Elimination or more accurate estimation? Investigation of trends in malaria diagnoses in the Ouest Department of Haiti from 2008 to 2017.

<h4>Background</h4>According to the 2016 World Malaria Report, the malaria incidence in Haiti declined by > 40% between 2010 and 2015. Though elimination efforts have likely contributed, this time period also corresponded to a national change in diagnostic methods.<h4>Methods<...

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Main Authors: Thomas A Weppelmann, Caroline J Stephenson, Elisha Musih, John B Dame, Marie Y Remy, Robert Nicolas, Michael E von Fricken
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:https://storage.googleapis.com/plos-corpus-prod/10.1371/journal.pone.0198070/1/pone.0198070.pdf?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=wombat-sa%40plos-prod.iam.gserviceaccount.com%2F20210222%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20210222T025301Z&X-Goog-Expires=3600&X-Goog-SignedHeaders=host&X-Goog-Signature=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author Thomas A Weppelmann
Caroline J Stephenson
Elisha Musih
John B Dame
Marie Y Remy
Robert Nicolas
Michael E von Fricken
author_facet Thomas A Weppelmann
Caroline J Stephenson
Elisha Musih
John B Dame
Marie Y Remy
Robert Nicolas
Michael E von Fricken
author_sort Thomas A Weppelmann
collection DOAJ
description <h4>Background</h4>According to the 2016 World Malaria Report, the malaria incidence in Haiti declined by > 40% between 2010 and 2015. Though elimination efforts have likely contributed, this time period also corresponded to a national change in diagnostic methods.<h4>Methods</h4>Monthly reports of aggregated patient data were acquired from five clinics in the Ouest Department of Haiti. Generalized linear models were used to compare the number of febrile patients tested, the number of positive tests, and the proportion of tests that were positive (TRP) before and after the national adoption of rapid diagnostic tests (RDTs).<h4>Results</h4>Prior to the earthquake when microcopy was used for diagnosis, a total of 1,727 patients with 557 (32.3%) positive; post-earthquake testing was reduced and the TPR was variable; during the post recovery period when RDTs were used exclusivly, a total of 5,132 patients were tested using RDTs, only 83 (1.62%) were positive. Compared to the pre-earthquake period, there was a 69% increase in the number of patients tested (IRR: 1.69; 95% CI IRR 1.59, 2.79), and a 97.0% decrease in the proportion of patients with a positive test result (IRR: 0.03; 95% CI IRR 0.02, 0.04) in the post-recovery period.<h4>Conclusions</h4>While the decline in malaria indicators between 2010 and 2015 has been cited as evidence of progress towards elimination, these reports derived estimates of the malaria burden in Haiti using two different diagnostic tests. Thus, comparison of these periods in the context of malaria elimination should be made with caution.
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spelling doaj-art-5ca7bb1bb12d4b2b9e2843bf07bea80e2025-08-20T02:46:02ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01136e019807010.1371/journal.pone.0198070Elimination or more accurate estimation? Investigation of trends in malaria diagnoses in the Ouest Department of Haiti from 2008 to 2017.Thomas A WeppelmannCaroline J StephensonElisha MusihJohn B DameMarie Y RemyRobert NicolasMichael E von Fricken<h4>Background</h4>According to the 2016 World Malaria Report, the malaria incidence in Haiti declined by > 40% between 2010 and 2015. Though elimination efforts have likely contributed, this time period also corresponded to a national change in diagnostic methods.<h4>Methods</h4>Monthly reports of aggregated patient data were acquired from five clinics in the Ouest Department of Haiti. Generalized linear models were used to compare the number of febrile patients tested, the number of positive tests, and the proportion of tests that were positive (TRP) before and after the national adoption of rapid diagnostic tests (RDTs).<h4>Results</h4>Prior to the earthquake when microcopy was used for diagnosis, a total of 1,727 patients with 557 (32.3%) positive; post-earthquake testing was reduced and the TPR was variable; during the post recovery period when RDTs were used exclusivly, a total of 5,132 patients were tested using RDTs, only 83 (1.62%) were positive. Compared to the pre-earthquake period, there was a 69% increase in the number of patients tested (IRR: 1.69; 95% CI IRR 1.59, 2.79), and a 97.0% decrease in the proportion of patients with a positive test result (IRR: 0.03; 95% CI IRR 0.02, 0.04) in the post-recovery period.<h4>Conclusions</h4>While the decline in malaria indicators between 2010 and 2015 has been cited as evidence of progress towards elimination, these reports derived estimates of the malaria burden in Haiti using two different diagnostic tests. Thus, comparison of these periods in the context of malaria elimination should be made with caution.https://storage.googleapis.com/plos-corpus-prod/10.1371/journal.pone.0198070/1/pone.0198070.pdf?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=wombat-sa%40plos-prod.iam.gserviceaccount.com%2F20210222%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20210222T025301Z&X-Goog-Expires=3600&X-Goog-SignedHeaders=host&X-Goog-Signature=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
spellingShingle Thomas A Weppelmann
Caroline J Stephenson
Elisha Musih
John B Dame
Marie Y Remy
Robert Nicolas
Michael E von Fricken
Elimination or more accurate estimation? Investigation of trends in malaria diagnoses in the Ouest Department of Haiti from 2008 to 2017.
PLoS ONE
title Elimination or more accurate estimation? Investigation of trends in malaria diagnoses in the Ouest Department of Haiti from 2008 to 2017.
title_full Elimination or more accurate estimation? Investigation of trends in malaria diagnoses in the Ouest Department of Haiti from 2008 to 2017.
title_fullStr Elimination or more accurate estimation? Investigation of trends in malaria diagnoses in the Ouest Department of Haiti from 2008 to 2017.
title_full_unstemmed Elimination or more accurate estimation? Investigation of trends in malaria diagnoses in the Ouest Department of Haiti from 2008 to 2017.
title_short Elimination or more accurate estimation? Investigation of trends in malaria diagnoses in the Ouest Department of Haiti from 2008 to 2017.
title_sort elimination or more accurate estimation investigation of trends in malaria diagnoses in the ouest department of haiti from 2008 to 2017
url https://storage.googleapis.com/plos-corpus-prod/10.1371/journal.pone.0198070/1/pone.0198070.pdf?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=wombat-sa%40plos-prod.iam.gserviceaccount.com%2F20210222%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20210222T025301Z&X-Goog-Expires=3600&X-Goog-SignedHeaders=host&X-Goog-Signature=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