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Indonesian Journal of Tropical and Infectious Disease

IJTID
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Published by Universitas Airlangga

ISSN : 20851103 EISSN : 23560991 DOI : -

Core Subject : Health, Science,

Earth & Planetary Sciences Health Professions Medicine & Pharmacology Public Health

This journal is a peer-reviewed journal established to promote the recognition of emerging and reemerging diseases specifically in Indonesia, South East Asia, other tropical countries and around the world, and to improve the understanding of factors involved in disease emergence, prevention, and elimination. The journal is intended for scientists, clinicians, and professionals in infectious diseases and related sciences. We welcome contributions from infectious disease specialists in academia, industry, clinical practice, public health, and pharmacy, as well as from specialists in economics, social sciences and other disciplines.

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Articles 5 Documents

Search results for , issue "Vol. 5 No. 2 (2014)" : 5 Documents clear

ROLE OF BREAK CLUSTER REGION (BCR) - ABELSON MURINE LEUKIMIA (ABL) EXAMINATION IN CHRONIC MYELOGENOUS LEUKEMIA (CML) Agung Sosiawan
Indonesian Journal of Tropical and Infectious Disease Vol. 5 No. 2 (2014)
Publisher : Institute of Topical Disease Universitas Airlangga

Chronic myelogenous leukemia (CML) is a clonal bone marrow stem cell disorder associated with a characteristic chromosomal translocation called the Philadelphia chromosome which caused a proliferation of mature granulocytes (neutrophils, eosinophils and basophils) and their precursors, increasing unregulated growth of predominantly myeloid cells in the bone marrow and its accumulation in the blood. As myeloproliferative disease, Chronic Myelogenous Leukemia or CML is a malignancy of the sixth-highest, reaching 15% of all blood malignancies in adults with an incidence of 1.1 per 100,000 population (Ugroseno, 2012). The CML diagnosis is made based on a presence of Philadelphia chromosome due to the existence of a reciprocal translocation of chromosomes 9 and chromosome 22 t (9.22), and raises the fusion of Break Cluster Region (BCR) gene of chromosome 22 on band q11 by Abelson Murine Leukemia (ABL). The fused BCR-ABL gene has BCR sequences of different length, so it produces a protein that has a different molecular weight. Despite having different length of BCR sequences, however, the length of fuses ABL gene sequence is constant. Associated with this different BCR sequence length are the three variations of the BCR-ABL gene fusion. The first variation is a Major Break Cluster (M-BCR), the BCR gene break is found in exon 2 in e13-E14 region. This type of CML is the fusion of BCR exon b2 or b3 to ABL exon a2, forming two major transcripts of the b2a2 or b3a2, which has a protein product with 210 kD weight or referred to as p210. The second variation is Minor BCR (m-BCR), which has e1a2 fusion. CML with BCR-ABL gene fusion of this type has a protein product with a molecular weight of 190 kDa or called p190. The third variation is micro-BCR (m-BCR), with BCR gene break between exons E19 and e20b that form mRNA transcripts e19a2, with BCR-ABL protein P230. This fused gene can be detected with qualitative multiplex PCR.

PREDICTION OF DENGUE FEVER EPIDEMIC SPREADING USING DYNAMICS TRANSMISSION VECTOR MODEL Retno Widyaningrum; Srigunani Partiwi; Arief Rahman; Adithya Sudiarno
Indonesian Journal of Tropical and Infectious Disease Vol. 5 No. 2 (2014)
Publisher : Institute of Topical Disease Universitas Airlangga

Increasing number of dengue cases in Surabaya shows that its city has high potential of dengue fever epidemic. Although some policies were designed by Surabaya Health Department, such as fogging and mosquito’s nest eradication, but these efforts still out of target because of inaccurate predictions. Ineffectiveness eradication of dengue fever epidemic is caused by lack of information and knowledge on environmental conditions in Surabaya. Developing spread and prediction system to minimize dengue fever epidemic is necessary to be conducted immediately. Spread and prediction system can improve eradication and prevention accuracy. The transmission dynamics vector simulation will be used as an approach to draw a complex system of mosquito life cycle in which involve a lot of factors. Dynamics transmission model used to build model in mosquito model (oviposition rate and pre adult mosquito), infected and death cases in dengue fever. The model of mosquito and infected population can represent system. The output of this research is website of spread and prediction system of dengue fever epidemics to predict growth rate of Aedes Aegypti mosquito, infected, and death population because of dengue fever epidemics. The deviation of infected population is 0,519. The model of death cases in dengue fever is less precision with the deviation 1,229. Death cases model need improvement by adding some variables that influence to dengue fever death cases. Spread of dengue fever prediction will help the government, health department to decide the best policies in minimizing the spread of dengue fever epidemics.

MANAGEMENT OF HIV/AIDS INFECTION IN PREGNANCY Endah Dewati; Nasronudin Nasronudin
Indonesian Journal of Tropical and Infectious Disease Vol. 5 No. 2 (2014)
Publisher : Institute of Topical Disease Universitas Airlangga

Twenty years since identified for the first time, the disease of HIV/AIDS spread and cause greater damage than the previous prediction. According to the Director General of P2M and Environmental Sanitation Department of Health by the end of 1999, there were 1066 people in Indonesia who are infected with HIV even though this must be realized that the rate is still far lower than the actual numbers, because there are many cases of HIV infection reported in addition to energy awareness health of the possibility of HIV infection has not been evenly distributed. Management of HIV infection/AIDS in pregnancy is done in time of antepartum, intrapartum and post partum, for mother and the baby, in general and specific. The important matters include the use of ART, nutrition and psychological support. Prevention and management of opportunistic infections to PWHA are not different with that of non pregnant woman. However, it is not routinely advised because of drug toxicity.

COLOSTRUM-COLLAGEN-HYDROXYAPATITE COMPOSITE, AN EXCELLENT CANDIDATE BIOMATERIAL FOR BONE REPAIR AND BONE INFECTION MANAGEMENT Dio Nurdin Setiawan; Mirzaq Hussein Anwar; Kholifatul Wanda Putri; Nilna Faizah Fiddarain; Prihartini Widiyanti; Heri Purnobasuki
Indonesian Journal of Tropical and Infectious Disease Vol. 5 No. 2 (2014)
Publisher : Institute of Topical Disease Universitas Airlangga

In the case of bone fracture or defect after surgery, which is common in patients with bone cancer (osteosarcoma), it takes a long time for closure and it may cause an infection problem. The use of collagen-hydroxyapatite composite with a blend of colostrum as a scaffold is aimed to accelerate the process of osteoblast growth, inhibite the emergence of infections, and act as bone tissue repair material. The method used was the hydrogel formation process and freeze dry process to remove the solvent and to form pores. The composition of scaffold composite manufactured was 15% collagen, 75% hydroxyapatite and 10% colostrum. Combination of scaffold collagen-hydroxyapatite-colostrum has quite reliable properties because SEM test showed that scaffold could bind to both and could bind to both and could form sufficient pores to provide enough place for bone cells (osteoblats) to grow. The results of MTT assay revealed percentage of above 60%, which indicates that the material is not toxic. In conclusion, collagen-hydroxyapatite-colostrum combination is an excellent biomaterial candidate for bone repair and bone infection management.

HEART ABNORMALITY CLASSIFICATIONS USING FOURIER TRANSFORMS METHOD AND NEURAL NETWORKS Endah Purwanti; Amadea Kurnia Nastiti; Adri Supardi
Indonesian Journal of Tropical and Infectious Disease Vol. 5 No. 2 (2014)
Publisher : Institute of Topical Disease Universitas Airlangga

Health problems with cardiovascular system disorder are still ranked high globally. One way to detect abnormalities in the cardiovascular system especially in the heart is through the electrocardiogram (ECG) reading. However, reading ECG recording needs experience and expertise, software-based neural networks has designed to help identify any abnormalities of the heart through electrocardiogram digital image. This image is processed using image processing methods to obtain ordinate chart which representing the heart’s electrical potential. Feature extraction using Fourier transforms which are divided into several numbers of coefficients. As the software input, Fourier transforms coefficient have been normalized. Output of this software is divided into three classes, namely heart with atrial fibrillation, coronary heart disease and normal. Maximum accuracy rate of this software is 95.45%, with the distribution of the Fourier transform coefficients 1/8 and number of nodes 5, while minimum accuracy rate of this software at least 68.18% by distribution of the Fourier transform coefficients 1/32 and the number of nodes 32. Overall result accuracy rate of this software has an average of 86.05% and standard deviation of 7.82.

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