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BackgroundMaternal mortality and morbidity reflect the status of population health and quality of life across nations. Poor understanding of the interplay of many antecedent factors, including sociocultural, economic and logistic factors, combined with an overwhelming poor health services delivery, is a basic challenge in several countries, particularly in rural settings where functional health care services are relatively scarce. There are still uncertainties as to the extent of this burden, owing to current challenges with information and data collation. This study aimed at identifying nonmedical factors associated with maternal mortality in rural and semiurban communities of southwestern Nigeria.MethodologyThe study was carried out in Ado-Odo/Ota Local Government Area of Ogun State. A multistage sampling technique and an informant survey approach were used in the study. A total sample of 360 eligible respondents were selected randomly from 11 out of 16 political wards in the study area and interviewed through the administration of questionnaires. The data were processed using descriptive statistics and regression analyses.ResultsPlace of consultation (P=0.000), who pays the treatment costs (P=0.000), awareness of pregnancy complications (P=0.002) and knowledge of the place of antenatal care treatment (P=0.000) significantly influenced maternal mortality (proxy by place of delivery of last birth). The F-statistic (15.100) confirmed the hypothesis that nonmedical factors influence maternal mortality. The correlation of predictor variables was significant at both the 0.01 level and the 0.05 level (2-tailed).ConclusionOur findings suggest that in a rural community setting with a depleted health care system, health education tailored toward community culture, subsidized maternal health care services by the government and operators of private clinics, as well as empowering and improving the status of women may reduce maternal mortality and prompt better utilization and survival chances of women in the study area as well as in all of Nigeria.

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The final effluents of three (Alice, Dimbaza, and East London) wastewater treatment plants (WWTPs) were evaluated to determine their physicochemical quality and prevalence of multiple antibiotics resistant (MAR) Pseudomonas species, between August 2007 and July 2008. The annual mean total Pseudomonas count (TPC) was 1.20 × 104 (cfu/100 mL), 1.08 × 104 (cfu/100 mL), and 2.66 × 104 (cfu/100 mL), for the Alice, Dimbaza, and East London WWTPs respectively. The effluents were generally compliant with recommended limits for pH, temperature, TDS, DO, nitrite and nitrate; but fell short of target standards for turbidity, COD, and phosphate. The tested isolates were highly sensitive to gentamicin (100%), ofloxacin (100%), clindamycin (90%), erythromycin (90%) and nitrofurantoin (80%); whereas high resistance was observed against the penicillins (90–100%), rifampin (90%), sulphamethoxazole (90%) and the cephems (70%). MAR index ranged between 0.26 and 0.58. The study demonstrated that MAR Pseudomonas species were quite prevalent in the final effluents of WWTPs in South Africa; and this can lead to serious health risk for communities that depend on the effluent-receiving waters for sundry purposes.