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conferenceseries
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Volume 5, Issue 7 (Suppl)
J Infect Dis Ther, an open access journal
ISSN: 2332-0877
Infection Prevention 2017
December 14-15, 2017
December 14-15, 2017 | Rome, Italy
13
th
World Congress on
INFECTION PREVENTION AND CONTROL
Incidence and preparedness for treatment of diarrhea in epidemic prone flood areas of Chiga Kisumu
county
Redemptah Yeda
Athens Regional General Hospital, Greece
Statement of the Problem:
Diarrhea is preventable and treatable by early recognition of dehydration, increased fluids,
breastfeeding and timely treatment. Despite the advances to understand management and pathogenesis, globally it’s estimated
that diarrhea accounts for 1.5 million deaths annually. 800,000 children die annually in sub-Saharan Africa. In Kenya, infectious
diseases are on the rise due to poverty, illiteracy, inadequate safe drinking water and poor sanitation Flood prone areas have
high incidence of diarrhea. However, there is no active surveillance to monitor the incidence and also understand the effect
of seasons on the incidence. No study has been carried out on the preparedness of the health facilities for the treatment of
diarrhea.
Purpose of this Study:
To investigate the incidence and preparedness for treatment of diarrhea in epidemic prone floods areas
in Kisumu County.
Methodology & Theoretical Orientation:
This was a retrospective study come across sectional study. A key informative
interview tool was used to collect data among community health workers and the hospital leads. A conceptual frame work was
used to focus on the interaction between incidence and mortality with relation to environment.
Findings:
Diarrhea is common among the adults compared to other age categories.
Conclusion & Significance:
Despite the challenges in controlling diarrhea, adults experience more cases. Over the last 20
years, diarrhea studies have mainly on the under five However, there is limited information on the epidemiology of diarrhea
among adults in sub-Saharan Africa.
Recommendations: Research is required to establish scientific models to predict diarrhea outbreaks.
redemptah.yeda@usamru-org
J Infect Dis Ther 2017, 5:7(Suppl)
DOI: 10.4172/2332-0877-C1-036