Publications by authors named "Oumarou S"

Industrial mixers are equipment used in food, drug, chemical and semiconductor industries. Chaotic mixing has been proposed to improve the degree of homogeneity and reduce the energy consumption. This paper deals with dynamical studies of a mixer model with complex rotational movements.

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Background: Postabortion care (PAC), which is an essential element of emergency obstetric care, is underresearched in Niger. The study aims to assess the availability, readiness, and accessibility of facility-based PAC services in Niger.

Methods: This study uses female and facility data from Performance Monitoring for Action Niger.

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Article Synopsis
  • Niger has limited research and legal restrictions on induced abortion, making this the first national study to estimate its incidence and safety.
  • The study used data from a survey of 3,696 women aged 15-49, revealing a one-year abortion rate of 6.7 per 1,000 when using the indirect method, compared to 0.4 per 1,000 for self-reports.
  • Findings showed a high prevalence of unsafe abortions, with 97% of respondents indicating non-recommended methods, highlighting the need for better access to family planning and post-abortion care in Niger.
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West Africa is a dry region and drought tolerant sweetpotato cultivar was not reported. The objective of this study was to develop higher yielding drought tolerant sweetpotato hybrids following accelerated breeding scheme (ABS), and study G × E interaction. During advanced yield trial, the assessment of clones was conducted in six locations: four in Niger and two in Nigeria.

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  • Reproductive coercion (RC) is a form of abuse where partners manipulate a woman's reproductive choices, and its prevalence and factors vary significantly across low- and middle-income countries (LMICs).
  • A study analyzed data from various LMICs, using a validated RC Scale to measure the prevalence of RC behaviors among women in need of contraception.
  • Findings revealed that the overall prevalence of RC was highest in Kongo Central, DRC (20.3%) and lowest in Niger (3.1%), with polygyny identified as a major risk factor in multiple locations.
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Reports of school and work absences due to unmet menstrual needs have prompted increased attention to menstruation in policy and practice. However, there appear to be few quantitative studies reported in published literature capturing the prevalence of this hypothesised absenteeism. This study undertook secondary analysis of nationally representative Performance Monitoring and Accountability 2020 (PMA2020) data from Burkina Faso and Nigeria, and city-representative data from Niamey, Niger to determine the extent of women's and girls' self-reported absence from school and work due to menstruation.

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The Performance Monitoring and Accountability 2020 (PMA2020) project implemented a multi-country sub-project called PMA Agile, a system of continuous data collection for a probability sample of urban public and private health facilities and their clients that began November 2017 and concluded December 2019.  The objective was to monitor the supply, quality and consumption of family planning services.  In total, across 14 urban settings, nearly 2300 health facilities were surveyed three to six times in two years and a total sample of 48,610 female and male clients of childbearing age were interviewed in Burkina Faso, Democratic Republic of Congo, India, Kenya, Niger and Nigeria.

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Article Synopsis
  • The Family Planning 2020 (FP2020) initiative was launched in 2012 with the goal of increasing modern contraceptive use among 120 million women in the 69 poorest countries by 2020, requiring significant growth in contraceptive prevalence rates.
  • Researchers analyzed trends in contraceptive use in nine settings across eight sub-Saharan African countries using data from 45 rounds of PMA2020 surveys post-2012, focusing on women aged 15-49.
  • The study used statistical models to estimate changes in contraceptive prevalence rates, revealing insights into the effectiveness of the initiative in different regions.
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