR: 0.302, 95% CI: 0.243; 0.375). Conclusion In this study, the number of the fetus, taking ANC and PNC, was the most significant factor affecting the risk of infant mortality in developing countries. So, anticipation and control projects ought to be taken in the field in regard to these hazard factors.

scholarly journals Determinants of biogas technology adoption in southern Ethiopia

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Lemma Shallo ◽  
Mitiku Ayele ◽  
Getachew Sime
Keyword(s):  
Rural Areas ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Water Sources ◽  
Spare Parts ◽  
Energy Sources ◽  
Southern Ethiopia ◽  
Binary Logistic Regression Model ◽  
Access To Credit ◽  
Biogas Technology

Abstract Background Renewable energies such as biogas are considered as clean sources of energy that minimize environmental impacts and are sustainable with regard to current and future economic and social needs. Biogas offers an attractive option for replacing the unsustainable usage of traditional energy sources such as firewood, cow dung, and charcoal in developing countries. In Ethiopia, these energy sources have been in decline. To address these challenges, mainly in rural areas, biogas technology has been domesticated since 2009, as seen in the National Program. The purpose of this study is thus to examine factors that influence households' decisions of adopting biogas technology in rural areas in southern Ethiopia. Methods A sample of 268 households with 134 biogas adopters and 134 non-adopters were surveyed using simple random and purposive sampling techniques, respectively. The data were collected through individual interviews of households using a semistructured questionnaire. Descriptive statistics and a binary logistic regression model were used for the data analysis. The binary logistic regression model was applied to identify determinant factors affecting the adoption of biogas technology. Results The results of the study indicated that biogas adopter and non-adopter households had significant mean differences in education level, cattle size, household income, farmland size, number of planted trees as well as the distance to water sources, market places, and firewood sources. Level of education, level of income, access to credit, distance to firewood sources, and access to electronic media had a significantly positive influence on the adoption of biogas technology. Conversely, distance to water sources and access to electricity had a significantly negative influence on the adoption of biogas technology. Conclusions Biogas technology mostly appears in privileged households having a better socioeconomic status and other resource endowments. The beneficiaries are thus households that can afford the higher initial investment costs for bio-digester installation, maintenance services and purchasing bio-digester spare parts; as well as households that have access to credit facilities, water sources for adequate water supply, markets for purchasing spare parts and electronic media for information, and also households residing far away from firewood sources.

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