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      <dc:title>Cholera forecast for Dhaka, Bangladesh, with the 2015-2016 El&#xd;
                Nino: Lessons learned</dc:title>
      <dc:creator>Martinez, Pamela P.</dc:creator>
      <dc:creator>Reiner Jr., Robert C.</dc:creator>
      <dc:creator>Cash, Benjamin A.</dc:creator>
      <dc:creator>Rodó López, Xavier</dc:creator>
      <dc:creator>Shahjahan Mondal, Mohammad</dc:creator>
      <dc:creator>Roy, Manojit</dc:creator>
      <dc:creator>Yunus, Mohammad</dc:creator>
      <dc:creator>Faruque, Abu S. G.</dc:creator>
      <dc:creator>Huq, Sayeeda</dc:creator>
      <dc:creator>King, Aaron A.</dc:creator>
      <dc:creator>Pascual, Mercedes</dc:creator>
      <dc:subject>Còlera</dc:subject>
      <dc:subject>Bangla Desh</dc:subject>
      <dc:subject>Cholera</dc:subject>
      <dc:subject>Bangladesh</dc:subject>
      <dc:description>A substantial body of work supports a teleconnection between the&#xd;
                El Nino-Southern Oscillation (ENSO) and cholera incidence in&#xd;
                Bangladesh. In particular, high positive anomalies during the&#xd;
                winter (Dec-Feb) in sea surface temperatures (SST) in the&#xd;
                tropical Pacific have been shown to exacerbate the seasonal&#xd;
                outbreak of cholera following the monsoons from August to&#xd;
                November. Climate studies have indicated a role of regional&#xd;
                precipitation over Bangladesh in mediating this long-distance&#xd;
                effect. Motivated by this previous evidence, we took advantage&#xd;
                of the strong 2015-2016 El Nino event to evaluate the&#xd;
                predictability of cholera dynamics for the city in recent times&#xd;
                based on two transmission models that incorporate SST anomalies&#xd;
                and are fitted to the earlier surveillance records starting in&#xd;
                1995. We implemented a mechanistic temporal model that&#xd;
                incorporates both epidemiological processes and the effect of&#xd;
                ENSO, as well as a previously published statistical model that&#xd;
                resolves space at the level of districts (thanas). Prediction&#xd;
                accuracy was evaluated with "out-of-fit" data from the same&#xd;
                surveillance efforts (post 2008 and 2010 for the two models&#xd;
                respectively), by comparing the total number of cholera cases&#xd;
                observed for the season to those predicted by model simulations&#xd;
                eight to twelve months ahead, starting in January each year.&#xd;
                Although forecasts were accurate for the low cholera risk&#xd;
                observed for the years preceding the 2015-2016 El Nino, the&#xd;
                models also predicted a high probability of observing a large&#xd;
                outbreak in fall 2016. Observed cholera cases up to Oct 2016 did&#xd;
                not show evidence of an anomalous season. We discuss these&#xd;
                predictions in the context of regional and local climate&#xd;
                conditions, which show that despite positive regional rainfall&#xd;
                anomalies, rainfall and inundation in Dhaka remained low.&#xd;
                Possible explanations for these patterns are given together with&#xd;
                future implications for cholera dynamics and directions to&#xd;
                improve their prediction for the city.</dc:description>
      <dc:date>2017-03-28T10:51:14Z</dc:date>
      <dc:date>2017-03-28T10:51:14Z</dc:date>
      <dc:date>2017-03-02</dc:date>
      <dc:date>2017-03-08T19:01:36Z</dc:date>
      <dc:type>info:eu-repo/semantics/article</dc:type>
      <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
      <dc:relation>Reproducció del document publicat a:&#xd;
                http://dx.doi.org/10.1371/journal.pone.0172355</dc:relation>
      <dc:relation>PLoS One, 2017, vol. 12, num. 3, p. e0172355</dc:relation>
      <dc:relation>http://dx.doi.org/10.1371/journal.pone.0172355</dc:relation>
      <dc:rights>cc by (c) Martinez et al., 2017</dc:rights>
      <dc:rights>http://creativecommons.org/licenses/by/3.0/es/</dc:rights>
      <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
      <dc:publisher>Public Library of Science (PLoS)</dc:publisher>
      <dc:source>Articles publicats en revistes (ISGlobal)</dc:source>
   </ow:Publication>
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