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The shift from mass tourism to more personalized travel denotes great importance in the construction of tourist itineraries. Given the negative impacts of transport and tourism on the environment, sustainability criteria play an important role. The Tourist Trip Design Problem is related to the design of itineraries for tourists. Planning is complex in tourist regions of developing countries where the information associated with tourist activities is difficult to access, vague, and incomplete. With this information, tourists must plan their trip, and the conditions and limitations they establish for it are flexible and imprecise. Fuzzy optimization can address problems with this type of information and constraints. Therefore, in this paper, an analysis of the tourism supply chain is carried out, taking as a case study the Department of Sucre on Colombia's Caribbean coast. A Multiconstraint Multimodal Team Orienteering Problem with Time Windows and fuzzy constraints is developed to model the tourism trip design problem that maximizes profit and minimizes CO2 emissions. The model is tested using datasets from the literature and the real world. The results demonstrate consistency with the fuzzy approach and generate a set of low-emission solutions. [ABSTRACT FROM AUTHOR]

In this paper, a nonlinear fractional-order chikungunya disease model that incorporates asymptomatic infectious individuals is proposed and analyzed. The main interest of this work is to investigate the role of memory effects on the dynamics of chikungunya. Qualitative analysis of the model's equilibria showed that there exists a threshold quantity which governs persistence and extinction of the disease. Model parameters were estimated based on the 2015 weekly reported cases in Colombia. The Adams-Bashforth-Moulton method was used to numerically solve the proposed model. We investigated the role of asymptomatic infectious patients on short- and long-term dynamics of the diseases. We also determined threshold levels for the efficacy of preventative strategies that results in effective management of the disease. We believe that our model can provide invaluable insights for public health authorities to predict the effect of chikungunya transmission and analyze its underlying factors and to guide new control efforts. [ABSTRACT FROM AUTHOR]

The potato is one of the main agricultural products in Colombia and is the second most important crop in the country. The production of this tuber represents 3.3% of the country's agricultural gross domestic product (GDP). More than 100,000 producer families subsist on cultivation at the national level, the vast majority of which are smallholdings. However, smallholders are not able to exploit the full potential of this activity, and one of the main factors that does not allow for improving productivity is the inefficient use of land in agricultural activities. This leads to issues such as erosion, overexploitation of soil resources, reduced productivity, and, depending on the time of year, even an excess of potato supply. Therefore, a multicriteria methodology is proposed based on the key elements of the potato crop production cycle and its environment, made up of farmers from the municipality of Ventaquemada, located in Boyacá, where potato cultivation is a traditional practice. This department is the second-largest potato-producing department in the country. A review of the literature was carried out to determine and characterise the area of the selected department, and based on the above, the relevant criteria were defined and the alternatives to be evaluated were identified. Second, the proposed model is evaluated with its respective prioritisation process of both the criteria and the alternatives according to the analytic hierarchy process (AHP) methodology. Finally, the results of the model are presented, prioritizing the type of tillage, irrigation method, seed type, and its disinfection process for potato cultivation. This takes into account topographic and climatic conditions, the ecosystem, soil type, implementation costs, among other factors specific to the case study. [ABSTRACT FROM AUTHOR]

Carrot production is expensive since approximately 51% of the total costs are allocated to the nutrition of the crop. Bacterial inoculants are a promising alternative for crop fertilization. This research aimed to evaluate the effect of Gluconacetobacter diazotrophicus on the performance of carrot cultivar "Royal Chantenay" and its interaction with nitrogen and phosphorus fertilization. An experimental design of sub-subdivided plots was applied, where the largest plot consisted of the reference strain (ATCC 49037) and a native Colombian isolate of the bacterium (GIBI029); two concentrations of the bacterium were applied in the subplots (8.8 × 107 and 18 × 107 CFU/mL), and the levels of nitrogen and phosphorus were sorted within each one of them. The best positive effect was observed with the application of G. diazotrophicus ATCC49037 and GIBI029 at a concentration of 18 × 107 CFU/mL without the application of phosphorus or nitrogen in which yields of 37,417 and 30,606 kg/ha were obtained, respectively, exceeding the national average production in Colombia. In contrast, conventional treatment had a yield of 27,909 kg/ha. Additionally, higher quality was evidenced in the product weight with values of 126.48 g (ATCC49037) and 104.98 g (GIBI029), compared with the conventional treatment (93.19 g). G. diazotrophicus was shown to exhibit growth-promoting properties not only in crops such as sugarcane but also in economically important vegetable crops. The results obtained may contribute to the development of a novel microbial inoculant for vegetables under agroecological conditions in tropical areas. [ABSTRACT FROM AUTHOR]

Korsakoff's syndrome (KS) is an insidious and progressive neuropsychiatric disorder that affects specific neurocognitive functioning, especially in tasks that require sustained attention, memory, executive functions, and visuospatial functioning. Usually, this disease generates neuropsychiatric complications that worsen the quality of life (QOL) of patients in the medium term. We present a case of a 63-year-old male who presented with a diagnosis of advanced Korsakoff's syndrome and has a clinical history of recurrent memory loss and a history of alcohol abuse. The patient showed difficulty manipulating immediate information, associated with a possible frontal lobe dysfunction, and inability to remember material given through the auditory pathway. The patient showed a psychiatric clinical picture which is constantly worsening his and his immediate caregiver's QOL. The data obtained demonstrate that the patient presents a progressive cognitive impairment, which in the short term is correlated with Korsakoff-type dementia. It is suggested to carry out functional neurorehabilitation plans aimed at improving the QOL of the patient, his immediate caregiver, and future people with this type of diagnosis. [ABSTRACT FROM AUTHOR]

African swine fever (ASF) and classical swine fever (CSF) are two major transboundary animal diseases of swine with important socioeconomic consequences at farm, subnational and national level. The objective of this study was to evaluate the direct cost of outbreaks and their control at country/regional level in four countries: namely CSF in Colombia in 2015–2016, the retrospective cost of ASF in the Philippines in 2019 and in a province of Vietnam in 2020 and a hypothetical ASF scenario in one region in North Macedonia, using the newly developed Outbreak Costing Tool (OutCosT). The tool calculates the costs of 106 different items, broken down by up to four types of farms, and by who assumes the cost (whether veterinary services, farmers or other stakeholders). The total cost of CSF in Colombia was US$ 3.8 million, of which 88% represented the cost of the vaccination campaign. For ASF, there were wide differences between countries: US$ 8,26,911 in Lao Cai (Vietnam), US$ 33,19,666 in North Macedonia and over US$ 58 million in the Philippines. While in the Philippines and Vietnam, 96–98% of the cost occurred in the affected farms, the highest expenditure in North Macedonia scenario was the movement control of the neighbouring and at‐risk farms (77%). These important differences between countries depend on the spread of the disease, but also on the production systems affected and the measures applied. Apart from the financial cost, these diseases have other negative impacts, especially in the livelihoods of smallholder farms. The OutCosT tool also allows users to evaluate qualitatively other important aspects related to the epidemics, such as the impact on human health, the environment, animal welfare, socioeconomic vulnerability, trading and political response. OutCosT, which is a FAO corporate tool (available online at: https://www.fao.org/fileadmin/user%5fupload/faoweb/animal‐health/OutCosT%5fPIG.xlsx), can be an important tool to support country authorities to rapidly respond to a swine disease outbreak by estimating the associated costs and for advocacy purposes to mobilize resources at national or international levels. [ABSTRACT FROM AUTHOR]

This study aims to explore the perceptions of the Venezuelan immigrant population in Medellín, Colombia, regarding their employment, working and health conditions (physical, mental and psychosocial). A qualitative study was conducted (focused ethnography perspective). Semi‐structured interviews were carried out with 31 Venezuelans and 12 key informants from different social organisations that work with the immigrant population. A narrative content analysis was carried out (Atlas.Ti 8.0 software). The migratory process for Venezuelans is caused for political, economical and social aspects in Venezuela and Colombia is offered as the first destination for labour establishing. Access to the labour market is limited to certain occupations, in many cases in the informal economy. Participants referring low salaries, working long hours and reduced social benefits. Occupational risks are evidenced by low experience in the labour market. Some health problems are perceived, and a good part of the interviewed population referred to signs and symptoms related to mental health problems. Barriers to access health and social protection services were found. Finally, future expectations depend on their adaptation to Colombia, the improvement of social conditions in Venezuela or having chances of improving their social and living conditions in another country. A high labour and social vulnerability were found in Venezuelan participants that impact on physical and mental health. Political and strategies from a public health perspective are required and the implementation of systems for monitoring and evaluating the labour and health situation in the working immigrant population. [ABSTRACT FROM AUTHOR]

Infection with the classical swine fever virus (CSFV) causes a disease in pigs that ranges from a hyperacute form in which animals die in a few hours to subclinical disease. Due to this wide range of virulence, several complementary surveillance strategies should be implemented for the early detection of the disease. The objective of the present study was to determine the sensitivity of the surveillance system to detect CSFV outbreaks in a free zone (Zone 1) and in a zone undergoing an eradication process (Zone 2) in Colombia. Stochastic scenario tree models were used to describe the population and surveillance structures and to determine the probability of CSFV detection. The total sensitivity of the surveillance system in the case of a single infected farm in Zone 1 was 31.4% (CI 95%: 7.2-54.1) and in the case of 5 infected farms was 85.2% (CI 95%: 67.3-93.7), while in Zone 2 the sensitivities were 27.8% (CI 95%: 6.4-55.1) and 82.5% (CI 95%: 65-92.9), respectively. The on-farm passive surveillance shows the highest sensitivity for detection of a single CSFV infected farm in both zones (22.8% in Zone 1 and 22.5% in Zone 2). The probability of detection was higher in a family / backyard premise than on a commercial farm in both zones. The passive surveillance at slaughterhouse had a sensitivity of 5.3% and 4.5% for the detection of a single infected farm in Zone 1 and 2, respectively. Active surveillance presented a range of sensitivity between 2.2% and 4.5%. In conclusion, the sensitivity of the surveillance in the two studied zones was quite high, one of reasons for this good sensitivity being the sentinel network based on the voluntary participation of 5,500 collaborators that were trained for the identification and notification of diseases of national interest. [ABSTRACT FROM AUTHOR]

Measuring the quality of life in family caregivers of people in palliative care is essential to document the impact of care on the caregiver. This study aimed to adapt and validate a Latin American‐Spanish version of the QOLLTI‐F scale in family caregivers of palliative care patients. This study was conducted between May and November 2019 in Medellin, Colombia. We develop three phases: translation and semantic adaptation (n = 17), face and content validity (n = 21), construct validity, internal consistency (n = 208) and test–retest reliability (n = 35). Main family caregivers of stage‐IV cancer patients receiving palliative treatment, participated. In the translation and semantic adaptation, some items were adjusted following the caregivers' recommendations. In face validity, Fleiss' Kappa was over 0.65 for family caregivers. In content validity, Fleiss' Kappa ranged from 0.54 to 1 for experts. In construct validity, the original version seven‐factor structure did not show appropriate model fit indices. The data revealed instead a new 3‐factor structure related to (1) impact of care‐giving, (2) social and healthcare interactions and (3) meaning of life. Cronbach's alpha was 0.83 for the overall scale. Test–retest reliability was 0.87 between measurements 1 and 2. This study found that The Latin American‐Spanish version of the QOLLTI‐F scale is an understandable, useful, and relevant tool for family caregivers of people with cancer receiving palliative care. Future research is needed to confirm the factor structure identified in this study. [ABSTRACT FROM AUTHOR]

Quinoa has a high nutraceutical potential because of the presence of secondary metabolites called saponins, which have industrial and medicinal uses and protect against attacks by pathogens. These compounds are found especially in the seed coat and give the grain a bitter taste; therefore, they must be eliminated before consumption. Despite the potential use in Colombia, there are few studies aimed at quantifying this metabolite. Therefore, the objective of this research was to evaluate two extraction methodologies (physical and chemical) and two methods for quantifying saponins in five quinoa genotypes grown in Colombia. The most efficient extraction method was the physical method. The saponin contents of the five genotypes were variable. The cluster analysis differentiated the genotypes into two groups: low saponin content (<4.49 mg/g seed) and high saponin content (>14.76 mg/g seeds). Blanca de Jericó had the lowest saponin content (<0.40%), and Amarilla de Maranganí had the highest content (>0.18%). Identifying more efficient methodologies for extracting and quantifying saponins will allow a better characterization of the germplasm and selection of genotypes with desirable characteristics for both consumption and industrial use. [ABSTRACT FROM AUTHOR]

With the technological advancements of the modern era, the easy availability of image editing tools has dramatically minimized the costs, expense, and expertise needed to exploit and perpetuate persuasive visual tampering. With the aid of reputable online platforms such as Facebook, Twitter, and Instagram, manipulated images are distributed worldwide. Users of online platforms may be unaware of the existence and spread of forged images. Such images have a significant impact on society and have the potential to mislead decision-making processes in areas like health care, sports, crime investigation, and so on. In addition, altered images can be used to propagate misleading information which interferes with democratic processes (e.g., elections and government legislation) and crisis situations (e.g., pandemics and natural disasters). Therefore, there is a pressing need for effective methods for the detection and identification of forgeries. Various techniques are currently employed for the identification and detection of these forgeries. Traditional techniques depend on handcrafted or shallow-learning features. In traditional techniques, selecting features from images can be a challenging task, as the researcher has to decide which features are important and which are not. Also, if the number of features to be extracted is quite large, feature extraction using these techniques can become time-consuming and tedious. Deep learning networks have recently shown remarkable performance in extracting complicated statistical characteristics from large input size data, and these techniques efficiently learn underlying hierarchical representations. However, the deep learning networks for handling these forgeries are expensive in terms of the high number of parameters, storage, and computational cost. This research work presents Mask R-CNN with MobileNet, a lightweight model, to detect and identify copy move and image splicing forgeries. We have performed a comparative analysis of the proposed work with ResNet-101 on seven different standard datasets. Our lightweight model outperforms on COVERAGE and MICCF2000 datasets for copy move and on COLUMBIA dataset for image splicing. This research work also provides a forged percentage score for a region in an image. [ABSTRACT FROM AUTHOR]

This analysis gives information about length–weight relationships (LWR) for 31 fish species from different aquatic environments in the Magdalena‐Cauca River basin. Some of these species are endemic of the region and important as fishing resources. Fish were caught between 2005 and 2016, employed different fishing gears depending on the aquatic environments (portable electrofishing equipment, cast nets and gillnets). Standard length and total weight of all captured specimens were measured. New registers of LWR are presented for 26 species and new maximum values of size are given for 13 species. This study provides information for the estimation of body size models, which is important to advance our knowledge of fish and to generate recommendations that contribute to the management of these species in the aquatic systems of the Colombian Andes. [ABSTRACT FROM AUTHOR]

In Colombia, like many countries in the world, due to the increase in population of elderly people, mistreatment has increased, which has physical, psychological and social consequences for the individual and major repercussions on society. The detection of abuse is a complex task, among other aspects, due to the concealment of victims and the lack of valid, reliable detection instruments that are in keeping with the sociocultural context. Professionals responsible for dealing with these situations must have an instrument that allows early detection. The objective of this study was to adapt and validate the Family Abuse Screening Questionnaire for Elderly People in Colombia. A cross‐sectional study with mixed methods was carried out in two stages from 2017 to 2018. In the first stage, linguistic and semantic adaptation was carried out using translation, synthesis, back translation, expert analysis and pilot testing with 30 abused and non‐abused elderly people. In the second stage, the validity and reliability of the questionnaire were obtained by means of an exploratory factor analysis and Cronbach's Alpha, using STATA 13. In the results, we provided a Socially and Culturally Adapted Family Abuse Screening Questionnaire for elderly people in Colombia with a Cronbach's Alpha of 0.82, sensitivity value of 86.9% (p < 0.05) and a specificity value of 84% (p < 0.05), detecting abuse with 4 or more positive responses to abuse. The application of the screening questionnaire by health and social services professionals will prevent further damage to social and physical health in the elderly people in Colombia, as well as reduce the costs of care in institutions. [ABSTRACT FROM AUTHOR]

The perception that immigrants represent a burden to national health systems can hinder the development of policies for their inclusion in health coverage. In order to inform the development of such policies, data on the healthcare needs and healthcare spending for immigrants is required. The objective of this article is to compare the clinical characteristics and healthcare‐related expenditures of Venezuelan immigrants and non‐migrants living with HIV in Colombia. We analysed data from the Colombian High‐cost Diseases Fund from February 1, 2018 to January 31, 2019, identifying the hospital and non‐hospital expenditures per patient for Venezuelan immigrants and non‐migrant patients, in both the state‐subsidised and the contributory coverage schemes. We employed binomial negative regression models to compare expenditures between the two groups. In the contributory scheme, the average annual per‐capita expenditure for immigrants was USD $ 859.07 (SD: ± $793.37) for non‐hospital care. For non‐migrants, the average costs were 1,796.53. In the state‐subsidised scheme expenditures were higher on average, but still lower for immigrants than for non‐migrants. After adjusting by clinical and sociodemographic characteristics, non‐hospital per capita expenditures were lower for immigrants as compared with non‐migrants (25,37% lower in the state‐subsidised scheme, and 33,75% lower in the contributory scheme). Hospital expenditures were also lower, but the small sample size limited analysis. To conclude, Venezuelan immigrants living with HIV do not represent a major economic burden to the health system in Colombia. Further studies are required in order to understand if the lower healthcare expenditures of this population are the result of limitations in healthcare access, of clinical characteristics that were not assessed in this study, or of other unmeasured aspects. [ABSTRACT FROM AUTHOR]