@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix bibo: <http://purl.org/ontology/bibo/> .
@prefix dbpprop: <http://dbpedia.org/property/> .
@prefix gcis: <http://data.globalchange.gov/gcis.owl#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix fabio: <http://purl.org/spar/fabio/> .
@prefix cito: <http://purl.org/spar/cito/> .
@prefix biro: <http://purl.org/spar/biro/> .

<http://52.38.26.42:8080/article/10.1289/ehp.1002302>   
   dcterms:identifier "10.1289/ehp.1002302";
   dcterms:title "The Indian Ocean dipole and cholera incidence in Bangladesh: A time-series analysis"^^xsd:string;
   dcterms:isPartOf <http://52.38.26.42:8080/journal/environmental-health-perspectives>;
   bibo:volume "119";
   bibo:pages "239-244";
   dbpprop:pubYear "2011"^^xsd:gYear;
   dcterms:description "Background: It has been reported that the El Nino-Southern Oscillation (ENSO) influences the interannual variation of endemic cholera in Bangladesh. There is increased interest in the influence of the Indian Ocean dipole (IOD), a climate mode of coupled ocean-atmosphere variability, on regional ocean climate in the Bay of Bengal and on Indian monsoon rainfall.      Objectives: We explored the relationship between the IOD and the number of cholera patients in Bangladesh, controlling for the effects of ENSO.      Methods: Time-series regression was performed. Negative binomial models were used to estimate associations between the monthly number of hospital visits for cholera in Dhaka and Matlab (1993-2007) and the dipole mode index (DMI) controlling for ENSO index [NINO3, a measure of the average sea surface temperature (SST) in the Nino 3 region], seasonal, and interannual variations. Associations between cholera cases and SST and sea surface height (SSH) of the northern Bay of Bengal were also examined.      Results: A 0.1-unit increase in average DMI during the current month through 3 months before was associated with an increase in cholera incidence of 2.6% [(95% confidence interval (CI), 0.0-5.2; p = 0.05] in Dhaka and 6.9% (95% CI, 3.2-10.8; p < 0.01) in Matlab. Cholera incidence in Dhaka increased by 2.4% (95% CI, 0.0-5.0; p = 0.06) after a 0.1-unit decrease in DMI 4-7 months before. Hospital visits for cholera in both areas were positively associated with SST 0-3 months before, after adjusting for SSH (p < 0.01).      Conclusions: These findings suggest that both negative and positive dipole events are associated with an increased incidence of cholera in Bangladesh with varying time lags. "^^xsd:string;
   bibo:doi "10.1289/ehp.1002302";

   a gcis:AcademicArticle, fabio:Article .

## Contributors:


## This article is cited by the following entities in GCIS:

<http://52.38.26.42:8080/article/10.1289/ehp.1002302>
   cito:isCitedBy <http://52.38.26.42:8080/report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses>;
   biro:isReferencedBy <http://52.38.26.42:8080/reference/646b4f16-bf9b-4ddf-911b-9fa7efaac098>.

<http://52.38.26.42:8080/article/10.1289/ehp.1002302>
   cito:isCitedBy <http://52.38.26.42:8080/report/usgcrp-climate-human-health-assessment-2016>;
   biro:isReferencedBy <http://52.38.26.42:8080/reference/646b4f16-bf9b-4ddf-911b-9fa7efaac098>.