Free Software Platform Research Articles

Migration from Epi Info to District Health Information Software 2 for Vaccine-Preventable Disease Surveillance - World Health Organization African Region, 2019-2023.

High-quality vaccine-preventable disease (VPD) surveillance data are critical for timely outbreak detection and response. In 2019, the World Health Organization (WHO) African Regional Office (AFRO) began transitioning from Epi Info, a free, CDC-developed statistical software package with limited capability to integrate with other information systems, affecting reporting timeliness and data use, to District Health Information Software 2 (DHIS2). DHIS2 is a free and open-source software platform for electronic aggregate Integrated Disease Surveillance and Response (IDSR) and case-based surveillance reporting. A national-level reporting system, which provided countries with the option to adopt this new system, was introduced. Regionally, the Epi Info database will be replaced with a DHIS2 regional data platform. This report describes the phased implementation from 2019 to the present. Phase one (2019-2021) involved developing IDSR aggregate and case-based surveillance packages, including pilots in the countries of Mali, Rwanda, and Togo. Phase two (2022) expanded national-level implementation to 27 countries and established the WHO AFRO DHIS2 regional data platform. Phase three (from 2023 to the present) activities have been building local capacity and support for country reporting to the regional platform. By February 2024, eight of 47 AFRO countries had adopted both the aggregate IDSR and case-based surveillance packages, and two had successfully transferred VPD surveillance data to the AFRO regional platform. Challenges included limited human and financial resources, the need to establish data-sharing and governance agreements, technical support for data transfer, and building local capacity to report to the regional platform. Despite these challenges, the transition to DHIS2 will support efficient data transmission to strengthen VPD detection, response, and public health emergencies through improved system integration and interoperability.

OXREF: Open XR for Education Framework

Extended reality (XR), which encompasses virtual reality (VR), augmented reality (AR), and mixed reality (MR), offers powerful affordances for improving teaching and learning experiences in a post-pandemic world. Increasingly, many governments and institutions around the world are making major investments in XR technologies to prepare education systems for the future. However, many of these investments remain isolated pilot projects which, while they attest to the potential of XR in education, are unlikely to be scaled up due to lack of sustainability and collaboration. Based on literature and empirical evidence, I have identified major barriers to the wider adoption of XR in education, including the lack of (a) open content, tools, and skills; (b) sound pedagogy and instructional design; and (c) scalability and sustainability. As a potential solution, I introduce the Open XR for Education Framework (OXREF), an empirical framework that proposes a holistic solution to XR object creation, implementation, and deployment, while covering pedagogical, technological, and policy perspectives. The contribution of the OXREF is its ability to build fit-for-purpose XR experiences in a scalable, sustainable, and collaborative manner while promoting openness, accessibility, equity, and reuse. The novelty of the proposed framework is its use of open educational resources (OER), open educational practices (OEP), as well as free and open-source software (FOSS) tools and platforms. Its cloud-based infrastructure and open licenses support viable operationalization strategies that can be implemented by educational institutions and governments.

Probabilistic Planning of Distribution Networks With Optimal DG Placement Under Uncertainties

This research paper presents an efficient methodology for distribution network planning under an uncertain environment. As an extension of our previous work presented at the ECCE Asia 2021 conference, here optimal placement and sizing of Renewable Energy Sources (RES)-based Distributed Generations (DGs) are determined considering the generation and load uncertainties. In addition, the optimal tap settings of off-load tap changing transformers present in a network are also determined. Probabilistic non-linear optimization is solved with a sensitivity-based technique to minimize the distribution network losses and improve its voltage stability. The proposed methodology is implemented on standard test systems like the IEEE 69 bus and the Indian 85 bus networks. Further, to determine its real-world functionality, the methodology is tested on a practical radial distribution network of 88 buses present in a remote Froan island of Norway. When compared with existing techniques, the proposed methodology provides much more efficient network planning solutions with lesser power losses. Developed on free and open-source software platforms, it also provides a reliable and cost-effective alternative to network operators to determine their network robustness.

TurnoveR: A Skyline External Tool for Analysis of Protein Turnover in Metabolic Labeling Studies.

In spite of its central role in biology and disease, protein turnover is a largely understudied aspect of most proteomic studies due to the complexity of computational workflows that analyze in vivo turnover rates. To address this need, we developed a new computational tool, TurnoveR, to accurately calculate protein turnover rates from mass spectrometric analysis of metabolic labeling experiments in Skyline, a free and open-source proteomics software platform. TurnoveR is a straightforward graphical interface that enables seamless integration of protein turnover analysis into a traditional proteomics workflow in Skyline, allowing users to take advantage of the advanced and flexible data visualization and curation features built into the software. The computational pipeline of TurnoveR performs critical steps to determine protein turnover rates, including isotopologue demultiplexing, precursor-pool correction, statistical analysis, and generation of data reports and visualizations. This workflow is compatible with many mass spectrometric platforms and recapitulates turnover rates and differential changes in turnover rates between treatment groups calculated in previous studies. We expect that the addition of TurnoveR to the widely used Skyline proteomics software will facilitate wider utilization of protein turnover analysis in highly relevant biological models, including aging, neurodegeneration, and skeletal muscle atrophy.

Simulating electron-excited energy dispersive X-ray spectra with the NIST DTSA-II open-source software platform.

NIST DTSA-II is a free, open access, and fully-documented comprehensive software platform for electron-excited X-ray microanalysis with energy dispersive spectrometry (EDS), including tools for quantification, measurement optimization, and spectrum simulation. EDS simulation utilizes a Monte Carlo electron trajectory simulation that includes characteristic and continuum X-ray generation, self-absorption, EDS window absorption, and energy-to-charge conversion leading to peak broadening. Spectra are simulated on an absolute basis considering electron dose and spectrometer parameters. Simulated and measured spectra agree within ± 25% relative for K-shell and L-shell characteristic X-ray peaks from 1 to 11 keV, while the predicted M-shell intensity was found to exceed the measured value by a factor of 1.4-2.2 from 1 to 3 keV. The X-ray continuum (bremsstrahlung) intensity agreed within ± 10% over the photon energy range from 1 to 10 keV for elements from boron to bismuth. Simulated spectra can be used to develop analytical strategy, such as assessing detection of trace constituents.

A Study in Performing Big Data Analytics with Limited Resources

Data analytics are usually the purview of large organizations with significant human and computational resources. The purpose of the article is to identify how organizations with limited resources, including limited computing power and bandwidth, can carry out meaningful data analytics at a granularity that fits their specific needs. This paper presents a case study in creating and maintaining a COVID dashboard for a 5-county area in the Panhandle of Florida, using only free software and publication platforms. Results of this study are informative for any local or regional entity needing focused data analytics.

Evolving PDC curriculum and tools: A study in responding to technological change

Much has changed about parallel and distributed computing (PDC) since the author began teaching the topic in the late 1990s. This paper reviews some of the key changes to the field and describes their impacts on his work as a PDC educator. Such changes include: the availability of free implementations of the message passing interface (MPI) for distributed-memory multiprocessors; the development of the Beowulf cluster; the advent of multicore architectures; the development of free multithreading languages and libraries such as OpenMP; the availability of (relatively) inexpensive manycore accelerator devices (e.g., GPUs); the availability of free software platforms like CUDA, OpenACC, OpenCL, and OpenMP for using accelerators; the development of inexpensive single board computers (SBCs) like the Raspberry Pi, and other changes. The paper details the evolution of PDC education at the author's institution in response to these changes, including curriculum changes, seven different Beowulf cluster designs, and the development of pedagogical tools and techniques specifically for PDC education. The paper also surveys many of the hardware and software infrastructure options available to PDC educators, provides a strategy for choosing among them, and provides practical advice for PDC pedagogy. Through these discussions, the reader may see how much PDC education has changed over the past two decades, identify some areas of PDC that have remained stable during this same time period, and so gain new insight into how to efficiently invest one's time as a PDC educator.

Imaging and printing in plastic and reconstructive surgery part 1: established techniques

Background: An increasing number of reconstructive surgeons are using modern imaging technologies for preoperative planning and intraoperative surgical guidance. Conventional imaging modalities such as CT and MRI are relatively affordable and widely accessible and offer powerful functionalities. In the first of a two-part series, we evaluate established three-dimensional (3D) imaging and printing techniques based on CT and MRI used in plastic and reconstructive surgery.
 Method: A review of the published English literature dating from 1950 to 2017 was taken using databases such as PubMed, MEDLINE®, Web of Science and EMBASE.
 Result: In plastic and reconstructive surgery, the most commonly used, free software platforms are 3D Slicer (Surgical Planning Laboratory, Boston, MA, USA) and OsiriX (Pixmeo, Geneva, Switzerland). Perforator mapping using 3D-reconstructed images from computed tomography angiography (CTA) and magnetic resonance angiography (MRA) is commonly used for preoperative planning. Three-dimensional volumetric analysis using current software techniques remains labour-intensive and reliant on operator experience. Three-dimensional printing has been investigated extensively since its introduction. As more free open-source software suites and affordable 3D printers become available, 3D printing is becoming more accessible for clinicians.
 Conclusion: Numerous studies have explored the application of 3D-rendered conventional imaging modalities for perforator mapping, volumetric analysis and printing. However, there is a lack of comprehensive review of all established 3D imaging and printing techniques in a language suitable for clinicians.

RITI solución híbrida de PBX virtuales con aprovisionamiento automático en la nube

Although telephony over IP protocol has more than a decade among us, the ubiquity of the Internet, new open hardware technologies, free software and cloud platforms invite us to rethink a solution in this new context. As such a solution is proposed in this project to RITI, made up of a small team to be installed in customer premises and an automatic provisioning system and telephone switching in the cloud. The main challenge for obtaining such a product was the large number of hardware and software components to be integrated, passing points as diverse as a Raspberry with its Grandstream interface adapter, Asterisk with its trunk and protocol contexts, platforms such as AWS and Docker. It is important to highlight that the stated objectives were achieved, obtaining a functional, resilient and scalable solution where complexity is centralized in the components hosted in the cloud. In this way, the benefits of virtualization and consolidation in the cloud have been extended to telephony in recent years. Finally, all the software components of the system are either free open source projects, or original developments by the authors of the same.

MP63-04 DEVELOPING A FREE THREE-DIMENSIONAL TOOL FOR KIDNEY STONES’ SURGICAL PLANNING : CALCULATOR

You have accessJournal of UrologyStone Disease: Surgical Therapy VI (MP63)1 Apr 2020MP63-04 DEVELOPING A FREE THREE-DIMENSIONAL TOOL FOR KIDNEY STONES’ SURGICAL PLANNING : CALCULATOR Frederic Panthier*, Steeve Doizi, Laurent Berthe, and Olivier Traxer Frederic Panthier*Frederic Panthier* More articles by this author , Steeve DoiziSteeve Doizi More articles by this author , Laurent BertheLaurent Berthe More articles by this author , and Olivier TraxerOlivier Traxer More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000000938.04AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Flexible ureteroscopy has gained in popularity for kidney stone treatment. However, operative time may be variable according to the stone burden. We aimed to develop a three-dimensional (3D) tool for kidney stones’ surgical planning. METHODS: 3DSlicer is a free open-source software platform for medical image computing (DICOM) and 3D visualization. Both MATLAB and Python scripting are available to develop new modules, using the “Extension Developing tool”. Major developing criteria were: suitable for CT-scan DICOM series, definition of a region of interest (ROI), stone single- or multiple-detection based on Hounsfield Units, 3D visualization. Minor criteria were expected duration of lithotripsy based on laser source (Holmium:YAG or Superpulse Thulium Laser Fiber), core-diameter laser fibers and laser settings. RESULTS: CALCULator is a Python scripted module, available in 3DSlicer. Before using it, definition of a ROI is required with “Crop Volume” module. ROI is adjustable upon axial, sagittal and coronal views of a non-enhanced CT-scan DICOM series. From ROIs, CALCULator defines an adjustable segmentation based on thresholds to detect stones. « Split islands into segments » option is useful in case of multiple stones, but requires a minimal size criteria (voxel). 3D view is optional in order to maximize computing time. Final view contains axial, sagittal and coronal views, with segment’s volume and lithotripsy duration among chosen laser settings. Figure 1 shows a clinical example of a single kidney stone measurement and expected lithotripsy duration among chosen laser settings. CONCLUSIONS: CALCULator is a free 3DSlicer module that provides stones volumes and expected lithotripsy duration among laser settings, based on segmentation principle with CT-scan DICOM series. Surgical planification should be useful in kidney stone procedures. Source of Funding: French Association of Urology research grant © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue Supplement 4April 2020Page: e955-e955 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Frederic Panthier* More articles by this author Steeve Doizi More articles by this author Laurent Berthe More articles by this author Olivier Traxer More articles by this author Expand All Advertisement PDF downloadLoading ...

SlicerVR for Medical Intervention Training and Planning in Immersive Virtual Reality.

Virtual reality (VR) provides immersive visualization that has proved to be useful in a variety of medical applications. Currently, however, no free open-source software platform exists that would provide comprehensive support for translational clinical researchers in prototyping experimental VR scenarios in training, planning or guiding medical interventions. By integrating VR functions in 3D Slicer, an established medical image analysis and visualization platform, SlicerVR enables virtual reality experience by a single click. It provides functions to navigate and manipulate the virtual scene, as well as various settings to abate the feeling of motion sickness. SlicerVR allows for shared collaborative VR experience both locally and remotely. We present illustrative scenarios created with SlicerVR in a wide spectrum of applications, including echocardiography, neurosurgery, spine surgery, brachytherapy, intervention training and personalized patient education. SlicerVR is freely available under BSD type license as an extension to 3D Slicer and it has been downloaded over 7,800 times at the time of writing this article.

Comparison of free software platforms for the calculation of the 90% confidence interval of f2 similarity factor by bootstrap analysis

IntroductionThe calculation of the 90% confidence interval of f2 based on the bootstrap methodology has been proposed and accepted by the main regulatory authorities when the dissolution data shows excessive variability. Different free software platforms allow the calculation of the 90% CI of f2 by means of bootstrapping. Their use in regulatory submissions is growing, but divergent results have been observed between the available software platforms. Therefore, the objective of this work is to analyze the characteristics of these software platforms and evaluate their results. Methods and materialsHighly variable in vitro dissolution data from two products were selected. Three different similarity factors, f2, E(f2) and bc-f2, and their corresponding 90% confidence intervals were calculated with three free software platforms, Pheq_bootstrap, Bootf2bca and DDSolver, and computed by four different approaches, normal approximation, bootstrap-t-CI, percentile CI, and bias corrected and accelerated CI. ResultsAll three platforms report the same f2 value, 49.66 upon comparison of products 1 and 3 and 54.87 for products 2 and 3 (no truncation rule). Bootf2bca and Pheq_bootstrap provided the same f2 and E(f2) also under other truncation rules (EMA or FDA), which are not implemented in DDSolver. Pheq_bootstrap allowed the calculation of bc-f2. The conclusion of similarity is based on a bootstrap percentile CI of E(f2) and f2 in Pheq_bootstrap and DDSolver, respectively. Bootf2bca provides all four 90% CI. DiscussionBootf2bca or Pheq_bootstrap should be considered for the estimation of the 90% CI of the f2 similarity factor when dissolution profiles show high variability.

Bubble to panopticon: dark undercurrents of the big data torrent

Purpose Big data are indispensable in scientific endeavours ranging from nuclear research to climate studies. However, there is a growing misperception that congeries of data can be easily reconstructed into competitive business insights. Such notions have been encouraged by a plethora of mainstream techno-utopian forecasts. Design/methodology/approach This paper investigated such claims and related big data developments, including its “systems-first” and oligopolistic orientations. Due to the paucity of current scholarship on an admittedly pessimistic topic, the paper studied contrarian developments in the industry by relying on secondary data. The study of experts and scholars; industrial trends; and discrepancies and critical gaps in the mainstream data narrative were sourced to prognosticate the likely trajectory of many data giants. Findings A key finding was that the big data industry faces an untenable market bubble worth trillions of dollars. This will have severe consequences for common digital access and social stability worldwide. Evidence presented also suggests that the data industrial complex may undergo a function creep by facilitating a transition from surveillance capitalism to surveillance society. Research limitations/implications Primary data for a study of this nature may take years to materialize. This is a “first-pass” study that seeks to illuminate latent dangers facing the big data/AI sector. There is a paucity of scholarly study that even remotely touches on this topic. Therefore, supporting arguments was sourced from contemporary reports and expert study (secondary data). Practical implications As control of data may have geostrategic implications, balkanization of the wired ecosystem may be underway with Russia and China leading the way. Future superpowers may be defined by the way they handle data. The concentration of data in fewer hands may also affect citizen innovation. Social implications A break-down of the data industrial complex may lead to social mayhem as the monetization of presently free software, blogs and social media platforms may be unfeasible. Originality/value This topic has hardly been explored due to the novelty of big data, its applications and the daily hype over its potentials. This paper boldly describes dark countercurrents in the industry.

INTEGRATED USE OF GIS, REMOTE SENSING DATA AND A SET OF MODELS FOR OPERATIONAL FLOOD FORECASTING

Abstract. The research is aimed at the development and testing of the system for operational river flood forecasting. The system is based on the use of a complex of hydrological and hydrodynamic models, as well as in situ and satellite data integrated processing, and implemented on the basis of a service-oriented architecture. A distinctive feature of the system is the complete automation of the entire simulation cycle - from loading initial data to interpreting results, visualizing and alerting interested parties. The theoretical basis for ensuring the coordinated functioning of all system components is the qualimetry of models and polymodel complexes. The practical implementation is carried out using open codes, free software and GIS platform «RegionView». All the complexity associated with the use of heterogeneous geographically distributed information resources is hidden from the user. This allows the system to be used not only by specialists in GIS, IT or relevant subject area, but also by other users interested in the results of flood monitoring and forecasting - emergency services, local authorities, commercial organizations and citizens. The described technologies and the system of operational flood forecasting were tested in the Russian Federation on the Northern Dvina River, from the city of Velikiy Ustyug to the city of Kotlas in 2014-2019. Given test results prove that the application of such an approach ensures full implementation of the required functionality of operational flood forecasting systems, the fulfilment of the basic requirements for such systems and also indicate the possibility of a widespread use of such systems authorities and emergency services.

Experimental Validation of Spectrum Sensing on Various Transceivers Using Software Defined Radio

Cognitive radio (CR) and software-defined radio (SDR) system technologies provide added flexibility and offer improved spectrum efficiency. Cognitive radio is an obstreperous radio communication and networking technology. It is presently undergoing drastic development due to its potential to resolve many of the problems affecting existing systems. Spectrum sensing is the crucial in empowering technology of CR to sense the existence of primary users or licensed user signals and exploit the spectrum holes. Hence, this paper addresses the design of Energy detection spectrum sensing technique for 16-QAM and 64-QAM transceivers employing SDR testbed. In addition, this paper also addresses the practical signal detection and the impact of various filtering windowing methods on detected signals. Furthermore, the impact of different simulation channels such as dynamic channel model and frequency selective faded channel models with Rayleigh and Rician fadings, are presented by testing the spectrum sensing technique on differential phase shift keying transceiver. For practical proof of the concepts, experimental tests are performed using SDR testbed that employs universal software radio peripheral N210 as hardware platform and GNU Radio as an open source free software platform. Therefore, I have reduced the cost of implementation drastically.

Propuesta de sistema de control automático para el bombeo de una granja camaronera en la localidad de Pimientillo, Nayarit

The following project pretends to make a proposal to automate the pumping process for oxygenation in a shrimp farm of the company Loma de las cayotas, in order to reduce errors or accidents, which could generate product losses and overuse of energy, decreasing the income of the company. The oxygenation of water for shrimp farming is done by pumping water from the sea. For this process, a scale prototype was developed by automating the pump that will be used in the shrimp farm, which will act according to a selected sensor and the water level increase due to the natural tidal effect. The automation aims to reduce the uncertainty of incorrect oxygenation of the shrimp during its growth period. The process will be carried out with Arduino, a free hardware and software platform.

Simulation of quasi spherical gravitational waves in the characteristic formulation

Introduction :A review is made of gravitational waves, their simulation and the methods used for their definitive detection in 2015. A comparison of electromagnetic waves with gravitational waves and the main technological efforts made over decades for their detection is presented. Objective:is to detect OG from massive black holes and galactic and extragalactic binary stars in a frequency range of 10-4 to 10-1 Hz. Materials and methods: Numerical methods used in its simulation are specified, emphasizing computational techniques used in recent years. Results:The boundary is placed at x = 2/3 and the parameters are used for the simulations shown in figures 3 and 4: number of points of the angular mesh Nq = Np = Nξ = 45, and for the radial mesh Nx = 100 , A = 10-3, Ra = 4, Rb = 7. Discussion:The simulations were carried out with a code programmed in FORTRAN 90 and run under the LINUX free software platform. The figures were generated with the Dx plotter under LINUX environment, allowed to evaluate the respective equations and give a satisfactory answer to the proposed objectives. Conclusions:it was possible to conclude that the detection of gravitational waves is possible, however it is necessary to improve the sensitivity, which will allow the detection of new events collecting information about sources three times more distant, and increasing the probability of detection.

Imaging and printing in plastic and reconstructive surgery part 1: established techniques

Background: An increasing number of reconstructive surgeons are using modern imaging technologies for preoperative planning and intraoperative surgical guidance. Conventional imaging modalities such as CT and MRI are relatively affordable and widely accessible and offer powerful functionalities. In the first of a two-part series, we evaluate established three-dimensional (3D) imaging and printing techniques based on CT and MRI used in plastic and reconstructive surgery. Method: A review of the published English literature dating from 1950 to 2017 was taken using databases such as PubMed, MEDLINE®, Web of Science and EMBASE. Result: In plastic and reconstructive surgery, the most commonly used, free software platforms are 3D Slicer (Surgical Planning Laboratory, Boston, MA, USA) and OsiriX (Pixmeo, Geneva, Switzerland). Perforator mapping using 3D-reconstructed images from computed tomography angiography (CTA) and magnetic resonance angiography (MRA) is commonly used for preoperative planning. Three- dimensional volumetric analysis using current software techniques remains labour-intensive and reliant on operator experience. Three-dimensional printing has been investigated extensively since its introduction. As more free open-source software suites and affordable 3D printers become available, 3D printing is becoming more accessible for clinicians. Conclusion: Numerous studies have explored the application of 3D-rendered conventional imaging modalities for perforator mapping, volumetric analysis and printing. However, there is a lack of comprehensive review of all established 3D imaging and printing techniques in a language suitable for clinicians.

310. A radiomics analysis process using free software platforms: Our experience in Sassari

Purpose Radiomics have proved to be useful in exploiting imaging data to correlate and even predict some phenotypic or genetic tumor characteristics. Our purpose was to build and test a complete radiomic analysis process, mainly addressed to CT imaging of thoracic district, using a 3D-Slicer platform (mainly promoted by NIH) and R computing and graphic software (international R-core team). Methods and materials 3D-Slicer free software (v.4.6 and 4.7) was installed on a 32 GB-RAM workstation, equipped with two diagnostic quality 3MP monitors. Lesions’ outlining exploited the semi-automatic 3D-Slicer contouring tool Fast-GrowCut. Plastimatch and Radiomics modules were used, respectively, for images elastic registration (among CT scans with and without contrast agent) and for 94 radiomic features determination (first order, shape, GLCM, GLRLM, GLSZM). The full process was tested on 21 patients, all affected by NSCLC, scanned by the same tomograph. Features were assessed only on non-enhanced images. An in-house R script was built to evaluate the main statistical indices and some graphical results on the test group. Results 3D-Slicer free platform has proved an excellent one for accurate lesions’ delineation on thorax CT images, thanks to the Fast-GrowCut tool which has high performances in the presence of high HU contrast. The elastic fusion transformation matrix (Plastimatch) helped to better define the tumor contour, excluding atelectasis or border regions in some unclear cases, if the correspondent enhanced scan was available. Radiomics tool (3D-Slicer option by Pyradiomics), combined with the in-house R routine, permitted to evaluate intensive and exstensive radiomic features, together with their densities when meaningful (e.g. entropy), to evaluate their distribution and prepare for radiomic fingerprint maps and cluster analysis. Conclusion Our works has built a free of charge complete radiomics process, based on internationally validated softwares, to contour lesions and assess radiomic features, features densities and statistical analysis on patients’ groups.

Response surface methodology applied to tropical freshwater treatment

ABSTRACTThis paper presents the profits and disadvantages of the chemometrics approach instead of the one-factor-at-a-time (OFAT) coagulation diagram approach for tropical water physicochemical treatment. Central composite design associate to response surface methodology (CCD-RSM) is used to find the real best conditions for coagulant dosage and pH aiming at high-turbidity removal. The number of experiments needed to chemometrics model construction (12) is comparatively smaller than that used in the coagulation diagram (84), saving financial and environmental resources. Arguments for Water Treatment Plants (WTP) considering the replacement of coagulation diagram approach by the CCD-RSM approach in drinking water treatment are presented. Chemometrics models are all constructed on a free software platform, providing the best pH within the range 7.7–8.1, and the best coagulant dosage (polyaluminium chloride, PAC) between 2.0 and 3.1 mg Al2O3 L−1 (equivalent in mass). CCD-RSM provides a faster, lower-cost and more reliable alternative tool for WTP decision-making instead of the OFAT model, mainly for waters more affected by seasonal effects as can be seen in tropical and subtropical countries.