COMMUTING MOBILITY AS RISK FACTOR OF DENGUE HEMORRHAGIC FEVER IN GAMPING AND GODEAN, SLEMAN, YOGYAKARTA, INDONESIA
Tri Wulandari Kesetyaningsih1,2, Siti Fajrini Amir3, Yeni Rahma Resty3,Sri Andarini4 Sudarto5 and Henny Pramoedyo6
1
Department of Parasitology, Faculty of Medicine and Health Science, Muhammadiyah University Yogyakarta, Indonesia
2
Doctoral Program of Environmental Science, Posgraduate Program University of Brawijaya, Malang, Indonesia
3
Medical Education Study Program, Faculty of Medicine and Health Science, Muhammadiyah University Yogyakarta, Indonesia
4
Department of Public Health, Faculty of Medicine, Brawijaya University, Malang, Indonesia
5
Department of Soil Science, Faculty of Agriculture Brawijaya University, Malang, Indonesia
6
Department of Statistics, Faculty of Mathematics and Natural Science, Brawijaya University, Malang, Indonesia kesetyaningsih@yahoo.com
ABSTRACT
In Indonesia, since 1998 there is a change of dengue hemorrhagic fever (DHF) patient age groups from children to adults. This raises the suspicion that infection occurs not only in the residential home but from somewhere else so that there is a possibility of population mobility role. This study aims to reveal the relationship between the population mobility and the incidence of dengue through case control study. Commuting mobility represented by the place of work or school, while residential mobility represented by traveling outside the province of Yogyakarta. The study involved 276 respondents, 138 respondents were sufferers and 138 respondents others were non-sufferers (control) in the sub-district of Gamping and Godean, Sleman District, Yogyakarta by using purposive sampling. Data DHF patients over 2013 and their addresses obtained from Sleman District Health Office, while the controls were neighbors of patients with almost the same characteristics. Commuting mobility of data obtained from questionnaires, and then divided into three categories, namely low, moderate and high mobility commuting. Chi-square analysis is used to determine whether mobility is a risk factor for DHF. The analysis showed that the commuting mobility correlated with the incidence of DHF (p=0.001), where the high mobility of 3.169 times the risk of DHF (OR 3.169; 95% CI: 1.690 - 5.944) than the low mobility and not correlated with moderate mobility (p=0,821), while traveling outside the province of DIY reduce the risk by 6.175 times than not traveling (p=0.000; OR 6.175; 95% CI: 2.759 – 13.822). It can be concluded that the commuting mobility increases the risk of dengue infection, while travelling outside the province of DIY reduce the risk of dengue.
Introduction
In Indonesia, since 1998 there is a change of dengue hemorrhagic fever (DHF) patient
age groups from children to adults (Karyanti & Hadinegoro, 2009). This raises the suspicion that
infection occurs not only in the residential home but from somewhere else so that there is a
possibility of population mobility role. One possible factor that plays a role in the incidence of
dengue is the commuting mobility considering the area closest to the Sleman district is higher
endemic areas and is a destination for work or school (Luther, 2011), namely Yogyakarta
municipality. Commuting mobility offender has a chance to obtain infection from near endemic
areas is higher, while residential mobility will represent a factor of dengue infection were
obtained from outside Yogyakarta special region.
This study aims to reveal the relationship
between the population mobility and the incidence of dengue.
Results
Discussion
Conclusion
It can be concluded that commuting mobility increases the risk of dengue infection, while
traveling outside Yogyakarta special region reduce the risk of dengue.
References
MOH RI. 2009. Database Kesehatan Per Kabupaten. Available on January, 20
th2012 at
http://www.bankdata.depkes.go.id/propinsi/public/report/createtablepti
.
Karyanti, M.R. and Hadinegoro, S.R. 2009. Perubahan Epidemiologi Demam Berdarah Dengue
di Indonesia. Sari Pediatri, 2009 April;10(6):424-432
Luther, S. 2011. Territorial Mobility: methods for measurement using the example of the labour
market observatory of South Tyrol. Pp. 216. DOI: 10.1688/9783866187573. ISBN
987-3-86618-757-3 (e-book). Munchen Mering. D-86415 Mering, German.
Mantra, I.B. 2000.
Demografi Umum.
Pustaka Pelajar. Yogyakarta.
Praja, WP . 2013. Analisis Pola Penyebaran Spasial Penyakit Demam Berdarah Dengue (Studi
Kasus: Kejadian Penyakit Demam Berdarah Dengue di Kota Bogor Tahun 2007-2011).
Permanent mobility Sircular mobility
Commuting mobility Residential mobility
Work and school
(Luther, 2011) Traveling outside Yogyakarta SR
Sleman
(Province level) Yes, in Japan
(Kutsuna et al, 2015)
43.68%