We consider corrections to the Bekenstein Hawking Area Formula for black hole entropy, which have inverse powers of the horizon area for very large horizon areas, for classical spherically symmetric black hole solutions of F(R) modified gravity theory, using the Wald formula for the entropy function with modifications suggested by Jacobson, Kang and Myers. Requiring that the coefficient of such corrections be absolutely consistent with gravitational wave observational results validating the Hawking Area Theorem for binary black hole coalescences, implies constraints on parameters of F(R) gravity. For the sake of comparison, we present a computation of inverse area corrections for quantum black holes in quantum general relativity, using the It from Bit approach of Wheeler modified by some tenets of Loop Quantum Gravity.
ObjectiveTo characterize the epidemiology of varicella in Chongqing during 2014–2023, and establish the most suitable prediction model for the varicella incidence trends in the city, providing scientific support for early warning of the varicella incidence trend, the formulation and the optimizing of precise varicella preventive strategies.MethodsVaricella reported cases in Chongqing during 2014–2023 were collected to characterize the epidemiology, all the varicella cases were sourced from the “Information management system for infectious disease reporting.” Seasonal autoregressive integrated moving average (SARIMA) model, long short-term memory (LSTM) model and SARIMA-LSTM hybrid models were established based on the surveillance data. The fitting effects and prediction performances of the established models in this study were evaluated through root mean squared error (RMSE) and mean absolute error (MAE).ResultsIn Chongqing, 265,824 varicella cases were reported during 2014–2023, the annual average reported incidence rate is 85.99/100,000. The incidence of varicella initially increased and then fluctuated with a downward trend, showing clear seasonality. The peak incidence periods occurred in May–June and October–December each year. The average incidence rates for males and females were 88.92/100,000 and 80.94/100,000, respectively. Children under 15 years old, particularly school-aged children and students, represented the main affected population. The annual incidence rates across districts ranged from 26.90/100,000 to 145.76/100,000. The global spatial autocorrelation analysis indicate that the varicella incidence rate in Chongqing does not exhibit spatial autocorrelation in each year, while the local spatial autocorrelation analysis identified “hotspot” areas primarily concentrated in the main urban metropolitan area. Among the three prediction models based on the monthly incidence rate of varicella from January 2023 to December 2023, LSTM model has the best prediction performance, with RMSE and MAE of 1.52 and 1.19, respectively. The RMSE and MAE of the SARIMA model are 1.91 and 1.49, respectively, while the RMSE and MAE of the SARIMA-LSTM model are 1.99 and 1.47, respectively.ConclusionSustained and effective measures need to be adopted to better curb the spread and prevalence of varicella, particularly among children and adolescents, as well as in the central urban areas and other high-incidence regions. The LSTM model can effectively predict varicella incidence trends, providing scientific evidence to assist relevant authorities in making decisions regarding varicella prevention and control.
Moritz Schneider, Lukas Halekotte, Tina Comes
et al.
In flood disasters, decision-makers have to rapidly prioritise the areas that need assistance based on a high volume of information. While approaches that combine GIS with Bayesian networks are generally effective in integrating multiple spatial variables and can thus reduce cognitive load, existing models in the literature are not equipped to address the time pressure and information-scape that is typical in a flood. To address the lack of a model for area prioritisation in flood disaster response, we present a novel decision support system that adheres to the time and information characteristics of an ongoing flood to infer the areas with the highest risk. This decision support system is based on a novel GIS-informed Bayesian network model that reflects the challenges of decision-making for area prioritisation. By developing the model during the preparedness phase, some of the most time-consuming aspects of the decision-making process are removed from the time-critical response phase. In this way, the proposed method aims to providing rapid and transparent area prioritisation recommendations for disaster response. To illustrate our method, we present a case study of an extreme flood scenario in Cologne, Germany.
Metropolitan areas have become the primary spatial form for China’s new-era urbanization. However, these boundaries have traditionally been delineated based on administrative factors, resulting in a notable discrepancy with the actual functional connections. To tackle this challenge, this study aims to devise and implement an innovative ‘PET’ tri-dimensional coupling model, leveraging the principles of integrated urban subsystems to scientifically delineate functional metropolitan boundaries. The proposed method integrates Population flow (P), Economic density (E), and Transportation accessibility (T) on a fine-grained 1 km raster grid. To enhance accuracy, the crucial population flow component is simulated using a gravity model calibrated with real-world Baidu Migration data. Applying this model to 35 potential metropolitan areas, our findings reveal two key points. First, a comparative analysis with five officially approved plans reveals a significant spatial alignment in core functional zones, which corroborates the model’s accuracy. effectiveness. Secondly, these delineations clearly quantify the notable difference between the ‘functional space’ influenced by socioeconomic factors and the ‘administrative space’ delineated by jurisdictional boundaries. In summary, this research presents a replicable methodology for delineating functional metropolitan areas. It offers vital technical support and policy guidance for optimizing regional planning, enhancing inter-city coordination, and promoting China’s national strategy for regional development.
Resumo O objetivo deste trabalho é entender as mudanças e permanências no perfil institucional dos conselhos municipais no Brasil e analisar os fatores que influenciaram esses processos. Analisamos os bancos de dados do IBGE/Munic e construímos o Indicador de Perfil Institucional dos Conselhos Municipais (IPICM), adaptado do trabalho de Almeida et al. (2021). A partir de análise quantitativa, verificamos o fortalecimento no perfil institucional dos conselhos, relacionado, por um lado, a um processo de convergência das instituições participativas nos municípios e, por outro, da influência de variáveis como o Índice de Desenvolvimento Humano Municipal e o Índice de Gini, a população, a ideologia política dos prefeitos e o número de Organizações da Sociedade Civil (OSCs). Apesar desse avanço, percebemos que a distribuição dessas instituições ainda reproduz padrões de desigualdade territorial entre os municípios brasileiros.
Eman Ali, Hafsah Alim Ur Rahman, Usama Hussain Kamal
et al.
Introduction: Lung cancer remains the leading cause of cancer-related mortality in the United States and shares cardiovascular risk factors with chronic ischemic heart disease (CIHD). However, the cumulative mortality burden of these comorbid conditions is underexplored. This study aims to retrospectively assess mortality trends among American adults with concurrent lung cancer and CIHD. Methods: We utilized death certificate data from the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database, encompassing ICD-10 codes for individuals aged ≥45 years from 1999 to 2020. Age-adjusted mortality rates (AAMRs) per 100,000 population, annual percentage change (APC), and corresponding 95 % confidence intervals (CIs) were calculated. Data were further stratified by year, sex, race, and geographic region (state, rural-urban, and census regions). Results: A total of 214,785 deaths were identified in adults aged ≥45 years with comorbid lung cancer and CIHD. The overall AAMR between 1999 and 2020 was 8.4 per 100,000 (95 % CI: 8.3 to 8.4). AAMRs remained relatively stable from 1999 to 2005 (APC: −0.84 %; 95 % CI: −1.91 to 1.54), followed by a significant decline from 2005 to 2010 (APC: −2.37 %; 95 % CI: −5.58 to −0.61) and from 2010 to 2017 (APC: −4.72 %; 95 % CI: −7.61 to −3.60). A subsequent period of stability was noted between 2017 and 2020 (APC: 0.86 %; 95 % CI: −2.17 to 5.22). In 1999, men had a threefold higher mortality rate compared to women (AAMR: 17.8 vs. 5.7), with a non-significant decline by 2020 (AAMR: 10 vs. 4). Stratification by race/ethnicity revealed that non-Hispanic (NH) Whites exhibited the highest AAMR at 9.3, followed by NH American Indian or Alaska Natives (7.3), NH Blacks (6.8), Hispanic/Latinos (3.3), and NH Asians or Pacific Islanders (3.2). Geographically, AAMRs were highest in the Midwest (9.6), followed by the Northeast (8.8), South (8.4), and West (6.8). Non-metropolitan regions exhibited higher AAMRs compared to metropolitan areas (10.3 vs. 8.0). States in the top 90th percentile, such as West Virginia, Kentucky, Vermont, Ohio, and Rhode Island, had nearly triple the AAMRs compared to states in the lower 10th percentile, including Utah, Nevada, Arizona, New Mexico, and Hawaii. Conclusions: From 1999 to 2020, mortality rates for adults aged ≥45 years with concurrent lung cancer and CIHD declined. The highest AAMRs were observed among men, NH Whites, individuals residing in the Midwest, and non-metropolitan populations. This highlights the need for a more comprehensive and tailored approach to managing these patients moving forward.
Diseases of the circulatory (Cardiovascular) system
Prajwol Manandhar, Keren S. Pereira, Naresh Kusi
et al.
ABSTRACT Large‐scale anthropogenic developments in the metropolitan areas of Nepal and the rural to urban influx of people have exacerbated human–wildlife conflicts across human‐altered landscapes of Nepal. The Kathmandu Valley has experienced large‐scale urbanization and has subsequently witnessed substantial incidents of human–wildlife conflicts given the increasing levels of human encroachment into remnant wildlife habitats. Here, we applied DNA metabarcoding in combination with geospatial analysis to study the feeding ecology of two urban carnivores, the leopard (Panthera pardus) and the leopard cat (Prionailurus bengalensis), in the forests surrounding the Kathmandu Valley and to check whether the leopards' predation on domestic animals contributes to human‐leopard conflict in this region and to obtain a baseline data on the dietary habits of the poorly studied leopard cat. We found that leopards were highly dependent on domestic animals in areas dominated by human‐use activities (agricultural and built‐up areas), whereas leopard cats mostly predated on wild rodents. Through our work, we highlight the importance of domestic prey in the diets of urban carnivores like leopards and demonstrate the influence human‐induced habitat disturbance has on the ecology of local wildlife. This study generates critical information which will help to inform conflict mitigation strategies and conservation planning for the two carnivore species, in addition to identifying areas within the region that are susceptible to human–wildlife conflicts.
BackgroundPatients’ electronic access to their health information can improve long-term health outcomes. Few studies have evaluated barriers that may limit access to portal health information before the COVID-19 pandemic such as preference for in-person visits, lack of perceived need to use a patient portal system, and lack of comfort or experience with computers. With the increased use of telehealth during the pandemic, patients’ comfort with portal applications and digital health literacy has improved.
ObjectiveThe purpose of this study was to assess the prevalence of portal use and factors associated with patients’ portal access after the COVID-19 pandemic.
MethodsThis study used data from the 2022 National Cancer Institute’s Health Information National Trends Survey (HINTS 6). Adult patients (aged ≥18 years) who responded to the survey question about patient portal access were included. A multivariate logistic regression analysis was performed to determine characteristics associated with portal access.
ResultsA total number of 5958 patients were included (weighted n=245,721,106), with a mean age of 48.2 (20.1) years and were mostly female (119,538,392/236,138,857, 50.6%) and white (167,163,482/227,232,636, 73.6%). Overall, 61.3% (150,722,178/245,721,106) of all respondents reported accessing portals over the last 12 months and 43.7% (82,620,907/188,860,031) used multiple portals. Most participants (135,011,661/150,104,795, 89.9%) reported using portals to access test results, followed by viewing clinical notes (104,541,142/149,867,276, 69.8%) downloading personal health information (47,801,548/150,017,130, 31.9%). The likelihood of portal use significantly increased by 24.9% points (95% CI 19.4-30.5) when patients were offered access to portals by health care providers or insurers compared with those not offered access or did not know if they were offered access. The likelihood of portal use also increased by 19.5% points (95% CI 15.1-23.9) among patients with a health care provider encouraging them to access portals, compared to patients who did not receive encouragement to do so. Having a college education versus education below college level and living in metropolitan areas versus nonmetropolitan regions increased the probability of portal use by 6.9% points (95% CI 3.1-10.8) and 6.9% points (95% CI 1.3-12.6), respectively. Of note, males (compared with females) and those of Hispanic background (compared with non-Hispanic individuals) were less likely to be offered portal access by 10.8% points (95% CI 6.3-15.2) and 6.9% points (95% CI 1.7-12.1), respectively.
ConclusionsThis study demonstrates that most Americans use patient portals, though certain patient populations such as those with less than college degree education or living in nonmetropolitan areas continue to face greater difficulty accessing them. Interventions targeted at equality in offering access to patient portals and encouraging patients to use them could advance equitable and widespread access to patient portals.
Computer applications to medicine. Medical informatics, Public aspects of medicine
Saira Sanjida, Gail Garvey, Roxanne Bainbridge
et al.
Summary: Background: As cancer incidence increases globally, so does the prevalence of cancer among Indigenous peoples. Indigenous peoples face significant barriers to healthcare, including access to and uptake of surgery. To date, the synthesis of access to and uptake of surgery for Indigenous peoples living with cancer has not yet been reported. Methods: We conducted a systematic literature review and meta-analysis of access to and uptake of surgery for Indigenous peoples in Canada, Australia, New Zealand, and the United States. Five databases were searched to identify studies of Indigenous adults with cancer and those who received surgery. The Joanna Briggs Institute critical appraisal tools were used to assess the quality and inclusion of articles. Random effect meta-analyses were conducted to estimate the pooled prevalence of surgery in Indigenous people with cancer. Findings: Of the 52 studies in the systematic review, 38 were included in the meta-analysis. The pooled prevalence of surgery in Indigenous people with cancer was 56.2% (95% confidence interval (CI): 45.4–66.7%), including 42.8% (95% CI: 36.3–49.5%) in the Native Hawaiian population, 44.5% (95% CI: 38.7–50.3%) in the Inuit and 51.5% (95%CI: 36.8–65.9%) in Aboriginal and Torres Strait Islander people. Overall, Indigenous people received marginally less cancer surgery than non-Indigenous people (3%, 95% CI: 0–6%). Indigenous people were 15% (95% CI: 6–23%) less likely to receive surgery than non-Indigenous people for respiratory cancers. Remoteness, travel distance, financial barriers, and long waiting times to receive surgery were factors cited as contributing to lower access to surgery for Indigenous people compared to non-Indigenous people. Interpretation: Efforts to improve access and use of cancer services and surgery for Indigenous peoples should be multilevel to address individual factors, health services and systems, and structural barriers. These determinants need to be addressed to expedite optimal care for Indigenous peoples, especially those living in outer metropolitan areas. Funding: The Research Alliance for Urban Goori Health (RAUGH) funded this project. GG was funded by an NHMRC Investigator Grant (#1176651).
We examine the residential segregation of the Middle Eastern and North African (MENA) population, South and East Asian people, and Black from white people in the U.S. Using data from the 2012–2016 American Community Survey (ACS) and the 2012–2016 Integrated Public Use Microdata Sample (IPUMS) at the metropolitan level, descriptive analyses of segregation reveal that Black–white segregation is significantly greater than the segregation of MENA and East Asian people from white people. South Asian–white segregation is higher than Black–white segregation, but the difference is not statistically significant. Multivariate analyses of average dissimilarity indices show that relative to Black–white segregation, MENA–white, South Asian–white, and East Asian–white segregation are not significantly different after controlling for relevant variables. The results for the isolation index also follow a similar pattern. While MENA and both Asian ancestry groups are significantly less isolated than Black people in the unadjusted results, the differences in average isolation indices between Black people and these groups disappear after controlling for relevant characteristics. The results suggest evidence that supports these hypotheses in terms of spatial assimilation.
Seyed Hadi Hosseini, Saeed Shahsavari, Yasaman Poormoosa
et al.
Background and Aim: Medical university-affiliated dental clinics, particularly those located in metropolitan areas, provide oral healthcare services to a wide range of patients with diverse demographic and socio-cultural backgrounds. The sustainability and continued effectiveness of these clinics largely depend on patients’ satisfaction and loyalty. Understanding the determinants of these two critical factors and exploring their interrelationship is essential for improving service delivery and enhancing patient retention. Therefore, the present study aimed to analyze patient satisfaction and loyalty in a university dental clinic using a structural equation modeling (SEM) approach.
Materials and Methods: This cross-sectional, descriptive-analytical study was conducted during 2023–2024 on a sample of 190 patients who visited the dental clinic of Alborz University of Medical Sciences. Participants were selected through convenience sampling. Data were collected using two standardized questionnaires: one assessing dental patient satisfaction and the other measuring patient loyalty. Structural equation modeling was employed using AMOS software, and model fit was evaluated using standard indices including the Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), and Root Mean Square Error of Approximation (RMSEA).
Results: The SEM analysis revealed a significant and positive relationship between patient satisfaction and loyalty (β=0.931, P<0.001). Among the dimensions of satisfaction, hygiene and physical conditions (β=0.939), responsiveness and service delivery (β=0.847), appointment scheduling and waiting time (β=0.761) had the most substantial impact on overall satisfaction (P<0.001). Additionally, attitudinal (β=0.996) and behavioral (β=0.859) components emerged as key dimensions of patient loyalty. Model fit indices demonstrated an acceptable level of fit with the data (CFI=0.893, RMSEA=0.077).
Conclusion: To enhance patient satisfaction and foster loyalty, university dental clinics should prioritize internal operational improvements, particularly in the areas of environmental hygiene, service responsiveness, and time management. Creating a positive mental impression through these factors can serve as a foundational step in cultivating long-term loyalty, ultimately contributing to the clinic’s credibility and sustainable performance within a competitive healthcare environment.
<p>This study, utilizing the foundations of critical race theory (CRT), is examining how the policies and practices of inclusion and exclusion in two major European cities have affected marginalized minorities. It focuses on the migration patterns of the largest ethnic minority in Europe, the Roma, after the dissolution of the Former Socialist Republic of Yugoslavia (FRY) and the former Union of Soviet Socialist Republics (FSU), and reflects on the issues of inclusion and exclusion they faced duringand after thesespecific periods of forced migration. This major researchpaper centers around two case studies to analyze the position and agency of Roma people in Europe. The first is Roma within the Federal Republic of Germany (European Union) and the second is within the Republic of Serbia (non-European Union), with a specific focus on the cities of Belgrade and Berlin.</p>
Angela Cimini, Paolo De Fioravante, Ines Marinosci
et al.
Among the most significant impacts related to the spread of settlements and the densification of urban areas, the reduction in the availability of public green spaces plays a central role in the definition of livable cities, in terms of the environment and social cohesion, interaction, and equality. In the framework of target 11.7 of the Sustainable Development Goals (SDG) 11, the United Nations has established the objective of ensuring universal, safe, and inclusive access to public spaces by 2030, for women, children, the elderly, and people with disabilities. This study proposes the evaluation of this objective for the urban area of the 14 Italian metropolitan cities, as defined by EUROSTAT and adopted by the United Nations and the Nature Restoration Law (NRL). A methodology based on open-source data and network analysis tools is tested for the provision of an unprecedented mapping of the availability and accessibility to green urban public spaces, which shows that less than 30% of metropolitan city residents have access to a green space within 300 m on foot, according to OpenStreetMap data (less than one in five for the Urban Atlas data). Furthermore, a critical analysis on the geometric and semantic definition of green urban public spaces adopted by the main European and international tools is carried out, which underlines the strategic role of crowdsourcing but also the need for mapping rules that make the data more consistent with the monitoring objectives set at the institutional level.
The classical result of Cauchy's surface area formula states that the surface area of the boundary $\partial K=Σ$ of any $n$-dimensional convex body in the $n$-dimensional Euclidean space $\mathbb{R}^n$ can be obtained by the average of the projected areas of $Σ$ along all directions in $\mathbb{S}^{n-1}$. In this notes, we generalize the formula to the boundary of arbitrary $n$-dimensional submanifolds in $\mathbb{R}^n$ by defining a natural notion of projected areas along any direction in $\mathbb{S}^{n-1}$. This surface area formula derived from the new concept coincides with not only the result of the Crofton's formula but that of De Jong \cite{de2013volume} by using tubular neighborhood. We also define the projected $r$-volumes of $Σ$ onto any $r$-dimensional subspaces, and obtain a recursive formula for mean projected $r$-volumes of $Σ$.
The increasing interdependence between cities and economies has led to a rise in mega projects, which are large-scale investment projects aimed at meeting economic and political demands. While they are planned for economic development, they have significant negative impacts on nature, cities, and people. İstanbul is one of the largest metropolitan areas in the world and has become a popular location for planning mega projects. The 3rd bridge, 3rd airport, and Canal İstanbul are three mega projects developed by the government for urban development and social welfare. The purpose of the article is to reveal the ecological and spatial effects of mega projects in İstanbul. In order to achieve this aim, an analytical assessment method is applied using positive, neutral, and negative correlations for the selected mega projects in İstanbul. The inputs required for the analytical assessment method have identified in accordance with the fundamental principles of the eco-smart planning approach, which is established on the basis of ecological planning and smart city index. The outputs of the study suggest that ecological, social, and spatial impacts must be taken into account in the planning and implementation of mega projects. The study highlights that projects driven solely by economic priorities tend to result in negative urban, environmental, and social consequences in İstanbul.
Musaev Ilhomjon, Khakimova Kamolatkhon, Nuretdinova Mashkhurakhon
et al.
This paper seeks to contribute to continuing efforts to better understand and control the effects of urbanization on our environment and society by offering a thorough review of the most recent geodetic measuring techniques for build-up area growth. In this article, we give a case study from Uzbekistan that looks at current geodetic measuring techniques for expanding build-up areas. Uzbekistan is a fast urbanizing nation in Central Asia, and politicians and experts are both deeply concerned about the growth of the country's built-up regions. The case study, which offers a thorough investigation of the geodetic measuring methods and tools used to gauge and track the growth of the built environment, is focused on a particular metropolitan region in Uzbekistan. Therefore, this article gives a summary of current geodetic measurement methods, including remote sensing methods like LiDAR and satellite imaging as well as surveying methods like total station and GNSS. The case study also emphasizes some of the difficulties and restrictions related to these methods, such as the requirement for precise geodetic control points and the inadequacies of satellite imaging in regions with thick vegetation or cloud cover.
Abstract Background and Aims Despite established screening guidelines, many Asian immigrants remain unscreened. Furthermore, those with chronic hepatitis B (CHB) are not linked to care citing multiple barriers. The objective of this study was to determine the role of our community‐based hepatitis B virus (HBV) campaign on HBV screening and the success of linkage to care (LTC) efforts. Methods Asian immigrants from the New Jersey and New York metropolitan areas were screened for HBV from 2009 to 2019. We started to collect LTC data starting in 2015, and those found to be positive were followed up. In 2017, because of low LTC rates, nurse navigators were hired to aid in the LTC process. Those excluded from the LTC process included those who were already linked to care, declined, and/or had moved or passed away. Results Total of 13,566 participants were screened from 2009 to 2019, of which, the results for 13,466 were available. Of these, 372 (2.7%) were found to have positive HBV status. Approximately 49.3% were female and 50.1% were male, and the rest were of unknown gender. A total of 1191 (10.0%) participants were found to be HBV negative but required vaccination. When we started to track LTC, we found 195 participants that were eligible for LTC between 2015 and 2017 after the exclusion criteria were applied. It was found that only 33.8% were successfully linked to care in that time period. After hiring nurse navigators, we saw LTC rates increase to 85.7% in 2018 and to 89.7% in 2019. Conclusion HBV community screening initiatives are imperative to increase screening rates in the Asian immigrant population. We were also able to demonstrate that nurse navigators can successfully help increase LTC rates. Our HBV community screening model can address issues with barriers to care including lack of access in comparable populations.
Design decisions in urban planning have to be made with particular carefulness as the resulting constraints are binding for the whole architectural design that follows. In this context, investigating and optimizing the airflow in urban environments is critical to design comfortable outdoor areas as unwanted effects such as windy areas and the formation of heat pockets have to be avoided. Our UrbanFlow framework enables interactive architectural design allowing for decision making based on simulating urban flow. Compared to real-time fluid flow simulation, enabling interactive architecture design poses an even higher computational efficiency challenge as evaluating a design by simulation usually requires hundreds of time steps. This is addressed based on a highly efficient Eulerian fluid simulator in which we incorporate a unified porosity model which is devised to encode digital urban models containing objects such as buildings and trees. UrbanFlow is equipped with an optimization routine enabling the direct computation of design adaptations improving livability and comfort for given parameterized architectural designs. To ensure convergence of the optimization process, instead of the classical Navier-Stokes equations, the Reynolds-averaged Navier-Stokes equations are solved as this can be done on a relatively coarse grid and allows for the decoupling of the effects of turbulent eddies which are taken into account using a separate turbulence model. As we demonstrate on a real-world example taken from an ongoing architectural competition, this results in a fast convergence of the optimization process which computes a design adaptation avoiding heat pockets as well as uncomfortable windy areas.
Mobile connectivity has become more important, especially for visitors to parks and protected areas. However, governments' policies prohibit cable wiring in these areas in order to preserve the beauty and protect the historical interest of the landscape. Through observed practices from other countries, mobile network operators and other licensed service providers can cooperate with the administrators of such protected areas in order to provide mobile connectivity without disturbing the environment. However, the most pervasive problem is the high energy consumption of the wireless systems and it becomes expensive to power them using the electricity grid. One attractive solution is to make use of green energy to power the communication systems and then share the base station (BS) infrastructure that is co-located with the edge server, an entity responsible for computing the offloaded delay-sensitive workloads. To alleviate this problem, this paper offers a resource management solution that seeks to minimize the energy consumption per communication site through (i) BS infrastructure and resource sharing, and (ii) assisted (peer-to-peer) computation offloading for the energy-constrained communication sites, within a protected area. Using this resource management strategy guarantees a Quality of Service (QoS). The performance evaluation conducted through simulations validates our analysis as the prediction variations observed shows greater accuracy between the harvested energy and the traffic load. Towards energy savings, the proposed algorithm achieves a 52 % energy savings when compared with the 46 % obtained by our benchmark algorithm. The energy savings that can be achieved decreases as the QoS is prioritized, within each communication site, and when the number of active computing resources increases.