BackgroundNeurodevelopmental disorders (NDDs) compromise the development and attainment of full social and economic potential at individual, family, community, and country levels. Paucity of data on NDDs slows down policy and programmatic action in most developing countries despite perceived high burden.Methods and findingsWe assessed 3,964 children (with almost equal number of boys and girls distributed in 2–<6 and 6–9 year age categories) identified from five geographically diverse populations in India using cluster sampling technique (probability proportionate to population size). These were from the North-Central, i.e., Palwal (N = 998; all rural, 16.4% non-Hindu, 25.3% from scheduled caste/tribe [SC-ST] [these are considered underserved communities who are eligible for affirmative action]); North, i.e., Kangra (N = 997; 91.6% rural, 3.7% non-Hindu, 25.3% SC-ST); East, i.e., Dhenkanal (N = 981; 89.8% rural, 1.2% non-Hindu, 38.0% SC-ST); South, i.e., Hyderabad (N = 495; all urban, 25.7% non-Hindu, 27.3% SC-ST) and West, i.e., North Goa (N = 493; 68.0% rural, 11.4% non-Hindu, 18.5% SC-ST). All children were assessed for vision impairment (VI), epilepsy (Epi), neuromotor impairments including cerebral palsy (NMI-CP), hearing impairment (HI), speech and language disorders, autism spectrum disorders (ASDs), and intellectual disability (ID). Furthermore, 6–9-year-old children were also assessed for attention deficit hyperactivity disorder (ADHD) and learning disorders (LDs). We standardized sample characteristics as per Census of India 2011 to arrive at district level and all-sites-pooled estimates. Site-specific prevalence of any of seven NDDs in 2–<6 year olds ranged from 2.9% (95% CI 1.6–5.5) to 18.7% (95% CI 14.7–23.6), and for any of nine NDDs in the 6–9-year-old children, from 6.5% (95% CI 4.6–9.1) to 18.5% (95% CI 15.3–22.3). Two or more NDDs were present in 0.4% (95% CI 0.1–1.7) to 4.3% (95% CI 2.2–8.2) in the younger age category and 0.7% (95% CI 0.2–2.0) to 5.3% (95% CI 3.3–8.2) in the older age category. All-site-pooled estimates for NDDs were 9.2% (95% CI 7.5–11.2) and 13.6% (95% CI 11.3–16.2) in children of 2–<6 and 6–9 year age categories, respectively, without significant difference according to gender, rural/urban residence, or religion; almost one-fifth of these children had more than one NDD. The pooled estimates for prevalence increased by up to three percentage points when these were adjusted for national rates of stunting or low birth weight (LBW). HI, ID, speech and language disorders, Epi, and LDs were the common NDDs across sites. Upon risk modelling, noninstitutional delivery, history of perinatal asphyxia, neonatal illness, postnatal neurological/brain infections, stunting, LBW/prematurity, and older age category (6–9 year) were significantly associated with NDDs. The study sample was underrepresentative of stunting and LBW and had a 15.6% refusal. These factors could be contributing to underestimation of the true NDD burden in our population.ConclusionsThe study identifies NDDs in childre...

Sericin is a sticky protein substance, which is generated by the silk-worm for holding the filaments of silk tightly. The main constituent of natural crude silk is made up of sericin and fibroin. Fibroin and sericin play a vital role in increasing the strength, stiffness and on maintaining the constructional integrality of the cocoon. This review reports the role of several types of degumming agents for the removal of sericin from silk surfaces and an overview of silk fibroin approaches in the tissue engineering field. The prime factors responsible for the removal of sericin (degumming) from silk were systematically analyzed and discussed. The key factors affects on modification of the silk surface are includes surfactant, degumming time, temperature, advanced techniques such as ultra-sonication, microwave radiation, infrared radiation, low-temperature oxygen plasma radiation, and PH. These factors influence either individually or cumulatively at the degumming process. Tissue engineering is an emanate and most optimistic approach to restore tissue malfunction by adopting the concept of the technology being practiced using numerous biomaterials, cells, and the nutrient-specific growth factors. Different types of materials include various bio-material and mainly of silk fibroin constituent of it is conceding most optimistic biomaterials in tissue engineering application. Silk fibroin is a naturalistic protein-based polymer with an eminent physiochemical characteristic, are magnificent biocompatibility, amenable biodegradability, proper oxygen, and water-vapor permeability, and least inflammatory reaction. The critical studies accomplishing on the role of Silk fibroin and various approaches adopted in the degumming process is extensively reviewed and reported.

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BackgroundInadequate administrative health data, suboptimal public health infrastructure, rapid and unplanned urbanization, environmental degradation, and poor penetration of information technology make the tracking of health and well-being of populations and their social determinants in the developing countries challenging. Technology-integrated comprehensive surveillance platforms have the potential to overcome these gaps.ObjectiveThis paper provides methodological insights into establishing a geographic information system (GIS)-integrated, comprehensive surveillance platform in rural North India, a resource-constrained setting.MethodsThe International Clinical Epidemiology Network Trust International established a comprehensive SOMAARTH Demographic, Development, and Environmental Surveillance Site (DDESS) in rural Palwal, a district in Haryana, North India. The surveillance platform evolved by adopting four major steps: (1) site preparation, (2) data construction, (3) data quality assurance, and (4) data update and maintenance system. Arc GIS 10.3 and QGIS 2.14 software were employed for geospatial data construction. Surveillance data architecture was built upon the geospatial land parcel datasets. Dedicated software (SOMAARTH-1) was developed for handling high volume of longitudinal datasets. The built infrastructure data pertaining to land use, water bodies, roads, railways, community trails, landmarks, water, sanitation and food environment, weather and air quality, and demographic characteristics were constructed in a relational manner.ResultsThe comprehensive surveillance platform encompassed a population of 0.2 million individuals residing in 51 villages over a land mass of 251.7 sq km having 32,662 households and 19,260 nonresidential features (cattle shed, shops, health, education, banking, religious institutions, etc). All land parcels were assigned georeferenced location identification numbers to enable space and time monitoring. Subdivision of villages into sectors helped identify socially homogenous community clusters (418/676, 61.8%, sectors). Water and hygiene parameters of the whole area were mapped on the GIS platform and quantified. Risk of physical exposure to harmful environment (poor water and sanitation indicators) was significantly associated with the caste of individual household (P=.001), and the path was mediated through the socioeconomic status and density of waste spots (liquid and solid) of the sector in which these households were located. Ground-truthing for ascertaining the land parcel level accuracies, community involvement in mapping exercise, and identification of small habitations not recorded in the administrative data were key learnings.ConclusionsThe SOMAARTH DDESS experience allowed us to document and explore dynamic relationships, associations, and pathways across multiple levels of the system (ie, individual, household, neighborhood, and village) through a geospatial interface. This could be used for characterization and monitoring of a wide range of proximal and distal...

Preventing maternal death associated with pregnancy and child birth is one of the greatest challenges for India. Approximately 55,000 women die in India due to pregnancy- and childbirth- related conditions each year. Increasing the coverage of maternal and newborn interventions is essential if Millennium Development Goals (MDG) 4 and 5 are to be reached. With a view to accelerate the reduction in maternal and neonatal mortality through institutional deliveries, Government of India initiated a scheme in 2005 called Janani Suraksha Yojna (JSY) under its National Rural Health Mission (NRHM). In Jharkhand the scheme is called the Mukhya Mantri Janani Shishu Swasthya Abhiyan (MMJSSA). This paper focuses on community perspectives, for indentifying key areas that require improvement for proper implementation of the MMJSSA in Jharkhand. Qualitative research method was used to collect data through in-depth interviews (IDIs) and focus group discussions (FGDs) in six districts of Jharkhand- Gumla, West Singhbhum, Koderma, Deoghar, Garhwa, and Ranchi. Total 300 IDIs (24 IDIs each from mother given birth at home and institution respectively; two IDIs each with members of Village Health and Sanitation Committees (VHSC) / Rogi Kalyan Samitis (RKS) from each district) and 24 FGDs (four FGDs were conducted from pools of husbands, mothers-in-law and fathers-in-law in each district) were conducted. Although people indicated willingness for institutional deliveries (generally perceived to be safe deliveries), several barriers emerged as critical obstacles. These included poor infrastructure, lack of quality of care, difficulties while availing incentives, corruption in disbursement of incentives, behavior of the healthcare personnel and lack of information about MMJSSA. Poor (and expensive) transport facilities and difficult terrain made geographical access difficult. The level of utilization of maternal healthcare among women in Jharkhand is low. There was an overwhelming demand for energizing sub-centers (including for deliveries) in order to increase access to maternal and child health services. Having second ANMs will go a long way in achieving this end. The MMJSSA scheme will thus have to re-invent itself within the overall framework of the NRHM.

Dry leaf powder of jackfruit (Actocarpus heterophyllus) was utilized for the removal of an industrial dye malachite green from the aqueous solution by the batch adsorption method. The parameters which effect on adsorption such as adsorption dose, contact time between adsorbent and the dye in solution, and pH of the solution were studied and standardized. The scanning electron microscope (SEM) photography of the jackfruit leaf powder (JLP) indicated that it had a large number of pores, spaces and empty sites. The SEM photography of used JLP shows that the dye is confidently attached on the JLP. Fourier-transform infrared spectroscopy analysis of the adsorbent confirmed the presence of different functional groups like-OH,-NH and C=O on its surface, which can be correlated with the fine adherence of the dye on the surface of the adsorbent. Moreover, the shifting of the functional group on the surface of adsorbed adsorbents indicates the affinity of the dye towards the adsorbent. The Freundlich isotherm model with the correlation coefficient (r 2) value of 0.9880 is considered as a suitable absorption model for adsorption of dye. The pH of the aqueous solution was reduced from pH 7 to pH 5. This helped the recovery of the 80% of the attached dye. The present work concludes that jackfruit leaf powder can be used as an efficient adsorbent to remove malachite green from aqueous medium and the adsorbed dye can also be recovered for reuse from the surface of the adsorbent.

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