South Coast Region Research Articles

GIS-Driven Method for Site Feasibility Assessment of Large-Scale Solar Thermal Seawater Desalination: An Australian Case Study

Concentrated solar power (CSP) plants can be coupled with seawater desalination via Multi-Effect Distillation (MED) by recovering the cycle’s ‘free’ waste heat. However, project viability, based on the payback period, is contingent upon systematic consideration of climate variability, topography, water resources, markets, and natural hazards. This study describes a data-driven method for screening and then selecting optimal sites in Australia by integrating a Geographic Information System (GIS), System Advisor Model (SAM), MATLAB program, and a Multi-Criteria Decision-Making (MCDM) model. Results for potential sites based on only climate, topography, water resources, markets, and infrastructure identify approximately 2.13×105 km2 of land are suitable, granularly mainly located in the north-west and the south coastal regions with high solar resources (average direct normal irradiance (DNI) > 6 ). These regions encompass 56,000 km2 and 25,100 km2 of suitable areas, respectively, with potential payback periods as low as 12.2 years and 14.0 years. Queensland's northern coastal regions also show promise with a potential payback period of 13.4 years, but the suitable area is only 2,070 km2 due to the marine protection areas in the eastern coastal zone. New South Wales faces hurdles due to topography and lower solar resources. Model results were consistent with the development of CSP installations in Australia, particularly, the Aurora facility in South Australia. This study provides a precise delineation of CSP-MED integration regions in Australia through the multi-dimensional analysis, offering insights into payback periods, and quantifying variable impacts on project geographical, technical, and economic feasibility.

Seasonal Variations in Physico- chemical Parameters of the Sediment of Thengapatnam Estuary, South-coastal Region of India

The tremendous biodiversity and ecological processes that depend on freshwater and marine environments are essential to human survival. The physicochemical parameters in both surface waters and sediments are important to understand estuarine dynamics. The present study was carried out to determine how the seasonal variation will affect the physicochemical parameters of sediments of five stations in Thengapatnam estuary. Sediment samples were collected for a period of one year from June 2014-May 2015 from five different sampling stations. The parameters such as pH, temperature, Nitrogen, Phosphorous, Potassium, Copper, Zinc, Iron and Manganese were analysed using standard procedures. The result expose that, soil sediment have high amount of potassium in all five stations. Sediment temperature varied from 25.7- 30.1°C. Hydrogen ion concentration ranged between 6.9 to 8.3, concentrations of nutrients viz. nitrate (2.4 – 6.4 mg/100g), phosphate (1.5 - 15.25 mg/100g) potassium (138 – 560 ppm) and concentration of metals like iron, zinc and manganese were found to be higher during monsoon season and lower during premonsoon seasons The overall findings highlight the need for a scientific solution to reduce the use of harmful chemicals and heavy metal contamination from the river system in order to preserve the biodiversity of freshwater and marine ecosystems.

Assessment of techno-economic feasibility of conservation agriculture planter for planting of soybean in south coastal region of Bangladesh

Assessment of techno-economic feasibility of conservation agriculture planter for planting of soybean in south coastal region of Bangladesh

Width undulation drives flow convergence routing in five flashy ephemeral river types across a dry summer subtropical region

AbstractDuring the last decade, meter‐resolution topo‐bathymetric digital elevation models (DEMs) have become increasingly utilized within fluvial geomorphology, but most meter‐scale geomorphic analyses are done on just one to a few rivers. While such analyses have contributed greatly to our collective understanding of river discharge‐topography interactions, which is applicable in both river restoration design and environmental flow regulation contexts, their generalizability across a range of river types remains largely unevaluated. This study assessed the dominance of a single hydro‐morphodynamic mechanism, flow convergence routing, in 35 ephemeral rivers divided among five river types in California's South Coast region by answering five questions. Geomorphic covariance structure (GCS) analysis was performed on longitudinal standardized width and standardized, detrended bed elevation spatial series from meter‐resolution DEMs. All river types had coherent, multi‐scalar structures of longitudinal fluvial topography, implicating a process‐morphology link. GCS metrics revealed that landform patterning was consistent with the requirements of the morphodynamic mechanism of flow convergence routing. Thus, that process was found to be a broadly relevant channel altering mechanism among sites, but its relationship with water stage differed between river types. Specifically, river types in unconfined valleys exhibited a strong bankfull width control over base flow bed undulations, with no obvious flood‐stage control over bankfull landform patterning. River types in partially confined valleys also exhibited strong bankfull width control over base flow bed undulations, but their bankfull landform patterns appear to have coalesced with coherent width and bed elevation undulations during flood flows. Finally, metrics for confined river types showed that it takes higher magnitude, less frequent floods to set their coherent width and bed elevation undulations, but even these channels do exhibit flow convergence routing when given enough discharge for sufficient duration.

Distribution of Plasmodium falciparum K13 gene polymorphisms across transmission settings in Ghana

Malaria is a significant global health concern, with a majority of cases in Sub-Saharan African nations. Numerous antimalarial drugs have been developed to counter the rampant prevalence of Plasmodium falciparum malaria. Artemisinin-based Combination Therapy (ACT) has served as the primary treatment of uncomplicated malaria in Ghana since 2005. However, a growing concern has emerged due to the escalating reports of ACT resistance, particularly in Southeast Asia, and its encroachment into Africa. Specifically, mutations in the Kelch propeller domain on chromosome 13 (Pfk13) have been linked to ACT resistance. Yet, our understanding of mutation prevalence in Africa remains largely uncharted. In this study, we compared Pfk13 sequences obtained from 172 P. falciparum samples across three ecological and transmission zones in Ghana. We identified 27 non-synonymous mutations among these sequences, of which two of the mutations, C580Y (found in two samples from the central region) and Y493H (found in one sample from the north), had previously been validated for their association with artemisinin resistance, a phenomenon widespread in Southeast Asia. The Pfk13 gene diversity was most pronounced in the northern savannah than the central forest and south coastal regions, where transmission rates are lower. The observed mutations were not significantly associated with geographical regions, suggesting a frequent spread of mutations across the country. The ongoing global surveillance of artemisinin resistance remains pivotal, and our findings provides insights into the potential spread of resistant parasites in West Africa. Furthermore, the identification of novel codon mutations in this study raises their potential association to ACT resistance, warranting further investigation through in vitro assays to ascertain their functional significance.

Reference evapotranspiration projections in Southern Spain (until 2100) using temperature-based machine learning models

This study firstly examines the performance of temperature-based machine learning models for estimating reference evapotranspiration (ET0), an essential parameter for water management in agriculture, ecosystems, and hydrology. Data from 122 Automated Weather Stations (AWS) across different regions in Southern Spain has been studied and four machine learning models have been developed and assessed: Multilayer Perceptron (MLP), Extreme Learning Machine (ELM), Random Forest (RF), and Support Vector Machine (SVM). The results indicate that all machine learning models outperform the traditional Hargreaves-Samani method in estimating ET0. Specifically, ELM performed, on average, as the best in terms of Global Performance Indicator (GPI) for those locations situated in the first region (GPI = 0.1860), while MLP outperformed the rest for those located in the second (GPI = 0,1162). Besides, the configuration using minimum, mean and maximum air temperature (Tx, Tm, Tn, respectively), the diurnal temperature range (DTR), and Extraterrestrial solar radiation features (Ra) was found to be the fittest for the second region (GPI = 0.0734) and that using Tx, Tn, Tm and Ra in the first one in (GPI = 0.1938). Once the models were validated, they were applied to future 5 km gridded projection datasets, using different Representative Concentration Pathway (RCP) scenarios, in order to estimate ET0 up to the year 2100. In general, the projected ET0 was found to increase significantly in the future, with Mann Kendall Z values that ranged from 7.11 to 10.37 in the RCP4.5 scenario and from 10.84 to 12.57 in the RCP8.5 scenario. Thus, the ET0 is expected to increase from 1300 to 1600 mm to 1500–1700 mm using the RCP4.5 and to 1900 mm using the RCP8.5 in Andalusia, with the highest increase occurring in the south coastal region. This study provides important insights into the application of machine learning models to estimate ET0 and its implications for future water management strategies.

Spatio-temporal evolution and the driving factors of municipal solid waste in Chinese different geographical regions between 2002 and 2020

Urbanization and economic development have contributed to the rapid and massive generation of municipal solid waste (MSW) and significant changes in spatial patterns, which are becoming a serious pollution problem. Previously, macroscopic studies on the driving factors of MSW have been widely conducted at the national level, but the exploration of the driving factors in different geographical regions on a regional scale has not received much attention in the previous literature. This study is based on China, spatial patterns were analyzed using spatial autocorrelation and movement of center of gravity, and time series clustering was used to explore temporal trends. Subsequently, Geodector was adopted to quantify the relationship between MSW generation and driving factors. The results of the study are as follows: 1) By analyzing the spatial pattern of MSW, this study found that MSW showed a spatial pattern of high in the southeast and low in the northwest during 2002–2020, and its separating line was the same as the Hu-line; the average center of gravity of MSW generation in the past 20 years was always located in Henan Province and shifted southward by 339.7 km. 2) The local spatial autocorrelation analysis results showed that the Low-Low clusters moved from southeast to northwest from 2002 to 2020, increasing to 20 cities. High-High clusters mainly appeared in the East Coast and South Coast regions, increasing from 8 to 17 cities in the last 20 years. 3) The analysis of driving factors by Geodetector revealed that Urbanization is the most critical dimension factor influencing MSW generation, with the strongest impact on the East Coast region. The next dimension is Economy, which has the most significant impact on MSW generation in the North West region. Energy is the third dimension that influences MSW generation, with the greatest impact on the North Coast region. The results of this study reveal trends in the spatial and temporal distribution of MSW in different geographic regions of China over the past 20 years and the impact of their driving factors, which can help the Chinese government take action to control MSW in a site-specific manner.

Forecasting and meta-features estimation of wastewater and climate change impacts in coastal region using manifold learning

South Asia's coastlines are the most densely inhabited and economically active ecosystems have already begun to shift due to climate change. Over the past century, climate change has contributed to a gradual and considerable rise in sea level, which has eroded shorelines and increased storm-related coastal flooding. The differences in estuary water quality over time, both seasonally and annually, have been efficiently controlled by changes in stream flow. Assessment requires digitized analytical platforms to lower the risk of catastrophes associated with climate change in coastal towns. To predict future changes in an area's vulnerability and waste planning decisions, a prospective investigation requires qualitative and quantitative scenarios. The paper concentrates on the development of a forecasting platform to evaluate the climate change and waste water impacts on the south coastal region of India. Due to the enhancement of Digitization, a multi-model ensemble combined with manifold learning is implemented on the multi-case models influencing the uncertainty probability rate of 23% and can be ignored with desired precaution on the coastal environmental. Because Manifold Learning Analysis results cannot be utilized directly in wastewater management studies because of their inherent biases, a statistical bias correction and meta-feature estimation have been implemented. Within the climate-hydrology modeling chain, the results demonstrate a wide range of expected changes in water resources in some places. Experimental statistics reveal that the forecasted rate of 91.45% will be the better choice to reduce the uncertainty of climatic change and wastewater management.

The Cytotoxic and Anti-tumor Potential of Methanolic Extracts of Indian Marine Isolates in HCT116 Colorectal Cancer Cells.

The marine environment is a rich source of biodiversity, with several of its inhabitants producing unique and physiologically active substances. The use of marine bacterial-derived chemicals over traditional pharmaceuticals is gaining traction due to their larger variety of targets and modes of action. To circumvent the drawbacks of current therapy options, researchers have looked to marine microbes for novel and effective anti-cancer compounds. In this study, we examine one of India's least-examined coastal areas in search of novel bacterial sources of anti-cancer chemicals. Soil sediments from the Indian south coast region were collected and microbes were isolated using standard methods. The microorganisms were identified using 16s rRNA sequencing, and cytotoxic extracts were further examined using GC-MS. MTT, clonogenic, and spheroid tests assessed the extract's cytotoxicity and anti-tumor efficacy. Our results indicated that the bacterial isolates with potent cytotoxic activity were Bacillus drentensis and Bacillus haikouensis and had 10 and 12 potent anti-cancer and other bioactive compounds. The extracts had an IC50 of 30.08 and 109.4 μg/ml in the HCT116 cell line, respectively, and strongly inhibited colony formation. The cell cycle analysis indicated that the extract induced cell death as indicated by the subG0 peak. We also showed that these methanolic extracts induced toxicity in a 3D spheroid model indicating a strong anti-tumor activity. Furthermore, we performed molecular docking for the compounds present in the extracts to VEGFR and nucleolin and found that ergostane had favorable binding energy only to VEGFR. The results indicate that the ME of B. drentensis and B. haikouensis contains potent anti-cancer compounds to exhibit cytotoxic and anti-tumor activity in colorectal cancer cells.

Manajemen Pembelajaran Kurikulum Merdeka di Taman Kanak-kanak Khalifah Carocok Anau Kabupaten Pesisir Selatan

The purpose of this research is to find out how the independent curriculum learning management is managed in the Khalifah Carocok Anau Kindergarten in the South Coastal Region. This researcher is a participant in a qualitative study that describes the planning, implementation, and assessment of the independent curriculum in kindergarten. Information is collected from various sources, including observation, interviews, and documentation. To process all the collected data used data analysis, especially descriptive analysis. Based on research findings, the management of independent curriculum learning includes planning, implementation, and assessment processes. Learning planning consists of annual programs, semester programs, and teaching modules. Where co-curricular, extra-curricular and intra-curricular activities are used to complete the learning process. Every Monday to Thursday, students take part in intracurricular learning, and every Saturday students take part in extracurricular learning. For Friday imtaq-based lessons. In one semester, two learning projects are completed. Different content, products and results are used to carry out learning in a differentiated way. The implementation of independent curriculum learning is carried out by giving independence to children to carry out activities. Assessment of learning emphasizes the process not the result. The assessment process is carried out in the form of early learning activities, during the learning process and at the end of learning activities

Public sentiment analysis on urban regeneration: A massive data study based on sentiment knowledge enhanced pre-training and latent Dirichlet allocation.

Public satisfaction is the ultimate goal and an important determinant of China's urban regeneration plan. This study is the first to use massive data to perform sentiment analysis of public comments on China's urban regeneration. Public comments from social media, online forums, and government affairs platforms are analyzed by a combination of Natural Language Processing, Knowledge Enhanced Pre-Training, Word Cloud, and Latent Dirichlet Allocation. (1) Public sentiment tendency toward China's urban regeneration was generally positive but spatiotemporal divergences were observed; (2) Temporally, public sentiment was most negative in 2020, but most positive in 2021. It has remained consistently negative in 2022, particularly after February 2022; (3) Spatially, at the provincial level, Guangdong posted the most comments and Tibet, Shanghai, Guizhou, Chongqing, and Hong Kong are provinces with highly positive sentiment. At the national level, the east and south coastal, southwestern, and western China regions are more positive, as opposed to the northeast, central, and northwest regions; (4) Topics related to Shenzhen's renovations, development of China's urban regeneration and complaints from residents are validly categorized and become the public's key focus. Accordingly, governments should address spatiotemporal disparities and concerns of local residents for future development of urban regeneration.

PHU YEN MARINE TOURISM SPACE – EXPERIENCE ABOUT MARINE TOURISM PLANNING

Phu Yen is one of eight provinces of the South Central Coast region, with much potential for tourism development, especially the advantages of marine tourism. It can be said that local marine tourism is a “late birth” compared to other localities in the region, but the development of Phu Yen marine tourism over the past time has shown a clear orientation in association with spatial planning of coastal areas. The article analyzes the potentials and current status of Phu Yen marine tourism in association with coastal space, thereby clarifying existing problems in the development of local marine tourism space. The paper also offers some solutions to develop Phu Yen marine tourism space. With that goal, the study examined Phu Yen marine tourism resource sites combined with an analysis of the current status of the spatial development of tourism in the local coastal areas. The results have shown many experiences in developing marine tourism associated with coastal space, which requires clear orientation and specific planning.

Role of the e-exhibition industry in the green growth of businesses and recovery

In this paper, a survey and two multi-attribute decision-making (MADM) models have been employed to explore critical success factors of e-exhibition in 30 Chinese provinces that is divided into 8 different regions. The research findings showed that in China, the most important success factors of e-exhibition to have green economic recovery are the presence of International collaboration (0.592), green culture (0.490), and visitor’s attitude (0.439). Furthermore, “Beijing and Tianjin” is the most ideal region to promote e-exhibition in China. South Coast region ranked in second place as the most appropriate region for e-exhibition. The least ideal region of China for e-exhibition is the Southwest region that is less developed compared to other regions of China. The major practical policies are the enhancement of international cooperation to hold an e-exhibition, use of electronic exhibition capacities (synchronous and asynchronous) and creating social sustainability awareness through the media and social network.

Steering Straight: Adapting suicide risk safety planning as a prevention-focused self-management resource for the Australian farming community.

This paper draws on the principles of suicide risk safety planning to co-design a farming community resource for preventing and managing risks to mental health. This project was undertaken in the Great South Coast Region of Victoria, Australia. A working group (n= 6-8) from the Victorian farming community contributed to the iterative co-design and co-production of Steering Straight: My plan to keep on track. Twenty-four members of the farming community pilot tested Steering Straight. Co-design to develop, pilot and refine the resource with working group and target farming community. Steering Straight was viewed positively by the farming community as a tool that prompts prioritising well-being; encourages reflection, planning and concrete steps towards taking action; helps set and meet personal goals; is simple and practical; and identifies pathways to support. Most participants (94%) completed Steering Straight on their own, taking approximately 15-30 min to create their personalised plan. Questions most likely to be filled in related to recognising personal signs of deteriorating well-being and listing and planning enjoyable activities. A majority of participants (67%) kept a hard copy of their Steering Straight plan on hand to refer back to, while 78% expressed a preference for a digital version. The co-design and co-production process resulted in a tailored prevention-focused resource that was accepted and valued by the farming community.

PRELIMINARY ASSESSMENT OF THE EFFECTIVE APPLICATION OF SOLUTIONS TO IMPROVE WORKING ENVIRONMENT IN GARMENT ENTERPRISE

The article introduces the study on applying some solutions to improve the working environment at a garment enterprise in the South Central Coast region and the economic-technical efficiency of the application of those solutions. After assessing the current status of the working environment and workers’ health of the enterprise, the authors have advised enterprises to apply a number of solutions to improve working conditions such as establishing an occupational safety and health (OSH) management system; designing anti-heat ventilation system by exhaust fan system creating negative pressure in the workshop and cooling by Cooling Pad andre-organizing the lighting system. After more than a year of implementing these solutions, when re-evaluating, they all give positive results: reducing the temperature by 3-5.50 C, dust concentration from 0.15-0.45 mg/m3 , increasing light intensity levels to 150-280 lux. As a result, the company’s revenue also increased.

Impact of hepatitis B vaccination programs in Vietnam evaluated by estimating HBsAg prevalence

BackgroundVietnam introduced a 3-dose hepatitis B (HBV) immunization program comprising 1 dose immediately after birth and 2 or 3 in infancy in the past 20 years, but the impact of the vaccine has not been systematically evaluated. Thus, we conducted this survey aiming to estimate the age-specific chronic HBV prevalence in the general population and to evaluate HBV immunization effectiveness. MethodsPopulation-based, four-stage cluster sampling was used in the South Central Coast region of Vietnam. The point-of-care Determine rapid test was used to assess hepatitis B surface antigen (HBsAg) positivity. ResultsA total of 2,075 samples were included in the study. HBsAg prevalence was significantly higher among adults aged 20–39 years than in the population aged 1–19 years (8.0% [95% confidence interval 5.0–12.0] vs. 2.0% [95% confidence interval 1.0–6.0], p<0.01). HBsAg prevalence decreased after implementation of the 3-dose vaccination schedule during infancy from 1997 to 2002, whereas the change in prevalence after implementation of the birth dosing was not significant. A slight increase in HBsAg prevalence was observed for the cohort born in 2011, 2012, and 2013, when there was a vaccine shortage and media reports of immunization resistance. ConclusionsThis is the first population-based assessment of the introduction of the HBV vaccine in Vietnam performed by estimating the HBsAg prevalence across a wide range of ages. The results showed that the HBV immunization policy effectively reduces HBsAg prevalence in general, although birth dosing of the vaccine and low immunization coverage should be carefully monitored.

Depicting the Underground River Systems in Karst Mountains of Buayan and Ayah Subdistricts Using GGMPlus Data and Springs Distribution

The karst mountain area in Buayan and Ayah subdistricts is a mountainous area that stretches from North to South and ends in the South coast region. In this area, many springs are found which are a source of clean water for residents. The existence of springs in the area is an indicator of the existence of underground rivers flowing under the mountainous area, this is also reinforced by the presence of interconnected caves and the existence of river flows in these caves. Analysis the presence of underground river flows in the Karst mountain area in the study area can be identified by looking at the type of rock formations that dominate the area. The density contrast shown through the residual gravity data also shows changes in rock formations related to the presence of water sources in the study area. GGMPlus data was obtained from forward modeling in order to get a residual map. This study shows that rock formations in the Karst area in the study area conform to the topographical shape.

Survey of bats on the south coast and ranges of the Shoalhaven region in New South Wales

ABSTRACT Surveys for echolocating bats were conducted primarily by harp trapping and echolocation detection in the Shoalhaven region on the south coast region of New South Wales from 1989 to 2021. A total of 399 sites were surveyed by harp trapping and 175 sites through echolocation call detection. Mist nets were used to catch bats at one site in 1989. The survey covered a range of vegetation communities at altitudes that ranged from near sea level to 770m asl. One hundred and seventy-four harp trap sites were within conservation reserves/state forests and the rest were on freehold land. Each site was trapped from 1 - 4 nights for a total of 666 harp trap nights. Sites surveyed electronically were sampled between 1- 2 nights for a total of 230 samples of either 30 minutes duration or an entire night. A total of 18 species were captured in harp traps during the survey. The Yellow-bellied Sheath-tailed Bat Saccolaimus flaviventris was observed once during spotlight surveys and detected electronically. The White-striped Free-tailed Bat Austronomus australis was heard echolocating at night and detected electronically. The Little Bent-wing Bat Miniopterus australis was only detected electronically. The highest capture rate was in Jerrawangala National Park where 38 animals consisting of five species were trapped in one trap on a single night. The highest species richness and density was found in tall open forests, especially those along the Illawarra escarpment. Analysis of abundances found that the Little Forest Bat Vespadelus vulturnus was the most common species accounting for 45% of animals trapped. Seven species currently listed under the Biodiversity Conservation Act (2016) were caught and another detected electronically. Those trapped were the Large-eared Pied Bat Chalinolobus dwyeri, Eastern Falsistrelle Falsistrellus tasmaniensis, Golden-tipped Bat Phoniscus papuensis, Eastern Bent-wing Bat Miniopterus orianae oceanensis, Eastern Coastal Free-tailed Bat Micronomus norfolkensis, Large-footed Myotis Myotis macropus and Greater Broad-nosed Bat Scoteanax rueppellii. In addition, the regionally rare Ride’s Free-tailed Bat Ozimops ridei was trapped. The survey provided the first live specimens of Eastern Forest Bat V. pumilus in the south coast region, a range extension of some 260km south of the previous accepted records in the Watagan Mountains. The capture of a Large-eared Pied Bat at Meroo NP represents a southern range extension for this species. Morphometric data are presented plus comments on species habitat preference.

The impact of public sector employment on regional economic activity: countering seasonal fluctuations and economic shocks

ABSTRACT This research documents multidimensional facets of public value provided by public sector employment in regional Australia. Evidence and estimates of the contribution and impact of public sector employment to regional labour markets and economic activity are documented for the Illawarra, South Coast and Capital regions of New South Wales, Australia. Using a mixed methods approach, results presented illustrate that public sector employment embodies a significantly larger proportion of total employment and economic activity in most regional labour markets compared to Greater Sydney or Australia in general. Other analyses reveal both counter-seasonal and countercyclical contributions of public sector income and spending to regional economic activity. The main finding of this research is that public sector employment provides a stable foundation to regional economies that are otherwise strongly influenced by seasonal patterns associated with tourism and agriculture. The importance of public sector employment to the regional economies has been amplified in recent crisis periods associated with large scale bushfires and COVID-19.

Comparison between a rapid diagnostic test and dried blood spot-based immunoassay for hepatitis B surface antigen testing: Performance and cost implications in a population-based serosurvey in Vietnam

ObjectivesThis study aimed to determine the agreement between a rapid diagnostic test (RDT) and a dried blood spot (DBS)-based electrochemiluminescence immunoassay (ECLIA) of hepatitis B surface antigen and to compare the costs of conducting serosurveys using RDTs and DBS in a field setting. MethodsA serosurvey was conducted in the South Central Coast region of Vietnam in May 2019. Participants aged 1-39 years were recruited using a four-stage random sampling method and tested for hepatitis B surface antigen using an RDT kit (Alere Determine) and a DBS-based ECLIA. The agreement between the RDT and the DBS-based ECLIA was assessed using cross-tabulation and Cohen kappa. Cost data were categorized by input (personnel, transportation, field consumables, laboratory consumables, and capital item/overhead) and survey phase (survey preparation, data/biospecimen collection, laboratory testing, and coordination). ResultsA total of 2072 participants were analyzed. There was a 99% agreement between the RDT and the DBS-based ECLIA results, with a Cohen kappa of 0.9. The estimated cost of conducting a serosurvey by DBS was UD $75,291, whereas RDT was $53,182. ConclusionRDTs and DBS-based ECLIA provide test results with high agreements. RDTs are a better option in terms of cost, whereas the DBS-based ECLIA may be useful when evaluating multiple infectious diseases.