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India houses the third biggest Muslim population in the world but over the years it has experienced massive segregation of people based on their religious identities. This large-scale forced and systemic 'ghettoization' of Muslims is a recent trend largely ascribed to the frequent communal' violence and state's negligence towards minorities. In this backdrop, the paper discusses the communal ghettoization of Muslims and uses the Juhapura area of Ahmedabad as illustration to explain the same. This study is essentially based on field observations and literature to comprehend communal tone of ghettoization process. Muslims in India are a minority (15 percent of total population) and suffer most in case riots occur. In the last few decades, following the 1985, 1992 and 2002 riots, Gujarat emerged as a hotbed of communal tension, forcing the Muslim population to migrate from their original locations and seek refuge in other parts of the state. Residents of these newly populated ghettos such as Juhapura are forced to endure these conditions due to fear, lack of choice and state apathy. These localities are largely ignored and lack all forms of socio-economic and physical infrastructure for a decent living. [ABSTRACT FROM AUTHOR]

Amount raised: During 2017, funds from Chai for Cancer Addas totaled approximately US$ 28,000 (IRS 18 lacs). Background and context: Chai for Cancer (www.chaiforcancer.org) is in a sense, a satellite brand of Friends of Max (www.friendsofmax.info). Friends of Max is a registered Public Charitable Trust and the support group arm of The Max Foundation in India. In India chai or tea is a household drink. At its best in an informal setting, an Adda serves a dual purpose as a fund-raiser and advocacy platform. It is based on the concept of an informal gathering among well-wishers and caregivers supporting underserved cancer patients suffering from chronic myeloid leukemia (CML) and gastrointestinal stromal tumor (GIST). The chronic condition is made manageable by life-long treatment. Aim: Chai For Cancer is a dynamic fundraiser and advocacy model for CML/GIST patients and caregivers in India. Strategy/Tactics: In 4 years, now on the cusp of the 5th year, Chai for Cancer has built up a creditable legacy of trust and an extended family of volunteers that networks throughout the year with the ability to attract new segments of donors/well-wishers and patient/caregiver participants. Funds thus raised support patient group meetings which facilitate various patient-related activities and patient–physician interactions which form the bedrock of FOM's dictum "Together We Share And Learn". Potential donors are approached and educated informally about how to host an Adda. Once the host expresses interest, support is provided to the host in terms of tea bags and paper cups (from Society Tea), literature (printed leaflets, brochures elaborating the concept, newsletters) and receipts (U/s 80 G of the Indian Income Tax Act, 1961). Program process: An Adda is usually hosted by members/volunteers belonging to Friends of Max although it is not unusual for persons who have simply heard of Chai for Cancer to get in touch and express interest in hosting an Adda. The emergence of new hosts like D Y Patil University and IDEAL (Institute of Design Expression Art and Learning) in Ahmedabad, Jayanth Jayaprakash's India To Excellence 2020 in addition to long-time supporters Society Tea, Being Human-The Salman Khan Foundation, Manish Mandhana Retail Ventures, Mahotsaav Entertainment, Radio One and Red FM is testimony to the strength of the fundraising/advocacy model and a platform to encourage openness, empowering patients and caregivers. HNIs from various industries have also been donors. Costs and returns: The entire process is manned by senior, experienced people who volunteer their time and professional skills. Year-long publicity is generated through social media (FM radio stations, Web site www.chaiforcancer.org Twitter, Instagram and Facebook). What was learned: This is a personalised and intimate approach to raising funds for patient-related activity. This approach ensures known and accepted sources of funds within a growing family. It is different from crowd-funding techniques. [ABSTRACT FROM AUTHOR]

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• A detail study of rain fade at Ka band over tropical region has been done. • Performance comparison of experimental link at 20/30 GHz with ITU-R model done. • "s" parameter relating fade slope to filter characteristics is calculated. Dynamic characteristics of Ka band rain fade (or rain attenuation) over tropical region are relatively less studied, though they are essential for implementation of suitable fade mitigation techniques. In this paper, dynamic characteristics of rain fade at 20 GHz and 30 GHz from GSAT-14 satellite are reported with experimental measurements at Ahmedabad, India. ITU-R model for fade slope probability distribution has been analyzed in this paper and Ka band rain fade has been investigated based on this fade-slope analysis. The ITU-R model is found to closely match 20 GHz measurements, though differences increase at 30 GHz. Fade slopes are found to be within ±0.5 dB/s at both 20 and 30 GHz. Both positive and negative slopes of the fade slope distributions are quasi-similar. ITU-R model's s parameter, relating fade slope to filter characteristics, is found to be very close to the measured value for this region. Distributions of fade slopes are also found to be dependent on the standard deviation values similar to ITU-R recommendation at 20 GHz, but significant deviation is observed at 30 GHz. This observed frequency dependency might be due to increase in cloud attenuation at high frequencies or may be due to limited data set. Results indicate needs of further experimental data at high frequencies from other tropical regions to gain further insight into the fade slope characteristics. This will ultimately help in designing a better prediction model in future. [ABSTRACT FROM AUTHOR]

Industrial developments and consumption of massive amount of fossil fuels, vehicle pollution, and other calamities upsurges the AQI (Air Quality Index) of major cities in a drastic manner. Owing to these factors, it is important to take proactive measures for reducing the air pollution in order to avoid life- threatening consequence. Therefore, prediction of air quality is significant for improving the health of living beings as highly polluted regions have a higher concentration of pollutants mixed in the air, affecting the respiratory system and reducing the lifetime. To control pollution, AQI is used as a measure for estimating the pollutant content in the air. Even though many existing techniques have predicted AQI, enhancement is required in prediction algorithms with minimized loss. To address the challenges in traditional algorithms, the proposed smart cities-based AQI prediction intends to utilize the proposed regression algorithm in the dataset, namely Air- Quality-Data, which collected harmful pollutants on an hourly and daily basis from multiple cities in India between 2015 to 2020. To achieve prediction efficiency with reduced loss, pre-processing of input data is being performed using Deep GAN (Generative Adversarial Network). It performs the imputation of data in place of missing values to improve accurate prediction. Additionally, feature scaling normalizes independent real-data features to a fixed scale. With the processed data, regression is done through modified Stacked Attention GRU with KL divergence, which predicts Ernakulam, Chennai and Ahmedabad cities with higher, medium, and low levels of AQI in India. The performance of the proposed regression algorithm is measured using metrics such as MAE (Mean Absolute Error), MSE (Mean Square Error), R2 (Coefficient of determination), MAPE (Mean Absolute Percentage Error), and RMSE (Root Mean Square Error) and better MAE, MSE, R2, MAPE and RMSE obtained by the model is 0.1013, 0.0134, 0.9479, 0.1152 and 0.1156. Internal assessment and comparative analysis performed with existing regression algorithms exhibit lower loss values obtained from the present research, which determines the efficacy of the proposed model. [ABSTRACT FROM AUTHOR]

India, a country with a population of more than 1.3 billion individuals, houses the world’s second largest educational system. Despite this, 100 of millions of individuals in India are still illiterate. As English medium education sweeps the country, many are forced to learn in a language which is foreign to them. Those living in poverty further struggle to learn English as it tends to be a language which they have no prior exposure to and no support at home for. Low-quality schools and poor instructional methods further exacerbate the problem. Without access to quality education, these individuals continue to struggle and are ultimately never given the chance to break the cycle of poverty. The aim of this study was to determine whether GraphoLearn, a computer-assisted reading tool, could be used to support the English reading skills of struggling readers in India. Participants were 7-year-old, grade 3 students (N = 30), who were attending an English-medium public school in Ahmedabad, India. English was not a native language for any of the students and all were reading at a level below that of Grade 1 despite having attended school for 2 years. Half of the students played GraphoLearn (n = 16) while the other half played a control math game (n = 14) for 20–30 min a day, over a period of 8 weeks. GraphoLearn led to significant improvements in children’s letter-sound knowledge, a critical factor in early reading development. Overall, the study opens doors for GraphoLearn as a potential intervention to support struggling readers of English in India, including those who are learning a non-native language and coming from at-risk backgrounds. [ABSTRACT FROM AUTHOR]

Introduction: Medical education in India is evolving/changing in view of implementation of new curriculum in undergraduate schools. Dundee Ready Educational Environment Measure (DREEM) is one of the tools developed specifically to assess the educational environment of medical institutions as perceived by the students. DREEM-12, an abridged version of DREEM-50 had been developed which retains its factors structure, validity, reliability and at the same time avoids respondent fatigue. We used the DREEM-12 questionnaire to assess final M.B.B.S students' perception about their learning environment at our institute. Materials and Methods: A cross-sectional study was done including 215 undergraduate students from the final MBBS. The DREEM-12 questionnaire was shared with all the participants as Google form. The mean score for each variable was calculated. Variable scores were summed up to get each domain score and interpreted. Results: We received responses from 60% of students. The highest score was given to faculty's encouragement towards learning with a mean score of 3.1. Least score - 2.1 was given to the stress support system for students. In the cumulative score, students' perception of teacher (SPOT) was 8.8 which is interpreted as "model course organizers," while student's social self-perceptions was 4.7 which infers "not too bad." The overall DREEM-12 score of our study is 33.1, which is indicative of a "More Positive than Negative" educational environment. Conclusion: The stress support system has the lowest score which suggests that efforts should be made to provide continuous psychological support to students may be in the form of periodical assessment by psychologists to find vulnerable ones early and provide them timely help. Items in SPOT are scored highest, pertaining to faculty's knowledge about the subject and their encouragement to students about their learning. As this was the first-ever study done at this institute using DREEM-12 it can serve as a baseline to monitor the effects of changes made over a period of time. [ABSTRACT FROM AUTHOR]

Background: Severe underutilization of healthcare facilities and lack of timely, affordable and effective access to healthcare services in resource-constrained, bottom of pyramid (BoP) settings are well-known issues, which foster a negative cycle of poor health outcomes, catastrophic health expenditures and poverty. Understanding BoP patients' healthcare choices is vital to inform policymakers' effective resource allocation and improve population health and livelihood in these areas. This paper examines the factors affecting the choice of health care provider in low-income settings, specifically the urban slums in India.Method: A discrete choice experiment was carried out to elicit stated preferences of BoP populations. A total of 100 respondents were sampled using a multi-stage systemic random sampling of urban slums. Attributes were selected based on previous studies in developing countries, findings of a previous exploratory study in the study setting and qualitative interviews. Provider type and cost, distance to the facility, attitude of doctor and staff, appropriateness of care and familiarity with doctor were the attributes included in the study. A random effects logit regression was used to perform the analysis. Interaction effects were included to control for individual characteristics.Results: The relatively most valued attribute is appropriateness of care (β=3.4213, p = 0.00), followed by familiarity with the doctor (β=2.8497, p = 0.00) and attitude of the doctor and staff towards the patient (β=1.8132, p = 0.00). As expected, respondents prefer shorter distance (β= - 0.0722, p = 0.00) but the relatively low importance of the attribute distance to the facility indicate that respondents are willing to travel longer if any of the other statistically significant attributes are present. Also, significant socioeconomic differences in preferences were observed, especially with regard to the type of provider.Conclusion: The analyses did not reveal universal preferences for a provider type, but overall the traditional provider type is not well accepted. It also became evident that respondents valued appropriateness of care above other attributes. Despite the study limitations, the results have broader policy implications in the context of Indian government's attempts to reduce high healthcare out-of-pocket expenditures and provide universal health coverage for its population. The government's attempt to emphasize the focus on traditional providers should be carefully reconsidered. [ABSTRACT FROM AUTHOR]

Urban expansion of the Indian metropolitan cities has reached the rural peripheries. There have been social, economic, and environmental consequences of this process of peri-urbanization on villages surrounding the big cities. In such situations, it becomes crucial to understand whether the peri-urban areas present opportunities for women emerging out of the processes of development or they expose rural women to previously unavailable challenges or not observed in other regions. This study analyses Female Work Participation (FWP) with related parameters in 712 villages surrounding the Ahmedabad city of Gujarat state. The analysis is based on village-level secondary data derived from the Office of the Registrar General, Census of India for 2001 and 2011. FWP is calculated using the standard formula provided by the Census of India. For the graphical presentation and urban proximity analysis, a geospatial mapping of all villages is performed with the help of Geographic Information System. To understand the association of urban proximity and other covariates with FWP, Ordinary Least Square regression is applied for 2001 and 2011. FWP reached 23 percent in 2011 from 38 percent in 2001. FWP has an inverse relationship with urban proximity, which means as the distance from the main city increases, there is an increase in FWP of villages. More than 40 percent of women are still working as marginal workers. Moreover, within the main worker category, a huge proportion of female is engaged as agricultural laborers. The findings suggest a pressing need for women-centric policies in the region. [ABSTRACT FROM AUTHOR]

The rapid pace of urbanization makes it imperative that we better understand the influence of climate forcing on urban malaria transmission. Despite extensive study of temperature effects in vector-borne infections in general, consideration of relative humidity remains limited. With process-based dynamical models informed by almost two decades of monthly surveillance data, we address the role of relative humidity in the interannual variability of epidemic malaria in two semi-arid cities of India. We show a strong and significant effect of humidity during the pre-transmission season on malaria burden in coastal Surat and more arid inland Ahmedabad. Simulations of the climate-driven transmission model with the MLE (Maximum Likelihood Estimates) of the parameters retrospectively capture the observed variability of disease incidence, and also prospectively predict that of 'out-of-fit' cases in more recent years, with high accuracy. Our findings indicate that relative humidity is a critical factor in the spread of urban malaria and potentially other vector-borne epidemics, and that climate change and lack of hydrological planning in cities might jeopardize malaria elimination efforts. Climate conditions and urbanization can be major drivers of vector-borne infections. Here the authors demonstrate that an often-neglected climate variable, humidity, is an important factor for malaria epidemics in two urban areas in India. [ABSTRACT FROM AUTHOR]

Many toxicological studies revealed the deleterious effects on human health induced by trace metals in ambient particulate matter (PM). This study reports the season-dependent water-soluble and total metal mass in PM10 collected simultaneously over five microenvironments in a semi-arid urban region, Ahmedabad, located in western India. The mineral dust fraction in PM10 over Bapunagar, Narol, Paldi, Income Tax, and Science City was estimated to be around 39, 45, 47, 44, and 31% during summer (May–June 2017) and 24, 55, 28, 27, and 28% during winter (December 2017–January 2018), respectively, corroborating mineral dust is perennial in the air over Ahmedabad. The PM2.5/PM10 mass ratios over all the sites were higher during winter (40–60%) as compared to those during summer (30–40%), indicating the contribution from the anthropogenic sources to PM mass. Among the metals monitored, the estimated considerable amount of high masses of Zn, Cu, Ni, Cd, and Sb during winter can be ascribed to the anthropogenic inputs based on the estimated enrichment factors (EF). In contrast to the crustal source, these metals might have been possibly emitted from several other man-made sources, which were found to be more water-soluble during both seasons. As per the standards of incremental excess lifetime cancer risk (IELCR), it is estimated that the atmospheric mass concentration of carcinogenic metals such as Cr, Co, and As was higher in all these sites, whereas the metals such as Pb, Ni, and Cd are also found over the industrial site (Narol) in addition to the above-said metals. Notably, people are highly susceptible to these metals, leading to the potential risk of cancer during both seasons. [ABSTRACT FROM AUTHOR]

Background: One Health is a collaborative, multisectoral, and transdisciplinary approach-working at the local, regional, national, and global levels-with the goal of achieving optimal health outcomes recognizing the interconnection between people, animals, plants, and their shared environment. Operationalization of the One Health approach is still unclear for various local health systems with their respective targets. In this scenario, the empirical study of intersectoral collaboration between the human and animal health systems provides an opportunity to investigate the appropriate strategies and their enabling factors at the local health system level. Thus, this study documented and validated the innovative strategy for intersectoral collaboration, focusing on effectual prevention and control of zoonotic diseases with its enabling factors for a city in western India, Ahmedabad.Methods: This case study was conducted in three phases: phase I (qualitative data collection, i.e., vignette interview), phase II (quantitative data collection through modified policy Delphi), and phase III (participatory workshop). The vignette data were handled for content analysis, and the Delphi data, like other quantitative data, for descriptive statistics. The participatory workshop adapts the computerized Sensitivity Model® developed by Vester to analyse the health system dynamics.Result: Out of the possible 36 strategies, this study validated the top 15 essential (must-have) and five preferred (should-have) strategies for the study area. For operationalization of the One Health approach, the enabling factors that were identified through the systems approach are micro-level factors at the individual level (trust, leadership, motivation, knowledge), meso-level factors at the organizational level (human resource, capacity-building, shared vision, decision-making capacity, laboratory capacity, surveillance), macro-level factors at the system level (coordinated roles, relationships, common platform), and external factors outside of the system (guidelines/policies, community participation, a specific budget, political will, smart technology).Discussion: This study reveals that the micro-level factors at the individual level are potential levers of the health system. More attention to these factors could be beneficial for the operationalization of the One Health approach. This study recommends a systems approach through a bottom-up exploration to understand the local health system and its enabling factors, which should be accounted for in formulating future One Health policies. [ABSTRACT FROM AUTHOR]

The current study presents the oxidative potential (OP) along with a wide range of chemical speciation of particulate matter with an aerodynamic diameter less than 10 μm (PM 10) at five sites representing different environments in Ahmedabad, a big city in western India. On an average, PM 10 concentrations were 116 ± 36, 228 ± 43, 133 ± 29, 101 ± 21, and 70 ± 20 μg m−3; volume-normalized OP (OP V) were 2.51 ± 0.71, 5.62 ± 0.68, 2.69 ± 0.76, 2.14 ± 0.41, and 1.55 ± 0.51 nmol DTT min−1 m−3; and mass-normalized OP (OP M) were 22 ± 3, 25 ± 5, 21 ± 6, 21 ± 2, and 22 ± 3 pmol DTT min−1 μg−1 over Bapunagar (backward residential area), Narol (industrial), Paldi (bus transport hub), Income Tax (huge running traffic) and Science City (posh residential area), respectively. Overall, OP V showed a significant linear correlation with PM 10 , whereas OP M showed near uniformity with increasing PM 10. Although the OP M values were similar, the site-to-site variability in PM 10 concentration reflects the corresponding health risks associated with PM 10 exposure for the people living in these areas. Further, a noticeable temporal variation in OP M at Narol and Paldi suggests that species with diverse OP M contributed to PM 10 on different days. A strong linear relationship between the ratio of OP V to the mass concentration of organic carbon (OP OC) and the ratio of m/z 43 signal to total water-soluble organic aerosols (WSOA) signals (f43) suggests that the fossil-fuel combustion derived WSOA have higher OP. Furthermore, the relationships of OP with water-soluble trace metals and brown carbon are also investigated and discussed in this paper. Nitrogenous organic compounds particularly emitted from the traffic-related sources in Paldi and Income Tax have higher OP OC than those emitted from other sources over Bapunagar, Narol, and Science City. Image 1 • Oxidative potential (OP) cannot be determined by PM 10 mass alone. • Volume-normalized OP shows a significant spatial variability over Ahmedabad. • Nitrogenous organics from the traffic-related sources have higher OP. [ABSTRACT FROM AUTHOR]

Background: Acute viral hepatitis (AVH) is a major health concern in developing nations like India in regard to morbidity and mortality. Objective: To identify incidence, clinical presentation, laboratory abnormalities, severity, and complication of AVH in young adults. Materials and Methods: A prospective study was conducted from August 2016 to August 2018 among 70 young adult patients of AVH at Civil Hospital, Ahmedabad. Data on clinical presentation, laboratory values, complication, and severity were obtained, and analysis was performed. Results: Hepatitis E viral (HEV) infection was seen in 70% case and was more common in age group of 21–30 years followed by Hepatitis B and Hepatitis A, 15.8% and 12.8% case respectively. Most common presenting symptom was jaundice in 80–85% of patients followed by anorexia 65.7% and nausea and vomiting 57.1% of patients. Most common clinical sign was icterus followed by hepatomegaly. Total serum bilirubin and serum SGOT elevated in all cases. Acute liver failure was seen in seven cases. Six cases were due to hepatitis E and one case was due to hepatitis A. Acute kidney injury was present in seven cases. Coagulopathy was found to be major complication in 25.7% cases. Conclusion: HEV is the major etiological agent of AVH in young adults. It is not possible to differentiate viral hepatitis based on clinical features and biochemical parameters. However, cholestasis is found to be significantly associated with hepatitis‑E infection. [ABSTRACT FROM AUTHOR]

Background: Prioritizing zoonotic diseases is one of the emerging tasks for developing multi-sectoral collaboration within One Health. Globally, many efforts have been made to prioritize zoonotic diseases at national levels, especially in low resource settings. Prioritization of zoonoses has been conducted in different countries at different levels (i.e. national, regional and local) for different purposes. India has also initiated prioritization of zoonotic diseases at the national level. However, in a country like India with wide climatic variations, different animal-human and vector densities, it is important to look at these zoonotic conditions in local settings too. The present study aims to determine which zoonoses should be prioritized for collaboration between stakeholders in the Indian city of Ahmedabad. Methods: The present study followed a participatory research method, entailing a stakeholder workshop for prioritizing zoonotic diseases in Ahmedabad. It was carried out through a facilitated consultative process involving 19 experts in zoonoses from the human and animal health systems during a one-day workshop in September 2018. To prioritize the zoonotic diseases, the One Health Zoonotic Disease Prioritization (OHZDP) tool of the U.S. Centers for Disease Control and Prevention was adopted. The Analytical Hierarchical Process (AHP) and decision-tree analysis were used to rank the diseases. Results: Out of 38 listed zoonotic diseases, 14 were selected for prioritization. These were scored and weighed against five criteria: severity of disease in humans, potential for epidemic and/or pandemic, availability of prevention and/or control strategies, burden of animal disease existing inter-sectoral collaboration. The top five diseases that have been prioritized for Ahmedabad are Rabies, Brucellosis, Avian Influenza (H5N1), Influenza A (H1N1) and Crimean-Congo Hemorrhagic Fever. Sensitivity analysis did not indicate significant changes in zoonotic disease prioritization based on criteria weights. Conclusion: Prioritization of zoonotic diseases at the local level is essential for development of effective One Health strategies. This type of participatory disease prioritization workshop is highly recommended and can be replicated in other Indian cities, as well as in other low and middle-income countries. [ABSTRACT FROM AUTHOR]

The surging trend of (re)emerging diseases urges for the early detection, prevention, and control of zoonotic infections through the One Health (OH) approach. The operationalization of the OH approach depends on the contextual setting, the presence of the actors across the domains of OH, and the extent of their involvement. In the absence of national operational guidelines for OH in India, this study aims to identify potential actors with an attempt to understand the current health system network strength (during an outbreak and non-outbreak situations) at the local health system of Ahmedabad, India. This case study adopted a sequential mixed methods design conducted in two phases. First, potential actors who have been involved directly or indirectly in zoonoses prevention and control were identified through in-depth interviews. A network study was conducted as part of the second phase through a structured network questionnaire. Interest and influence matrix, average degree, network density, and degree of centralization were calculated through Atlas.Ti (ATLAS.ti Scientific Software Development GmbH, Berlin, Germany), UCINET (Analytic Technologies, Lexington, KY, USA) software. The identified actors were categorized based on power, administrative level (either at the city or district level), and their level of action: administrative (policy planners, managers), providers (physicians, veterinarians), and community (health workers, community leaders). The matrix indicated that administrative actors from the district level were 'context setters' and the actors from the city level were either 'players' or 'subjects'. The network density showed a strength of 0.328 during the last outbreak of H5N1, which decreased to 0.163 during the non-outbreak situation. Overall, there was low collaboration observed in this study, which ranged from communication (during non-outbreaks) to coordination (during outbreaks). The private and non-governmental actors were not integrated into collaborative activities. This study concludes that not only collaboration is needed for OH among the sectors pertaining to the human and the animal health system but also better structured ('inter-level') collaboration across the governance levels for effective implementation. [ABSTRACT FROM AUTHOR]