Contagion of coronavirus disease-the first family cluster of Pakistan: a case series.

Coronavirus Disease has resulted in public health crisis all over the world. We describe the case series of a family, who travelled together to a mass gathering in Iraq, toured Syria, Lebanon, and Doha and returned to Karachi. The data describes the demographic and clinical features of these six members. There were three males and three females. One developed severe disease and died. Incubation period was between 8-14 days. Four patients were symptomatic, had diabetes mellitus and hypertension; and presented with fever. They also had bilateral airspace opacifications on chest X-ray. Our study describes familial clustering of SARS-CoV-2 and its person-to-person transmission.

Associations of parents' and adolescents' active travel behavior across various destinations - a sex/gender analysis.

BACKGROUND: Active travel behavior such as walking and cycling is associated with several health benefits. Especially the family environment seems to be important for active travel in children and adolescents. Currently, little is known regarding travel behavior in leisure time and associations of travel behavior within parent-adolescent dyads. METHODS: The present analysis is based on the German ARRIVE study (Active tRavel behavioR in the famIly enVironmEnt), which incorporated a large scale, representative cross-sectional online survey including 517 parent-child dyads consisting of adolescents (N = 517; boys = 263, girls = 254) aged 11-15 years and one of their parents (N = 517; fathers = 259, mothers = 258). Based on that survey which took place in June 2021 (during the COVID-19 pandemic), we calculated the prevalence of active travel to four commonly visited destinations (school/work, friends/relatives, shopping stores and recreational activities) using an adapted version of the travel to school questionnaire by Segura-Diaz JM, Rojas-Jimenez A, Barranco-Ruiz Y, Murillo-Pardo B, Saucedo-Araujo RG, Aranda-Balboa MJ, et al. (Int J Environ Res Public Health 17(14), 2020). In addition, we investigated the associations between parents' and adolescents' travel behavior using scores for school/work, leisure time (friends/relatives, shopping stores and recreational activities) and overall (school/work and leisure time). RESULTS: Across all destinations, prevalence of active travel in adolescents (63.08%) was higher than in parents (29.21%). Active travel to school (47.33%) as well as to work (20.43%) indicated the lowest prevalence. Linear regression models revealed significant associations in overall active travel between mothers and adolescents (girls: ß = 0.308, p < 0.001; boys: ß = 0.302, p = 0.001) and in leisure time active travel behavior between mothers and daughters (ß = 0.316, p < 0.001). Related to school/work active travel there were no associations between parents and adolescents. CONCLUSION: The associations between adolescents' and parents' travel behavior differ depending on gender: they are solely seen in mother-adolescents dyads. Furthermore, our findings conclude that travel is a routine and independent of the destination.

Hospital Access Patterns of Children With Technology Dependence.

OBJECTIVES: We studied hospital utilization patterns among children with technology dependence (CTD). We hypothesized that increasing pediatric healthcare concentration requires those caring for CTD to selectively navigate healthcare systems and travel greater distances for care. METHODS: Using 2017 all-encounter datasets from 6 US states, we identified CTD visits defined by presence of a tracheostomy, gastrostomy, or intraventricular shunt. We calculated pediatric Hospital Capability Indices for hospitals and mapped distances between patient residence, nearest hospital, and encounter facility. RESULTS: Thirty-five percent of hospitals never saw CTD. Of 37 108 CTD encounters within the remaining 543 hospitals, most emergency visits (70.0%) and inpatient admissions (85.3%) occurred within 34 (6.3%) high capability centers. Only 11.7% of visits were to the closest facility, as CTD traveled almost 4 times further to receive care. When CTD bypassed nearer facilities, they were 10 times more likely to travel to high-capability centers (95% confidence interval: 9.43-10.8), but even those accessing low-capability facilities bypassed less capable, geographically closer hospitals. Transfer was more likely in nearest and low-capability facility encounters. CTD with Medicaid insurance, Black race, or from lower socioeconomic communities had lower odds of encounters at high-capability centers and of bypassing a closer institution than those with white race, private insurance, or from advantaged communities. CONCLUSIONS: Children with technology dependence routinely bypass closer hospitals to access care in facilities with higher pediatric capability. This access behavior leaves many hospitals unfamiliar with CTD, which results in greater travel but less transfers and may be influenced by sociodemographic factors.

Comparing Travel Distance to Care and Staging of Parotid Gland Malignancies in South Dakota and Surrounding States.

BACKGROUND: Parotid gland malignancies are difficult to characterize in terms of incidence and risk factors due to their relatively rare occurrence. Common cancers often present more aggressively in rural areas, albeit occurring less frequently. Some previous studies have found increased distance to care has been linked to more advanced malignancies. This study hypothesized decreased access to parotid gland malignancy specialists (otolaryngologists or dermatologists), evaluated as longer travel distances, would be associated with more advanced staging of parotid gland malignancies. METHODS: A retrospective chart review of the Sanford Health system electronic medical record in South Dakota and surrounding states from 2008-2018 was conducted to obtain data of parotid gland malignancies, respective staging, and patient home addresses to assess distance, both driving and straight-line, to the nearest parotid gland malignancy specialist, including outreach clinics. Travel distance was categorized (0-20 miles, 20-40 miles, and 40+ miles) and compared to categorized tumor stage (early 0/I, late II/III/IV) using a Fisher's Exact test. RESULTS: Overall, chart review yielded 134 patients with parotid gland malignancies from 2008-2018 in the Sanford Health system and associated data was gathered. The malignancies were categorically organized as 52.3 percent in early stage (0/I) vs. 47.7 percent in late (II/III/IV). When comparing parotid malignancy stage to driving distance, no significant association was found when outreach clinics were excluded (p=0.938) or included (p=0.327). When comparing parotid malignancy stage to straight-line distance, no significant association was found when outreach clinics were excluded (p=0.801) or included (p=0.874). CONCLUSIONS: Although no association was established between travel distance and parotid gland malignancy staging, further studies are needed to evaluate at population levels the incidence of parotid gland malignancies in rural communities and if there are specific risk factors in these areas for these malignancies which is currently unknown.

Gender Differences in Adventure Tourists Who Practice Kayaking in Extremadura.

Adventure tourism is among the sectors that has experienced the greatest growth in participation in recent years. In addition, it provides a unique opportunity to generate different benefits for rural populations as well as for the preservation of their environment. The objective of this study was to analyze gender differences in the profile, estimated expenditure, perception of economic impact and satisfaction of adventure tourists visiting the Valle del Jerte (Extremadura, Spain) for kayaking activities. The sample was composed of 511 tourists who kayaked in the Valle del Jerte. Gender differences were analyzed by the Mann-Whitney U test in continuous variables and Pearson's chi-square test in categorical variables. The predominant profile of the kayaking tourist is Spanish, married, employed, with university education, lives with their partner with children at home, chooses a rural home for accommodation, travels with companions, uses their own car for transportation, spends 550 euros on average, has good perceptions of the economic impact of the activity on the destination and is satisfied with the kayak service received. This information is relevant for public and private organizations as well as for the local community to be able to offer services more oriented to the tourist who engages in these activities, as well as to attract more tourists.

Economic Analysis of Border Control Policies during COVID-19 Pandemic: A Modelling Study to Inform Cross-Border Travel Policy between Singapore and Thailand.

With countries progressing towards high COVID-19 vaccination rates, strategies for border reopening are required. This study focuses on Thailand and Singapore, two countries that share significant tourism visitation, to illustrate a framework for optimizing COVID-19 testing and quarantine policies for bilateral travel with a focus on economic recovery. The timeframe is the month of October 2021, when Thailand and Singapore were preparing to reopen borders for bilateral travel. This study was conducted to provide evidence for the border reopening policy decisions. Incremental net benefit (INB) compared to the pre-opening period was quantified through a willingness-to-travel model, a micro-simulation COVID-19 transmission model and an economic model accounting for medical and non-medical costs/benefits. Multiple testing and quarantine policies were examined, and Pareto optimal (PO) policies and the most influential components were identified. The highest possible INB for Thailand is US $125.94 million, under a PO policy with no quarantine but with antigen rapid tests (ARTs) pre-departure and upon arrival to enter both countries. The highest possible INB for Singapore is US $29.78 million, under another PO policy with no quarantine on both sides, no testing to enter Thailand, and ARTs pre-departure and upon arrival to enter Singapore. Tourism receipts and costs/profits of testing and quarantine have greater economic impacts than that from COVID-19 transmission. Provided healthcare systems have sufficient capacity, great economic benefits can be gained for both countries by relaxing border control measures.

Optimal Network of General Hospitals in Slovenia.

This article explores how the minimum number of general hospital locations can be determined with optimal population coverage. Due to the increasing financial problems of hospitals and the poor organization of general hospital healthcare, Slovenia is currently working to reform the healthcare system. Defining the optimal network of hospital providers is one of the key elements in reforming the healthcare system. To define the optimal network of general hospitals, the allocation-location model was used, and the maximize attendance model was used as the central method. The chief purpose of maximize attendance model is to optimize the demand attendance with respect to distance and time spent getting to the point of demand. In the analysis of optimal locations and the number of Slovenian general hospitals, we used data on the locations of settlements with their number of inhabitants and data on the Slovenian road network, based on which we defined average travel speeds on the categorized road network. The hypothetical locations of general hospitals and the number of optimally located general hospitals that provide access to the nearest provider were determined in three different time intervals. We found that the same accessibility to hospital services as provided by the existing network of general hospitals can be achieved with only ten optimally located general hospitals within a 30-min time interval. This means that two general hospitals could be rationalized or reorganized, which would bring significant savings in the field of hospital activity, which creates a large loss in the health system in Slovenia.

Health and Wellness Tourists' Motivation and Behavior Intention: The Role of Perceived Value.

In recent years, with the rapid change of people's health concept, health and wellness tourism has shown a vigorous development trend. However, existing literature has been lacking on travelers' behavioral intentions, influenced by their motivation in health and wellness tourism. To fill in this gap, we designed scales of tourists' behavioral intention and motivation in health and wellness tourism and investigated the aforementioned effects, with a sample of 493 visitors who have traveled in health and wellness tourism. Factor analysis and structural equation models were applied to explore the relations among motivation, perceived value, and behavioral intention in health and wellness tourism. The results indicate that health and wellness tourists' motivation significantly positively predicts their behavior intentions. Travelers' perceived value of health and wellness tourism significantly partially mediates the associations between their behavioral intention and escape motivation, attractive motivation, environmental motivation, as well as interpersonal motivation. No empirical evidence supports the mediating role of perceived value in the correlation between consumption motivation and behavioral intention. Health and wellness tourism industries are encouraged to meet the intrinsic motivation of travelers and make them perceive the value of this kind of tourism, which in turn promotes tourists' choice, evaluation, and satisfaction of health and wellness tourism.

Epidemic Diffusion Network of Spain: A Mobility Model to Characterize the Transmission Routes of Disease.

Human mobility drives the geographical diffusion of infectious diseases at different scales, but few studies focus on mobility itself. Using publicly available data from Spain, we define a Mobility Matrix that captures constant flows between provinces by using a distance-like measure of effective distance to build a network model with the 52 provinces and 135 relevant edges. Madrid, Valladolid and Araba/Álaba are the most relevant nodes in terms of degree and strength. The shortest routes (most likely path between two points) between all provinces are calculated. A total of 7 mobility communities were found with a modularity of 63%, and a relationship was established with a cumulative incidence of COVID-19 in 14 days (CI14) during the study period. In conclusion, mobility patterns in Spain are governed by a small number of high-flow connections that remain constant in time and seem unaffected by seasonality or restrictions. Most of the travels happen within communities that do not completely represent political borders, and a wave-like spreading pattern with occasional long-distance jumps (small-world properties) can be identified. This information can be incorporated into preparedness and response plans targeting locations that are at risk of contagion preventively, underscoring the importance of coordination between administrations when addressing health emergencies.

The Effect of Travel-Chain Complexity on Public Transport Travel Intention: A Mixed-Selection Model.

With urban expansion and traffic environment improvement, travel chains continue to grow, and the combination of travel purposes and modes becomes more complex. The promotion of mobility as a service (MaaS) has positive effects on facilitating the public transport traffic environment. However, public transport service optimization requires an accurate understanding of the travel environment, selection preferences, demand prediction, and systematic dispatch. Our study focused on the relationship between the trip-chain complexity environment and travel intention, combining the Theory of Planned Behavior (TPB) with travelers' preferences to construct a bounded rationality theory. First, this study used K-means clustering to transform the characteristics of the travel trip chain into the complexity of the trip chain. Then, based on the partial least squares structural equation model (PLS-SEM) and the generalized ordered Logit model, a mixed-selection model was established. Finally, the travel intention of PLS-SEM was compared with the travel sharing rate of the generalized ordered Logit model to determine the trip-chain complexity effects for different public transport modes. The results showed that (1) the proposed model, which transformed travel-chain characteristics into travel-chain complexity using K-means clustering and adopted a bounded rationality perspective, had the best fit and was the most effective with comparison to the previous prediction approaches. (2) Compared with service quality, trip-chain complexity negatively affected the intention of using public transport in a wider range of indirect paths. Gender, vehicle ownership, and with children/without children had significant moderating effects on certain paths of the SEM. (3) The research results obtained by PLS-SEM indicated that when travelers were more willing to travel by subway, the subway travel sharing rate corresponding to the generalized ordered Logit model was only 21.25-43.49%. Similarly, the sharing rate of travel by bus was only 32-44% as travelers were more willing to travel by bus obtained from PLS-SEM. Therefore, it is necessary to combine the qualitative results of PLS-SEM with the quantitative results of generalized ordered Logit. Moreover, when service quality, preferences, and subjective norms were based on the mean value, with each increase in trip-chain complexity, the subway travel sharing rate was reduced by 3.89-8.30%, while the bus travel sharing rate was reduced by 4.63-6.03%.

Identification of social groups and waiting pedestrians at railway platforms using trajectory data.

To investigate the impact of social groups on waiting behaviour of passengers at railway platforms a method to identify social groups through the monitoring of distances between pedestrians and the stability of those distances over time is introduced. The method allows the recognition of groups using trajectories only and thus opens up the possibility of studying crowds in public places without constrains caused by privacy protection issues. Trajectories from a railway platform in Switzerland were used to analyse the waiting behaviour of passengers in dependence of waiting time as well as the size of social groups. The analysis of the trajectories shows that the portion of passengers travelling in groups reaches up to 10% during the week and increases to 20% on the weekends. 60% of the groups were pairs, larger groups were less frequent. With increasing group size, the mean speed of the members decreases. Individuals and pairs often choose waiting spots at the sides of the stairs and in vicinity of obstacles, while larger groups wait close to the platform entries. The results indicate that passengers choose waiting places according to the following criteria and ranking: shortest ways, direction of the next intended action, undisturbed places and ensured communication. While individual passengers often wait in places where they are undisturbed and do not hinder others, the dominating comfort criterion for groups is to ensure communication. The results regarding space requirements of waiting passengers could be used for different applications. E.g. to enhance the level of service concept assessing the comfort of different types of users, to avoid temporary bottlenecks to improve the boarding and alighting process or to increase the robustness of the performance of railway platforms during peak loads by optimising the pedestrian distribution.

Reducing the burden of TB among migrants to low TB incidence countries.

BACKGROUND: International migrants to low TB incidence countries are disproportionately affected by TB compared to the native population: migrants are at increased risk for TB transmission and TB disease due to a variety of personal, environmental and socio-economic determinants experienced during the four phases of migration (pre-departure, transit, arrival and early settlement, return travel).OBJECTIVE: To provide an up-to-date overview of the determinants that drive the TB burden among migrants, as well as effective and feasible interventions to address this for each migration phase.METHODS: We conducted a literature review by searching PubMed and the grey literature for articles and reports on determinants and interventions addressing migrant health and TB.RESULTS: Lowering the risk of TB transmission and TB disease among migrants would be most effective by improving the socio-economic position of migrants pre-, during and after migration, ensuring universal health coverage, and providing tailored and migrant-sensitive care and prevention activities.CONCLUSION: In addition to migrant-sensitive health services and cross-border collaboration between low TB incidence countries, there is a need for international financial and technical support for endemic countries.

TransCode: Uncovering COVID-19 transmission patterns via deep learning.

BACKGROUND: The heterogeneity of COVID-19 spread dynamics is determined by complex spatiotemporal transmission patterns at a fine scale, especially in densely populated regions. In this study, we aim to discover such fine-scale transmission patterns via deep learning. METHODS: We introduce the notion of TransCode to characterize fine-scale spatiotemporal transmission patterns of COVID-19 caused by metapopulation mobility and contact behaviors. First, in Hong Kong, China, we construct the mobility trajectories of confirmed cases using their visiting records. Then we estimate the transmissibility of individual cases in different locations based on their temporal infectiousness distribution. Integrating the spatial and temporal information, we represent the TransCode via spatiotemporal transmission networks. Further, we propose a deep transfer learning model to adapt the TransCode of Hong Kong, China to achieve fine-scale transmission characterization and risk prediction in six densely populated metropolises: New York City, San Francisco, Toronto, London, Berlin, and Tokyo, where fine-scale data are limited. All the data used in this study are publicly available. RESULTS: The TransCode of Hong Kong, China derived from the spatial transmission information and temporal infectiousness distribution of individual cases reveals the transmission patterns (e.g., the imported and exported transmission intensities) at the district and constituency levels during different COVID-19 outbreaks waves. By adapting the TransCode of Hong Kong, China to other data-limited densely populated metropolises, the proposed method outperforms other representative methods by more than 10% in terms of the prediction accuracy of the disease dynamics (i.e., the trend of case numbers), and the fine-scale spatiotemporal transmission patterns in these metropolises could also be well captured due to some shared intrinsically common patterns of human mobility and contact behaviors at the metapopulation level. CONCLUSIONS: The fine-scale transmission patterns due to the metapopulation level mobility (e.g., travel across different districts) and contact behaviors (e.g., gathering in social-economic centers) are one of the main contributors to the rapid spread of the virus. Characterization of the fine-scale transmission patterns using the TransCode will facilitate the development of tailor-made intervention strategies to effectively contain disease transmission in the targeted regions.

Topics and destinations in comments on YouTube tourism videos during the Covid-19 pandemic.

This study examines the comments posted on tourism-related YouTube videos during the Covid-19 pandemic to establish sustainable development strategies in destinations. Its objectives were: (i) to identify the topics of discussion, (ii) to establish the perceptions of tourism in a pandemic crisis, and (iii) to identify the destinations mentioned. The data was collected between January and May 2020. 39,225 comments were extracted in different languages and globally through the YouTube API. The data processing was carried out using the word association technique. The results show that the most discussed topics were: "people," "country," "tourist," "place," "tourism," "see," "visit," "travel," "covid-19," "life," and "live," which are the focus of the comments made on the perceptions found and represent the attraction factors shown by the videos and the emotions perceived in the comments. The findings show that users' perceptions are related to risks since the "Covid-19" pandemic is associated with the impact on tourism, people, destinations, and affected countries. The destinations in the comments were: India, Nepal, China, Kerala, France, Thailand, and Europe. The research has theoretical implications concerning tourists' perceptions of destinations since new perceptions associated with destinations during the pandemic are shown. Such concerns involve tourist safety and work at the destinations. This research has practical implications since, during the pandemic, companies can develop prevention plans. Also, governments could implement sustainable development plans that contain measures so that tourists can make their trips during a pandemic.

Personality variation is eroded by simple social behaviours in collective foragers.

The movement of groups can be heavily influenced by 'leader' individuals who differ from the others in some way. A major source of differences between individuals is the repeatability and consistency of their behaviour, commonly considered as their 'personality', which can influence both position within a group as well as the tendency to lead. However, links between personality and behaviour may also depend upon the immediate social environment of the individual; individuals who behave consistently in one way when alone may not express the same behaviour socially, when they may be conforming with the behaviour of others. Experimental evidence shows that personality differences can be eroded in social situations, but there is currently a lack of theory to identify the conditions where we would expect personality to be suppressed. Here, we develop a simple individual-based framework considering a small group of individuals with differing tendencies to perform risky behaviours when travelling away from a safe home site towards a foraging site, and compare the group behaviours when the individuals follow differing rules for aggregation behaviour determining how much attention they pay to the actions of their fellow group-members. We find that if individuals pay attention to the other members of the group, the group will tend to remain at the safe site for longer, but then travel faster towards the foraging site. This demonstrates that simple social behaviours can result in the repression of consistent inter-individual differences in behaviour, giving the first theoretical consideration of the social mechanisms behind personality suppression.

Understanding work-related travel and its relation to malaria occurrence in Thailand using geospatial maximum entropy modelling.

BACKGROUND: Estimating malaria risk associated with work locations and travel across a region provides local health officials with information useful to mitigate possible transmission paths of malaria as well as understand the risk of exposure for local populations. This study investigates malaria exposure risk by analysing the spatial pattern of malaria cases (primarily Plasmodium vivax) in Ubon Ratchathani and Sisaket provinces of Thailand, using an ecological niche model and machine learning to estimate the species distribution of P. vivax malaria and compare the resulting niche areas with occupation type, work locations, and work-related travel routes. METHODS: A maximum entropy model was trained to estimate the distribution of P. vivax malaria for a period between January 2019 and April 2020, capturing estimated malaria occurrence for these provinces. A random simulation workflow was developed to make region-based case data usable for the machine learning approach. This workflow was used to generate a probability surface for the ecological niche regions. The resulting niche regions were analysed by occupation type, home and work locations, and work-related travel routes to determine the relationship between these variables and malaria occurrence. A one-way analysis of variance (ANOVA) test was used to understand the relationship between predicted malaria occurrence and occupation type. RESULTS: The MaxEnt (full name) model indicated a higher occurrence of P. vivax malaria in forested areas especially along the Thailand-Cambodia border. The ANOVA results showed a statistically significant difference between average malaria risk values predicted from the ecological niche model for rubber plantation workers and farmers, the two main occupation groups in the study. The rubber plantation workers were found to be at higher risk of exposure to malaria than farmers in Ubon Ratchathani and Sisaket provinces of Thailand. CONCLUSION: The results from this study point to occupation-related factors such as work location and the routes travelled to work, being risk factors in malaria occurrence and possible contributors to transmission among local populations.

Stem-Loop Structures in Iron-Regulated mRNAs of Giardia duodenalis.

Giardia duodenalis is a significant cause of waterborne and foodborne infections, day-care center outbreaks, and traveler's diarrhea worldwide. In protozoa such as Trichomonas vaginalis and Entamoeba histolytica, iron affects the growth, pathogenicity mechanisms, and expression of virulence genes. One of the proposed iron regulatory mechanisms is at the post-transcriptional level through an IRE/IRP-like (iron responsive element/iron regulatory protein) system. Recently, the expression of many putative giardial virulence factors in the free-iron levels has been reported in subsequent RNAseq experiments; however, the iron regulatory mechanism remains unknown. Thus, this work aimed to determine the effects of iron on the growth, gene expression, and presence of IRE-like structures in G. duodenalis. First, the parasite's growth kinetics at different iron concentrations were studied, and the cell viability was determined. It was observed that the parasite can adapt to an iron range from 7.7 to 500 µM; however, in conditions without iron, it is unable to survive in the culture medium. Additionally, the iron modulation of three genes was determined by RT-PCR assays. The results suggested that Actin, glucosamine-6-phosphate deaminase, and cytochrome b5 mRNA were down-regulated by iron. To investigate the presence of IRE-like structures, in silico analyses were performed for different mRNAs from the Giardia genome database. The Zuker mfold v2.4 web server and theoretical analysis were used to predict the secondary structures of the 91 mRNAs analyzed. Interestingly, the iron-induced downregulation of the genes analyzed corresponds to the location of the stem-loop structures found in their UTR regions. In conclusion, iron modulates the growth and expression of specific genes, likely due to the presence of IRE-like structures in G. duodenalis mRNAs.

Out-of-State Travel for Abortion among Texas Residents following an Executive Order Suspending In-State Services during the Coronavirus Pandemic.

During the COVID-19 pandemic, existing and new abortion restrictions constrained people's access to abortion care. We assessed Texas abortion patients' out-of-state travel patterns before and during implementation of a state executive order that prohibited most abortions for 30 days in 2020. We received data on Texans who obtained abortions between February and May 2020 at 25 facilities in six nearby states. We estimated weekly trends in the number of out-of-state abortions related to the order using segmented regression models. We compared the distribution of out-of-state abortions by county-level economic deprivation and distance traveled. The number of Texas out-of-state abortions increased 14% the week after (versus before) the order was implemented (incidence rate ratio [IRR] = 1.14; 95% CI: 0.49, 2.63), and increased weekly while the order remained in effect (IRR = 1.64; 95% CI: 1.23, 2.18). Residents of the most economically disadvantaged counties accounted for 52% and 12% of out-of-state abortions before and during the order, respectively (p < 0.001). Before the order, 38% of Texans traveled ≥250 miles one way, whereas during the order 81% traveled ≥250 miles (p < 0.001). Texans' long-distance travel for out-of-state abortion care and the socioeconomic composition of those less likely to travel reflect potential burdens imposed by future abortion bans.