ORCID Profile
0000-0002-9461-0648
Current Organisation
Badan Riset dan Inovasi Nasional Republik Indonesia
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Publisher: Springer Science and Business Media LLC
Date: 11-11-2022
DOI: 10.1007/S00484-022-02390-3
Abstract: Climate is widely known as an important driver to transmit vector-borne diseases (VBD). However, evidence of the role of climate variability on VBD risk in Indonesia has not been adequately understood. We conducted a systematic literature review to collate and critically review studies on the relationship between climate variability and VBD in Indonesia. We searched articles on PubMed, Scopus, and Google Scholar databases that are published until December 2021. Studies that reported the relationship of climate and VBD, such as dengue, chikungunya, Zika, and malaria, were included. For the reporting, we followed the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. A total of 66 out of 284 studies were reviewed. Fifty-two (78.8%) papers investigated dengue, 13 (19.7%) papers studied malaria, one (1.5%) paper discussed chikungunya, and no (0%) paper reported on Zika. The studies were predominantly conducted in western Indonesian cities. Most studies have examined the short-term effect of climate variability on the incidence of VBD at national, sub-national, and local levels. Rainfall (n = 60/66 90.9%), mean temperature (T
Publisher: Springer Science and Business Media LLC
Date: 04-04-2019
Publisher: Badan Penelitian dan Pengembangan Kesehatan
Date: 30-06-2016
Publisher: Elsevier BV
Date: 08-2019
DOI: 10.1016/J.ENVRES.2019.05.021
Abstract: Although the association between dengue in Bali, Indonesia, and imported dengue in Australia has been widely asserted, no study has quantified this association so far. Monthly data on dengue and climatic factors over the past decade for Bali and Jakarta as well as monthly data on imported dengue in Australia underwent a three-stage analysis. Stage I: a quasi-Poisson regression with distributed lag non-linear model was used to assess the associations of climatic factors with dengue in Bali. Stage II: a generalized additive model was used to quantify the association of dengue in Bali with imported dengue in Australia with and without including the number of travelers in log scale as an offset. Stage III: the associations of mean temperature and rainfall (two climatic factors identified in stage I) in Bali with imported dengue in Australia were examined using stage I approach. The number of dengue cases in Bali increased with increasing mean temperature, and, up to a certain level, it also increased with increasing rainfall but dropped off for high levels of rainfall. Above a monthly incidence of 1.05 cases per 100,000, dengue in Bali was almost linearly associated with imported dengue in Australia at a lag of one month. Mean temperature (relative risk (RR) per 0.5 °C increase: 2.95, 95% confidence interval (CI): 1.87, 4.66) and rainfall (RR per 7.5 mm increase: 3.42, 95% CI: 1.07, 10.92) in Bali were significantly associated with imported dengue in Australia at a lag of four months. This study suggests that climatic factors (i.e., mean temperature and rainfall) known to be conducive of dengue transmission in Bali can provide an early warning with 4-month lead time for Australia in order to mitigate future outbreaks of local dengue in Australia. This study also provides a template and framework for future surveillance of travel-related infectious diseases globally.
Publisher: Elsevier BV
Date: 11-2019
DOI: 10.1016/J.TMAID.2019.06.008
Abstract: Dengue fever control in the tropical island of Bali in Indonesia carries important significance both nationally and globally, as it is one of the most endemic islands in Indonesia and a worldwide popular travel destination. Despite its importance, the spatial and temporal heterogeneity in dengue risk and factors associated with its variation in risk across the island has not been not well explored. This study was aimed to analyze for the first time the geographical and temporal patterns of the incidence of dengue and to quantify the role of environmental and social factors on the spatial heterogeneity of dengue incidence in Bali. We analyzed retrospective dengue notification data at the sub-district level (Kecamatan) from January 2012 to December 2017 which obtained from the Indonesian Ministry of Health. Seasonality in notified dengue incidence was assessed by seasonal trend decomposition analysis with Loess (STL) smoothing. Crude standardized morbidity rates (SMRs) of dengue were calculated. Moran's I and local indicators of spatial autocorrelation (LISA) analysis were employed to assess spatial clustering and high-risk areas over the period studied. Bayesian spatial and temporal conditional autoregressive (CAR) modeling was performed to quantify the effects of rainfall, temperature, elevation, and population density on the spatial distribution of risk of dengue in Bali. Strong seasonality of dengue incidence was observed with most cases notified during January to May. Dengue incidence was spatially clustered during the period studied with high-risk kecamatans concentrated in the south of the island, but since 2014, the high-risk areas expanded toward the eastern part of the island. The best-fitted CAR model showed increased dengue risk in kecamatans with high total annual rainfall (relative risk (RR): 1.16 for each 1-mm increase in rainfall 95% Credible interval (CrI): 1.03-1.31) and high population density (RR: 7.90 per 1000 people/sq.km increase 95% CrI: 3.01-20.40). The RR of dengue was decreased in kecamatans with higher elevation (RR: 0.73 for each 1-m increase in elevation 95% CrI: 0.55-0.98). No significant association was observed between dengue RR and year except in 2014, where the dengue RR was significantly lower (RR: 0.53 95% CrI: 0.30-0.92) relative to 2012. Dengue incidence was strongly seasonal and spatially clustered in Bali. High-risk areas were spread from kecamatans in Badung and Denpasar toward Karangasem and Klungkung. The spatial heterogeneity of dengue risk across Bali was influenced by rainfall, elevation, and population density. Surveillance and targeted intervention strategies should be prioritized in the high-risk kecamatans identified in this study to better control dengue transmission in this most touristic island in Indonesia. Local health authorities should recommend travelers to use personal protective measures, especially during the peak epidemic period, before visiting Bali.
Publisher: Public Library of Science (PLoS)
Date: 07-05-2020
Publisher: IOP Publishing
Date: 11-2022
DOI: 10.1088/1755-1315/1089/1/012074
Abstract: Climate change is known to have a significant impact on public health as it could speed the spread of zoonotic infections. The purpose of this study is to estimate the potential geographical distribution of the risk of leptospirosis – a bacterial infection caused by Leptospira spp and transmitted by rodents, in Western Java islands. The possible distribution of Leptospira was modelled by using MaxEnt ecological niche (EN) framework under various climate scenarios. Data for elevation and nineteen bioclimatic variables associated with temperature and precipitation were obtained from climate database. In general, the shift in the geographical distribution in leptospirosis occurrence is evident. The model shows that the probability of the leptospirosis occurrence is predicted to be high in the northern and central part of the islands. The annual mean temperature, annual precipitation, and precipitation of wettest quarter were the more significant contributors to the dynamic of leptospirosis emergence. The study reveals that climate change will likely increase the probability for leptospirosis emergence over the islands, suggesting the importance of substantial mitigation efforts towards improving sanitation, hygiene and flood management, in addition to strengthening public health preventive and surveillance strategies at a local level.
Publisher: PAGEPress Publications
Date: 05-10-2023
DOI: 10.4081/GH.2023.1221
Publisher: Cold Spring Harbor Laboratory
Date: 04-02-2022
DOI: 10.1101/2022.02.02.22270351
Abstract: Inactivated SARS-CoV-2 vaccine has been included in the national COVID-19 vaccination program in Indonesia since January 2021. The study aims to assess the impacts of inactivated COVID-19 vaccine on infection, hospitalization, and death among adult population aged ≥18 years in Bali, Indonesia. Test-negative, case control study was conducted by linking SARS-CoV-2 laboratory records, vaccination, and health administrative data for the period of January 13 to June 30, 2021. Case-subjects were defined as in iduals who had a positive RT-PCR test for SARS-CoV-2 during the period they were matched with controls (tested negative) (1:1) based on age, sex, district of residence, and week of testing. We estimated the odds of vaccination in PCR confirmed, hospitalization and death due to COVID-19, accounting for the presence of comorbidities and prior infection. Vaccine effectiveness was estimated as (1-odds ratio) x 100%. Total 109,050 RT-PCR test results were retrieved during the January 13 to June 30, 2021. Of these, 14,168 subjects were eligible for inclusion in the study. Total 5518 matched case-control pairs were analyzed. Adjusted vaccine effectiveness (VE) against laboratory-confirmed SARS-CoV-2 infection was 14.5% (95% confidence interval -11 to 34.2) at 0-13 days after the first dose 66.7% (95% CI: 58.1-73.5) at ≥14 days after the second dose. The adjusted effectiveness against hospitalization and COVID-19-associated death was 71.1% (95% CI: 62.9-77.6) and 87.4% (95% CI: 65.1-95.4%) at ≥14 days after receiving the second dose, respectively. Two-dose of inactivated CoronaVac vaccine showed high effectiveness against laboratory confirmed COVID-19 infection, hospitalization, and death associated with COVID-19 among adults aged ≥18 years.
Publisher: Canadian Center of Science and Education
Date: 17-11-2020
Abstract: BACKGROUND: Small mammals such as rats and bats are important animal reservoirs of various zoonotic diseases of public health importance. The potential of rats and bats as a reservoir of leptospirosis and Japanese Encephalitis (JE) in Muna Regency remains unknown. This study aimed to determine the presence of Leptospira spp and JE virus (JEV) in rats and bats in Muna Regency, Southeast Sulawesi Province. METHODS: A cross-sectional survey was carried out in three districts, namely Kabawo, Batalaiworu, and Katobu. Bats and rats were caught in six ecosystems spread across the three districts. Serological (Microscopic Agglutination Test, MAT) and molecular examinations (Polymerase Chain Reactions, PCR) were performed to detect Leptospira spp. and JEV in rats and bats, respectively. RESULTS: A total of 137 rats from seven species were successfully caught, namely Mus sp., Rattus argentiventer, R. nitidus, R. exulans, R. hoffmanni, R. norvegicus, and R. tanezumi. Of which, six species were confirmed positive for Leptospira spp by PCR, with the highest prevalence was found in R. argentiventer (50%) and R. tanezumi (36.4%). Meanwhile, a total of 86 bats were also successfully captured. The JEV antibody was detected in D. viridis, R. celebensis and S. wallacei. CONCLUSION: Rats and bats are the potential reservoirs of leptospirosis and JE in Muna Regency. Most importantly, the study provides the first evidence of JE reservoirs (R. celebensis and S. wallacei) in Sulawesi. Surveillance of leptospirosis and JE are recommended.& nbsp
Publisher: Springer Science and Business Media LLC
Date: 18-05-2018
Publisher: Badan Penelitian dan Pengembangan Kesehatan
Date: 23-07-2015
Publisher: Perkumpulan Entomologi Kesehatan Indonesia
Date: 29-06-2020
Abstract: Abstract. The unsafe and improper use of household insecticides represents a major hazard to the environment and human health. Most of people in Pangandaran Sub-District used household insecticides, even more than ten years. The aim of this study was to analyse factors that affect in safety practices of using household insecticide. The research was conducted from April to July 2014 in Pangandaran sub-district. A total of 374 household participated in this study through interviews. Data collected includes characteristics of respondents, educational status, knowledge, attitudes and practices regarding safe insecticide usage. Chi-square test (χ2) was used to measure the possible association between variables and continued with logistic regression. The majority of respondents were lack of safety practices of using household insecticide (60%). The levels of education (p=0.00) and knowledge (p=0.03) was associated with safe practices in insecticide use. However, according to logistic regression that education level had more influence towards safe insecticide use. Therefore, it is necessary to increase community knowledge through field demonstrations by health workers about the use of household insecticides safely and properly. Keywords: household insecticide, practice, safety, Pangandaran Abstrak. Penggunaan insektisida rumah tangga yang tidak aman dan tidak tepat dapat membahayakan lingkungan dan kesehatan manusia. Sebagian besar masyarakat di Kecamatan Pangandaran menggunakan insektisida rumah tangga, bahkan lebih dari sepuluh tahun. Tujuan dari penelitian ini adalah untuk menganalisis faktor-faktor yang mempengaruhi praktik menjaga keamanan dalam penggunaan insektisida rumah tangga. Penelitian ini dilakukan dari bulan April hingga Juli 2014 di Kecamatan Pangandaran. Sebanyak 374 rumah tangga berpartisipasi dalam penelitian ini melalui wawancara. Data yang dikumpulkan meliputi karakteristik responden, status pendidikan, pengetahuan, sikap dan praktik mengenai penggunaan insektisida yang aman. Uji Chi-square (χ2) digunakan untuk menganalisis hubungan antar variabel dan dilanjutkan dengan regresi logistik. Mayoritas responden mempunyai praktik yang kurang aman dalam menggunakan insektisida rumah tangga (60%). Tingkat pendidikan (p = 0,00) dan pengetahuan (p = 0,03) berhubungan dengan praktik menjaga keamanan ketika menggunakan insektisida rumah tangga. Namun, hasil dari regresi logistik menunjukkan tingkat pendidikan lebih berpengaruh terhadap penggunaan insektisida yang aman. Oleh karena itu, perlu untuk meningkatkan pengetahuan masyarakat melalui demonstrasi lapangan oleh petugas kesehatan tentang penggunaan insektisida rumah tangga secara aman dan tepat. Kata Kunci: insektisida rumah tangga, praktik, aman, Pangandaran
Publisher: PAGEPress Publications
Date: 12-03-2021
DOI: 10.4081/GH.2021.948
Abstract: The aim of this study was to assess the role of climate variability on the incidence of dengue fever (DF), an endemic arboviral infection existing in Jakarta, Indonesia. The work carried out included analysis of the spatial distribution of confirmed DF cases from January 2007 to December 2018 characterising the sociodemographical and ecological factors in DF high-risk areas. Spearman’s rank correlation was used to examine the relationship between DF incidence and climatic factors. Spatial clustering and hotspots of DF were examined using global Moran’s I statistic and the local indicator for spatial association analysis. Classification and regression tree (CART) analysis was performed to compare and identify demographical and socio-ecological characteristics of the identified hotspots and low-risk clusters. The seasonality of DF incidence was correlated with precipitation (r=0.254, P .01), humidity (r=0.340, P .01), dipole mode index (r= –0.459, P .01) and Tmin (r= –0.181, P .05). DF incidence was spatially clustered at the village level (I=0.294, P .001) and 22 hotspots were identified with a concentration in the central and eastern parts of Jakarta. CART analysis showed that age and occupation were the most important factors explaining DF clustering. Areaspecific and population-targeted interventions are needed to improve the situation among those living in the identified DF high-risk areas in Jakarta.
Publisher: PAGEPress Publications
Date: 27-11-2015
DOI: 10.4081/GH.2015.373
Abstract: Four dengue serotypes threatened more than 200 million people and has spread to over 400 districts in Indonesia. Furthermore, 26 districts in most densely populated province, West Java, have been declared as hyperendemic areas. Cimahi is an endemic city with the highest population (14,969 people per square kilometer). Evidence on distribution pattern of dengue cases is required to discover the spread of dengue cases in Cimahi. A study has been conducted to detect clusters of dengue incidence during 2007-2013. A temporal spatial analysis was performed using SaTScan™ software incorporated confirmed dengue monthly data from the Municipality Health Office and population data from a local Bureau of Statistics. A retrospective space-time analysis with a Poisson distribution model and monthly precision was performed. Our results revealed a significant most likely cluster (p& .001) throughout period of study. The most likely cluster was detected in the centre of the city and moved to the northern region of Cimahi. Cimahi, Karangmekar, and Cibabat village were most likely cluster in 2007-2010 (p & .001 RR = 2.16-2.98 pop at risk 12% total population) Citeureup were detected as the most likely cluster in 2011-2013 (p & .001 RR 5.77), respectively. Temporaly, clusters were detected in the first quarter of each year each. In conclusion, a dynamic spread of dengue initiated from the centre to its surrounding areas during the period 2007-2013. Our study suggests the use of GIS to strengthen case detection and surveillance. An in-depth investigation to relevant risk factors in high-risk areas in Cimahi city is encouraged.
Publisher: Elsevier BV
Date: 07-2020
Publisher: AIP Publishing
Date: 2020
DOI: 10.1063/5.0030342
Publisher: Public Library of Science (PLoS)
Date: 08-10-2021
Publisher: Perkumpulan Entomologi Kesehatan Indonesia
Date: 30-06-2015
Publisher: Informa UK Limited
Date: 12-2020
DOI: 10.2147/HIV.S284722
Publisher: Hindawi Limited
Date: 25-09-2021
DOI: 10.1111/TBED.14313
Publisher: Springer Science and Business Media LLC
Date: 09-11-2018
DOI: 10.1038/S41598-018-35074-3
Abstract: Human leptospirosis outbreaks still persistently occur in part of China, indicating that leptospirosis remains an important zoonotic disease in the country. Spatiotemporal pattern of the high-risk leptospirosis cluster and the key characteristics of high-risk areas for leptospirosis across the country are still poorly understood. Using spatial analytical approaches, we analyzed 8,158 human leptospirosis cases notified during 2005–2016 across China to explore the geographical distribution of leptospirosis hotspots and to characterize demographical, ecological and socioeconomic conditions of high-risk counties for leptospirosis in China. During the period studied, leptospirosis incidence was geographically clustered with the highest rate observed in the south of the Province of Yunnan. The degree of spatial clustering decreased over time suggesting changes in local risk factors. However, we detected residual high-risk counties for leptospirosis including counties in the southwest, central, and southeast China. High-risk counties differed from low-risk counties in terms of its demographical, ecological and socioeconomic characteristics. In high-risk clusters, leptospirosis was predominantly observed on younger population, more males and farmers. Additionally, high-risk counties are characterized by larger rural and less developed areas, had less livestock density and crops production, and located at higher elevation with higher level of precipitation compare to low-risk counties. In conclusion, leptospirosis distribution in China appears to be highly clustered to a discrete number of counties highlighting opportunities for elimination hence, public health interventions should be effectively targeted to high-risk counties identified in this study.
Publisher: University of Queensland Library
Date: 2020
Publisher: Wiley
Date: 28-12-2018
DOI: 10.1111/ZPH.12549
Abstract: Leptospirosis is a global zoonotic disease that the transmission is driven by complex geographical and temporal variation in demographics, animal hosts and socioecological factors. This results in complex challenges for the identification of high-risk areas. Spatial and temporal epidemiological tools could be used to support leptospirosis control programs, but the adequacy of its application has not been evaluated. We searched literature in six databases including PubMed, Web of Science, EMBASE, Scopus, SciELO and Zoological Record to systematically review and critically assess the use of spatial and temporal analytical tools for leptospirosis and to provide general framework for its application in future studies. We reviewed 115 articles published between 1930 and October 2018 from 41 different countries. Of these, 65 (56.52%) articles were on human leptospirosis, 39 (33.91%) on animal leptospirosis and 11 (9.5%) used data from both human and animal leptospirosis. Spatial analytical (n = 106) tools were used to describe the distribution of incidence revalence at various geographical scales (96.5%) and to explored spatial patterns to detect clustering and hot spots (33%). A total of 51 studies modelled the relationships of various variables on the risk of human (n = 31), animal (n = 17) and both human and animal infection (n = 3). Among those modelling studies, few studies had generated spatially structured models and predictive maps of human (n = 2/31) and animal leptospirosis (n = 1/17). In addition, nine studies applied time-series analytical tools to predict leptospirosis incidence. Spatial and temporal analytical tools have been greatly utilized to improve our understanding on leptospirosis epidemiology. Yet the quality of the epidemiological data, the selection of covariates and spatial analytical techniques should be carefully considered in future studies to improve usefulness of evidence as tools to support leptospirosis control. A general framework for the application of spatial analytical tools for leptospirosis was proposed.
Publisher: Springer Science and Business Media LLC
Date: 29-04-2019
Publisher: MDPI AG
Date: 16-07-2020
DOI: 10.3390/TROPICALMED5030119
Abstract: The aim of this study was to assess the possible association of El Niño Southern Oscillation (ENSO) and Dipole Mode Index (DMI) on chikungunya incidence overtime, including the significant reduction in cases that was observed in 2017 in Indonesia. Monthly nation-wide chikungunya case reports were obtained from the Indonesian National Disease Surveillance database, and incidence rates (IR) and case fatality rate (CFR) were calculated. Monthly data of Niño3.4 (indicator used to represent the ENSO) and DMI between 2011 and 2017 were also collected. Correlations between monthly IR and CFR and Niño3.4 and DMI were assessed using Spearman’s rank correlation. We found that chikungunya case reports declined from 1972 cases in 2016 to 126 cases in 2017, a 92.6% reduction the IR reduced from 0.67 to 0.05 cases per 100,000 population. No deaths associated with chikungunya have been recorded since its re-emergence in Indonesia in 2001. There was no significant correlation between monthly Niño3.4 and chikungunya incidence with r = −0.142 (95%CI: −0.320–0.046), p = 0.198. However, there was a significant negative correlation between monthly DMI and chikungunya incidence, r = −0.404 (95%CI: −0.229–−0.554) with p 0.001. In conclusion, our initial data suggests that the climate variable, DMI but not Niño3.4, is likely associated with changes in chikungunya incidence. Therefore, further analysis with a higher resolution of data, using the cross-wavelet coherence approach, may provide more robust evidence.
Publisher: Oxford University Press (OUP)
Date: 09-11-2020
Abstract: Malaria remains a significant public health concern in Indonesia. Knowledge about spatial patterns of the residual malaria hotspots is critical to help design elimination strategies in Kotabaru district, South Kalimantan, Indonesia. Laboratory-confirmed malaria cases from 2012 to 2016 were analysed to examine the trend in malaria cases. Decomposition analysis was performed to assess seasonality. Annual spatial clustering of the incidence and hotspots were identified by Moran's I and the local indicator for spatial association, respectively. The annual parasite incidence of malaria was significantly reduced by 87% from 2012 to 2016. Plasmodium vivax infections were significantly much more prevalent over time, followed by Plasmodium falciparum infections (p& .001). The monthly seasonality of P. vivax and P. falciparum was distinct. High incidence was spatially clustered identified in the north, west and parts of south Kotabaru. Two persistent and four re-emerging high-risk clusters were identified during the period. Despite the significant reduction in the incidence of malaria, the residual high-risk villages remained clustered in the northern part of Kotabaru. A spatially explicit decision support system is needed to support surveillance and control programs in the identified high-risk areas to succeed in the elimination goal of 2030.
Publisher: Elsevier BV
Date: 09-2019
DOI: 10.1016/J.ENVRES.2019.06.004
Abstract: In the past three decades, the incidence rate of notified leptospirosis cases in China have steeply declined and are now circumscribed to discrete areas in the country. Previous research showed that climate and environmental variation may play an important role in leptospirosis transmission. However, quantitative associations between climate, environmental factors and leptospirosis in the high-risk areas in China, is still poorly understood. To quantify the temporal effects of climate and remotely-sensed physical environmental factors on human leptospirosis in the high-risk counties in China. Time series seasonal decomposition was performed to explore the seasonality pattern of leptospirosis incidence in Mengla County, Yunnan and Yilong County, Sichuan for the period 2006-2016. Time series cross-correlation analysis was carried out to examine lagged effects of rainfall, relative humidity, normalized difference vegetation index (NDVI), modified normalized difference water index (MNDWI) and land surface temperature (LST) on leptospirosis. The associations of climatic and physical environment factors with leptospirosis in each county were assessed by using a generalized linear regression model with negative binomial link, adjusted by seasonal components. Leptospirosis incidence in both counties showed strong and unique annual seasonality. Our results show that in Mengla County leptospirosis notifications exhibits a bi-modal temporal pattern while in Yilong County it follows a typical single epidemic curve. After adjusting for seasonality, the final best-fitting model for Mengla County indicated that leptospirosis notifications were significantly associated with present LST values (incidence rate ratio, IRR = 0.857, 95% confidence interval (CI):0.729-0.929) and rainfall at a lag of 6-months (IRR = 0.989 95% CI: 0.985-0.993). The incidence of leptospirosis in Yilong was associated with rainfall at 1-month lag (IRR = 1.013, 95% CI: 1.003-1.023), LST (3-months lag) (IRR = 1.193, 95% CI: 1.095-1.301), and MNDWI (5-months lag) (IRR = 7.960, 95% CI: 1.241-47.66). Our study identified lagged effects between leptospirosis incidence and climate and remotely-sensed environmental factors in the two most endemic counties in China. Rainfall in combination with satellite derived physical environment factors provided better insight of the local epidemiology as well as good predictors for leptospirosis outbreak in both counties. This would also be an avenue for the development of leptospirosis early warning systems to support leptospirosis control in China.
Location: Indonesia
Location: Indonesia
No related grants have been discovered for Pandji Wibawa Dhewantara.