Wednesday, 1st of February 2012 |
Mohammad Ali, Anna Lena Lopez, Young Ae You, Young Eun Kim, Binod Sah, Brian Maskery & John Clemens
Bulletin of the World Health Organization
Full text is at http://www.who.int/bulletin/volumes/90/3/11-093427/en/index.html
Abstract
Objective
To estimate the global burden of cholera using population-based incidence data and reports.
Methods
Countries with a recent history of cholera were classified as endemic or non-endemic, depending on whether they had reported cholera cases in at least three of the five most recent years. The percentages of the population in each country that lacked access to improved sanitation were used to compute the populations at risk for cholera, and incidence rates from published studies were applied to groups of countries to estimate the annual number of cholera cases in endemic countries. The estimates of cholera cases in non-endemic countries were based on the average numbers of cases reported from 2000 to 2008. Literature-based estimates of cholera case-fatality rates (CFRs) were used to compute the variance-weighted average cholera CFRs for estimating the number of cholera deaths.
Findings
About 1.4 billion people are at risk for cholera in endemic countries. An estimated 2.8 million cholera cases occur annually in such countries (uncertainty range: 1.4–4.3) and an estimated 87 000 cholera cases occur in non-endemic countries. The incidence is estimated to be greatest in children less than 5 years of age. Every year about 91 000 people (uncertainty range: 28 000 to 142 000) die of cholera in endemic countries and 2500 people die of the disease in non-endemic countries.
Conclusion
The global burden of cholera, as determined through a systematic review with clearly stated assumptions, is high. The findings of this study provide a contemporary basis for planning public health interventions to control cholera.
Full text is at http://www.thelancet.com/journals/laninf/article/PIIS1473-3099(11)70313-9/fulltext#
The Lancet Infectious Diseases, Volume 12, Issue 3, Pages 222 - 230, March 2012
Published Online: 16 January 2012
Original Text
Dr Kamran Khan MD a b n , Scott JN McNabb PhD c, Prof Ziad A Memish MD d e n, Rose Eckhardt MA b, Wei Hu BSc b, David Kossowsky BA b, Jennifer Sears BSc b, Julien Arino PhD f, Anders Johansson PhD g h, Maurizio Barbeschi PhD i n, Brian McCloskey MD j n, Bonnie Henry MD k n, Martin Cetron MD l, John S Brownstein PhD m n
Summary
Infectious disease surveillance for mass gatherings (MGs) can be directed locally and globally; however, epidemic intelligence from these two levels is not well integrated. Modelling activities related to MGs have historically focused on crowd behaviours around MG focal points and their relation to the safety of attendees. The integration of developments in internet-based global infectious disease surveillance, transportation modelling of populations travelling to and from MGs, mobile phone technology for surveillance during MGs, metapopulation epidemic modelling, and crowd behaviour modelling is important for progress in MG health. Integration of surveillance across geographic frontiers and modelling across scientific specialties could produce the first real-time risk monitoring and assessment platform that could strengthen awareness of global infectious disease threats before, during, and immediately after MGs. An integrated platform of this kind could help identify infectious disease threats of international concern at the earliest stages possible; provide insights into which diseases are most likely to spread into the MG; help with anticipatory surveillance at the MG; enable mathematical modelling to predict the spread of infectious diseases to and from MGs; simulate the effect of public health interventions aimed at different local and global levels; serve as a foundation for scientific research and innovation in MG health; and strengthen engagement between the scientific community and stakeholders at local, national, and global levels.
Correspondence to: Dr Kamran Khan, St Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8 Canada
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