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Estimates of possible severe bacterial infection in neonates in sub-Saharan Africa, south Asia, and Latin America for 2012: a systematic review and meta-analysis 

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Presentation on theme: "Estimates of possible severe bacterial infection in neonates in sub-Saharan Africa, south Asia, and Latin America for 2012: a systematic review and meta-analysis "— Presentation transcript:

1 Estimates of possible severe bacterial infection in neonates in sub-Saharan Africa, south Asia, and Latin America for 2012: a systematic review and meta-analysis  Dr Anna C Seale, MRCPCH, Hannah Blencowe, MRCPCH, Alexander A Manu, PhD, Harish Nair, PhD, Rajiv Bahl, PhD, Shamim A Qazi, MD, Anita K Zaidi, MD, James A Berkley, FRCPCH, Prof Simon N Cousens, DipMathStat, Prof Joy E Lawn, FRCPCH  The Lancet Infectious Diseases  Volume 14, Issue 8, Pages (August 2014) DOI: /S (14) Copyright © 2014 Seale et al. Open Access article distributed under the terms of CC BY Terms and Conditions

2 Figure 1 Possible severe bacterial infection (pSBI) and overlap with other clinical syndromes The Lancet Infectious Diseases  , DOI: ( /S (14) ) Copyright © 2014 Seale et al. Open Access article distributed under the terms of CC BY Terms and Conditions

3 Figure 2 Data search and extraction30
The Lancet Infectious Diseases  , DOI: ( /S (14) ) Copyright © 2014 Seale et al. Open Access article distributed under the terms of CC BY Terms and Conditions

4 Figure 3 Geographical distribution of the 22 included studies
The number of studies per country is shown in parentheses after country name. The Lancet Infectious Diseases  , DOI: ( /S (14) ) Copyright © 2014 Seale et al. Open Access article distributed under the terms of CC BY Terms and Conditions

5 Figure 4 Meta-analysis for possible severe bacterial infection incidence, by region *As per random effects analysis. The Lancet Infectious Diseases  , DOI: ( /S (14) ) Copyright © 2014 Seale et al. Open Access article distributed under the terms of CC BY Terms and Conditions

6 Figure 5 Scatter plot of risk of possible severe bacterial infection and case fatality risk, indicating method of case identification Outliers with a high case-fatality risk are labelled. The Lancet Infectious Diseases  , DOI: ( /S (14) ) Copyright © 2014 Seale et al. Open Access article distributed under the terms of CC BY Terms and Conditions


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