11
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The geography of measles vaccination in the African Great Lakes region

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Expanded access to measles vaccination was among the most successful public health interventions of recent decades. All WHO regions currently target measles elimination by 2020, yet continued measles circulation makes that goal seem elusive. Using Demographic and Health Surveys with generalized additive models, we quantify spatial patterns of measles vaccination in ten contiguous countries in the African Great Lakes region between 2009–2014. Seven countries have ‘coldspots' where vaccine coverage is below the WHO target of 80%. Over 14 million children under 5 years of age live in coldspots across the region, and a total of 8–12 million children are unvaccinated. Spatial patterns of vaccination do not map directly onto sub-national administrative units and transnational coldspots exist. Clustering of low vaccination areas may allow for pockets of susceptibility that sustain circulation despite high overall coverage. Targeting at-risk areas and transnational coordination are likely required to eliminate measles in the region.

          Abstract

          The WHO targets measles elimination by 2020, a goal that relies on high vaccination coverage. Here, Takahashi et al. identify ‘coldspots' in the African Great Lakes region where measles vaccine coverage is below 80%, suggesting that these regions should be targeted in future vaccination campaigns.

          Related collections

          Most cited references46

          • Record: found
          • Abstract: not found
          • Book: not found

          Generalized Additive Models

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Surveillance for severe acute respiratory infections (SARI) in hospitals in the WHO European region - an exploratory analysis of risk factors for a severe outcome in influenza-positive SARI cases

            Background The 2009 H1N1 pandemic highlighted the need to routinely monitor severe influenza, which lead to the establishment of sentinel hospital-based surveillance of severe acute respiratory infections (SARI) in several countries in Europe. The objective of this study is to describe characteristics of SARI patients and to explore risk factors for a severe outcome in influenza-positive SARI patients. Methods Data on hospitalised patients meeting a syndromic SARI case definition between 2009 and 2012 from nine countries in Eastern Europe (Albania, Armenia, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Romania, Russian Federation and Ukraine) were included in this study. An exploratory analysis was performed to assess the association between risk factors and a severe (ICU, fatal) outcome in influenza-positive SARI patients using a multivariate logistic regression analysis. Results Nine countries reported a total of 13,275 SARI patients. The majority of SARI patients reported in these countries were young children. A total of 12,673 SARI cases (95%) were tested for influenza virus and 3377 (27%) were laboratory confirmed. The majority of tested SARI cases were from Georgia, the Russian Federation and Ukraine and the least were from Kyrgyzstan. The proportion positive varied by country, season and age group, with a tendency to a higher proportion positive in the 15+ yrs age group in six of the countries. ICU admission and fatal outcome were most often recorded for influenza-positive SARI cases aged >15 yrs. An exploratory analysis using pooled data from influenza-positive SARI cases in three countries showed that age > 15 yrs, having lung, heart, kidney or liver disease, and being pregnant were independently associated with a fatal outcome. Conclusions Countries in Eastern Europe have been able to collect data through routine monitoring of severe influenza and results on risk factors for a severe outcome in influenza-positive SARI cases have identified several risk groups. This is especially relevant in the light of an overall low vaccination uptake and antiviral use in Eastern Europe, since information on risk factors will help in targeting and prioritising vulnerable populations. Electronic supplementary material The online version of this article (doi:10.1186/s12879-014-0722-x) contains supplementary material, which is available to authorized users.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              GAMs with integrated model selection using penalized regression splines and applications to environmental modelling

                Bookmark

                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group
                2041-1723
                25 May 2017
                2017
                : 8
                : 15585
                Affiliations
                [1 ]Department of Ecology and Evolutionary Biology, Princeton University , Princeton, New Jersey 08544, USA
                [2 ]Woodrow Wilson School of Public and International Affairs, Princeton University , Princeton, New Jersey 08544, USA
                [3 ]Center for Infectious Disease Dynamics, The Pennsylvania State University, State College , Pennsylvania 16802, USA
                [4 ]WorldPop, Department of Geography and Environment, University of Southampton , Southampton SO17 1BJ, UK
                [5 ]Flowminder Foundation , Stockholm SE-11355, Sweden
                [6 ]Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland 21205, USA
                Author notes
                Article
                ncomms15585
                10.1038/ncomms15585
                5458501
                28541287
                0f209352-3140-4321-b2e0-0a14ad8752b6
                Copyright © 2017, The Author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 21 September 2016
                : 07 April 2017
                Categories
                Article

                Uncategorized
                Uncategorized

                Comments

                Comment on this article