Neonatal mortality remains a public health problem in Mali. The neonatal referral is a systemic factor determining the neonatal prognosis. This work was initiated to determine the frequency of neonatal referrals and t...Neonatal mortality remains a public health problem in Mali. The neonatal referral is a systemic factor determining the neonatal prognosis. This work was initiated to determine the frequency of neonatal referrals and to determine their prognosis. </span><b><span style="font-family:Verdana;">Patients and Methods: </span></b><span style="font-family:Verdana;">A cross-sectional study was carried out from November 1, 2019 to January 31, 2020 in the neonatology service of the pediatrics department of the Gabriel Toure University Hospital in Bamako. All newborns referred by another health structure in the country were included in this stud. All newborns referred by another health structure in the country were included in this study. To determine the risk factors related to the neonatal referral, we performed univariate and multivariate analyzes to determine the odds ratios and fitted with a significant p probability if p <</span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">0.05 and the 95% confidence interval. </span><b><span style="font-family:Verdana;">Results:</span></b><span style="font-family:Verdana;"> The frequency of referrals was 54.3%.</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">Newborns came from basic structures in 19.3% of cases, from tertiary structures in 6.7%.</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">The main reason for transfer was prematurity (40.2%) followed by perinatal anoxia (15.3%), malformations (15.3%), respiratory distress (15.2%) and infection neonatal (9.1%). The ambulance was the primary means of transfer in 71.3%.</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">In 80% of cases the transfer had been made within the first 24 hours of life. On admission, a third of the newborns (31.1%) were less than 1500</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">g, hypothermic in 43.8% and febrile in 15.1%.</span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">The evolution was marked by 40.2% of deaths. The analysis of prognostic factors, allowed us to observe that the more the newborn is premature or of low weight the more risk of death was very high with respectively 18.5 times </span><span style="font-family:Verdana;">in the less than 28 week</span></span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> of amenorrhea (WA) (ORa = 18</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">.</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">5;CI = 1.9</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">180;</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">p = 0.012) and 6.6 times in those less than 1000g (ORa = 6.6;CI = 1.4</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">29.7;p = 0.015). Likewise, any change in body temperature increased risk of death by 1.9 times compared to normothermia. </span><b><span style="font-family:Verdana;">Conclusion:</span></b><span style="font-family:Verdana;"> The establishment of a neonatal referral system is necessary to reduce neonatal mortality in our context.展开更多
The present study focuses on the analysis and description of lineaments interpreted as secondary structures to describe the nature of Senegalo Malian Discontinuity. These lineaments cross-cut the large north-south ori...The present study focuses on the analysis and description of lineaments interpreted as secondary structures to describe the nature of Senegalo Malian Discontinuity. These lineaments cross-cut the large north-south oriented transcurrent lithospheric structure known as the Senegalo Malian Discontinuity (SMD). Two lineaments were selected oriented NNE (N15˚ to N25˚), one at Dialafara and one at Sadiola. Four profiles on each lineament of these 2 zones, so that there were 2 on each side of the SMD. The ground data collected were processed using proper parameter and software. Some filters were applied to enhance the signal level. These ground data were later compared to the existing airborne magnetic data for consistency and accuracy using the upward continuation filter. The results show that the quality of ground data is good. In addition, the ground magnetic data show the presence of certain local anomalies that are not visible in the regional data. The analytical signal was also used to determine domain boundaries or possible contact zones. The contact zone can be highlighted on certain profiles such as L300 and L600. The study showed that the west and east sides of the SMD are not the same. Secondary structures become wide when approaching the SMD on both sides. They are also duplicated to the east of the SMD when we move progressively away. In the Dialafara area, the ground magnetic data intersect an interpreted fold. The results of this work confirm the presence of the secondary structures and their evolution in relation to the SMD. The relationships between the secondary structures in the Dailafara and Sadiola zones and their relations with the SMD are highlighted. The technique used in this study, is an important approach to better description and interpreting of regional structures using the secondary structures and proposing a structural model.展开更多
马莲河下游流域是我国陇东典型的黄土高原沟壑区,在气候和土地利用变化背景下研究其产水量的时空特征和变化响应,对区域生态系统可持续发展具有重要意义。基于InVEST(Integrated Valuation of Ecosystem Services and Trade-offs)模型...马莲河下游流域是我国陇东典型的黄土高原沟壑区,在气候和土地利用变化背景下研究其产水量的时空特征和变化响应,对区域生态系统可持续发展具有重要意义。基于InVEST(Integrated Valuation of Ecosystem Services and Trade-offs)模型定量评估1990年、2000年、2010年和2020年4个时期马莲河下游流域产水量的时空格局和变化,运用地理探测器分析影响因子对产水功能空间分异的影响程度。结果表明:(1)1990—2020年,马莲河下游流域总产水量整体呈现先减后增再减的变化趋势,2020年总产水量相比1990年减少了5.9×10^(7) m^(3),减少率为25.43%。不同时期产水量在空间上呈现南部和边缘地带高、北部和中心地带低的分布特征。(2)不同土地利用类型产水能力大小排序依次为:城镇用地>未利用地>耕地>低覆盖度草地>高覆盖度草地>灌木林>有林地>水域。(3)产水量与降水量呈现明显的正相关,与实际蒸散发量和海拔之间存在负相关。降水和实际蒸散发是决定产水量空间分布和变化的主导因素,q值分别为0.616~0.735和0.517~0.653。研究成果可为陇东黄土高原沟壑区水土资源开发、利用和管理提供科学支撑。展开更多
文摘Neonatal mortality remains a public health problem in Mali. The neonatal referral is a systemic factor determining the neonatal prognosis. This work was initiated to determine the frequency of neonatal referrals and to determine their prognosis. </span><b><span style="font-family:Verdana;">Patients and Methods: </span></b><span style="font-family:Verdana;">A cross-sectional study was carried out from November 1, 2019 to January 31, 2020 in the neonatology service of the pediatrics department of the Gabriel Toure University Hospital in Bamako. All newborns referred by another health structure in the country were included in this stud. All newborns referred by another health structure in the country were included in this study. To determine the risk factors related to the neonatal referral, we performed univariate and multivariate analyzes to determine the odds ratios and fitted with a significant p probability if p <</span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">0.05 and the 95% confidence interval. </span><b><span style="font-family:Verdana;">Results:</span></b><span style="font-family:Verdana;"> The frequency of referrals was 54.3%.</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">Newborns came from basic structures in 19.3% of cases, from tertiary structures in 6.7%.</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">The main reason for transfer was prematurity (40.2%) followed by perinatal anoxia (15.3%), malformations (15.3%), respiratory distress (15.2%) and infection neonatal (9.1%). The ambulance was the primary means of transfer in 71.3%.</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">In 80% of cases the transfer had been made within the first 24 hours of life. On admission, a third of the newborns (31.1%) were less than 1500</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">g, hypothermic in 43.8% and febrile in 15.1%.</span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">The evolution was marked by 40.2% of deaths. The analysis of prognostic factors, allowed us to observe that the more the newborn is premature or of low weight the more risk of death was very high with respectively 18.5 times </span><span style="font-family:Verdana;">in the less than 28 week</span></span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> of amenorrhea (WA) (ORa = 18</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">.</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">5;CI = 1.9</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">180;</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">p = 0.012) and 6.6 times in those less than 1000g (ORa = 6.6;CI = 1.4</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">29.7;p = 0.015). Likewise, any change in body temperature increased risk of death by 1.9 times compared to normothermia. </span><b><span style="font-family:Verdana;">Conclusion:</span></b><span style="font-family:Verdana;"> The establishment of a neonatal referral system is necessary to reduce neonatal mortality in our context.
文摘The present study focuses on the analysis and description of lineaments interpreted as secondary structures to describe the nature of Senegalo Malian Discontinuity. These lineaments cross-cut the large north-south oriented transcurrent lithospheric structure known as the Senegalo Malian Discontinuity (SMD). Two lineaments were selected oriented NNE (N15˚ to N25˚), one at Dialafara and one at Sadiola. Four profiles on each lineament of these 2 zones, so that there were 2 on each side of the SMD. The ground data collected were processed using proper parameter and software. Some filters were applied to enhance the signal level. These ground data were later compared to the existing airborne magnetic data for consistency and accuracy using the upward continuation filter. The results show that the quality of ground data is good. In addition, the ground magnetic data show the presence of certain local anomalies that are not visible in the regional data. The analytical signal was also used to determine domain boundaries or possible contact zones. The contact zone can be highlighted on certain profiles such as L300 and L600. The study showed that the west and east sides of the SMD are not the same. Secondary structures become wide when approaching the SMD on both sides. They are also duplicated to the east of the SMD when we move progressively away. In the Dialafara area, the ground magnetic data intersect an interpreted fold. The results of this work confirm the presence of the secondary structures and their evolution in relation to the SMD. The relationships between the secondary structures in the Dailafara and Sadiola zones and their relations with the SMD are highlighted. The technique used in this study, is an important approach to better description and interpreting of regional structures using the secondary structures and proposing a structural model.
文摘马莲河下游流域是我国陇东典型的黄土高原沟壑区,在气候和土地利用变化背景下研究其产水量的时空特征和变化响应,对区域生态系统可持续发展具有重要意义。基于InVEST(Integrated Valuation of Ecosystem Services and Trade-offs)模型定量评估1990年、2000年、2010年和2020年4个时期马莲河下游流域产水量的时空格局和变化,运用地理探测器分析影响因子对产水功能空间分异的影响程度。结果表明:(1)1990—2020年,马莲河下游流域总产水量整体呈现先减后增再减的变化趋势,2020年总产水量相比1990年减少了5.9×10^(7) m^(3),减少率为25.43%。不同时期产水量在空间上呈现南部和边缘地带高、北部和中心地带低的分布特征。(2)不同土地利用类型产水能力大小排序依次为:城镇用地>未利用地>耕地>低覆盖度草地>高覆盖度草地>灌木林>有林地>水域。(3)产水量与降水量呈现明显的正相关,与实际蒸散发量和海拔之间存在负相关。降水和实际蒸散发是决定产水量空间分布和变化的主导因素,q值分别为0.616~0.735和0.517~0.653。研究成果可为陇东黄土高原沟壑区水土资源开发、利用和管理提供科学支撑。