Calculation of incubation period and serial interval from multiple outbreaks of Marburg virus disease

BMC Research Notes

Boris I Pavlin¹ 

[1]General Preventive Medicine Residency Program, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St., Baltimore, MD 21205, USA

关键词: Haemorrhagic fever;    Outbreak;    Incubation period;    Clinical onset serial interval;    Marburg;   

Others  :  1092112
DOI  :  10.1186/1756-0500-7-906

 received in 2014-11-29, accepted in 2014-12-10,  发布年份 2014

【 摘 要 】

Background

Marburg viruses have been responsible for a number of outbreaks throughout sub-Saharan Africa, as well as a number of laboratory infections. Despite many years of experience with the viruses, little is known about several important epidemiologic parameters relating to the development of Marburg virus disease. The analysis uses pooled data from all Marburg cases between 1967 and 2008 to develop estimates for the incubation period and the clinical onset serial interval (COSI).

Methods

Data were obtained from original outbreak investigation forms (n = 406) and from published data (n = 45). Incubation periods were calculated for person-to-person exposure, for laboratory-acquired infections, and for presumed zoonotic exposures. Similar analysis was conducted for COSI, using only cases with unambiguous person-to-person transmission where both the primary and the secondary case patients had well-defined illness onsets.

Results

Seventy-six cases were retained for the incubation period analysis. Incubation periods ranged from a minimum of 2 days in the case of two laboratory workers to a maximum of at least 26 days for a person-to-person household transmission. Thirty-eight cases were retained for COSI analysis. The median COSI was 11 days, with an interquartile range of 8 to 15.

Conclusions

This study extends the maximum known incubation period of Marburg virus disease to 26 days. The analysis was severely hampered by a lack of completeness in epidemiologic data. It is necessary to prioritize obtaining more accurate epidemiologic data in future outbreaks; greater use of COSI may facilitate an improved understanding of outbreak dynamics in Marburg and other diseases.

【 授权许可】

   
2014 Pavlin; licensee BioMed Central Ltd.

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