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Non-specific symptoms in later stages of Lyme disease (LD) may mimic a variety of autoimmune, viral, or complex diseases. Patients lacking erythema migrans or who test negative under CDC guidelines, but suspect LD may search online symptoms in vein. As a result, patients with lingering and undiagnosed symptoms turn to alternative lab tests. This study addresses patient's perceived illness in relation to CDC surveillance data. Extending the literature beyond basic searches for symptoms or disease terms, this study examines spatiotemporal dynamics among symptom, disease, and unconventional lab test searches on Google Trends, in compared with CDC confirmed cases of LD. The search terms used for the Google Trends analysis between 2011 and 2015 include: (1) “lyme” and “lyme disease” for disease, (2) “tick bite,” “bone pain,” “stiff neck,” “circular rash,” and “brain fog” for symptoms, and (3) “IGENEX” for the alternative lab test. Spatial and temporal analyses illustrate noticeable similar patterns between the search frequency and the actual LD incidence. Beyond basic searches for symptoms or disease terms, we demonstrate the improved utility of Google Trends analysis in discovering spatial and temporal patterns of perceived LD and comparing with the reported LD cases. The public health and medical communities benefit from this research through improved knowledge of undiagnosed patients who are searching for alternative labs to explain lingering symptoms. This study validates the need for further research into Google Trends data and surveillance protocols of diseases characterized by non-specific symptoms, prompting patients to “self-diagnose.”
Dohyeong Kim; Sarah Maxwell; Quang Le. Spatial and Temporal Comparison of Perceived Risks and Confirmed Cases of Lyme Disease: An Exploratory Study of Google Trends. Frontiers in Public Health 2020, 8, 395 .
AMA StyleDohyeong Kim, Sarah Maxwell, Quang Le. Spatial and Temporal Comparison of Perceived Risks and Confirmed Cases of Lyme Disease: An Exploratory Study of Google Trends. Frontiers in Public Health. 2020; 8 ():395.
Chicago/Turabian StyleDohyeong Kim; Sarah Maxwell; Quang Le. 2020. "Spatial and Temporal Comparison of Perceived Risks and Confirmed Cases of Lyme Disease: An Exploratory Study of Google Trends." Frontiers in Public Health 8, no. : 395.
Indoor air quality becomes more critical as people stay indoors longer, particularly children and the elderly who are vulnerable to air pollution. Natural ventilation has been recognized as the most economical and effective means of improving indoor air quality, but its benefit is questionable when the external air quality is unacceptable. Such risk-risk tradeoffs would require evidence-based guidelines for households and policymakers, but there is a lack of research that examines spatiotemporal long-term air quality trends, leaving us unclear on when to ventilate. This study aims to suggest the appropriate time for ventilation by analyzing the hourly and quarterly concentrations of particulate matter (PM)10 and PM2.5 in seven metropolitan cities and Jeju island in South Korea from January 2015 to September 2019. Both areas’ PM levels decreased until 2018 and rebounded in 2019 but are consistently higher in spring and winter. Overall, the average concentrations of PM10 and PM2.5 peaked in the morning, declined in the afternoon, and rebounded in the evening, but the second peak was more pronounced for PM2.5. This study may suggest ventilation in the afternoon (2–6pm) instead of the morning or late evening, but substantial differences across the regions by season encourage intervention strategies tailored to regional characteristics.
Dohyeong Kim; Hee-Eun Choi; Won-Mo Gal; Sungchul Seo. Five Year Trends of Particulate Matter Concentrations in Korean Regions (2015–2019): When to Ventilate? International Journal of Environmental Research and Public Health 2020, 17, 5764 .
AMA StyleDohyeong Kim, Hee-Eun Choi, Won-Mo Gal, Sungchul Seo. Five Year Trends of Particulate Matter Concentrations in Korean Regions (2015–2019): When to Ventilate? International Journal of Environmental Research and Public Health. 2020; 17 (16):5764.
Chicago/Turabian StyleDohyeong Kim; Hee-Eun Choi; Won-Mo Gal; Sungchul Seo. 2020. "Five Year Trends of Particulate Matter Concentrations in Korean Regions (2015–2019): When to Ventilate?" International Journal of Environmental Research and Public Health 17, no. 16: 5764.
The recent innovation of IoT-based sensor technologies facilitates real-time monitoring of indoor air pollutants, such as particulate matter (PM), but its dynamic impacts on the level of endocrine disruptors in human body remain understudied. This feasibility study analyzed if the constant measurements of indoor PM concentrations collected at every five minutes are meaningfully associated with the levels of 15 types of endocrine disruptors in urine samples collected three times a day from nine new breastfeeding mothers in Seoul, Korea. Some promising results are observed in terms of detecting cumulative effects of PM10 and PM2.5 on some phthalate metabolites (MnBP, MiBP, MiNP, MCOP, MEOHP and MEHHP), BPA and TCS, at least for some participants. The findings from this study are expected to provide valuable directions for guiding future studies that discover potential associations between indoor PM concentrations and exposure to endocrine disruptors, which is still far from the consensus in the literature. Such efforts should offer empirical and scientific evidences for designing technology-based early warning/alarm services and evidence-based interventions to mitigate the level of exposure to PM and endocrine disruptors in their living environments.
Dohyeong Kim; Ju Kim; Sungchul Seo. Real-Time Measurement of Indoor PM Concentrations on Daily Change of Endocrine Disruptors in Urine Samples of New Mothers. Sustainability 2020, 12, 6166 .
AMA StyleDohyeong Kim, Ju Kim, Sungchul Seo. Real-Time Measurement of Indoor PM Concentrations on Daily Change of Endocrine Disruptors in Urine Samples of New Mothers. Sustainability. 2020; 12 (15):6166.
Chicago/Turabian StyleDohyeong Kim; Ju Kim; Sungchul Seo. 2020. "Real-Time Measurement of Indoor PM Concentrations on Daily Change of Endocrine Disruptors in Urine Samples of New Mothers." Sustainability 12, no. 15: 6166.
Background: Allocation of adequate healthcare facilities is one of the most important factors that public health policymakers consider when preparing for infectious disease outbreaks. Negative pressure isolation rooms (NPIRs) are one of the critical resources for control of infectious respiratory diseases, such as the novel coronavirus disease 2019 (COVID-19) outbreak. However, there is insufficient attention to efficient allocation of NPIR-equipped hospitals. Methods: We aim to explore any insufficiency and spatial disparity of NPIRs in South Korea in response to infectious disease outbreaks based on a simple analytic approach. We examined the history of installing NPIRs in South Korea between the severe acute respiratory syndrome (SARS) outbreak in 2003 and the Middle East respiratory syndrome coronavirus (MERS-Cov) in 2015 to evaluate the allocation process and spatial distribution of NPIRs across the country. Then, for two types of infectious diseases (a highly contagious disease like COVID-19 vs. a hospital-based transmission like MERS-Cov), we estimated the level of disparity between NPIR capacity and demand at the sub-regional level in South Korea by applying the two-step floating catchment area (2SFCA) method. Results: Geospatial information system (GIS) mapping reveals a substantial shortage and misallocation of NPIRs, indicating that the Korean government should consider a simple but evidence-based spatial method to identify the areas that need NPIRs most and allocate funds wisely. The 2SFCA method suggests that, despite the recent addition of NPIRs across the country, there should still be more NPIRs regardless of the spread pattern of the disease. It also illustrates high levels of regional disparity in allocation of those facilities in preparation for an infectious disease, due to the lack of evidence-based approach. Conclusion: These findings highlight the importance of evidence-based decision-making processes in allocating public health facilities, as misallocation of facilities could impede the responsiveness of the public health system during an epidemic. This study provides some evidence to be used to allocate the resources for NPIRs, the urgency of which is heightened in the face of rapidly evolving threats from the novel COVID-19 outbreak.
HyoungAh Kim; Dohyeong Kim; Christopher Paul; Chang Kil Lee. The Spatial Allocation of Hospitals With Negative Pressure Isolation Rooms in Korea: Are We Prepared for New Outbreaks? International Journal of Health Policy and Management 2020, 9, 475 -483.
AMA StyleHyoungAh Kim, Dohyeong Kim, Christopher Paul, Chang Kil Lee. The Spatial Allocation of Hospitals With Negative Pressure Isolation Rooms in Korea: Are We Prepared for New Outbreaks? International Journal of Health Policy and Management. 2020; 9 (11):475-483.
Chicago/Turabian StyleHyoungAh Kim; Dohyeong Kim; Christopher Paul; Chang Kil Lee. 2020. "The Spatial Allocation of Hospitals With Negative Pressure Isolation Rooms in Korea: Are We Prepared for New Outbreaks?" International Journal of Health Policy and Management 9, no. 11: 475-483.
This study aimed to analyze how resource variables (health status, economic affordability, social network, social capital, and neighborhood environment) influence citizens’ intention to pay for and participate in disaster management and safety activities. We compared four psychometric paradigm variables with five resource variables and analyzed how the latter moderate the relationships of the perception variables with intention to pay and to participate. A regression analysis revealed that willingness to pay was mainly explained by trust, followed by social capital, economic affordability, perceived risk, and experience, respectively. Participation was explained by knowledge, social capital, age, trust, and social network, respectively. Gender, trust, and social capital had an influence both on willingness to pay and to participate. Perceived risk, knowledge, and trust had a moderating effect on willingness to pay, but this effect depended on the quality of the neighborhood environment. Trust, knowledge, and stigma had a moderating effect on participation intention, but this effect depended on social capital and the neighborhood environment.
Seoyong Kim; Seol A. Kwon; Jae Eun Lee; Byeong-Cheol Ahn; Ju Ho Lee; Chen An; Keiko Kitagawa; Dohyeong Kim; Jaesun Wang. Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management. Sustainability 2020, 12, 3377 .
AMA StyleSeoyong Kim, Seol A. Kwon, Jae Eun Lee, Byeong-Cheol Ahn, Ju Ho Lee, Chen An, Keiko Kitagawa, Dohyeong Kim, Jaesun Wang. Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management. Sustainability. 2020; 12 (8):3377.
Chicago/Turabian StyleSeoyong Kim; Seol A. Kwon; Jae Eun Lee; Byeong-Cheol Ahn; Ju Ho Lee; Chen An; Keiko Kitagawa; Dohyeong Kim; Jaesun Wang. 2020. "Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management." Sustainability 12, no. 8: 3377.
The toxicity of endocrine disruptors depends on the synergistic interactions of biological, environmental, and behavioral factors. The specific effects of diet, consumer product use, and behaviors, however, are debated in the literature, particularly with regard to endocrine disruptors found in breast milk. This study aimed to measure the levels of phthalate metabolites, bisphenol A, parabens, and triclosan in breast milk and to investigate their associations with various lifestyle factors. The breast milk samples as well as surveys were collected from 221 first-time mothers throughout South Korea and each sample was analyzed for the presence of 15 endocrine disruptors. Phthalate metabolites were detected in 5.4–83.3% of the samples, with median concentrations of 0.08–1.72 μg/L, while bisphenol A, parabens, and triclosan were detected in 25.8–88.2% of the samples, with median concentrations of 0.12–1.47 μg/L. High levels of endocrine disruptors were associated with frequent consumption of fish and cup noodles; the use of plastic and disposable food containers; the use of air fresheners, lotions and make-up; the purchase of new furniture; and socioeconomic status. We also observed the potential role of moderate walking activity on the reduction of these chemicals in breast milk. Our data provide evidence of the potential effects of diet, consumer products, and behavior on the presence of phthalate metabolites, bisphenol A, parabens, and triclosan in breast milk. Future studies should include community or regional impact on a mothers’ exposure to endocrine disruptors, to assess the joint contribution of both individual and neighborhood factors.
Ju Hee Kim; Dohyeong Kim; Seung-Min Moon; Eun Jung Yang. Associations of lifestyle factors with phthalate metabolites, bisphenol A, parabens, and triclosan concentrations in breast milk of Korean mothers. Chemosphere 2020, 249, 126149 .
AMA StyleJu Hee Kim, Dohyeong Kim, Seung-Min Moon, Eun Jung Yang. Associations of lifestyle factors with phthalate metabolites, bisphenol A, parabens, and triclosan concentrations in breast milk of Korean mothers. Chemosphere. 2020; 249 ():126149.
Chicago/Turabian StyleJu Hee Kim; Dohyeong Kim; Seung-Min Moon; Eun Jung Yang. 2020. "Associations of lifestyle factors with phthalate metabolites, bisphenol A, parabens, and triclosan concentrations in breast milk of Korean mothers." Chemosphere 249, no. : 126149.
Despite ample research on the association between indoor air pollution and allergic disease prevalence, public health and environmental policies still lack predictive evidence for developing a preventive guideline for patients or vulnerable populations mostly due to limitation of real-time big data and model predictability. Recent popularity of IoT and machine learning techniques could provide enabling technologies for collecting real-time big data and analyzing them for more accurate prediction of allergic disease risks for evidence-based intervention, but the effort is still in its infancy. This pilot study explored and evaluated the feasibility of a deep learning algorithm for predicting asthma risk. It is based on peak expiratory flow rates (PEFR) of 14 pediatric asthma patients visiting the Korea University Medical Center and indoor particulate matter PM10 and PM2.5 concentration data collected at their residence every 10 minutes using a PM monitoring device with a low-cost sensor between September 1, 2017 and August 31, 2018. We interpolated the PEFR results collected twice a day for each patient throughout the day so that it can be matched to the PM and other weather data. The PEFR results were classified into three categories such as ‘Green’ (normal), ‘Yellow’ (mild to moderate exacerbation) and ‘Red’ (severe exacerbation) with reference to their best peak flow value. Long Short-Term Memory (LSTM) model was trained using the first 10 months of the linked data and predicted asthma risk categories for the next 2 months during the study period. LSTM model is found to predict the asthma risk categories better than multinomial logistic (MNL) regression as it incorporates the cumulative effects of PM concentrations over time. Upon successful modifications of the algorithm based on a larger sample, this approach could potentially play a groundbreaking role for the scientific data-driven medical decision making.
Dohyeong Kim; Sunghwan Cho; Lakshman Tamil; Dae Jin Song; Sungchul Seo. Predicting Asthma Attacks: Effects of Indoor PM Concentrations on Peak Expiratory Flow Rates of Asthmatic Children. IEEE Access 2019, 8, 8791 -8797.
AMA StyleDohyeong Kim, Sunghwan Cho, Lakshman Tamil, Dae Jin Song, Sungchul Seo. Predicting Asthma Attacks: Effects of Indoor PM Concentrations on Peak Expiratory Flow Rates of Asthmatic Children. IEEE Access. 2019; 8 (99):8791-8797.
Chicago/Turabian StyleDohyeong Kim; Sunghwan Cho; Lakshman Tamil; Dae Jin Song; Sungchul Seo. 2019. "Predicting Asthma Attacks: Effects of Indoor PM Concentrations on Peak Expiratory Flow Rates of Asthmatic Children." IEEE Access 8, no. 99: 8791-8797.
Objective: The Lagos State Road Traffic Law of 2012 sought to curb reckless okada use and the objective of this study is to determine its impact on motorcyclist fatalities in Nigeria’s most densely populated state. This is the first study to date that analyzes the potential impact of the Law on motorcyclist fatalities across Lagos State. Methods: We retrospectively reviewed monthly motorcyclist fatalities in Lagos between January 2012 and December 2015. We analyzed the data using Geographic Information Systems (GIS) software, and used Quantum GIS ver. 2.16.2 to create maps illustrating the spatial-epidemiological distribution of motorcyclist fatalities across Lagos’ health facilities. The data was collated into three eight-month periods for analysis (pre-intervention, immediate post-intervention, and sustained post-intervention). Period 1 was January to August 2012, Period 2 was September 2012 to April 2013, and Period 3 was May to December 2013. The data were compared in SPSS using the Welch’s ANOVA and Tanhame (post-hoc) tests with a 5% significance level. Results: Motorcyclist fatalities in Lagos fell by an average of 76% over the study period. Over 55% of the fatalities were recorded in five health facilities, located in an area of high road network density. The number of newly registered motorcycles also declined by an average of 69%. The Welch’s ANOVA yielded a statistically significant difference between the Periods’ means (p < 0.0001). The Tamhane post-hoc test showed significant differences in the mean decrease in fatalities between Period 1 and Period 2 (p = 0.002), and Period 1 and Period 3 (p < 0.0001). Conclusions: This study shows a significant decline in motorcyclist fatalities following the implementation of the Lagos State Road Traffic Law of 2012. A more comprehensive approach to data collection along with an updated law could contribute towards a sustainable reduction of motorcyclist mortality.
Chinmayee Venkatraman; HyoungAh Kim; Abiola Idowu; Jide Idris; Linda Hynan; Dohyeong Kim; Fiemu E. Nwariaku. When policy meets the pedal: A reduction in motorcyclist fatalities following the implementation of a road traffic law in Lagos, Nigeria. Traffic Injury Prevention 2019, 20, 849 -853.
AMA StyleChinmayee Venkatraman, HyoungAh Kim, Abiola Idowu, Jide Idris, Linda Hynan, Dohyeong Kim, Fiemu E. Nwariaku. When policy meets the pedal: A reduction in motorcyclist fatalities following the implementation of a road traffic law in Lagos, Nigeria. Traffic Injury Prevention. 2019; 20 (8):849-853.
Chicago/Turabian StyleChinmayee Venkatraman; HyoungAh Kim; Abiola Idowu; Jide Idris; Linda Hynan; Dohyeong Kim; Fiemu E. Nwariaku. 2019. "When policy meets the pedal: A reduction in motorcyclist fatalities following the implementation of a road traffic law in Lagos, Nigeria." Traffic Injury Prevention 20, no. 8: 849-853.
Previous research has suggested that providing prompt access to emergency medical services (EMS) may greatly improve the health outcomes of patients with urgent conditions. However, there has not been enough research on ways in which planning resources for ambulance dispatch may enhance the response time of EMS. GIS has been used to manage and visualize the spatial distribution of EMS demand, but there is still a need for more empirical evidence from spatiotemporal demand-based prediction techniques, such as machine learning. We applied the long short-term memory (LSTM) method to forecast EMS demands based on past records and reallocated service locations using a dynamic maximal covering location model. The training of the prediction models and validation were conducted with 323,993 emergency calls in the Gyeongnam Province in Korea in 2014. We found that conventional hotspot-based emergency dispatch systems, ignoring temporal variations of service demands, could fail to fulfill a desired coverage standard. This study shows an evidence that demand-based spatiotemporal demand prediction and dynamic dispatch protocol based on machine learning algorithm have the potential to support more efficient allocation of resources, especially when resources are limited.
Sunghwan Cho; Dohyeong Kim. Dynamic Emergency Medical Service Dispatch: Role of Spatiotemporal Machine Learning. Ecology of Tuberculosis in India 2019, 113 -129.
AMA StyleSunghwan Cho, Dohyeong Kim. Dynamic Emergency Medical Service Dispatch: Role of Spatiotemporal Machine Learning. Ecology of Tuberculosis in India. 2019; ():113-129.
Chicago/Turabian StyleSunghwan Cho; Dohyeong Kim. 2019. "Dynamic Emergency Medical Service Dispatch: Role of Spatiotemporal Machine Learning." Ecology of Tuberculosis in India , no. : 113-129.
The adoption rate for Leadership in Energy and Environmental Design – Neighborhood Development (LEED-ND) projects has varied considerably across the United States. Local governments and developers face variation in the incentives and barriers while implementing LEED-ND projects across four key dimensions – economic, policy, public awareness, and organizational. This paper investigated the drivers of variation using a mixed-methods approach including a two-stage Heckman model, a survey of Texas subdivision developers and interviews with local planning officials. Results indicate that initial public funding may lead to more LEED-ND projects being completed, but with a diminishing return as these projects become established within the region. Support for local programs including tax abatement, public-private partnerships, and other incentives were also demonstrated to help facilitate LEED-ND project adoption. Overall this paper underscored the important role, especially early on, the public sector and local governments play in initiating local LEED-ND projects to inform and motivate the land development industry.
Brett Cease; HyoungAh Kim; Dohyeong Kim; Yekang Ko; Cole Cappel. Barriers and incentives for sustainable urban development: An analysis of the adoption of LEED-ND projects. Journal of Environmental Management 2019, 244, 304 -312.
AMA StyleBrett Cease, HyoungAh Kim, Dohyeong Kim, Yekang Ko, Cole Cappel. Barriers and incentives for sustainable urban development: An analysis of the adoption of LEED-ND projects. Journal of Environmental Management. 2019; 244 ():304-312.
Chicago/Turabian StyleBrett Cease; HyoungAh Kim; Dohyeong Kim; Yekang Ko; Cole Cappel. 2019. "Barriers and incentives for sustainable urban development: An analysis of the adoption of LEED-ND projects." Journal of Environmental Management 244, no. : 304-312.
Young Ho Eom; Dohyeong Kim; Sung Min Roh; Chang Kil Lee. National reputation as an intangible asset: a case study of the King Sejong Institute in Korea. International Review of Public Administration 2019, 24, 101 -116.
AMA StyleYoung Ho Eom, Dohyeong Kim, Sung Min Roh, Chang Kil Lee. National reputation as an intangible asset: a case study of the King Sejong Institute in Korea. International Review of Public Administration. 2019; 24 (2):101-116.
Chicago/Turabian StyleYoung Ho Eom; Dohyeong Kim; Sung Min Roh; Chang Kil Lee. 2019. "National reputation as an intangible asset: a case study of the King Sejong Institute in Korea." International Review of Public Administration 24, no. 2: 101-116.
In Bangladesh, policy discourse has mostly focused on regional inequities in health, including child immunization coverage. Knowledge of local geographical and contextual factors within regions, however, becomes pertinent in efforts to address these inequities. We used the Bangladesh Demographic and Health Survey 2011 to examine factors that influence intraregional differences in vaccination coverage using a multilevel analysis. We found that in spite of the provision of health facilities at each level of administrative governance, only distance to the Upazilla Health Complex was a consistent predictor for each dose of vaccine, highlighting the remote locations of the communities that remain underserved. Our analysis demonstrates the value of subregional analyses that identify the characteristics of communities that are vulnerable to incomplete immunization coverage. Unless specific policy actions are taken to increase coverage in these remote areas, geographic inequities are likely to persist within regions, and desired targets will not be achieved.
Priyanka Vyas; Dohyeong Kim; Alayne Adams. Understanding Spatial and Contextual Factors Influencing Intraregional Differences in Child Vaccination Coverage in Bangladesh. Asia Pacific Journal of Public Health 2018, 31, 51 -60.
AMA StylePriyanka Vyas, Dohyeong Kim, Alayne Adams. Understanding Spatial and Contextual Factors Influencing Intraregional Differences in Child Vaccination Coverage in Bangladesh. Asia Pacific Journal of Public Health. 2018; 31 (1):51-60.
Chicago/Turabian StylePriyanka Vyas; Dohyeong Kim; Alayne Adams. 2018. "Understanding Spatial and Contextual Factors Influencing Intraregional Differences in Child Vaccination Coverage in Bangladesh." Asia Pacific Journal of Public Health 31, no. 1: 51-60.
Although previous ecological studies investigating the association between air pollution and allergic diseases accounted for temporal or seasonal relationships, few studies address spatial non-stationarity or autocorrelation explicitly. Our objective was to examine bivariate correlation between outdoor air pollutants and the prevalence of allergic diseases, highlighting the limitation of a non-spatial correlation measure, and suggesting an alternative to address spatial autocorrelation. The 5-year prevalence data (2011–2015) of allergic rhinitis, atopic dermatitis, and asthma were integrated with the measures of four major air pollutants (SO2, NO2, CO, and PM10) for each of the 423 sub-districts of Seoul. Lee’s L statistics, which captures how much bivariate associations are spatially clustered, was calculated and compared with Pearson’s correlation coefficient for each pair of the air pollutants and allergic diseases. A series of maps showing spatiotemporal patterns of allergic diseases at the sub-district level reveals a substantial degree of spatial heterogeneity. A high spatial autocorrelation was observed for all pollutants and diseases, leading to significant dissimilarities between the two bivariate association measures. The local L statistics identifies the areas where a specific air pollutant is considered to be contributing to a type of allergic disease. This study suggests that a bivariate correlation measure between air pollutants and allergic diseases should capture spatially-clustered phenomenon of the association, and detect the local instability in their relationships. It highlights the role of spatial analysis in investigating the contribution of the local-level spatiotemporal dynamics of air pollution to trends and the distribution of allergic diseases.
Dohyeong Kim; Sungchul Seo; Soojin Min; Zachary Simoni; Seunghyun Kim; Myoungkon Kim. A Closer Look at the Bivariate Association between Ambient Air Pollution and Allergic Diseases: The Role of Spatial Analysis. International Journal of Environmental Research and Public Health 2018, 15, 1625 .
AMA StyleDohyeong Kim, Sungchul Seo, Soojin Min, Zachary Simoni, Seunghyun Kim, Myoungkon Kim. A Closer Look at the Bivariate Association between Ambient Air Pollution and Allergic Diseases: The Role of Spatial Analysis. International Journal of Environmental Research and Public Health. 2018; 15 (8):1625.
Chicago/Turabian StyleDohyeong Kim; Sungchul Seo; Soojin Min; Zachary Simoni; Seunghyun Kim; Myoungkon Kim. 2018. "A Closer Look at the Bivariate Association between Ambient Air Pollution and Allergic Diseases: The Role of Spatial Analysis." International Journal of Environmental Research and Public Health 15, no. 8: 1625.
Prior studies reported mixed findings concerning the effects of Closed-Circuit Television (CCTV) on crime reduction. By utilizing the multi-contextual criminal opportunity theory, this study aims to determine the conditional effects of open-street CCTV surveillance system on crime across socioeconomic and physical environmental factors. Using the data from one district in Seoul, Korea, we ran a series of Poisson regression models with interaction terms allowed for articulating the conditional effects of CCTVs on crime. In line with studies in Western countries, CCTVs in Korea were significantly associated with levels of property crime and the areas with larger surveillance zones had lower property crime levels. Also, there was a conditional crime reduction effect of CCTVs on assaults, depending on the areal density of alcohol outlets. The conditional effect of CCTVs suggests some neighborhood characteristics optimize the deployment of CCTVs, which guide more effective implementation of CCTV systems for crime control and prevention.
Yongseol Jang; Dohyeong Kim; Junhwi Park; Dowoo Kim. Conditional effects of open-street closed-circuit television (CCTV) on crime: A case from Korea. International Journal of Law, Crime and Justice 2018, 53, 9 -24.
AMA StyleYongseol Jang, Dohyeong Kim, Junhwi Park, Dowoo Kim. Conditional effects of open-street closed-circuit television (CCTV) on crime: A case from Korea. International Journal of Law, Crime and Justice. 2018; 53 ():9-24.
Chicago/Turabian StyleYongseol Jang; Dohyeong Kim; Junhwi Park; Dowoo Kim. 2018. "Conditional effects of open-street closed-circuit television (CCTV) on crime: A case from Korea." International Journal of Law, Crime and Justice 53, no. : 9-24.
Long-lasting insecticidal nets (LLINs) have been widely used as an effective alternative to conventional insecticide-treated nets (ITNs) for over a decade. Due to the growing number of field trials and interventions reporting the effectiveness of LLINs in controlling malaria, there is a need to systematically review the literature on LLINs and ITNs to examine the relative effectiveness and characteristics of both insecticide nettings. A systematic review of over 2000 scholarly articles published since the year 2000 was conducted. The odds ratios (ORs) of insecticidal net effectiveness in reducing malaria were recorded. The final dataset included 26 articles for meta-regression analysis, with a sample size of 154 subgroup observations. While there is substantial heterogeneity in study characteristics and effect size, we found that the overall OR for reducing malaria by LLIN use was 0.44 (95% CI = 0.41–0.48, p < 0.01) indicating a risk reduction of 56%, while ITNs were slightly less effective with an OR of 0.59 (95% CI = 0.57–0.61, p <0.01). A meta-regression model confirms that LLINs are significantly more effective than ITNs in the prevention of malaria, when controlling for other covariates. For both types of nets, protective efficacy was greater in high transmission areas when nets were used for an extended period. However, cross-sectional studies may overestimate the effect of the nets. The results surprisingly suggest that nets are less effective in protecting children under the age of five, which may be due to differences in child behavior or inadequate coverage. Compared to a previous meta-analysis, insecticide-treated nets appear to have improved their efficacy despite the risks of insecticide resistance. These findings have practical implications for policymakers seeking effective malaria control strategies.
Gi-Geun Yang; Dohyeong Kim; Anh Pham; Christopher John Paul. A Meta-Regression Analysis of the Effectiveness of Mosquito Nets for Malaria Control: The Value of Long-Lasting Insecticide Nets. International Journal of Environmental Research and Public Health 2018, 15, 546 .
AMA StyleGi-Geun Yang, Dohyeong Kim, Anh Pham, Christopher John Paul. A Meta-Regression Analysis of the Effectiveness of Mosquito Nets for Malaria Control: The Value of Long-Lasting Insecticide Nets. International Journal of Environmental Research and Public Health. 2018; 15 (3):546.
Chicago/Turabian StyleGi-Geun Yang; Dohyeong Kim; Anh Pham; Christopher John Paul. 2018. "A Meta-Regression Analysis of the Effectiveness of Mosquito Nets for Malaria Control: The Value of Long-Lasting Insecticide Nets." International Journal of Environmental Research and Public Health 15, no. 3: 546.
Sung Soo Byun; Jae Eun Lee; Dohyeong Kim; Jong Ii Na; Gi Geun Yang; Ju Ho Lee; A Yeon Kim; Ga Hee Kim; University of Texas at Dallas; Tottori University; WonKwang University; Sehan University; Chungbuk National University. Public-private Partnership for Operating Safety Experience and Education Center - A Comparative Analysis of the US, Canada, and Japan -. Crisis and Emergency Management: Theory and Praxis 2018, 14, 153 -173.
AMA StyleSung Soo Byun, Jae Eun Lee, Dohyeong Kim, Jong Ii Na, Gi Geun Yang, Ju Ho Lee, A Yeon Kim, Ga Hee Kim, University of Texas at Dallas, Tottori University, WonKwang University, Sehan University, Chungbuk National University. Public-private Partnership for Operating Safety Experience and Education Center - A Comparative Analysis of the US, Canada, and Japan -. Crisis and Emergency Management: Theory and Praxis. 2018; 14 (2):153-173.
Chicago/Turabian StyleSung Soo Byun; Jae Eun Lee; Dohyeong Kim; Jong Ii Na; Gi Geun Yang; Ju Ho Lee; A Yeon Kim; Ga Hee Kim; University of Texas at Dallas; Tottori University; WonKwang University; Sehan University; Chungbuk National University. 2018. "Public-private Partnership for Operating Safety Experience and Education Center - A Comparative Analysis of the US, Canada, and Japan -." Crisis and Emergency Management: Theory and Praxis 14, no. 2: 153-173.
Decision analysis tools and mathematical modeling are increasingly emphasized in malaria control programs worldwide to improve resource allocation and address ongoing challenges with sustainability. However, such tools require substantial scientific evidence, which is costly to acquire. The value of information (VOI) has been proposed as a metric for gauging the value of reduced model uncertainty. We apply this concept to an evidenced‐based Malaria Decision Analysis Support Tool (MDAST) designed for application in East Africa. In developing MDAST, substantial gaps in the scientific evidence base were identified regarding insecticide resistance in malaria vector control and the effectiveness of alternative mosquito control approaches, including larviciding. We identify four entomological parameters in the model (two for insecticide resistance and two for larviciding) that involve high levels of uncertainty and to which outputs in MDAST are sensitive. We estimate and compare a VOI for combinations of these parameters in evaluating three policy alternatives relative to a status quo policy. We find having perfect information on the uncertain parameters could improve program net benefits by up to 5–21%, with the highest VOI associated with jointly eliminating uncertainty about reproductive speed of malaria‐transmitting mosquitoes and initial efficacy of larviciding at reducing the emergence of new adult mosquitoes. Future research on parameter uncertainty in decision analysis of malaria control policy should investigate the VOI with respect to other aspects of malaria transmission (such as antimalarial resistance), the costs of reducing uncertainty in these parameters, and the extent to which imperfect information about these parameters can improve payoffs.
Dohyeong Kim; Zachary Brown; Richard Anderson; Clifford Mutero; Marie Lynn Miranda; Jonathan Wiener; Randall Kramer. The Value of Information in Decision-Analytic Modeling for Malaria Vector Control in East Africa. Risk Analysis 2016, 37, 231 -244.
AMA StyleDohyeong Kim, Zachary Brown, Richard Anderson, Clifford Mutero, Marie Lynn Miranda, Jonathan Wiener, Randall Kramer. The Value of Information in Decision-Analytic Modeling for Malaria Vector Control in East Africa. Risk Analysis. 2016; 37 (2):231-244.
Chicago/Turabian StyleDohyeong Kim; Zachary Brown; Richard Anderson; Clifford Mutero; Marie Lynn Miranda; Jonathan Wiener; Randall Kramer. 2016. "The Value of Information in Decision-Analytic Modeling for Malaria Vector Control in East Africa." Risk Analysis 37, no. 2: 231-244.
This study analyzes the effects of decoupling of telework on job satisfaction using the 2013 Federal Employee Viewpoint Survey. The research divides telework programs for public employees by two criteria: (a) whether or not federal agencies have officially adopted the program, and (b) whether or not public employees actually participate in the program. We find that both organizational adoption and employee participation in telework have a positive relationship with job satisfaction, and these results support the social exchange theory. We also observe that the effects of decoupling of telework on job satisfaction are more significant for female public employees than for male public employees. The results imply that female employees have the lowest levels of job satisfaction when agencies officially adopt telework but employees cannot utilize the program. However, male employees have the lowest levels of job satisfaction when they are unable to utilize a nonexistent telework program.
Kwang Bin Bae; Dohyeong Kim. The Impact of Decoupling of Telework on Job Satisfaction in U.S. Federal Agencies. The American Review of Public Administration 2016, 46, 356 -371.
AMA StyleKwang Bin Bae, Dohyeong Kim. The Impact of Decoupling of Telework on Job Satisfaction in U.S. Federal Agencies. The American Review of Public Administration. 2016; 46 (3):356-371.
Chicago/Turabian StyleKwang Bin Bae; Dohyeong Kim. 2016. "The Impact of Decoupling of Telework on Job Satisfaction in U.S. Federal Agencies." The American Review of Public Administration 46, no. 3: 356-371.
In spite of the increasing efforts to gather spatial data in developing countries, the use of maps is mostly for visualization of health indicators rather than informed decision-making. Various spatial tools can aid policymakers to allocate resources effectively, predict patterns in communicable or infectious diseases, and provide insights into geographical factors which are associated with utilization or adequacy of health services. In Bangladesh, the launch of District Health Information System 2, along with recent efforts to gather spatial data of facilities location, provides an interesting opportunity to study the current landscape and the potential barriers in advancing the use of spatial tools for informed decision making. This study assessed the current level of map usage and spatial tools for health sector planning in Bangladesh, focusing on investigating why map usage and spatial tools remained at a basic level for the purpose of health policy. The study design involved in-depth interviews, followed by an expert survey (n = 39) obtained through snowball sampling. Our survey revealed that assessing areas with shortage of community health workers emerged as the top most for basic map usage or primarily for visualization purpose, while planning for emergency and obstetric care services, and disease mapping was the most frequent category for intermediate and advanced map usage, respectively. Furthermore, we found lack of inter-institutional collaboration, lack of continuous availability of trained personnel, and lack of awareness on the use of geographic information system (GIS) as a decision-making tool as three most critical barriers in the current landscape. Our findings highlight the barriers in increasing the adoption of spatial tools for health policymaking and planning in Bangladesh.
Dohyeong Kim; Malabika Sarker; Priyanka Vyas. Role of spatial tools in public health policymaking of Bangladesh: opportunities and challenges. Journal of Health, Population and Nutrition 2016, 35, 1 -5.
AMA StyleDohyeong Kim, Malabika Sarker, Priyanka Vyas. Role of spatial tools in public health policymaking of Bangladesh: opportunities and challenges. Journal of Health, Population and Nutrition. 2016; 35 (1):1-5.
Chicago/Turabian StyleDohyeong Kim; Malabika Sarker; Priyanka Vyas. 2016. "Role of spatial tools in public health policymaking of Bangladesh: opportunities and challenges." Journal of Health, Population and Nutrition 35, no. 1: 1-5.
Sungchul Seo; Dohyeong Kim; Soojin Min; Christopher Paul; Young Yoo; Ji Tae Choung. GIS-based Association Between PM10 and Allergic Diseases in Seoul: Implications for Health and Environmental Policy. Allergy, Asthma & Immunology Research 2016, 8, 32 -40.
AMA StyleSungchul Seo, Dohyeong Kim, Soojin Min, Christopher Paul, Young Yoo, Ji Tae Choung. GIS-based Association Between PM10 and Allergic Diseases in Seoul: Implications for Health and Environmental Policy. Allergy, Asthma & Immunology Research. 2016; 8 (1):32-40.
Chicago/Turabian StyleSungchul Seo; Dohyeong Kim; Soojin Min; Christopher Paul; Young Yoo; Ji Tae Choung. 2016. "GIS-based Association Between PM10 and Allergic Diseases in Seoul: Implications for Health and Environmental Policy." Allergy, Asthma & Immunology Research 8, no. 1: 32-40.