Title |
Tuberculosis in the aftermath of the 2010 earthquake in Haiti
|
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Published in |
Bulletin of the World Health Organization, May 2015
|
DOI | 10.2471/blt.14.145649 |
Pubmed ID | |
Authors |
Serena P Koenig, Vanessa Rouzier, Stalz Charles Vilbrun, Willy Morose, Sean E Collins, Patrice Joseph, Diessy Decome, Oksana Ocheretina, Stanislas Galbaud, Lauren Hashiguchi, Julma Pierrot, Jean William Pape |
Abstract |
In 2010, Haiti sustained a devastating earthquake that crippled the health-care infrastructure in the capital city, Port-au-Prince, and left 1.5 million people homeless. Subsequently, there was an increase in reported tuberculosis in the affected population. We conducted active tuberculosis case finding in a camp for internally displaced persons and a nearby slum. Community health workers screened for tuberculosis at the household level. People with persistent cough were referred to a physician. The National Tuberculosis Program continued its national tuberculosis reporting system. Even before the earthquake, Haiti had the highest tuberculosis incidence in the Americas. About half of the tuberculosis cases occur in the Port-au-Prince region. The number of reported tuberculosis cases in Haiti has increased after the earthquake, but data are too limited to determine if this is due to an increase in tuberculosis burden or to improved case detection. Compared to previous national estimates (230 per 100 000 population), undiagnosed tuberculosis was threefold higher in a camp for internally displaced persons (693 per 100 000) and fivefold higher in an urban slum (1165 per 100 000). With funding from the World Health Organization (WHO), active case finding is now being done systematically in slums and camps. Household-level screening for prolonged cough was effective in identifying patients with active tuberculosis in this study. Without accurate data, early detection of rising tuberculosis rates is challenging; data collection should be incorporated into pragmatic disease response programmes. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 29% |
Chile | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 7 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 110 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 28 | 25% |
Researcher | 17 | 15% |
Student > Bachelor | 17 | 15% |
Student > Doctoral Student | 8 | 7% |
Other | 6 | 5% |
Other | 15 | 14% |
Unknown | 19 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 29 | 26% |
Nursing and Health Professions | 21 | 19% |
Social Sciences | 10 | 9% |
Agricultural and Biological Sciences | 5 | 5% |
Biochemistry, Genetics and Molecular Biology | 3 | 3% |
Other | 17 | 15% |
Unknown | 25 | 23% |