Dataset Information

A cholera outbreak in a rural north central Nigerian community: an unmatched case-control study.

ABSTRACT: BACKGROUND:Cholera remains a disease of public health importance in Nigeria associated with high morbidity and mortality. In November 2014, the Nigeria Field Epidemiology and Laboratory Training Programme (NFELTP) was notified of an increase in suspected cholera cases in Gomani, Kwali Local Government Area. NFELTP residents were deployed to investigate the outbreak with the objectives of verifying the diagnosis, identifying risk factors and instituting appropriate control measures to control the outbreak. METHODS:We conducted an unmatched case-control study. We defined a cholera case as any person aged ?5?years with acute watery diarrhea in Gomani community. We identified community controls. A total of 43 cases and 68 controls were recruited. Structured questionnaires were administered to both cases and controls. Four stool samples from case-patients and two water samples from the community water source were collected for laboratory investigation. We performed univariate and bivariate analysis using Epi-Info version 7.1.3.10. RESULTS:The mean age of cases and controls was 20.3?years and 25.4 respectively (p value 0.09). Females constituted 58.1% (cases) and 51.5%(controls). The attack rate was 4.3% with a case fatality rate of 13%. Four stool (100%) specimen tested positive for Vibrio cholerae. The water source and environment were polluted by indiscriminate defecation. Compared to controls, cases were more likely to have drank from Zamani river (OR 14.2, 95% CI: 5.5-36.8) and living in households(HH) with more than 5 persons/HH (OR 5.9, 95% CI: 1.3-27.2). Good hand hygiene was found to be protective (OR 0.3, 95% CI: 0.1-0.7). CONCLUSION:Vibrio cholerae was the cause of the outbreak in Gomani. Drinking water from Zamani river, living in overcrowded HH and poor hand hygiene were significantly associated with the outbreak. We initiated hand hygiene and water treatment to control the outbreak.

SUBMITTER: Dan-Nwafor CC

PROVIDER: S-EPMC6347749 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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A cholera outbreak in a rural north central Nigerian community: an unmatched case-control study.

Dan-Nwafor Chioma Cindy CC Ogbonna Uzoma U Onyiah Pamela P Gidado Saheed S Adebobola Bashorun B Nguku Patrick P Nsubuga Peter P

BMC public health 20190125 1

<h4>Background</h4>Cholera remains a disease of public health importance in Nigeria associated with high morbidity and mortality. In November 2014, the Nigeria Field Epidemiology and Laboratory Training Programme (NFELTP) was notified of an increase in suspected cholera cases in Gomani, Kwali Local Government Area. NFELTP residents were deployed to investigate the outbreak with the objectives of verifying the diagnosis, identifying risk factors and instituting appropriate control measures to con ...[more]

PMID: 30683078

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Project description:BACKGROUND:Maternal and neonatal mortality remain a significant problem across much of the developing world, especially in sub-Saharan Africa countries. In Ethiopia, most maternal and neonatal deaths occur during the postpartum period; this is a critical time for monitoring the health of women and newborns, but the most neglected period for care. In rural communities of Ethiopia, the utilization of postnatal care service is very low and evidence on which factors contribute to the non-utilization of postnatal care (PNC) is insufficient. Consequently, this study was designed to identify the determinants of postnatal service non-utilization among women who gave birth in Demba Gofa rural district, Southern Ethiopia. METHODS:A community-based unmatched case-control study was conducted among 186 cases (postnatal care non-utilizers) and 186 controls (postnatal care utilizers) in Demba Gofa rural district from March 1 to April 10, 2019. A previously tested interviewer-administered structured questionnaire was used for data collection. Binary logistic regression analysis was performed. In the final multivariable logistic regression analysis model, a p-value of less than 0.05 and an Adjusted Odd Ratio (AOR) with a 95% confidence interval (CI) was used to determine variables for postnatal care non-utilization. RESULTS:In this study, women who delivered recently were incorporated within 186 cases and 186 controls. Not knowing the availability of PNC services (AOR: 4.33, 95% CI: 1.71-10.99), having a home delivery (AOR: 7.06, 95% CI: 3.71-13.44), ANC non-attendance (AOR: 6.14, 95% CI: 3.01-12.50), unable to make an independent decision (AOR: 9.31, 95% CI: 3.29-26.35), and not participating in the Women's Development Army (WDA) (AOR: 5.09, 95% CI: 2.73-9.53) comprised the determinants which were assessed for non-utilization of postnatal care services. CONCLUSIONS:Encouraging institutional delivery along with integrated health education about postnatal care and postnatal danger signs, empowering women to execute independent decisions, accessing PNC services and strengthening participation in the Model Families will likely improve postnatal care service utilization in the district of Ethiopia.

Project description:ObjectivesNeonatal sepsis is a leading cause of neonatal morbidity and mortality, particularly in the developing countries. Delays in the identification and treatment of neonatal sepsis are among the main contributors to the high mortality. The aim of this study was to determine the risk factors of neonatal sepsis in public hospitals of Mekelle City, Tigray Region, North Ethiopia, 2015.MethodsA hospital based case control study was done in public hospitals of Mekelle City, Tigray region. Cases were neonates who had sepsis with their index mothers and controls were neonates who hadn't had sepsis with their index mothers. Hematologic findings were used to diagnose sepsis once the neonates were being clinically suspected. Cases and controls were selected using the systematic sampling technique. Data were entered using Epi info version 7 and then analyzed using SPSS window 20. The binary logistic regression model was used to test the association between dependent and independent variables and multivariable logistic regression was used to identify the associated risk factors to neonatal sepsis.FindingsA total of 78 cases and 156 controls were included in this study. More than three quarters (76.8%) of cases had early onset sepsis. The multivariable logistic regression analysis showed that the possible risk factors of neonatal sepsis in this study were; history of maternal urinary tract infection or sexually transmitted infection [AOR = 5. 23; 95% CI (1.82, 15.04)], prolonged rupture of membrane [AOR = 7. 43; 95% CI (2.04, 27.1)], Place of delivery; health center delivery [AOR = 5. 7; 95% CI (1.71, 19.03)], intrapartum fever [AOR = 6. 1 95% CI (1.29, 28.31)], APGAR score <7 at 5th minute [AOR = 68. 9; 95% CI (3.63, 1308)] and not crying immediately at birth [AOR = 124. 0; 95% CI (6.5, 2379)].ConclusionBoth maternal and neonatal factors had contributed to the risk of neonatal sepsis. Strengthening of the existing risk based prevention strategies as well as improvement of institutional delivery practices are crucial.

Project description:BackgroundIn Ethiopia about 25% of rural women are chronically malnourished. Non-pregnant and non-lactating women present an opportunity to implement strategies to correct maternal and child health status and to potentiate improved pregnancy outcomes in developing countries like Ethiopia. The determinant factors of chronic energy deficiency vary across settings and contexts; hence, it is important to identify local determinant factors in order to implement effective and efficient intervention strategies.ObjectiveTo assess the determinants of chronic energy deficiency of non-pregnant, non-lactating rural women within the reproductive age group (15-49 years), in rural kebeles of Dera district, North West Ethiopia, 2019.MethodsA community based unmatched case control study was conducted. A total of 552 participants were involved and a multi-stage sampling technique was used to select the samples. Data was collected from January 15 to February 30, 2019 using face-to-face interviews and anthropometric assessments. EPI-info version 7 and SPSS™ version 23 were used for data entry and analysis, respectively. Bivariable and multivariable logistic regression models were used to analyze the association between dependent and independent variables. Association was considered statistically significant at 95% CI with p-value < 0.05 in multivariable logistic regression.ResultA total of 548 non-pregnant, non-lactating women with 137 cases and 411 controls were included in the study with a response rate of 99.3%. High family size (AOR = 1.88, 95% CI: 1.085, 3.275), low educational status (AOR = 3.389, 95% CI: 1.075, 10.683), inadequate meal frequency (AOR = 5.345, 95% CI: 2.266, 12.608), absence of home garden (AOR = 5.612, 95% CI: 3.177, 9.915) and absence of latrine facility (AOR = 6.365, 95% CI: 3.534, 11.462) were found positively associated with chronic energy deficiency.Conclusion and recommendationInadequate meal frequency, absence of home gardening, absence of latrine facility, high family size and educational status of illiterate were the determinants of chronic energy deficiency, thus indicating the imperative for a multi-sectoral approach with health, agriculture and education entities developing and delivering interventions.

Project description:BackgroundNinety percent of the global annual malaria mortality cases emanate from the African region. About 80-90% of malaria transmissions in sub-Saharan Africa occur indoors during the night. In Zimbabwe, 79% of the population are at risk of contracting the disease. Although the country has made significant progress towards malaria elimination, isolated seasonal outbreaks persistently resurface. In 2017, Beitbridge District was experiencing a second malaria outbreak within 12 months prompting the need for investigating the outbreak.MethodsAn unmatched 1:1 case-control study was conducted to establish the risk factors associated with contracting malaria in Ward 6 of Beitbridge District from week 36 to week 44 of 2017. The sample size constituted of 75 randomly selected cases and 75 purposively selected controls. Data were collected using an interviewer-administered questionnaire and Epi Info version 7.2.1.0 was used to conduct descriptive, bivariate and multivariate analyses of the factors associated with contracting malaria.ResultsFifty-two percent of the cases were females and the mean age of cases was 29?±?13 years. Cases were diagnosed using rapid diagnostic tests. Sleeping in a house with open eaves (OR: 2.97; 95% CI 1.44-6.16; p?<?0.01), spending the evenings outdoors (OR: 2.24; 95% CI 1.04-4.85; p?=?0.037) and sleeping in a poorly constructed house (OR: 4.33; 95% CI 1.97-9.51; p?<?0.01) were significantly associated with contracting malaria while closing eaves was protective (OR: 0.45; 95% CI 0.20-1.02; p?=?0.055). After using backward stepwise logistic regression, sleeping in a poorly constructed house was associated with five-fold odds of getting sick from malaria (AOR: 8.40; 95% CI 1.69-41.66; p?=?0.009). Those who had mosquito nets did not use them consistently. The district health team and the rural health centre were well prepared to response despite having limited human resources.ConclusionHealth promotion messages should emphasize the importance of closing the entry points of the malaria vector, and the construction of better houses in the future. Residents had to be educated in the importance of consistent use of mosquito nets. The district had to improve malaria preventive measures like distribution of mosquito nets and lobby for more human resources to assist with malaria surveillance thus, curbing the recurrence of malaria outbreaks.

Dataset Information

A cholera outbreak in a rural north central Nigerian community: an unmatched case-control study.

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A cholera outbreak in a rural north central Nigerian community: an unmatched case-control study.

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