ANALISIS SPASIAL KEJADIAN PENYAKIT TUBERKULOSIS PARU BERHUBUNGAN DENGAN FAKTOR RISIKO KONDISI RUMAH DAN LINGKUNGAN DI KOTA PALEMBANG
Background: Program control tuberculosis (TB) expects to find 70% of the estimated presence of new acid-resistant patients positive and then cure 85% of these patients and maintain it. Thus the expected prevalence rates and deaths from tuberculosis will decline by 50% in 2015 compared to 1990. That...
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| Main Authors: | , |
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| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2012
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/97447/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=54404 |
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| Institution: | Universitas Gadjah Mada |
| Summary: | Background: Program control tuberculosis (TB) expects to find 70% of the
estimated presence of new acid-resistant patients positive and then cure 85% of
these patients and maintain it. Thus the expected prevalence rates and deaths
from tuberculosis will decline by 50% in 2015 compared to 1990. That means the
achievement of Millennium Development Goals (MDG's). Palembang City Health
Office in its report says the percentage of healthy housing conditions in the city of
Palembang as much as 76.62% of the 207,618 homes inspected. Total number
of houses as many as 257,130 homes.
Methods: This study uses a case-control method. Cases are smear positive TB
patients registered in the TB form 03 Palembang. Controls are the people who do
not suffer from tuberculosis who visited the health center. Number of samples:
346 respondents, consisting of 173 cases and 173 controls. Research using
several tools, namely: observation sheet (form), questionnaires and GPS. Data
analysis techniques using three approaches, namely the individual analysis,
spatial analysis by looking at the spread of tuberculosis and its relation to
population density and the density of homes, the third, is a descriptive analysis of
the level of ease of implementation units health coverage and the proximity of
houses to a river.
Results: Variables associated with smear positive pulmonary tuberculosis are
variable density residential, room temperature, lighting, humidity and 10 μ
particullat matter (PM 10). The analysis showed the density of occupancy,
lighting and PM 10 are statistically significant (p <0.05). The most powerful
variable is the density residential with a value of .000 sig, Exp β = 2,603,95%
confidence interval = 1,585-4,072. Spatial analysis indicate the presence of 1
(one) most Likely clusters, namely at the point of case 2 58 05.5 latitude and 104
47'43 .6 "BT, as far as a radius of 492.37 meters. The relationship between
population density per km2 overlay showed no meaningful relationship. Density
houses in the area showed a significant association with the number of smearpositive
pulmonary TB cases (coefficient 0.0003 |
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