Emerging Infectious Diseases – Volume 22, Number 3—March 2016

Emerging Infectious Diseases
Volume 22, Number 3—March 2016
http://wwwnc.cdc.gov/eid/

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Expedited Ahead-of-Print Articles
Zika Virus in a Traveler Returning to China from Caracas, Venezuela, February 2016 J. Li et al. June 2016
Perspectives on West Africa Ebola Virus Disease Outbreak, 2013–2016 J. R. Spengler et al. June 2016
Projecting Month of Birth for At-Risk Infants after Zika Virus Disease Outbreaks J. Reefhuis et al. May 2016

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Research
Mortality Rates during Cholera Epidemic, Haiti, 2010–2011
F. J. Luquero et al.
Summary
Actual rates were higher than rates calculated from healthcare facility reports.

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Effects of Response to 2014–2015 Ebola Outbreak on Deaths from Malaria, HIV/AIDS, and Tuberculosis, West Africa
A. S. Parpia et al.
Abstract
Response to the 2014–2015 Ebola outbreak in West Africa overwhelmed the healthcare systems of Guinea, Liberia, and Sierra Leone, reducing access to health services for diagnosis and treatment for the major diseases that are endemic to the region: malaria, HIV/AIDS, and tuberculosis. To estimate the repercussions of the Ebola outbreak on the populations at risk for these diseases, we developed computational models for disease transmission and infection progression. We estimated that a 50% reduction in access to healthcare services during the Ebola outbreak exacerbated malaria, HIV/AIDS, and tuberculosis mortality rates by additional death counts of 6,269 (2,564–12,407) in Guinea; 1,535 (522–2,8780) in Liberia; and 2,819 (844–4,844) in Sierra Leone. The 2014–2015 Ebola outbreak was catastrophic in these countries, and its indirect impact of increasing the mortality rates of other diseases was also substantial.

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Faster Detection of Poliomyelitis Outbreaks to Support Polio Eradication
I. M. Blake et al.
Abstract
As the global eradication of poliomyelitis approaches the final stages, prompt detection of new outbreaks is critical to enable a fast and effective outbreak response. Surveillance relies on reporting of acute flaccid paralysis (AFP) cases and laboratory confirmation through isolation of poliovirus from stool. However, delayed sample collection and testing can delay outbreak detection. We investigated whether weekly testing for clusters of AFP by location and time, using the Kulldorff scan statistic, could provide an early warning for outbreaks in 20 countries. A mixed-effects regression model was used to predict background rates of nonpolio AFP at the district level. In Tajikistan and Congo, testing for AFP clusters would have resulted in an outbreak warning 39 and 11 days, respectively, before official confirmation of large outbreaks. This method has relatively high specificity and could be integrated into the current polio information system to support rapid outbreak response activities.