Campaign Planning Research Articles

Modelling of surface river plume using set-up and input data files of Delft-3D model.

This data article presents set-up and input data files to model a surface river plume through curvilinear nested grid in double-way mode. The hydrodynamic modelling in river deltas with intense transport processes and complex bathymetry such as the Magdalena River delta, requires a mesh grid that ease the natural river discharge into the ocean. The aforementioned may be challenging due to the numerical scheme and stability restrictions of the numerical models that difficult having efficient and effective validated simulations. This dataset files are a reference to perform analysis of the hydrodynamic river deltas, meaningful for optimizing time and resources, easing the planning of measurement campaigns what reduce risks of the personnel and instrumentation during equipment deployment and field work .The application of the set-up and input data files of this data article is shown in Rueda-Bayona et al. [1].

Single machine campaign planning under sequence dependent family setups and co-production

We investigate tactical level production planning problem in process industries, with float glass manufacturing being the specific application domain. In the presence of high sequence dependent family setup costs, the need for planning production in batches, or campaigns as named in the float glass industry, arises. Moreover, the float glass manufacturing has some unique properties such as partially controllable co-production and uninterruptible production. The motivation of our work is a real life problem encountered at a major float glass manufacturing company in Turkey. We develop two mixed integer programming formulations and investigate some variants to solve the problem. Our formulations are capable of handling different resolutions in input data such as demand forecast expressed in discrete time and setup durations expressed in continuous time. We compare formulations both theoretically and by running computational experiments. Furthermore, we conduct additional experiments to gain insights about characteristics of the generated campaign plans from a business perspective.

Local rabies transmission and regional spatial coupling in European foxes.

Infectious diseases are often transmitted through local interactions. Yet, both surveillance and control measures are implemented within administrative units. Capturing local transmission processes and spatial coupling between regions from aggregate level data is therefore a technical challenge that can shed light on both theoretical questions and practical decisions. Fox rabies has been eliminated from much of Europe through oral rabies vaccination (ORV) programmes. The European Union (EU) co-finances ORV to maintain rabies freedom in EU member and border states via a cordon sanitaire. Models to capture local transmission dynamics and spatial coupling have immediate application to the planning of these ORV campaigns and to other parts of the world considering oral vaccination. We fitted a hierarchical Bayesian state-space model to data on three decades of fox rabies cases and ORV campaigns from Eastern Germany. Specifically, we find that (i) combining regional spatial coupling and heterogeneous local transmission allows us to capture regional rabies dynamics; (ii) incursions from other regions account for less than 1% of cases, but allow for re-emergence of disease; (iii) herd immunity achieved through bi-annual vaccination campaigns is short-lived due to population turnover. Together, these findings highlight the need for regular and sustained vaccination efforts and our modelling approach can be used to provide strategic guidance for ORV delivery. Moreover, we show that biological understanding can be gained from inference from partially observed data on wildlife disease.

Going with the floe: tracking CESM Large Ensemble sea ice in the Arctic provides context for ship-based observations

Abstract. In recent decades, Arctic sea ice has shifted toward a younger, thinner, seasonal ice regime. Studying and understanding this “new” Arctic will be the focus of a year-long ship campaign beginning in autumn 2019. Lagrangian tracking of sea ice floes in the Community Earth System Model Large Ensemble (CESM-LE) during representative “perennial” and “seasonal” time periods allows for understanding of the conditions that a floe could experience throughout the calendar year. These model tracks, put into context a single year of observations, provide guidance on how observations can optimally shape model development, and how climate models could be used in future campaign planning. The modeled floe tracks show a range of possible trajectories, though a Transpolar Drift trajectory is most likely. There is also a small but emerging possibility of high-risk tracks, including possible melt of the floe before the end of a calendar year. We find that a Lagrangian approach is essential in order to correctly compare the seasonal cycle of sea ice conditions between point-based observations and a model. Because of high variability in the melt season sea ice conditions, we recommend in situ sampling over a large range of ice conditions for a more complete understanding of how ice type and surface conditions affect the observed processes. We find that sea ice predictability emerges rapidly during the autumn freeze-up and anticipate that process-based observations during this period may help elucidate the processes leading to this change in predictability.

Reviewing Solutions of Scale for Canine Rabies Elimination in India.

Canine rabies elimination can be achieved through mass vaccination of the dog population, as advocated by the WHO, OIE and FAO under the ‘United Against Rabies’ initiative. Many countries in which canine rabies is endemic are exploring methods to access dogs for vaccination, campaign structures and approaches to resource mobilization. Reviewing aspects that fostered success in rabies elimination campaigns elsewhere, as well as examples of largescale resource mobilization, such as that seen in the global initiative to eliminate poliomyelitis, may help to guide the planning of sustainable, scalable methods for mass dog vaccination. Elimination of rabies from the majority of Latin America took over 30 years, with years of operational trial and error before a particular approach gained the broad support of decision makers, governments and funders to enable widespread implementation. The endeavour to eliminate polio now enters its final stages; however, there are many transferrable lessons to adopt from the past 32 years of global scale-up. Additionally, there is a need to support operational research, which explores the practicalities of mass dog vaccination roll-out and what are likely to be feasible solutions at scale. This article reviews the processes that supported the scale-up of these interventions, discusses pragmatic considerations of campaign duration and work-force size and finally provides an examples hypothetical resource requirements for implementing mass dog vaccination at scale in Indian cities, with a view to supporting the planning of pilot campaigns from which expanded efforts can grow.

Kinetic modeling of seeded nitrogen in an ITER baseline scenario

ITER as the next-level fusion device is intended to reliably produce more fusion power than required for sustainably heating its plasma. Modeling has been an essential part of the ITER design and for planning of future experimental campaigns. In a tokamak or stellarator plasma discharge, impurities play a significant role, especially in the edge region. Residual gases, eroded wall material, or even intentionally seeded gases all heavily influence the confinement and, thus, the overall fusion performance. Nitrogen is such a gas envisaged to be seeded into a discharge plasma. By modeling the impurities kinetically using the full three-dimensional Monte-Carlo code package EMC3-EIRENE, we analyze the distribution of nitrogen charge-state resolved in a seeded ITER baseline scenario and draw conclusions for the hydrogen background plasma density. Lastly, we compare the influence of a more refined kinetic ion transport in EIRENE including additional physical effects on the impurity density.

Digitalization of scanning lidar measurement campaign planning

Abstract. By using multiple wind measurements when designing wind farms, it is possible to decrease the uncertainty of wind farm energy assessments since the extrapolation distance between measurements and wind turbine locations is reduced. A WindScanner system consisting of two synchronized scanning lidars potentially represents a cost-effective solution for multipoint measurements, especially in complex terrain. However, the system limitations and limitations imposed by the wind farm site are detrimental to the installation of scanning lidars and the number and location of the measurement points. To simplify the process of finding suitable measurement positions and associated installation locations for the WindScanner system, we have devised a campaign planning workflow. The workflow consists of four phases. In the first phase, based on a preliminary wind farm layout, we generate optimum measurement positions using a greedy algorithm and a measurement “representative radius”. In the second phase, we create several Geographical Information System (GIS) layers such as exclusion zones, line-of-sight (LOS) blockage and lidar range constraint maps. These GIS layers are then used in the third phase to find optimum positions of the WindScanner systems with respect to the measurement positions considering the WindScanner measurement uncertainty and logistical constraints. In the fourth phase, we optimize and generate a trajectory through the measurement positions by applying the traveling salesman problem (TSP) on these positions. The described workflow has been digitalized into a Python package named campaign-planning-tool, which gives users an effective way to design measurement campaigns with WindScanner systems. In this study, the Python package has been tested on three different sites characterized by different terrain complexity and wind farm dimensions and layouts. With minimal effort, the Python package can optimize measurement positions and suggest possible lidar installation locations for carrying out resource assessment campaigns.

Why Do People Choose To Multitask with Media?

ABSTRACT This article examines selected drivers of multiple media use, to investigate why individuals choose to multitask with media. A survey of 315 digital natives in the U.K. revealed that multiple media use was predicted by the dimensions of polychronicity, the extent to which people prefer to work on multiple activities at the same time. The discovery of heterogeneity in the impact of the dimensions of polychronicity on multiple media use indicates that this functional relationship varies among individuals, revealing a unique typology. The authors posit a multiple media user typology composed of “information seekers,” “connecteds,” and “instinctives.” Distinct patterns of multiple media use are identified for each segment, with associated implications for multimedia advertising campaign planning.

Mobile marketing campaigns: practices, challenges and opportunities

Increased use of smartphone and other mobile devices means more frequent contact between the brands and consumers. Interactions happen on anytime, anywhere basis, going much beyond the boundaries of traditional customer connect. Starting with the traditional e-mail, to pay per click, search engine optimisation, content writing, social media marketing, video and in-game advertisements, there are multiple channels to reach every segment of the audience as per their comfort. Considering the mobile communication media, optimisation of corporate website, e-mails, SMS, MMS channels, and building a native app are the prominent aspects of the present day mobile marketing campaigns. Present work highlights the importance of optimum mobile marketing campaigns as the mobile phones are serving as a preferred mode for accessing the information about the products and services. Suitability of various mobile marketing channels have been analysed to suffice the needs of different customer segments. Along with this, most important challenges and opportunities have been outlined, considering the present day market scenario. The work is very much helpful in strategic planning of the mobile marketing campaigns and selection of specific channels to cater to the targeted customer base.

MOBILE MARKETING CAMPAIGNS: PRACTICES, CHALLENGES and OPPORTUNITIES

Increased use of smartphone and other mobile devices means more frequent contact between the brands and consumers. Interactions happen on anytime, anywhere basis, going much beyond the boundaries of traditional customer connect. Starting with the traditional e-mail, to pay per click, search engine optimisation, content writing, social media marketing, video and in-game advertisements, there are multiple channels to reach every segment of the audience as per their comfort. Considering the mobile communication media, optimisation of corporate website, e-mails, SMS, MMS channels, and building a native app are the prominent aspects of the present day mobile marketing campaigns. Present work highlights the importance of optimum mobile marketing campaigns as the mobile phones are serving as a preferred mode for accessing the information about the products and services. Suitability of various mobile marketing channels have been analysed to suffice the needs of different customer segments. Along with this, most important challenges and opportunities have been outlined, considering the present day market scenario. The work is very much helpful in strategic planning of the mobile marketing campaigns and selection of specific channels to cater to the targeted customer base.

Optimization of PR effects and features of the development of the advertising market of Kazakhstan

The article discusses the development trends of the institution of public relations in Kazakhstan. The need to consider national characteristics in PR was noted. The mechanisms for solving problems in the field of communication, long-term interaction of various social structures are considered. The differences between the effects of PR and advertising, based on improving the image, have been described as ways to measure the effectiveness of PR. Problem-oriented and resource-based approaches to PR-activities were demonstrated. For campaign planning, a model set of motivation was proposed. The purpose of the article is to compare the necessary experience using PR-technologies and the analysis of key concepts. The technologies are the same all over the world, but the application of each of them depends on national characteristics. The use of PR-technologies should require to target audience. There were used theoretical approaches based on the description, control and comparison of subject analysis, document analysis, systematization and works of foreign scientists in the article. The main result of this article is that when using any advertising, the company is connected with potential buyers or service providers and invests in raising PR funds for an audience, which subsequently provides information to customers or service providers. The difference between advertising and PR con- tributes to the reliability of PR technologies. The value of the article. The article analyzes the effectiveness of PR and features of the development of the advertising market in Kazakhstan, and conducts a systematic review. In the article, the author discussed the development of the advertising market. Several successive stages of economic activity formation in Kazakhstan as a form of sociocultural order are analyzed. The advertising market is a developing segment of the national economy. There are a number of factors that have changed in the advertising market.

The roles of intra-household gendered dominance in unmet need for family planning across Myanmar

Background: Unmet need for family planning in Myanmar (estimated 15.8% by the UN in 2017) is relatively high compared to other South East Asia countries. Moreover, Social Institutions and Gender Index in Myanmar is very high and cultural norms promote childbearing. Thus, this paper was conducted to examine role of intra-household gendered dominance (IHGD) in unmet need for family planning across Myanmar to set more effective intervention for family planning. Methods: The study utilized secondary data from 2015–2016 MDHS. Total 7,652 married women in reproductive age (MWRA) were included and 16% of them had unmet need for family planning. Binary Logistic Regression Analysis was conducted to examine the association of each explanatory variables with outcomes variables. Results: IHGD factors which are decision on women’s health and women’s attitude towards wife beating are significantly associated with unmet need. Moreover, socio-economic factors which are place of residence and women’s education level have significant impact on unmet need as well. Conclusion: Based on the findings of this study, the government of Myanmar should address dominance of social and cultural gender norms by conducting gender equality awareness campaign and family planning program should target to reach rural and uneducated women.

Factores de riesgo en el ictus - influencia de la edad

Objetivo: Analizar la influencia que los distintos factores de riesgo ejercen sobre la edad a la que se produce un ictus. Método: Estudio observacional transversal en el que se incluyeron a todos los pacientes con ictus ingresados de forma consecutiva en el Hospital Universitario de Burgos (España). Se recogieron parámetros sociodemográficos y clínicos, estudiándose su posible relación con la edad mediante análisis univariante y multivariante. Resultados: Se incluyeron 436 pacientes, siendo la edad media de 75,39 años (DE ±12,674). Los factores de riesgo más frecuentes fueron la hipertensión arterial y la enfermedad cardiovascular. Se observó que el tener antecedentes personales de hipertensión arterial (OR 2,49; IC95% 1,49-4,16) ó el no tener un estilo de vida sedentario (OR 3,24; 1,97-5,31) se relacionó con una mayor probabilidad de que el paciente tuviera una edad igual o superior a 75 años. Sin embargo, el tener sobrepeso/obesidad (OR 0,51; IC95% 0,30-0,88), el ser fumador activo (OR 0,47; 0,02-0,11) ó el consumir alcohol (OR 0,42; 0,26-0,69) aumentó la probabilidad de que el ictus ocurriera antes de 75 años. Conclusión: La edad de aparición de un ictus se relaciona con la ocurrencia de determinados factores de riesgo, los cuales deberían ser considerados en la planificación de futuras campañas educacionales.

Revisiting product classification to examine content marketing practices

Purpose The purpose of this paper is to investigate how the degree of investment and involvement attributed to specific product categories, affect content marketing plans and practices on the Web and social media. Design/methodology/approach This is a conceptual paper based on the classification proposed by Morton and Devine (1985) on the axes of investment and involvement. The author uses secondary research evidence from both academic and industry sources to document content marketing trends in the US and the EU markets and allocates such trends using the semiotic square. Findings The findings indicate that products in each quadrant follow similar practices regarding content publishing, campaign planning and community management. Research limitations/implications Further research may test this model empirically and assess its merits in different markets. Practical implications Managers can use this model for content planning, considering category-related opportunities and limitations. The model may also serve as a teaching tool to familiarize students with older research and its potential contribution in current settings. Originality/value By applying an old model in the current US/EU context, this paper helps document and understand content marketing practices, paving the way toward their optimization.

Response transformation and profit decomposition for revenue uplift modeling

Uplift models support decision-making in marketing campaign planning. Estimating the causal effect of a marketing treatment, an uplift model facilitates targeting marketing actions to responsive customers and efficient allocation of marketing budget. Research into uplift models focuses on conversion models to maximize incremental sales. The paper introduces uplift models for maximizing incremental revenues. If customers differ in their spending behavior, revenue maximization is a more plausible business objective compared to maximizing conversions. The proposed methodology entails a transformation of the prediction target, customer-level revenues, that facilitates implementing a causal uplift model using standard machine learning algorithms. The distribution of campaign revenues is typically zero-inflated because of many non-buyers. Remedies to this modeling challenge are incorporated in the proposed revenue uplift strategies in the form of two-stage models. Empirical experiments using real-world e-commerce data confirm the merits of the proposed revenue uplift strategy over relevant alternatives, including uplift models for conversion and recently developed causal machine learning algorithms. To quantify the degree to which improved targeting decisions raise return on marketing, the paper develops a decomposition of campaign profit. Applying the decomposition to a digital coupon targeting campaign, the paper provides evidence that revenue uplift modeling, as well as causal machine learning, can improve campaign profit substantially.

The PanVax Tool to Improve Pandemic Influenza Emergency Vaccination Program Readiness and Partnership.

Objectives. To show how the Centers for Disease Control and Prevention's Pandemic Vaccine Campaign Planning Tool (PanVax Tool) can help state and local public health emergency planners demonstrate and quantify how partnerships with community vaccine providers can improve their overall pandemic vaccination program readiness.Methods. The PanVax Tool helps planners compare different strategies to vaccinate their jurisdiction's population in a severe pandemic by allowing users to customize the underlying model inputs in real time, including their jurisdiction's size, community vaccine provider types, and how they allocate vaccine to these providers. In this report, we used a case study with hypothetical data to illustrate how jurisdictions can utilize the PanVax Tool for preparedness planning.Results. By using the tool, planners are able to understand the impact of engaging with different vaccine providers in a vaccination campaign.Conclusions. The PanVax Tool is a useful tool to help demonstrate the impact of community vaccine provider partnerships on pandemic vaccination readiness and identify areas for improved partnerships for pandemic response.

N2O emission in full-scale wastewater treatment: Proposing a refined monitoring strategy

Nitrous oxide (N2O) emissions from wastewater treatment contribute significantly to greenhouse gas emissions. They have been shown to exhibit a strong seasonal and daily profile in previously conducted monitoring campaigns. However, only two year-long online monitoring campaigns have been published to date. Based on three monitoring campaigns on three full-scale wastewater treatment plants (WWTPs) with different activated sludge configurations, each of which lasted at least one year, we propose a refined monitoring strategy for long-term emission monitoring with multiple flux chambers on open tanks. Our monitoring campaigns confirm that the N2O emissions exhibited a strong seasonal profile and were substantial on all three plants (1–2.4% of the total nitrogen load). These results confirm that N2O is the most important greenhouse gas emission from wastewater treatment. The temporal variation was more distinct than the spatial variation within aeration tanks. Nevertheless, multiple monitoring spots along a single lane are crucial to assess representative emission factors in flow-through systems. Sequencing batch reactor systems were shown to exhibit comparable emissions within one reactor but significant variation between parallel reactors. The results indicate that considerable emission differences between lanes are to be expected in cases of inhomogeneous loading and discontinuous feeding. For example, N2O emission could be shown to depend on the amount of treated reject water: lanes without emitted <1% of the influent load, while parallel lanes emitted around 3%. In case of inhomogeneous loading, monitoring of multiple lanes is required. Our study enables robust planning of monitoring campaigns on WWTPs with open tanks. Extensive full-scale emission monitoring campaigns are important as a basis for reliable decisions about reducing the climate impact of wastewater treatment. More specifically, such data sets help us to define general emission factors for wastewater treatment plants and to construct and critically evaluate N2O emission models.

Using Twitter to Understand the Human Bowel Disease Community: Exploratory Analysis of Key Topics

BackgroundNowadays, the use of social media is part of daily life, with more and more people, including governments and health organizations, using at least one platform regularly. Social media enables users to interact among large groups of people that share the same interests and suffer the same afflictions. Notably, these channels promote the ability to find and share information about health and medical conditions.ObjectiveThis study aimed to characterize the bowel disease (BD) community on Twitter, in particular how patients understand, discuss, feel, and react to the condition. The main questions were as follows: Which are the main communities and most influential users?; Where are the main content providers from?; What are the key biomedical and scientific topics under discussion? How are topics interrelated in patient communications?; How do external events influence user activity?; What kind of external sources of information are being promoted?MethodsTo answer these questions, a dataset of tweets containing terms related to BD conditions was collected from February to August 2018, accounting for a total of 24,634 tweets from 13,295 different users. Tweet preprocessing entailed the extraction of textual contents, hyperlinks, hashtags, time, location, and user information. Missing and incomplete information about the user profiles was completed using different analysis techniques. Semantic tweet topic analysis was supported by a lexicon-based entity recognizer. Furthermore, sentiment analysis enabled a closer look into the opinions expressed in the tweets, namely, gaining a deeper understanding of patients’ feelings and experiences.ResultsHealth organizations received most of the communication, whereas BD patients and experts in bowel conditions and nutrition were among those tweeting the most. In general, the BD community was mainly discussing symptoms, BD-related diseases, and diet-based treatments. Diarrhea and constipation were the most commonly mentioned symptoms, and cancer, anxiety disorder, depression, and chronic inflammations were frequently part of BD-related tweets. Most patient tweets discussed the bad side of BD conditions and other related conditions, namely, depression, diarrhea, and fibromyalgia. In turn, gluten-free diets and probiotic supplements were often mentioned in patient tweets expressing positive emotions. However, for the most part, tweets containing mentions to foods and diets showed a similar distribution of negative and positive sentiments because the effects of certain food components (eg, fiber, iron, and magnesium) were perceived differently, depending on the state of the disease and other personal conditions of the patients. The benefits of medical cannabis for the treatment of different chronic diseases were also highlighted.ConclusionsThis study evidences that Twitter is becoming an influential space for conversation about bowel conditions, namely, patient opinions about associated symptoms and treatments. So, further qualitative and quantitative content analyses hold the potential to support decision making among health-related stakeholders, including the planning of awareness campaigns.

Campaign Planning Essentials

Successful FundraisingVolume 27, Issue 9 p. 6-6 Planning Procedures Campaign Planning Essentials First published: 11 August 2019 https://doi.org/10.1002/sfr.31270Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume27, Issue9September 2019Pages 6-6 RelatedInformation

Management of advertising campaign planning in the pharmaceutical sector of the e-commerce market

General trends in the Russian advertising market are observed in the pharmaceutical segment as well as in the others. Advertising, implementing during distance advanced training, which is mandatory for pharmacists and medical workers, extension of analytics capabilities on digital sites and increasing consumer awareness has become the trend of recent years. The digital segment of the pharmaceutical market lags significantly behind the same segment in other areas, for example, in the market of daily demand goods, but the situation is beginning to change. In the shifting digital environment of the market, advertising service providers need to adapt to new conditions and offer the client (the manufacturer of pharmaceuticals or the agency that represents its interests) advertising campaigns most relevant for their needs. In order to optimize the time spent by employees on the designing the advertising campaigns, as well as to speed up the training of new employees, the authors of the article have created a methodology for quick construction of advertising campaigns, based on 4 main issues. It requires the choice of the segment to which the customer belongs, from the three proposed options, the assessment of its goals and objectives, the budget and special wishes for advertising options, as well as the choice of the promotion period. The method has shown its effectiveness in practice, as evidenced by the description of three cases of its verification on real clients. An analysis of the directions of advertising, recommendations on the use of new opportunities in the pharmaceutical advertising market in Russia, as well as a detailed analysis of the answers to each of the questions, when designing an advertising campaign in this market have been made in the article.