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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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 731-741 (August 2014) DOI: 10.1016/S1473-3099(14)70804-7 Copyright © 2014 Seale et al. Open Access article distributed under the terms of CC BY Terms and Conditions

Figure 1 Possible severe bacterial infection (pSBI) and overlap with other clinical syndromes The Lancet Infectious Diseases 2014 14, 731-741DOI: (10.1016/S1473-3099(14)70804-7) Copyright © 2014 Seale et al. Open Access article distributed under the terms of CC BY Terms and Conditions

Figure 2 Data search and extraction30 The Lancet Infectious Diseases 2014 14, 731-741DOI: (10.1016/S1473-3099(14)70804-7) Copyright © 2014 Seale et al. Open Access article distributed under the terms of CC BY Terms and Conditions

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 2014 14, 731-741DOI: (10.1016/S1473-3099(14)70804-7) Copyright © 2014 Seale et al. Open Access article distributed under the terms of CC BY Terms and Conditions

Figure 4 Meta-analysis for possible severe bacterial infection incidence, by region *As per random effects analysis. The Lancet Infectious Diseases 2014 14, 731-741DOI: (10.1016/S1473-3099(14)70804-7) Copyright © 2014 Seale et al. Open Access article distributed under the terms of CC BY Terms and Conditions

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 2014 14, 731-741DOI: (10.1016/S1473-3099(14)70804-7) Copyright © 2014 Seale et al. Open Access article distributed under the terms of CC BY Terms and Conditions