5 results on '"Ngoyi, Bonaventure"'
Search Results
2. Comparison of platforms for testing antibodies to Chlamydia trachomatis antigens in the Democratic Republic of the Congo and Togo.
- Author
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Gwyn S, Awoussi MS, Bakhtiari A, Bronzan RN, Crowley K, Harding-Esch EM, Kassankogno Y, Kilangalanga JN, Makangila F, Mupoyi S, Ngondi J, Ngoyi B, Palmer S, Randall JM, Seim A, Solomon AW, Stewart R, Togbey K, Uvon PA, and Martin DL
- Subjects
- Child, Child, Preschool, Democratic Republic of the Congo epidemiology, Female, Humans, Infant, Male, Prevalence, Seroepidemiologic Studies, Serologic Tests, Togo epidemiology, Antibodies, Bacterial blood, Antigens, Bacterial chemistry, Chlamydia trachomatis metabolism, Trachoma blood, Trachoma epidemiology
- Abstract
Trachoma, caused by repeated ocular infection with Chlamydia trachomatis (Ct), is targeted for elimination as a public health problem. Serological testing for antibodies is promising for surveillance; determining useful thresholds will require collection of serological data from settings with different prevalence of the indicator trachomatous inflammation-follicular (TF). Dried blood spots were collected during trachoma mapping in two districts each of Togo and Democratic Republic of the Congo. Anti-Ct antibodies were detected by multiplex bead assay (MBA) and three different lateral flow assays (LFA) and seroprevalence and seroconversion rate (SCR) were determined. By most tests, the district with > 5% TF (the elimination threshold) had five-sixfold higher seroprevalence and tenfold higher SCR than districts with < 5% TF. The agreement between LFA and MBA was improved using a black latex developing reagent. These data show optimization of antibody tests against Ct to better differentiate districts above or below trachoma elimination thresholds.
- Published
- 2021
- Full Text
- View/download PDF
3. Contextual, Social and Epidemiological Characteristics of the Ebola Virus Disease Outbreak in Likati Health Zone, Democratic Republic of the Congo, 2017.
- Author
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Grimes KEL, Ngoyi BF, Stolka KB, Hemingway-Foday JJ, Lubula L, Mossoko M, Okitandjate A, MacDonald PDM, Nelson A, Rhea S, and Ilunga BK
- Subjects
- Democratic Republic of the Congo epidemiology, Disease Outbreaks, Humans, Ebolavirus, Epidemics, Hemorrhagic Fever, Ebola diagnosis
- Abstract
While the clinical, laboratory and epidemiological investigation results of the Ebola outbreak in Likati Health Zone, Democratic Republic of the Congo (DRC) in May 2017 have been previously reported, we provide novel commentary on the contextual, social, and epidemiological characteristics of the epidemic. As first responders with the outbreak Surveillance Team, we explain the procedures that led to a successful epidemiological investigation and ultimately a rapid end to the epidemic. We discuss the role that several factors played in the trajectory of the epidemic, including traditional healers, insufficient knowledge of epidemiological case definitions, a lack of community-based surveillance systems and tools, and remote geography. We also demonstrate how a collaborative Rapid Response Team and implementation of community-based surveillance methods helped counter contextual challenges during the Likati epidemic and aid in identifying and reporting suspected cases and contacts in remote and rural settings. Understanding these factors can hinder or help in the rapid detection, notification, and response to future epidemics in the DRC., (Copyright © 2020 Grimes, Ngoyi, Stolka, Hemingway-Foday, Lubula, Mossoko, Okitandjate, MacDonald, Nelson, Rhea and Ilunga.)
- Published
- 2020
- Full Text
- View/download PDF
4. Lessons Learned from Reinforcing Epidemiologic Surveillance During the 2017 Ebola Outbreak in the Likati District, Democratic Republic of the Congo.
- Author
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Hemingway-Foday JJ, Ngoyi BF, Tunda C, Stolka KB, Grimes KEL, Lubula L, Mossoko M, Kebela BI, Brown LM, and MacDonald PDM
- Subjects
- Community Health Workers education, Data Management methods, Democratic Republic of the Congo epidemiology, Ebolavirus, Hemorrhagic Fever, Ebola classification, Humans, Information Dissemination methods, Disease Outbreaks prevention & control, Epidemiological Monitoring, Hemorrhagic Fever, Ebola epidemiology
- Abstract
On May 12, 2017, the Democratic Republic of Congo (DRC) publicly declared an outbreak of Ebola virus disease (EVD) in the Likati District of the Bas-Uélé Province, 46 days after the index case became symptomatic. The delayed EVD case detection and reporting highlights the importance of establishing real-time surveillance, consistent with the Global Health Security Agenda. We describe lessons learned from implementing improved EVD case detection and reporting strategies at the outbreak epicenter and make recommendations for future response efforts. The strategies included daily coordination meetings to enhance effective and efficient outbreak response activities, assessment and adaptation of case definitions and reporting tools, establishment of a community alert system using context-appropriate technology, training facility and community health workers on adapted case definitions and reporting procedures, development of context-specific plans for outbreak data management, and strengthened operational support for communications and information-sharing networks. Post-outbreak, surveillance officials should preemptively plan for the next outbreak by developing emergency response plans, evaluating the case definitions and reporting tools used, retraining on revised case definitions, and developing responsive strategies for overcoming telecommunications and technology challenges. The ongoing EVD outbreak in the North Kivu and Ituri provinces of DRC, currently the second largest EVD outbreak in history, demonstrates that documentation of successful context-specific strategies and tools are needed to combat the next outbreak. The lessons learned from the rapid containment of the EVD outbreak in Likati can be applied to the DRC and other rural low-resource settings to ensure readiness for future zoonotic disease outbreaks.
- Published
- 2020
- Full Text
- View/download PDF
5. Assessing the Surveillance System for Priority Zoonotic Diseases in the Democratic Republic of the Congo, 2017.
- Author
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Stolka KB, Ngoyi BF, Grimes KEL, Hemingway-Foday JJ, Lubula L, Nzanzu Magazani A, Bikuku J, Mossoko M, Manya Kitoto L, Mpangi Bashilebo S, Lufwa Maya D, Kebela Ilunga B, Rhea S, and MacDonald PDM
- Subjects
- Animals, Data Collection standards, Democratic Republic of the Congo epidemiology, Health Knowledge, Attitudes, Practice, Health Personnel standards, Humans, Public Health standards, Surveys and Questionnaires, Communicable Diseases epidemiology, Disease Outbreaks prevention & control, Population Surveillance methods, Zoonoses
- Abstract
High-functioning communicable disease surveillance systems are critical for public health preparedness. Countries that cannot quickly detect and contain diseases are a risk to the global community. The ability of all countries to comply with the International Health Regulations is paramount for global health security. Zoonotic diseases can be particularly dangerous for humans. We conducted a surveillance system assessment of institutional and individual capacity in Kinshasa and Haut Katanga provinces in the Democratic Republic of the Congo for nationally identified priority zoonotic diseases (eg, viral hemorrhagic fever [VHF], yellow fever, rabies, monkeypox, and influenza monitored through acute respiratory infections). Data were collected from 79 health workers responsible for disease surveillance at 2 provincial health offices, 9 health zone offices, 9 general reference hospitals, and 18 health centers and communities. A set of questionnaires was used to assess health worker training in disease surveillance methods; knowledge of case definitions; availability of materials and tools to support timely case detection, reporting, and data interpretation; timeliness and completeness of reporting; and supervision from health authorities. We found that health workers either had not been recently or ever trained in surveillance methods and that their knowledge of case definitions was low. Timeliness and completeness of weekly notification of epidemic-prone diseases was generally well performed, but the lack of available standardized reporting forms and archive of completed forms affected the quality of data collected. Lessons learned from our assessment can be used for targeted strengthening efforts to improve global health security.
- Published
- 2018
- Full Text
- View/download PDF
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