Skip directly to site content Skip directly to page options Skip directly to A-Z link Skip directly to A-Z link Skip directly to A-Z link
Volume 26, Number 2—February 2020
Dispatch

Use of Surveillance Outbreak Response Management and Analysis System for Human Monkeypox Outbreak, Nigeria, 2017–2019

Bernard C. Silenou, Daniel Tom-Aba, Olawunmi Adeoye, Chinedu C. Arinze, Ferdinand Oyiri, Anthony K. Suleman, Adesola Yinka-Ogunleye, Juliane Dörrbecker, Chikwe Ihekweazu, and Gérard KrauseComments to Author 
Author affiliations: Helmholtz Centre for Infection Research, Braunschweig, Germany (B.C. Silenou, D. Tom-Aba, J. Dörrbecker, G. Krause); PhD Programme “Epidemiology,” Braunschweig-Hannover, Germany (B.C. Silenou, D. Tom-Aba); Nigeria Center for Disease Control, Abuja, Nigeria (O. Adeoye, C.C. Arinze, F. Oyiri, A.K. Suleman, A. Yinka-Ogunleye, C. Ihekweazu); German Center for Infection Research, Braunschweig (G. Krause)

Main Article

Table 1

Qualitative comparison of attributes of SORMAS and the conventional surveillance system in response to monkeypox outbreak in Nigeria, November 2017–July 2019

Attribute SORMAS CS Comments
Average time for data to arrive at NCDC from LGAs
2 min
2 d
For the CS, the DSNOs sent the paper case forms by post to NCDC, thus requiring longer time for case forms to arrive at NCDC.
Average time to update data (sample results from the laboratory, case classification, outcome, contacts) per case
5 min
20 min
Update in SORMAS requires searching for a case in the case directory and directly updating the fields. For the CS, the database was Excel (https://www.microsoft.com), and each type of case data was stored on a different Excel sheet, thus increasing the time and complexity of updating case data.
Workload to transfer cases from paper forms to database at NCDC
Less
More
With the CS, all case forms were entered in an Excel database at NCDC; with SORMAS, 90 (38%) of the 240 cases were entered directly from the field by DSNOs.
Availability of dashboard and statistics module to generate epidemiologic indicators for disease surveillance (e.g., case classification status, epidemic curve, laboratory test results, fatalities, and map of spatial distribution of cases and contact persons) Yes No SORMAS had a dashboard that displayed the needed surveillance indicators; the CS did not.

*CS, conventional system; DSNOs, district surveillance notification officers; NCDC, Nigeria Centre for Disease Control; LGAs, local government areas; SORMAS, Surveillance Outbreak Response Management and Analysis System.

Main Article

Page created: January 20, 2020
Page updated: January 20, 2020
Page reviewed: January 20, 2020
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
file_external