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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 2

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

Data availability for selected variables
 SORMAS, %† n = 90
 CS, %‡ n = 150
 95% CI for difference
Sex 91 92 (−0.09 to 0.07)
Occupation 84 57 (0.15 to 0.39)
Date of birth 69 55 (0.00 to 0.27)
Onset date of symptoms 89 85 (−0.06 to 0.13)
Body temperature 53 3 (0.39 to 0.62)

*95% CI indicates difference in percentage of completeness determined by using 2-sample χ2 test. CS, conventional system; SORMAS, Surveillance Outbreak Response Management and Analysis System.
†Percentage of completeness for monkeypox cases notified directly in SORMAS by district surveillance officers in the field.
‡Percentage of completeness for monkeypox cases that arrived at the Nigeria Centre for Disease Control though the conventional system and were retrospectively registered in SORMAS.

Main Article

Page created: January 20, 2020
Page updated: January 20, 2020
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