Evaluation of viral haemorrhagic fever surveillance system with focus on Ebola virus disease, Bawku municipality- Upper East Region, Ghana, 2011-2015

Background

We evaluated the Viral haemorrhagic fever (VHF) surveillance system from 2011 to 2015 in the Bawku Municipality, Upper East region, Ghana to determine whether the goals of the surveillance system are being met and to assess the performance of the system attributes.

Design

Descriptive secondary data analysis.

Setting

Bawku Municipality

Data Source

Review VHF surveillance records, interviewed community-based surveillance volunteers (CBSVs) and reviewed vital events registers. We also assessed the system attributes by reviewing records and interviewing key stakeholders involved in VHF surveillance system with focus on Ebola using checklist and semi structured questionnaire developed based on the Centers for Disease Control and Prevention (CDC) guidelines.

Main outcome measure

System attributes of the VHF surveillance system

Results

Population under surveillance was 105,849. The system required detail information about suspected cases. However, it had a simple and clear standard case definitions, and was well integrated with the IDSR. There is a regular and timely flow of information. The system captured 155 suspected cases nationwide from 2011 to 2015 and all tested negative. Of these, Upper East Region reported 10 suspected cases including 4 suspected cases from Bawku Municipality.

Conclusion

The VHF surveillance system achieved its objectives. However, poor data quality, inadequately trained surveillance officers, and inadequate financial support are threats to the effectiveness of the system.

Funding

This work was supported by Ghana Field Epidemiology and Laboratory Training Program (GFELTP), University of Ghana

Protracted cholera outbreak in the Central Region, Ghana, 2016

OBJECTIVE

On 24th October 2016, the Central Regional Health Directorate received report of a suspected cholera outbreak in the Cape Coast Metropolis (CCM). We investigated to confirm the diagnosis, identify risk factors and implement control measures.

DESIGN

We used a descriptive study followed by 1:2 unmatched case-control study.

DATA SOURCE

We reviewed medical records, conducted active case search and contact tracing, interviewed case-patients and their contacts and conducted environmental assessment. Case-patients' stool samples were tested with point of care test kits (SD Bioline Cholera Ag 01/0139) and sent to the Cape Coast Teaching Hospital Laboratory for confirmation.

MAIN OUTCOMES

Cause of outbreak, risk factors associated with spread of outbreak.

RESULTS

Vibrio cholerae serotype Ogawa caused the outbreak. There was no mortality. Of 704 case-patients, 371(52.7%) were males and 55(7.8%) were aged under-five years. The median age was 23 years (interquartile range: 16-32 years). About a third 248(35.2%) of the case patients were aged 15-24 years. The University of Cape Coast subdistrict was the epicenter with 341(48.44%) cases. Compared to controls, cholera case-patients were more likely to have visited Cholera Treatment Centers (CTC) (aOR=12.1, 95%CI: 1.5-101.3), drank pipe-borne water (aOR=11.7, 95%CI: 3.3-41.8), or drank street-vended sachet water (aOR=11.0, 95%CI: 3.7-32.9). Open defecation and broken sewage pipes were observed in the epicenter.

CONCLUSION

Vibrio cholerae serotype Ogawa caused the CCM cholera outbreak mostly affecting the youth. Visiting CTC was a major risk factor. Prompt case-management, contact tracing, health education, restricting access to CTC and implementing water sanitation and hygiene activities helped in the control.

FUNDING

This work was supported by Ghana Field Epidemiology and Laboratory Training Program (GFELTP), University of Ghana.