METODE SPATIAL DURBIN MODEL UNTUK ANALISIS DEMAM BERDARAH DENGUE  DI KABUPATEN BANTUL

Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by the dengue virus which is transmitted through the bite of the Aedes aegepty and Aedes albopictus mosquitoes which are widespread in homes and public places throughout the territory of Indonesia. The high number of DHF cases in Bantul Regency, Indonesia is an indication that eradication of Aedes aegepty mosquitoes and Aedes albopictus mosquitoes has not succeeded in the Bantul Regency. Spatial Regression is an analysis that evaluates the relationship between one variable with several other variables by providing spatial effects in several locations that are the center of observation. Three type of models are Spatial Autoregressive Model (SAR), Spatial Error Model (SEM), and Spatial Durbin Model (SDM). This study uses secondary data in 2017 in Bantul Regency, Special Region of Yogyakarta, Indonesia. The dependent variable is DHF cases and the independent variables are medical personnel and health facilities in each sub-district. The spatial model used is SDM. Based on Moran’s I test, there was a spatial autocorrelation about DHF among sub-district, so the spatial model can be used. The durbin spatial model gives the result that all estimation parameters in SDM model have P value less than α = 5%, so that medical personnel and health facilities significantly affect dengue cases in Bantul Regency. Keywords: dengue hemorrhagic fever, moran’s I test, spatial durbin model.

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Spatial Analysis of Dengue Hemorrhagic Fever based on Influencing Factors in Jombang, 2014–2018

Jurnal Berkala Epidemiologi ◽

10.20473/jbe.v9i12021.79-87 ◽

2021 ◽

Vol 9 (1) ◽

pp. 79

Author(s):

Retno Tri Hastuti ◽

Lucia Yovita Hendrati

Keyword(s):

Multivariate Analysis ◽

Population Density ◽

Dengue Hemorrhagic Fever ◽

Healthy Lifestyle ◽

Hemorrhagic Fever ◽

Moran’S I ◽

Bivariate Analysis ◽

Analysis Tool ◽

Moran's I ◽

Healthy Homes

Background: Jombang District is an endemic area of dengue hemorrhagic fever (DHF). Purpose: The aim of this study was to spatially analyze various factors simultaneously (multivariate analysis) in relation to the incidence of DHF in Jombang District during the period 2014–2018. The factors studied were population density, larvae free index, rainfall, coverage of healthy homes, and healthy lifestyle coverage. Methods: The research was conducted as an observational study with an ecology research design. The data were secondary data from the Health Office and Statistic Central Bureau of Jombang District. The population consisted of 21 sub-districts in Jombang District in 2014–2018. The sample used the total population. The data analysis tool used in this study was GeoDa regression Moran's I software. Results: The bivariate analysis showed that there was a correlation between larvae free index (p = 0.04), healthy lifestyle coverage (p = 0.02), rainfall intensity (p = 0.20), population density (p = 0.07), and coverage of healthy houses (p = 0.22) with DHF incidence. According to Moran's I for spatial dependence (multivariate analysis), showed that there was a correlation between all the variables and DHF (p = 0.03). Conclusions: The variables of larvae free index and healthy lifestyle coverage related to the Incidence Rate (IR) of DHF cases. There was no correlation between IR and variable population density, rainfall, or coverage of healthy homes. Various spatial factors are simultaneously related to IR, even though only two variables are shown to be related to IR in the bivariate analysis.

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Autocorrelation of Spatial Based Dengue Hemorrhagic Fever Cases in Air Putih Area, Samarinda City

JURNAL KESEHATAN LINGKUNGAN ◽

10.20473/jkl.v12i2.2020.78-86 ◽

2020 ◽

Vol 12 (2) ◽

pp. 78

Author(s):

Syamsir Syamsir ◽

Dwi Murdaningsih Pangestuty

Keyword(s):

Spatial Autocorrelation ◽

Health Center ◽

Dengue Hemorrhagic Fever ◽

Control Program ◽

Hemorrhagic Fever ◽

Moran’S I ◽

Autocorrelation Analysis ◽

Index Method ◽

Moran's I ◽

The Impact

Introduction: Dengue Hemorrhagic Fever (DHF) is the disease that spread quickly in tropical and subtropical regions. DHF can spread quickly because the dengue virus is transmitted through the Aedes aegypti and Aedes albopictus into the human body. One of the provinces that felt the impact of the dengue outbreak was East Kalimantan, especially Samarinda City. Efforts to prevent dengue have been attempted by health center officials in Samarinda City. The cause has not yet been effective in controlling DHF programs in Samarinda City because there is no mapping of DHF vulnerable areas. This study aims to map the pattern of DHF distribution in the working area of the health center to maximize the implementation of the DHF control program. Methods: The population in this study were all DHF sufferers registered at the Air Putih Health Center in 2018. Withdrawal samples using total sampling techniques. The analysis used in this study is spatial autocorrelation analysis by Moran’s I. The Moran Index method is used to determine the autocorrelation of the distribution of DHF cases. Result and Discussion: The results of the autocorrelation analysis showed a Z score <-Z α/2, meaning Ho was rejected. This shows that there is spatial autocorrelation in the distribution of DHF in the Health Center. Based on the Moran’s I value (Moran’s I = -0.045850) which has a negative value indicates that the distribution of DHF in the working area of the Health Center tends to spread or dispersed. Conclusion: This study concludes that the more cases of DHF in a densely populated area, the greater the chance of spatial autocorrelation. The closeness between DHF cases can form spatial autocorrelation with the dispersed category.

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Proporsi Larva Aedes aegypti dan Aedes albopictus, Hubungannya dengan Kejadian Demam Berdarah Dengue di Daerah Endemik Suburban Kabupaten Sleman, Yogyakarta

BALABA JURNAL LITBANG PENGENDALIAN PENYAKIT BERSUMBER BINATANG BANJARNEGARA ◽

10.22435/blb.v15i2.1800 ◽

2019 ◽

pp. 163-170

Author(s):

Bobby Fahmi Muldan Pahlevi ◽

Tri Wulandari Kesetyaningsih

Keyword(s):

Aedes Aegypti ◽

Aedes Albopictus ◽

Dengue Hemorrhagic Fever ◽

Urban Areas ◽

Endemic Area ◽

Hemorrhagic Fever ◽

Suburban Area ◽

Dengue Transmission ◽

The Relationship

Dengue Hemorrhagic Fever (DHF) is transmitted by Aedes aegypti and Ae. albopictus. Aedes aegypti chooses to live indoors and Ae. albopictus in outdoors. Aedes aegypti has been proven to play a role in dengue transmission in urban areas. It is assumed that suburbs dominated by gardens, so it is possible that Ae. albopictus acts as a vector. The study aimed to analyze the relationship between Ae. albopictus and DHF incidence in suburban area. The study was conducted in Godean, Sleman Regency. 280 ovitrap were placed indoors and outdoors at across seven villages. Each village was represented by one hamlet, so there were 40 ovitrap of each hamlet. The proportion of ovitrap containing Ae. aegypti and Ae. albopictus larvae was calculated. The results showed that Ae. aegypti larvae was more indoors (78.50%) than outdoors (21.45%) in all villages and negatively correlates with DHF (p=0.036; r=-0.776). Aedes albopictus larvae is more commonly found in gardens (80.64%) than in homes (19.36%) and does not correlate with DHF (p = 0.702). It was concluded that in suburban endemic area of Sleman Regency, Ae. aegypti larvae was more indoors and negatively correlated with DHF. Aedes albopictus larva was more in the garden and did not correlate with DHF incidence.

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Spatial-temporal patterns of malaria incidence in Uganda using HMIS data from 2015 to 2019

BMC Public Health ◽

10.1186/s12889-020-10007-w ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Simon P. Kigozi ◽

Ruth N. Kigozi ◽

Catherine M. Sebuguzi ◽

Jorge Cano ◽

Damian Rutazaana ◽

...

Keyword(s):

High Risk ◽

Incidence Rate ◽

Health Facility ◽

Malaria Incidence ◽

Temporal Patterns ◽

Health Facilities ◽

Moran’S I ◽

Moran's I ◽

Catchment Population ◽

Targeted Interventions

Abstract Background As global progress to reduce malaria transmission continues, it is increasingly important to track changes in malaria incidence rather than prevalence. Risk estimates for Africa have largely underutilized available health management information systems (HMIS) data to monitor trends. This study uses national HMIS data, together with environmental and geographical data, to assess spatial-temporal patterns of malaria incidence at facility catchment level in Uganda, over a recent 5-year period. Methods Data reported by 3446 health facilities in Uganda, between July 2015 and September 2019, was analysed. To assess the geographic accessibility of the health facilities network, AccessMod was employed to determine a three-hour cost-distance catchment around each facility. Using confirmed malaria cases and total catchment population by facility, an ecological Bayesian conditional autoregressive spatial-temporal Poisson model was fitted to generate monthly posterior incidence rate estimates, adjusted for caregiver education, rainfall, land surface temperature, night-time light (an indicator of urbanicity), and vegetation index. Results An estimated 38.8 million (95% Credible Interval [CI]: 37.9–40.9) confirmed cases of malaria occurred over the period, with a national mean monthly incidence rate of 20.4 (95% CI: 19.9–21.5) cases per 1000, ranging from 8.9 (95% CI: 8.7–9.4) to 36.6 (95% CI: 35.7–38.5) across the study period. Strong seasonality was observed, with June–July experiencing highest peaks and February–March the lowest peaks. There was also considerable geographic heterogeneity in incidence, with health facility catchment relative risk during peak transmission months ranging from 0 to 50.5 (95% CI: 49.0–50.8) times higher than national average. Both districts and health facility catchments showed significant positive spatial autocorrelation; health facility catchments had global Moran’s I = 0.3 (p < 0.001) and districts Moran’s I = 0.4 (p < 0.001). Notably, significant clusters of high-risk health facility catchments were concentrated in Acholi, West Nile, Karamoja, and East Central – Busoga regions. Conclusion Findings showed clear countrywide spatial-temporal patterns with clustering of malaria risk across districts and health facility catchments within high risk regions, which can facilitate targeting of interventions to those areas at highest risk. Moreover, despite high and perennial transmission, seasonality for malaria incidence highlights the potential for optimal and timely implementation of targeted interventions.

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Gambaran indeks Maya pada rumah penderita demam berdarah dengue di Kelurahan Kombos Barat Kecamatan Singkil tahun 2015

Jurnal e-Biomedik ◽

10.35790/ebm.4.1.2016.12145 ◽

2016 ◽

Vol 4 (1) ◽

Author(s):

Ivan T. Sigarlaki ◽

Victor D. Pijoh ◽

Josef S.B. Tuda

Keyword(s):

Aedes Aegypti ◽

Aedes Albopictus ◽

Dengue Hemorrhagic Fever ◽

Risk Index ◽

Public Health Problem ◽

Hemorrhagic Fever ◽

Viral Disease ◽

Environmental Data ◽

Mosquito Vector ◽

Short Time

Abstract: Dengue hemorrhagic fever (DHF) is a viral disease that can cause death within a very short time (a few days). The main vector of DHF is Aedes aegypti mosquito, whereas the potential vector is Aedes albopictus. In the context of prevention of DHF, environmental data associated with bionomics mosquito vector of DHF, the Maya Index, are needed. DHF is still a public health problem. And for the case that there is in the city of Manado in 2013, in this case in the district of Singkil, acquired as many as 43 cases of dengue hemorrhagic fever. This study aimed to describe the Maya Index at the houses of dengue hemorrhagic fever patients in the village of West Kombos, Singkil districts. Maya Index is based on hygiene risk index (HRI) and breeding risk index (BRI). This was a descriptive study. Samples were houses of patients with DHF in 2015 from January to December. The results showed that there were four patients during the year 2015. Observation of the four houses and calculation of the data indicated that two houses were in low category of Maya Index, one house in medium category of Maya Index, and one house in high category of Maya Index. Keywords: dengue hemorrhagic fever, Maya index Abstrak: Demam berdarah dengue (DBD) adalah penyakit virus yang berbahaya karena dapat menyebabkan kematian dalam waktu yang sangat singkat (beberapa hari). Vektor utama DBD ialah nyamuk Aedes aegypti, sedangkan vektor potensialnya ialah Aedes albopictus. Dalam konteks penanggulangan DBD, juga diperlukan data lingkungan terkait dengan segi bionomik nyamuk vektor DBD, yaitu Indeks Maya. DBD masih merupakan masalah kesehatan masyarakat di kota Manado. Pada tahun 2013, di Kecamatan Singkil didapatkan sebanyak 43 kasus DBD. Penelitian ini bertujuan untuk mengetahui gambaran Indeks Maya pada rumah penderita DBD di Kelurahan Kombos Barat Kecamatan Singkil. Indeks Maya didasarkan pada hygiene risk index (HRI) dan breeding risk index (BRI). Jenis penelitian ialah deskriptif. Sampel penelitian ialah rumah dari penderita DBD tahun 2015 sejak bulan Januari-Desember. Dari hasil penelitian didapatkan empat penderita sepanjang tahun 2015 dan setelah dilakukan observasi ke rumah penderita dan perhitungan data didapatkan dua rumah masuk pada kategori Indeks Maya rendah, satu rumah masuk pada kategori Indeks Maya sedang, dan satu rumah masuk kategori Indeks Maya tinggi.Kata kunci: demam berdarah dengue, indeks Maya

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AKTIVITAS NOKTURNAL Aedes spp.VEKTOR DEMAM BERDARAH DENGUE DI KOTA SEMARANG

Vektora Jurnal Vektor dan Reservoir Penyakit ◽

10.22435/vk.v13i1.3916 ◽

2021 ◽

Vol 13 (1) ◽

pp. 27-34

Author(s):

Retno Hestiningsih ◽

Govinda Restu Syahputra ◽

Martini Martini ◽

Sri Yuliawati ◽

M. Arie Wuryanto ◽

...

Keyword(s):

Aedes Albopictus ◽

Dengue Hemorrhagic Fever ◽

Environmental Parameters ◽

Hemorrhagic Fever ◽

Cross Sectional Study ◽

Cross Sectional ◽

Blood Sucking ◽

Temperature And Humidity ◽

Breeding Grounds ◽

Mosquito Collection

Sendangmulyo Village is one of the DHF (Dengue Hemorrhagic Fever) endemic areas in Semarang City. Previous studies reported that Aedes spp. active biting at night (nocturnal biting activity) in some areas in Indonesia. This indicates that changes in the blood-sucking behavior of Aedes spp mosquitoes can have an impact on dengue transmission. This research is a descriptive study with a cross-sectional study design. The study was conducted in 64 houses. The mosquito field collection was carried out using the resting mosquito collection method at 18.00-06.00 WIB. Observations of environmental parameters were also carried out to determine the temperature and humidity of the environment around the breeding grounds of Aedes spp. The results showed that there was a change in Aedes spp's blood-sucking activity from 16.00-17.00 WIB to 18.00-20.00 WIB. The distribution of Aedes albopictus in Sendangmulyo Village was 18% of the total Aedes spp. mosquitoes collected with a Resting Rate (RR) value of 0.98%. The average temperature and humidity in the area were 28.6 °C and 77.2%, respectively. This change in blood-sucking activity in Aedes spp has the potential to increase the risk of spreading DHF in Sendangmulyo Village. Dengue Hemorrhagic Fever vector control efforts need to be improved. Abstrak Kelurahan Sendangmulyo merupakan salah satu daerah endemis DBD (Demam Berdarah Dengue) di Kota Semarang. Studi-studi sebelumnya melaporkan bahwa Aedes spp. aktif menggigit pada malam hari (aktivitas menggigit nokturnal) di beberapa daerah di Indonesia. Hal ini mengindikasikan adanya perubahan perilaku menghisap darah nyamuk Aedes spp. dapat berdampak pada penularan dengue. Penelitian ini merupakan penelitian deskriptif dengan desain studi cross sectional. Penelitian dilakukan pada 64 rumah. Koleksi lapangan nyamuk dilakukan dengan metode koleksi nyamuk istirahat pada pukul 18.00-06.00 WIB. Pengamatan parameter lingkungan juga dilakukan untuk mengetahui suhu dan kelembaban lingkungan disekitar tempat perkembangbiakan Aedes spp. Hasil penelitian menunjukkan adanya perubahan aktivitas menghisap darah Aedes spp dari pukul 16.00-17.00 WIB menjadi pukul 18.00-20.00 WIB. Sebaran Aedes albopictus di Kelurahan Sendangmulyo adalah 18% dari total nyamuk Aedes spp yang terkoleksi dengan nilai Resting Rate (RR) sebesar 0,98%. Rata-rata suhu dan kelembaban di daerah tersebut masing-masing adalah 28,6 °C dan 77,2%. Perubahan aktivitas menghisap darah pada Aedes spp ini berpotensi meningkatkan risiko penyebaran DBD di Kelurahan Sendangmulyo. Upaya pengendalian vektor DBD perlu ditingkatkan.

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Autokorelasi Spasial Demam Berdarah Dengue di Kecamatan Samarinda Utara, Kota Samarinda

JURNAL KESEHATAN LINGKUNGAN INDONESIA ◽

10.14710/jkli.19.2.119-126 ◽

2020 ◽

Vol 19 (2) ◽

pp. 119-126

Author(s):

Syamsir Syamsir ◽

Andi Daramusseng ◽

Rudiman Rudiman

Keyword(s):

Public Health ◽

Spatial Autocorrelation ◽

Health Center ◽

Dengue Hemorrhagic Fever ◽

Hemorrhagic Fever ◽

Cluster Sampling ◽

Spatial Autocorrelation Analysis ◽

Z Score ◽

Autocorrelation Analysis ◽

Moran's I

Latar belakang: Demam Berdarah Dengue (DBD) masih menjadi masalah kesehatan masyarakat. Indonesia menjadi salah satu negara yang setiap tahunnya ditemukan kasus DBD. Program pengendalian DBD masih kurang maksimal karena puskesmas belum mampu memetakan wilayah rentan DBD. Penelitian ini bertujuan untuk mengetahui pola sebaran DBD di Kecamatan Samarinda Utara dengan menggunakan autokorelasi spasial.Metode: Penelitian ini dilaksanakan di kelurahan yang berada pada wilayah kerja Puskesmas Lempake, Kecamatan Samarinda Utara. Sampel penelitian dipilih berdasarkan metode cluster sampling. Berdasarkan kriteria jumlah kasus tertinggi maka kelurahan di Kecamatan Samarinda Utara yang representatif untuk dijadikan cluster pada penelitian ini yaitu kelurahan yang berada pada wilayah kerja Puskesmas Lempake. Analisis yang digunakan pada penelitian ini yaitu Spatial Autocorrelation Analysis dengan menggunakan metode Moran’s I. Spatial Autocorrelation Analysis digunakan untuk mengetahui apakah terdapat hubungan antar titik dan arah hubungannya (postif atau negatif).Hasil: Nilai Z-score atau Z hitung = 3,651181 dengan nilai kritis (Z α/2) sebesar 2,58. Ini menunjukkan bahwa Z-score > Z α/2 (3,6511 > 2,58) sehingga Ho ditolak. Terdapat autokorelasi spasial pada sebaran kasus DBD di wilayah kerja Puskesmas Lempake. Sebaran kasus DBD di wilayah kerja Puskesmas Lempake termasuk kategori clustered atau berkelompok pada lokasi tertentu. Moran’s Index (I) = 0,124420 artinya I > 0. Ini menunjukkan bahwa pola sebaran DBD di wilayah kerja Puskesmaas Lempake merupakan autokorelasi positif. Simpulan: Pola sebaran kasus DBD di Kecamatan Samarinda Utara yaitu clustered. Autokorelasi spasial yang dihasilkan yaitu autokorelasi positif. ABSTRACTTitle: Spatial Autocorrelation of Dengue Hemorrhagic Fever in North Samarinda district, Samarinda CityBackground: Dengue Hemorrhagic Fever (DHF) is still a public health problem. Indonesia is one of the countries where DHF cases are found every year. The DHF control program is still less than optimal because the public health center has not been able to map the DHF vulnerable areas. This study aims to determine the pattern of DHF distribution in the District of North Samarinda by using spatial autocorrelation.Method: This research was conducted in a village located in the working area of the Lempake Health Center, Samarinda Utara district. The research sample was chosen based on the cluster sampling method. Based on the criteria for the highest number of cases, the representative village to be clustered in this study are the village within the working area of the Lempake Health Center. The analysis used in this study is spatial autocorrelation nalysis using the Moran’s I. Spatial autocorrelation Analysis method is used to determine whether there is a relationship between the point and direction of the relationship (positive or negative).Result: Z-score or Z count = 3.651181 with a critical value (Z α / 2) of 2.58. This shows that Z-score> Z α / 2 (3.6511> 2.58) so that Ho is rejected. There is a spatial autocorrelation in the distribution of dengue cases in the working area of the Lempake Health Center. The distribution of dengue cases in the working area of Lempake Health Center is classified as clustered or grouped in certain locations. Moran’s Index (I) = 0.124420 means I> 0. This shows that the pattern of DHF distribution in the work area of Lempake Health Center is a positive autocorrelation.Conclusion: The pattern of distribution of dengue cases in the District of North Samarinda is clustered. The resulting spatial autocorrelation is positive autocorrelation.

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Training of Paramedical Personnel. Understanding priorities in treatment of diarrhea

Paediatrica Indonesiana ◽

10.14238/pi14.9-10.1974.153-8 ◽

2017 ◽

Vol 14 (9-10) ◽

pp. 153 ◽

Cited By ~ 2

Author(s):

Jon E. Rohde

Keyword(s):

Dengue Hemorrhagic Fever ◽

Lactose Intolerance ◽

Food Poisoning ◽

Hemorrhagic Fever ◽

Medical Personnel ◽

E Coli ◽

Paramedical Personnel ◽

Prevention And Treatment ◽

Viral Enteritis

Training of medical personnel must emphasize the importtance of dehydration, its diagnosis, recognition, prevention and treatment. Maintenance of body hydration is the key to therapy for cholera, amoebiasis, toxin producing E. coli, measles, lactose intolerance, acute food poisoning, dengue hemorrhagic fever, viral enteritis, heat stoke; the list is almost endless. Management is basically the same for all.

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Spatial-temporal patterns of malaria incidence in Uganda using HMIS data from 2015 to 2019

10.21203/rs.3.rs-54079/v3 ◽

2020 ◽

Author(s):

Simon Kigozi ◽

Ruth N Kigozi ◽

Catherine M Sebuguzi ◽

Jorge Cano ◽

Damian Rutazaana ◽

...

Keyword(s):

High Risk ◽

Incidence Rate ◽

Health Facility ◽

Malaria Incidence ◽

Temporal Patterns ◽

Health Facilities ◽

Moran’S I ◽

Moran's I ◽

Catchment Population ◽

Targeted Interventions

Abstract Background. As global progress to reduce malaria transmission continues, it is increasingly important to track changes in malaria incidence rather than prevalence. Risk estimates for Africa have largely underutilized available health management information systems (HMIS) data to monitor trends. This study uses national HMIS data, together with environmental and geographical data, to assess spatial-temporal patterns of malaria incidence at facility catchment level in Uganda, over a recent 5-year period.Methods. Data reported by 3446 health facilities in Uganda, between July 2015 and September 2019, was analysed. To assess the geographic accessibility of the health facilities network, AccessMod was employed to determine a three-hour cost-distance catchment around each facility. Using confirmed malaria cases and total catchment population by facility, an ecological Bayesian conditional autoregressive spatial-temporal Poisson model was fitted to generate monthly posterior incidence rate estimates, adjusted for caregiver education, rainfall, land surface temperature, night-time light (an indicator of urbanicity), and vegetation index.Results. An estimated 38.8 million (95% Credible Interval [CI]: 37.9 – 40.9) confirmed cases of malaria occurred over the period, with a national mean monthly incidence rate of 20.4 (95% CI: 19.9 - 21.5) cases per 1000, ranging from 8.9 (95% CI: 8.7 – 9.4) to 36.6 (95% CI: 35.7 – 38.5) across the study period. Strong seasonality was observed, with June-July experiencing highest peaks and February-March the lowest peaks. There was also considerable geographic heterogeneity in incidence, with health facility catchment relative risk during peak transmission months ranging from 0 to 50.5 (95% CI: 49.0 – 50.8) times higher than national average. Both districts and health facility catchments showed significant positive spatial autocorrelation; health facility catchments had global Moran’s I = 0.3 (p<0.001) and districts Moran’s I = 0.4 (p<0.001). Notably, significant clusters of high-risk health facility catchments were concentrated in Acholi, West Nile, Karamoja, and East Central – Busoga regions.Conclusion. Findings showed clear countrywide spatial-temporal patterns with clustering of malaria risk across districts and health facility catchments within high risk regions, which can facilitate targeting of interventions to those areas at highest risk. Moreover, despite high and perennial transmission, seasonality for malaria incidence highlights the potential for optimal and timely implementation of targeted interventions.

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Resistance Status of Aedes albopictus (Skuse) on Malathion in Bengkulu City

Unnes Journal of Public Health ◽

10.15294/ujph.v7i2.20153 ◽

2018 ◽

Vol 7 (2) ◽

pp. 113-119

Author(s):

Dessy Triana ◽

Sitti Rahmah Umniyati ◽

Budi Mulyaningsih

Keyword(s):

Aedes Aegypti ◽

Dengue Virus ◽

Aedes Albopictus ◽

Adult Female ◽

Dengue Hemorrhagic Fever ◽

Endemic Area ◽

Hemorrhagic Fever ◽

Evaluation Report ◽

Control Programs ◽

Diagnostic Dose

Abstract Dengue Hemorrhagic Fever (DHF) is a disease caused by dengue virus and transmitted by Aedes aegypti mosquito as the main vector and Aedes albopictus as secondary vector. In 2016, Bengkulu City was one of 3 cities that experiencing DHF outbreaks in Indonesia. Insecticides malathion have been used since 1990 in bulk in DHF control programs in Bengkulu City and have not had an evaluation report on Aedes sp. vulnerability to malathion. The purpose of this research was to know the resistance status of Ae albopictus mosquitoes from endemic and sporadic areas of DHF in Bengkulu City to malathion. The sample of the study was the Ae. albopictus adult female mosquitoes which collected from endemic and sporadic areas of DHF in Bengkulu City with ovitrap installation. The resistance test was performed by CDC Bottle Bioassay method with malation 96% and 50 μg/ml diagnostic dose of. The results of this study showed 1% mortality on endemic area and 5% on sporadic area. Aedes albopictus of both areas were resistant to malathion. Keywords: Ae. albopictus, bottle bioassay, malathion. Abstrak Demam Berdarah Dengue (DBD) merupakan penyakit yang disebabkan oleh virus dengue dan ditularkan oleh nyamuk Aedes aegypti sebagai vektor utama dan Aedes albopictus sebagai vektor sekunder. Pada tahun 2016, Kota Bengkulu merupakan 1 dari 3 kota yang mengalami KLB DBD di Indonesia. Insektisida malation telah digunakan sejak tahun 1990 secara massal dalam program pengendalian DBD di Kota Bengkulu dan belum memiliki laporan evaluasi mengenai kerentanan Aedes sp terhadap malation. Tujuan penelitian untuk mengetahui status kerentanan nyamuk Ae. albopictus dari daerah endemis dan sporadis DBD Kota Bengkulu terhadap malation. Sampel penelitian adalah nyamuk betina dewasa Ae. albopictus yang dikoleksi dari daerah endemik dan sporadis DBD Kota Bengkulu dengan pemasangan ovitrap. Uji kerentanan dilakukan dengan metode CDC Bottle Bioassay dengan malation 96% dan dosis diagnostik 50 µg/ml. Hasil penelitian ini menunjukkan mortalitas 1% untuk daerah endemis dan 5% untuk daerah sporadis. Aedes albopictus kedua daerah telah resisten terhadap malation. Kata Kunci: Ae. albopictus, bottle bioassay, malation.

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