Travel Distance Research Articles

Cost of transport is a barrier to access to headache care in sub-Saharan Africa: An observational study in an HIV-positive population

IntroductionHeadache disorders are the largest contributor to all years lived with disability attributed to neurological disorders. In sub-Saharan Africa (SSA), with 1.2 billion inhabitants, headache prevalence is similar to that of Western countries but with widely inadequate access to care. Cost of transport to healthcare facilities hampers access to care, leading to abandonment and low retention. The aim of this observational study in Malawi was to investigate cost of transport and its likely impact on implementation of WHO's-Intersectoral Global Action Plan (IGAP) in an HIV+ population also complaining of, and requiring treatment for, an active headache disorder. MethodsThe study was conducted at the Disease Relief through Excellent and Advanced Means (DREAM) centre in Blantyre, Malawi, in collaboration with the Global Campaign against Headache as an extension of a previous study. Enquiries about distance and costs of travel were added to the previously published questionnaire. ResultsWe included 495 consecutive HIV+ patients aged 6–65 years who had been followed for at least 1 year. One-year prevalence of any headache was 76.6%; 28.7% missed at least one appointment because of transport costs. Higher costs of transport were associated with higher probability of missing visits (p < 0.001), while costs were higher for those living in rural areas than for those in urban (p < 0.001). ConclusionsAwareness of cost and affordability of transport in SSA may suggest strategies to improve access to headache care. Given the disability attributable to headache, this is necessary if the IGAP strategic objectives and targets are to be achieved.

Taxi Travel Distance Clustering Method Based on Exponential Fitting and k-Means Using Data from the US and China

The taxi travel distance distribution can be used to forecast the origin and destination (OD) distribution of taxis and private cars. Most of the existing studies on taxi trip distributions have summarized a “low–high–low” trend and approached zero at both ends; however, they failed to explain the reason for this distance distribution. The key indicators and parameters identified by various researchers using big data for the same city and year typically differ, especially in terms of the mode and mean values of distance and time. This study uses New York yellow and green taxi data (a total of 417,018,811 data points) from 2017 to 2022, as well as data from China, to obtain a general law of the taxi travel distance distribution through an analysis of the relative distance and relative frequency. The travel mode was 0.54 times the relative distance, while the data tended towards zero at 2.0 times the relative distance. We verified the reliability of the research method based on reference and survey data. The results reveal the formation mechanism of the taxi travel distance distribution characteristics, which follow an exponential distribution. These laws can be used in the context of urban planning and transportation research. We propose a taxi form distance clustering method based on the k-means approach, chosen for its effectiveness on large datasets, interpretability, and alignment with our research objectives. This method provides visual results for the travel distance and accurate information for urban transportation planning and taxi services. The practical implications for policymakers, urban planners, and taxi services are discussed, demonstrating how the identified travel distance distribution laws can influence urban planning and taxi service optimization. Finally, the problems of data collection, cleaning, and processing are identified from the perspective of data statistics and analysis.

Retrospective Cohort Study on the Impact of Travel Distance on Late-Stage Oral Cancer Treatment and Outcomes: An NCDB Analysis.

The National Comprehensive Cancer Network guidelines provide evidence-based consensus for optimal individual site- and stage-specific treatments. This is a cohort study of 11,121 late-stage oral cancer patients in the National Cancer Database from 2010 to 2016. We hypothesized that patient travel distance may affect treatment choices and impact outcome. We split travel distance (miles) into quartiles (D1-4) and assessed treatment choices, type of facility, and survival outcome in relation to distance traveled. Univariate and multivariate analyses addressed contributions of specific variables. White patients were most likely to travel farthest (D4) for treatment compared to Black patients (D1). Urban area patients traveled shorter distances than those from rural areas. Greater travel distance was associated with patients undergoing surgical-based therapies and treatment at academic centers. Patients in D1 had the lowest median survival of all distance quartiles. Surgery-based multimodality treatment (surgery and radiation) had a median survival significantly greater than for non-surgical therapy. Several factors including travel distance and treatment facility were associated with survival outcomes for late-stage oral cavity cancers. Consideration of these factors may help improve the outcome for this patient population.

Travel Demand Models for Visitors to Pasar Baru Banggai, Banggai Laut Regency, Indonesia

Pasar Baru Banggai in Banggai Laut Regency is a crucial economic and social center for the local community. This article aims to analyze the factors influencing the travel demand of people to this market. Various aspects such as income, travel distance, travel time, product completeness, and market area were analyzed in depth. The methodology used includes field surveys, participatory observation, and secondary data analysis from relevant sources. The research sample was conducted using stratified sampling with strata based on visit frequency (daily, weekly, and monthly visitors) and potential visitors to the market. The total sample size was set at 100 visitors, which is a combination of all samples from each stratum as the final sample in this study. The research results show that income, travel distance, travel time, completeness of goods sold, and market area are the main factors attracting people to visit Pasar Baru Banggai, following the mathematical model Y = 0.858 + 0.182(X1) + 0.183(X2) + 0.112(X3) + 0.162( X7) + 0.145(X8). Additionally, this market also provides quality local products that meet the needs of the local community, further strengthening its position as the regional economic center. Based on this analysis, several recommendations are proposed to enhance the attractiveness and function of Pasar Baru Banggai, including improving supporting infrastructure, promoting local products, empowering traders through training and support, and implementing efficient market management. With these measures, it is hoped that Pasar Baru Banggai can continue to grow and provide greater benefits to the people of Banggai Laut Regency, as well as contribute to the improvement of the region's economic and social welfare.

A Hybrid Genetic Algorithm Approach based on Patient Classification to Optimize Home Health Care Scheduling and Routing

This study aims to solve the multi-objective problem of home healthcare scheduling and routing. The former’s objectives are to upgrade the travel distance, the workload balance, and the waiting time of caregivers. A novel approach was proposed based on patient and caregiver clustering with the K-means++ algorithm in the first step and a hybrid genetic algorithm to optimize the global operation in the second step. The problem was solved regarding the deterministic and the uncertain aspect. The uncertain parameter investigated is the number of patients. A numeric study was conducted to prove the performance of the recommended approach using the Solomon Benchmark.

Mobile vaccination units to increase COVID-19 vaccination uptake in areas with lower coverage: a within-neighbourhood analysis using national registration data, the Netherlands, September-December 2021.

BackgroundVaccine uptake differs between social groups. Mobile vaccination units (MV-units) were deployed in the Netherlands by municipal health services in neighbourhoods with low uptake of COVID-19 vaccines.AimWe aimed to evaluate the impact of MV-units on vaccine uptake in neighbourhoods with low vaccine uptake.MethodsWe used the Dutch national-level registry of COVID-19 vaccinations (CIMS) and MV-unit deployment registrations containing observations in 253 neighbourhoods where MV-units were deployed and 890 contiguous neighbourhoods (total observations: 88,543 neighbourhood-days). A negative binomial regression with neighbourhood-specific temporal effects using splines was used to study the effect.ResultsDuring deployment, the increase in daily vaccination rate in targeted neighbourhoods ranged from a factor 2.0 (95% confidence interval (CI): 1.8-2.2) in urbanised neighbourhoods to 14.5 (95% CI: 11.6-18.0) in rural neighbourhoods. The effects were larger in neighbourhoods with more voters for the Dutch conservative Reformed Christian party but smaller in neighbourhoods with a higher proportion of people with non-western migration backgrounds. The absolute increase in uptake over the complete intervention period ranged from 0.22 percentage points (95% CI: 0.18-0.26) in the most urbanised neighbourhoods to 0.33 percentage point (95% CI: 0.28-0.37) in rural neighbourhoods.ConclusionDeployment of MV-units increased daily vaccination rate, particularly in rural neighbourhoods, with longer travel distance to permanent vaccination locations. This public health intervention shows promise to reduce geographic and social health inequalities, but more proactive and long-term deployment is required to identify its potential to substantially contribute to overall vaccination rates at country level.

Non-adherence to recommended adjuvant radiation after total laryngectomy

ObjectivesInvestigate trends and associated factors in guideline adherence to adjuvant radiation therapy in locally advanced laryngeal and hypopharyngeal cancer after primary total laryngectomy (TL). MethodsPreviously untreated, non-metastatic patients who underwent TL for pathologic T4 larynx or hypopharynx squamous cell carcinoma (SCC) were queried using the National Cancer Database (NCDB). Patients were excluded if they had regional or distant metastasis or positive margins. Patient characteristics were evaluated for association with non-adherence to adjuvant radiation by logistic regression analysis. Association between non-adherence and overall survival (OS) was investigated by Cox proportional hazard analysis. ResultsAmong 2823 eligible T4 N0 patients, 841 (29.8 %) did not receive adjuvant radiation. Associated factors include increasing age, a Charlson Comorbidity Index of 2, greater per-mile distance to treatment center, and treatment at an academic cancer center. Delivery of adjuvant radiation was associated with improved OS on multivariable (HR 0.82, 95 % CI 0.72–0.93) analysis. ConclusionsWithin the NCDB, non-adherence to adjuvant radiation treatment after TL for pathologically T4 N0 larynx and hypopharynx SCC is common. Older patients with more comorbidities and greater travel distance may be at higher risk for non-adherence. Treatment at an academic cancer center is associated with non-adherence to recommended adjuvant radiation. Lack of adjuvant radiation is associated with worse overall survival.

When tourism intersects traditional rural livelihoods: A case study on lagoon fishing in Thừa Thiên Huế Province, Vietnam

ABSTRACT Tourism development is an oft-touted strategy to enhance the livelihoods of local residents and reduce their dependence on resources. This study explores the determinants of lagoon fishermen’s participation in tourism-related activities and evaluates whether tourism is an alternative livelihood option for Thừa Thiên Huế Province, Vietnam. We employed propensity score matching to analyze the survey data from 265 households in the coastal area of the lagoon. Our study indicates that tourism cannot provide a sustainable livelihood for local residents if the locals forego their traditional livelihood practices and completely transform the region into a tourist attraction, even though it can contribute to increasing household income. Other factors, such as low levels of education and larger travel distances between the lagoons and existing tourist areas, are the primary barriers to fishermen participation in tourism. Finally, we analyzed the related policy and managerial implications to improve tourism and diversify the locals’ livelihoods.

The effects of free prescriptions on community pharmacy selection: A discrete choice experiment

BackgroundLittle is known about preferences for community pharmacies, particularly the influence of prescription co-payments, and for New Zealand's priority populations, Māori and Pacific Peoples. Improving understanding of community pharmacy preferences will enable tailoring services to meet community needs. ObjectivesThis study aims to investigate New Zealanders’ preferences for community pharmacies when collecting prescriptions. Additionally, variations in preferences for community pharmacy attributes between different latent and demographic groups were examined. MethodsFocus group discussions with various community groups were thematically analyzed to develop six attributes: location, wait time, customer service, prescription co-payments, parking availability, and nearby businesses. Participants were asked to complete an online survey involving 12 choice tasks, where they had to choose their preferred option of 3 unlabeled pharmacies along with demographic questions. A mixed multinomial logit model and latent classes analysis were used to assess and compare the participant preferences. ResultsThe sample of 553 participants, representative of the New Zealand population, resulted in 19,908 observations for analysis. The most attractive pharmacy attribute was its proximity, being within a 10-min travel distance from home or work. The importance of prescription co-payments is evident, with free prescriptions being the second most attractive attribute level and $15 NZD prescription co-payments being the least appealing. Different classes placed importance on different attributes, the largest of which prioritized prescription co-payments. Including demographic characteristics did not improve model accuracy nor predict class membership. ConclusionsUnder current policy, the most effective way for pharmacies to attract business is by offering free prescriptions. However, the trend of adopting lower-cost models may reduce the quality of care they deliver. Policy decision-makers must decide if they are comfortable with this potential impact.

Shallow-landslide stability evaluation in loess areas according to the Revised Infinite Slope Model: a case study of the 7.25 Tianshui sliding-flow landslide events of 2013 in the southwest of the Loess Plateau, China

Abstract. The occurrence of shallow loess landslides induced by prolonged heavy rainfall is prevalent in loess-dominated regions, often leading to property damage, human casualties, and sediment pollution. Developing an accurate prediction model for shallow landslides in loess areas is crucial for effective landslide mitigation. In 2013, prolonged heavy rains from 19–25 July triggered mass sliding-flow loess landslides in Tianshui, China. Landslide data, along with the characteristics of the sliding-flow loess landslides, were obtained through extensive field investigations and remote sensing interpretations. The sliding-flow loess landslide event demonstrated clustering, high density, small areas, and long travel distance. The depth of the sliding surface is correlated with the saturated layer resulting from rainfall infiltration; it is typically less than 2 m deep and negatively correlated with slope steepness. Based on the common characteristics of shallow loess landslides, the mechanisms involved in the sliding-flow landslide are proposed. The Revised Infinite Slope Model (RISM) was introduced using an equal differential unit method to address deficiencies when the safety factor remains constant or increases with increasing slope greater than 40°, as calculated using the Taylor slope infinite model. The relationship between the critical depth and the slope of the shallow loess landslide was determined. The intensity–duration (I–D) prediction curve of the rainfall-induced shallow loess landslides for different slopes was constructed and combined with the characteristics of rainfall infiltration for use in forecasting regional shallow loess landslides. Additionally, the influence of loess strength on the shallow loess landslide stability was analyzed. The shallow loess landslide stability responds to slope and cohesion but is not sensitive to the internal friction angle.

Experimental backward integration for state-dependent differential Riccati equation (SDDRE): A case study on flapping-wing flying robot

Backward integration (BI) is a classical approach for solving optimal control arising from linear quadratic regulator (LQR) design in differential form. It proposes a two-round solution, the first one starting from a final boundary condition to the initial one to generate the optimal gain, and the next one, solving the control system in a forward loop. Implementation of the BI on the nonlinear optimal control, the state-dependent differential Riccati equation (SDDRE), is a challenge since in the backward loop, the state information is missing and is not straightforward like the LQR. Hence, a control for backward motion is required to regulate the system from the terminal to the initial desired states. While there have been some valuable works on the theoretical implementation of the BI in simulations for the SDDRE, this approach has not been reported in experiments for the best knowledge of the authors. Here in this work, the SDDRE is solved using the BI and two backward and forward solution steps, and it is experimentally applied for a flapping-wing flying robot (FWFR). The execution of the control system is done onboard using Raspberry Pi 4B as the processor which has limited computational capacity. The trajectory tracking of a line in a closed limited space is proposed for the FWFR flight. The objective is to position the robot bird at the corner of the rectangular limited space with minimum error in translation. The results have been presented for 21 flights to show the repeatability and presented the best-case minimum error of 10 (cm) at the end of the trajectory, in the YZ-plane. Considering approximately 12 (m) flight path, the error is found less than 1 percent of the travel distance. The results were compared with forward integration to confirm the correctness of the computation. The experimental flight dataset, MATLAB simulation codes, and experimental Python codes are available as supplementary material for this work in the online version of the paper.

Enhancing Sustainability in Health Tourism through an Ontology-Based Booking Application for Personalized Packages

Currently, health tourists primarily rely on independent facilitators to manage and book their medical appointments and vacation plans. There is a notable absence of dedicated booking applications for health tourism packages. This paper proposes HealthTourismHub, an application designed to provide personalized packages that include medical appointments, accommodation options, and recommended tourism activities. It also serves as a platform for medical experts and accommodation providers, allowing health tourists to discover and connect with them, promoting local resources, and contributing to the sustainable growth of health tourism destinations. To incorporate personalization, HealthTourismHub uses an ontology that organizes medical and tourism data, along with a reasoner that generates new knowledge. This approach enables the application to offer customized packages and identify the most suitable providers for each user. Providers are strategically paired and located in close proximity, encouraging shorter travel distances and more efficient travel planning, with the package also including personalized tourism recommendations that benefit the local economy and contribute to a conscious tourism industry. A survey was conducted to assess the usability of the application and general perspectives towards health tourism, including motivations, concerns, and preferences. The results revealed an above-average SUS score, indicating that users found the application user-friendly and effective. Some areas for improvement were identified, such as error handling and additional functionalities. Nonetheless, HealthTourismHub shows great potential as a pioneer in the field of sustainable health tourism applications.

An integrated approach to analyze equitable access to food stores under disasters from human mobility patterns.

Limited access to food stores is often linked to higher health risks and lower community resilience. Socially vulnerable populations experience persistent disparities in equitable food store access. However, little research has been done to examine how people's access to food stores is affected by natural disasters. Previous studies mainly focus on examining potential access using the travel distance to the nearest food store, which often falls short of capturing the actual access of people. Therefore, to fill this gap, this paper incorporates human mobility patterns into the measure of actual access, leveraging large-scale mobile phone data. Specifically, we propose a novel enhanced two-step floating catchment area method with travel preferences (E2SFCA-TP) to measure accessibility, which extends the traditional E2SFCA model by integrating actual human mobility behaviors. We then analyze people's actual access to grocery and convenience stores across both space and time under the devastating winter storm Uri in Harris County, Texas. Our results highlight the value of using human mobility patterns to better reflect people's actual access behaviors. The proposed E2SFCA-TP measure is more capable of capturing mobility variations in people's access, compared with the traditional E2SFCA measure. This paper provides insights into food store access across space and time, which could aid decision making in resource allocation to enhance accessibility and mitigate the risk of food insecurity in underservedareas.

The perspectives of caregivers and health service providers on barriers to clubfoot management in Puri-Urban health facility in Ghana.

Clubfoot is a common disabling condition that is prevalent across all populations. Approximately, one out of 750 children globally suffers from clubfoot, and around 150,000 to 200,000 children are born with clubfoot every year with 80% of the cases occurring in developing countries. Clubfoot can result in mobility impairments when not properly managed and researchers have argued that understanding knowledge and perceptions are key components to early identification and effective management of clubfoot. The study explored the barriers to clubfoot management from the perspectives of caregivers and healthcare providers in Duayaw Nkwanta, Ghana. A total of 26 participants made up of 22 caregivers of children with clubfoot and six healthcare providers were purposively sampled for the study guided by a set of inclusion and exclusion criteria. Qualitative data were collected using a semi-structured interview guide through in-depth face-to-face interviews. Interviews were transcribed and analyzed thematically and presented as findings. High cost of treatment, long travel distance, long hours spent at the treatment facility, non-availability of clubfoot treatment services, late reporting of clients for treatment, and non-compliance of parents/caregivers with treatment protocols were identified as the barriers to effective management of clubfoot. These findings have substantial implications for current interventions to effectively manage clubfoot in Ghana.

Spatial inequities in access to medications for treatment of opioid use disorder highlight scarcity of methadone providers under counterfactual scenarios.

Access to treatment and medication for opioid use disorder (MOUD) is essential in reducing opioid use and associated behavioral risks, such as syringe sharing among persons who inject drugs (PWID). Syringe sharing among PWID carries high risk of transmission of serious infections such as hepatitis C and HIV. MOUD resources, such as methadone provider clinics, however, are often unavailable to PWID due to barriers like long travel distance to the nearest methadone provider and the required frequency of clinic visits. The goal of this study is to examine the uncertainty in the effects of travel distance in initiating and continuing methadone treatment and how these interact with different spatial distributions of methadone providers to impact co-injection (syringe sharing) risks. A baseline scenario of spatial access was established using the existing locations of methadone providers in a geographical area of metropolitan Chicago, Illinois, USA. Next, different counterfactual scenarios redistributed the locations of methadone providers in this geographic area according to the densities of both the general adult population and according to the PWID population per zip code. We define different reasonable methadone access assumptions as the combinations of short, medium, and long travel distance preferences combined with three urban/suburban travel distance preference. Our modeling results show that when there is a low travel distance preference for accessing methadone providers, distributing providers near areas that have the greatest need (defined by density of PWID) is best at reducing syringe sharing behaviors. However, this strategy also decreases access across suburban locales, posing even greater difficulty in regions with fewer transit options and providers. As such, without an adequate number of providers to give equitable coverage across the region, spatial distribution cannot be optimized to provide equitable access to all PWID. Our study has important implications for increasing interest in methadone as a resurgent treatment for MOUD in the United States and for guiding policy toward improving access to MOUD among PWID.

Collapse of neutrino wave functions under Penrose gravitational reduction

Models of spontaneous wave function collapse have been postulated to address the measurement problem in quantum mechanics. Their primary function is to convert coherent quantum superpositions into incoherent ones, with the result that macroscopic objects cannot be placed into widely separated superpositions for observably prolonged times. Many of these processes will also lead to loss of coherence in neutrino oscillations, producing observable signatures in the flavor profile of neutrinos at long travel distances. The majority of studies of neutrino oscillation coherence to date have focused on variants of the continuous state localization model, whereby an effective decoherence strength parameter is used to model the rate of coherence loss with an assumed energy dependence. Another class of collapse models that have been proposed posit connections to the configuration of gravitational field accompanying the mass distribution associated with each wave function that is in the superposition. A particularly interesting and prescriptive model is Penrose’s description of gravitational collapse which proposes a decoherence time τ determined through Egτ∼ℏ, where Eg is a calculable function of the Newtonian gravitational potential. Here we explore application of the Penrose collapse model to neutrino oscillations, reinterpreting previous experimental limits on neutrino decoherence in terms of this model. We identify effects associated with both spatial collapse and momentum diffusion, finding that the latter is ruled out in data from the IceCube South Pole Neutrino Observatory so long as the neutrino wave packet width at production is σν,x≤2×10−12 m. Published by the American Physical Society 2024

The DREAM Implant: A Lightweight, Modular, and Cost-Effective Implant System for Chronic Electrophysiology in Head-Fixed and Freely Behaving Mice.

Chronic electrophysiological recordings in rodents have significantly improved our understanding of neuronal dynamics and their behavioral relevance. However, current methods for chronically implanting probes present steep trade-offs between cost, ease of use, size, adaptability, and long-term stability. This protocol introduces a novel chronic probe implant system for mice called the DREAM (Dynamic, Recoverable, Economical, Adaptable, and Modular), designed to overcome the trade-offs associated with currently available options. The system provides a lightweight, modular and cost-effective solution with standardized hardware elements that can be combined and implanted in straightforward steps and explanted safely for recovery and multiple reuse of probes, significantly reducing experimental costs. The DREAM implant system integrates three hardware modules: (1) a microdrive that can carry all standard silicon probes, allowing experimenters to adjust recording depth across a travel distance of up to 7 mm; (2) a three-dimensional (3D)-printable, open-source design for a wearable Faraday cage covered in copper mesh for electrical shielding, impact protection, and connector placement, and (3) a miniaturized head-fixation system for improved animal welfare and ease of use. The corresponding surgery protocol was optimized for speed (total duration: 2 h), probe safety, and animal welfare. The implants had minimal impact on animals' behavioral repertoire, were easily applicable in freely moving and head-fixed contexts, and delivered clearly identifiable spike waveforms and healthy neuronal responses for weeks of post-implant data collection. Infections and other surgery complications were extremely rare. As such, the DREAM implant system is a versatile, cost-effective solution for chronic electrophysiology in mice, enhancing animal well-being, and enabling more ethologically sound experiments. Its design simplifies experimental procedures across various research needs, increasing accessibility of chronic electrophysiology in rodents to a wide range of research labs.

Effect of COVID-19 Shelter-In-Place Orders on Visual Outcomes of Ophthalmic Surgical Emergencies

ABSTRACT Purpose To compare the outcomes of ophthalmic surgical emergencies during shelter-in-place (SIP) order with the corresponding period in 2019. Methods This retrospective cohort study compared patients presenting to the Bascom Palmer Eye Institute (BPEI) emergency department (ED) who underwent urgent surgery during the SIP period (March 23–May 17, 2020), compared to the same weeks in 2019 (non-SIP). Main outcome measures included symptom-to-ED time, ED-to-surgical decision time, surgical decision-to-operating room (OR) time, ED-to-OR time, and postoperative follow-up time. Secondary outcome measures included travel distance, visual acuity (VA), intraocular pressure (IOP), and number of glaucoma medications. Results Seventy-six and 148 patients presented with ophthalmic surgical emergencies in the SIP and non-SIP study periods, respectively. Retinal detachment (RD), acute glaucoma, and open globe injury were the most common diagnoses in both periods. Symptom-to-ED and surgical decision-to-OR times were shorter during the SIP period. SIP patients had comparable preoperative VA but worse postoperative VA compared to non-SIP patients. During the SIP period, RD patients experienced postoperative VA reduction rather than improvement (+0.09 vs. −0.23 logMAR, p = 0.03); glaucoma patients were less likely to reach surgical decision within 24 h (OR 0.16 [95% CI 0.03–0.95]); and globe injuries had longer ED-to-surgical decision time and ED-to-OR time compared to the non-SIP period. Other outcomes were similar between both study periods. Conclusion There was reduced volume of ophthalmic surgical emergencies and worse postoperative vision during SIP compared to the non-SIP period, despite shorter symptom-to-ED and surgical decision-to-OR times suggesting minimal delays in seeking or receiving care.

Reader Response: Patient Travel Distance to Neurologist Visits

Reader Response: Patient Travel Distance to Neurologist Visits

Editors' Note: Patient Travel Distance to Neurologist Visits

Editors' Note: Patient Travel Distance to Neurologist Visits