Announcement
Starting on July 4, 2018 the Indonesian Publication Index (IPI) has been acquired by the Ministry of Research Technology and Higher Education (RISTEKDIKTI) called GARUDA Garba Rujukan Digital (http://garuda.ristekdikti.go.id)
For further information email to portalgaruda@gmail.com

Thank you
Logo IPI  
Journal > Jurnal Ekologi Kesehatan > PENYUSUNAN METODE PENENTUAN INDEKS KERAWANAN WILAYAH DAN PEMETAAN WILAYAH RENTAN PENYAKIT DEMAM BERDARAH DI INDONESIA

 

Full Text PDF (668 kb)
Jurnal Ekologi Kesehatan
Vol 8, No 4 Des (2009)
PENYUSUNAN METODE PENENTUAN INDEKS KERAWANAN WILAYAH DAN PEMETAAN WILAYAH RENTAN PENYAKIT DEMAM BERDARAH DI INDONESIA
Hidayati, Rini ( Departemen Geofisika dan Meteorologi FMIPA IPB)
Boer, Rizaldi ( Laboratorium Klimatologi Departemen Geofisika dan Meteorologi FMIPA IPB)
Koesmaryono, Yonny ( Laboratorium Agrometeorologi Departemen Geomet FMIPA IPB)
Kesumawati, Upik ( Lab Entomologi Kesehatan Veteriner FKH, IPB)
Manuwoto, Sjafrida ( Lab Entomologi Departemen Proteksi Tanaman Faperta IPB)
Article Info   ABSTRACT
Published date:
15 Nov 2012
 
This research was aimed to develop method for determining regional vulnerability index of dengue fever disease and its zone in Indonesia particularly for regional district. The vulnerability index (IK) was developed by combining data on intensity, time series recorded data on the incidences for 3 years consecutively (m), and frequency of dengues incidences, light (Fr), medium (Fs) and heavy (Fb) incidence. Analysis on distribution of monthly IR showed that the IRs values at probability of 25%, 75%, and 99% are 0.4, 2.8 and 30.1, respectively, where in monthly scale, the light incidence is within a range of 0<IR<0.4, the medium is of 0.4<IR<2.8; and the heavy is of IR>2.8. The slope coefficients of Fr, Fs, and Fb for calculating the IK was determined by averaging the IRs values for the each incidence. The values of IK were mapped to develop the map of regional vulnerability index or called as Regional Vulnerability Index Zone. The map showed that the most vulnerable region covered big cities particularly those which lie on Java Island and clustered into cluster 3 and 2. Pattern and value of the monthly vulnerability index differ significantly for each cluster. Key Word: Dengue fever diseases, vulnerability index, vulnerability map
Copyrights © 2012