Relational Maneuvering of Leader-Follower Unmanned Aerial Vehicles for Flexible Formation.

In this article, we propose a new formation scheme for a leader-follower unmanned aerial vehicle (UAV) system inspired by a human pilot's behavior wherein the formation geometry does not necessarily remain fixed as the vehicles maneuver. In other words, the position and the orientation of the follower with respect to the leader are subject to change as they maneuver while satisfying some constraints. Our strategy ensures that the follower UAV maintains a desired fixed relative distance with respect to the leader UAV, whereas its orientation with respect to the leader UAV may change to reduce its control effort and provide it with a tactical advantage. We call this new relational maneuvering scheme flexible since the set of feasible positions for the follower UAV is not fixed, as is common in close proximity two-ship formations in air-to-air combat. By assigning the follower UAV's linear and angular velocities as its control inputs, our approach tries to emulate a human pilot's behavior in UAVs by taking anticipatory maneuvers when the leader UAV makes aggressive turns. The proposed flexible-geometry formation scheme is robust to the leader's maneuver changes since the follower UAV's control law does not need the information of the leader's angular speed control and only uses relative measurements. This makes the design lucrative even when the vehicles are heterogeneous, global measurements are unavailable, or if the leader UAV is noncooperative. Finally, we present multiple simulations to highlight the merits of the flexible formation control laws.

Evidence on sulfadoxine-pyrimethamine resistance molecular markers from India: interpret with caution.

BACKGROUND: Sulfadoxine-pyrimethamine (SP), as a partner to artesunate as ACT is the treatment of choice for uncomplicated P. falciparum infections in the majority of India and SP-resistance has a potential to lead to ACT failure. In the lack of robust surveillance of therapeutic efficacy of SP, validate molecular markers of SP-resistance offer a hint of failing SP. However, studies reporting these validated markers often suffer from certain pitfalls that warrant a careful interpretation. MAIN BODY: Critical analyses of the results and their reported interpretations from a recent study and other studies conducted on the WHO-validated molecular markers of SP-resistance in India were analysed and the main problems with studying and reporting of these markers are presented here. It was noted that almost all studies analysed flawed either on the usage, estimation and/or interpretation of the standardized classification of the studies SP mutations. These flaws not only impart spatiotemporal incomparability of the published data but also have the potential of being misunderstood and wrongly translated. CONCLUSION: Based on this universal problem in studying, reporting and interpreting the data from the studies on molecular markers of SP-resistance, it is stressed that the future studies should be conducted with utmost caution so that robust evidence may be generated and correctly translated to policy.

Optimizing neural networks using spider monkey optimization algorithm for intrusion detection system.

The constantly changing nature of cyber threats presents unprecedented difficulties for people, institutions, and governments across the globe. Cyber threats are a major concern in today's digital world like hacking, phishing, malware, and data breaches. These can compromise anyone's personal information and harm the organizations. An intrusion detection system plays a vital responsibility to identifying abnormal network traffic and alerts the system in real time if any malicious activity is detected. In our present research work Artificial Neural Networks (ANN) layers are optimized with the execution of Spider Monkey Optimization (SMO) to detect attacks or intrusions in the system. The developed model SMO-ANN is examined using publicly available dataset Luflow, CIC-IDS 2017, UNR-IDD and NSL -KDD to classify the network traffic as benign or attack type. In the binary Luflow dataset and the multiclass NSL-KDD dataset, the proposed model SMO-ANN has the maximum accuracy, at 100% and 99%, respectively.

75 years' journey of malaria publications in English: what and where?

Malaria has inflicted serious morbidity and mortality across the globe. The major brunt of the disease has been on African, South-East Asian and South American countries. Proportionally, malaria has attracted global research priorities and this is evident from the number of publications related to malaria from across the globe, irrespective of its endemicity. However, formal and exhaustive analyses of these 'malaria publications' are rarely reported. The systematic review and secondary data analyses were done to retrieve information on what has been published on malaria, where is it published, and which countries are major contributors to malaria research.The study presents malaria publications from 1945 to 2020 retrieved using three databases: Web of Science™, Embase® and Scopus®. Exported data were examined to determine the number of publications over time, their subject areas, contributions from various countries/organizations, and top publishing journals.The total number of published records on malaria ranged from 90,282 to 112,698 (due to three different databases). Based on the number of publications, USA, UK, France, and India were identified as the top four countries. Malaria Journal, American Journal of Tropical Medicine & Hygiene, and PLoS One were the most preferred journals, whereas the University of London (Institutions other than LSHTM), the National Institute of Health, the London School of Hygiene and Tropical Medicine, and the University of Oxford appeared to be the top contributing organization.A disproportional contribution to malaria research was observed with non-malaria endemic countries making the largest contribution. Databases differed in their output format and needed standardization to make the outputs comparable across databases.

Comparative thermal assessment and emission analysis of various green biodiesel from novel feedstocks for CI engines: a sustainable approach towards emission reduction.

In order to replace conventional diesel, biodiesel from various feedstocks is being researched for diesel engines. This study explores novel biodiesel blends produced from unconventional resources such as mentha piperita (peppermint), pontederia crassipes (water hyacinth), tamarindus indica (tamarind), and trichosanthes cucumerina (snake gourd) to assess the outcomes of a diesel engine. The fuel samples are designated as MP20, PC20, TC20, and TI20, which consist of 80% biodiesel and 20% diesel. The assessment is carried out on a four-stroke, one-cylinder diesel engine that is water-cooled and set to operate at 1500 rpm with a 17.5 compression ratio under various engine loading scenarios with quarter-incremental loading from one-fourth to full loading conditions. The fuel samples are injected with 220 bar injection pressure into the combustion chamber 23° before TDC. An extensive analysis of engine parameters is performed using engine configuration, fuel characteristics, and applied boundary conditions. This comprises brake-specific energy consumption (BSEC), fuel consumption (BSFC), thermal efficiency (BTE), cylinder pressure (CP), heat release rate (HRR), particulate matter (PM), nitrogen oxide (NOx), and carbon dioxide (CO2) emissions. At 100% load, the biodiesel blends show an increase in BSFC (2.8-12.6%) and BSEC (1.1-7.1%) but a minor decrease in CP (0.9-6.9%), HRR (0.8-16.2%), and BTE (1.2-2.9%). For biodiesel blends at full engine load, the emissions of PM (8.9-21.4%), NOx (1.4-16.2%) and CO2 (2.4-7.9%) are all significantly reduced. The results emphasize the distinct benefits of biodiesel blends, demonstrating enhanced engine performance and substantial decreases in emissions, which supports the aim of providing sustainable energy solutions.

Epidemiology and impact of chronic disease multimorbidity in India: a systematic review and meta-analysis.

Objectives: This is the first systematic review and meta-analysis of the prevalence of multimorbidity, its risk factors including socioeconomic factors, and the consequences of multimorbidity on health systems and broader society in India. Methods: A systematic review of both published and grey literature from five databases (Medline, Embase, EBSCO, Scopus, and ProQuest) was conducted including original studies documenting prevalence or patient outcomes associated with multimorbidity among adults in India. We excluded studies that did not explicitly mention multimorbidity. Three independent reviewers did primary screening based on titles and abstracts followed by full-text review for potential eligibility. The risk of bias was independently assessed by two reviewers following the Appraisal Tool for Cross-Sectional Studies. We presented both qualitative and quantitative (through meta-analysis) summaries of the evidence. The protocol for this study was prospectively registered with PROSPERO (CRD42021257281). Results: The review identified 5442 articles out of which 35 articles were finally included in this study. Twenty-three studies were based on the primary data while 12 used secondary data. Eleven studies were conducted in hospital/primary care setting while 24 were community-based. The pooled prevalence of multimorbidity based on (n=19) studies included for meta-analysis was 20% (95% CI: 19% to 20%). The most frequent outcomes were increased healthcare utilization, reduced health-related quality of life, physical and mental functioning. Conclusion: We identified a wide variance in the magnitude of multimorbidity across age groups and regions with most of the studies from eastern India. Nation-wide studies, studies on vulnerable populations and interventions are warranted.

Cost analyses for malaria molecular diagnosis for research planners in India and beyond.

BACKGROUND: Malaria elimination mandates early and accurate diagnosis of infection. Although malaria diagnosis is programmatically dependent on microscopy/RDTs, molecular diagnosis has much better diagnostic accuracy. Higher cost of molecular diagnoses is a recognized challenge for use at the point of care. Because funding is always a recognized constraint, we performed financial cost-analyses of available molecular platforms for better utilization of available budget. METHODS: Two strategies were applied to deduce the cost per sample. Strategy 1 included recurring components (RC) in minimum pack size, and biologist's time whereas strategy 2 included only RC and non-recurring components and costs are calculated for sample sizes (1-1,000,000) to infer the sample size effect. RESULTS: Spin column-based manual DNA extraction (US$ 3.93 per sample) is the lowest-cost method, followed by magnetic bead-based automated, semi-automated, and PCI-based manual method. Further, DNA extraction cost per sample via spin column-based manual method and semi-automated method decreases with an increase in sample size up to 10,000. Real-time PCRs are ~ 2-fold more economical than conventional PCR, regardless of sample size. CONCLUSIONS: This study is the first for malaria to estimate systematic molecular diagnosis financial costs. Kit-based and automated methods may replace conventional DNA extraction and amplification methods for a frugal high-throughput diagnosis.

Critical insights on "Association of the C allele of rs479200 in the EGLN1 gene with COVID­19 severity in Indian population: a novel finding".

The recent article by Harit et al. in Human Genomics reported a novel association of the C allele of rs479200 in the human EGLN1 gene with severe COVID-19 in Indian patients. The gene in context is an oxygen-sensor gene whose T allele has been reported to contribute to the inability to cope with hypoxia due to increased expression of the EGLN1 gene and therefore persons with TT genotype of EGLN1 rs479200 are more susceptible to severe manifestations of hypoxia. In contrast to this dogma, Harit et al. showed that the C allele is associated with the worsening of COVID-19 hypoxia without suggesting or even discussing the scientific plausibility of the association. The article also suffers from certain epidemiological, statistical, and mathematical issues that need to be critically elaborated and discussed. In this context, the findings of Harit et al. may be re-evaluated.

Non-communicable disease risk reduction training for medical graduates in India: context, challenges and opportunities.

Physicians' hold pivotal roles in improving non-communicable diseases (NCDs). Studies conducted in India revealed that physicians' feel unprepared to address NCDs risk reduction and provide counseling. We conducted a gap analysis using desk reviews to identify inclusion of NCD risk reduction in medical curricula, and a scoping review to assess knowledge, attitude, perception, and practice related to NCD risk reduction among the undergraduate medical students in India. We also conducted key-informant interviews to understand perceptions among medical students and physicians. We found a lack of knowledge about NCDs and strong interest and perceived need for NCD risk reduction training among both medical students and their teachers. Our findings suggest promoting NCD prevention by physicians and allied health workers in clinical settings can enable the learning environment for medical students to adopt these practices.

Decline in unmet needs for cataract surgery among the ageing population in India: findings from LASI, wave-1.

Introduction: Cataracts are the leading cause of blindness among older people, but they can be treated with corrective surgery. India boasts the oldest blindness control programme in the world. We aimed to assess the prevalence of cataract surgery, and we compared the determinants of undergoing cataract surgery and identified the unmet needs for cataract surgery among older adults in India. Methods: We included 52,380 individuals aged ≥50 years from the Longitudinal Ageing Study in India, wave-1. The primary outcome measures of our study were the prevalence of cataract surgery and the unmet need for cataract surgery. Multivariate analysis was executed to investigate the association between socio-demographic variables and outcomes, expressing the results as adjusted odds ratios with 95% confidence intervals (CIs). Results: The overall prevalence of cataracts was 14.85%. The coverage of cataract surgery was 76.95%, with 23% having unmet needs for cataract surgery. Notably, cataract surgery coverage was higher at 78.30% (95% CI: 76.88-79.48) among participants aged 66-80 years, while the percentage of those who did not undergo cataract surgery was higher at 24.62% (95% CI: 23.09-26.20) among participants aged 50-60 years. The most deprived group had a higher odds ratio [adjusted odds ratio: 1.20 (95% CI: 1.00-1.44)] (p < 0.05) of having unmet needs for cataract surgery. Conclusions: There is a considerable burden of age-related cataracts in India. While the coverage of cataract surgery is high, the unmet need for cataract surgery cannot be overlooked. The existing blindness control programme has contributed significantly to increasing the coverage of cataract surgery, but it still needs to be strengthened, especially to reach the most deprived sections of society.

Motivation-opportunity-ability-behaviour of community members and program implementers towards mass drug administration for lymphatic filariasis elimination in India: a systematic review and implementation priority.

Lymphatic filariasis (LF) is a significant public health issue in India. Despite 10-15 rounds of mass drug administration (MDA) in India, the global LF elimination target of 2030 appears challenging. To strengthen the program, community and provider perspectives on ways to bridge a gap in MDA are needed. Through the motivation-opportunity-ability-behaviour (MOAB) lens, we systematically reviewed the facilitators and barriers encountered in LF elimination in India. We followed Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. We searched PubMed, Embase, ProQuest and Google Scholar databases to explore factors related to MDA program implementation in India through 30 June 2021. We analysed the data using a thematic framework. We identified 576 studies; of these, 20 studies were included. This review revealed that the public health system for distributing MDA drugs in India created a better enabling environment, including zero out-of-pocket expenditure, door-step distribution of medicines and ample capacity-building training and follow-up. However, community members were unaware of the rationale for drug consumption, leading to a gap in drug distribution and consumption. Motivation is required among community members, which suggests capacity-building training for service providers to counsel the community.

Diagnostic Validation and Feasibility of a Non-invasive Haemoglobin Screening Device (EzeCheck) for 'Anaemia Mukt Bharat' in India.

Anaemia remains a major public health issue in India despite several efforts. It is crucial to introduce technology-based innovations for the mass screening and early diagnosis of anaemia. Traditional anaemia screening requires drawing blood and laboratory analysis and can be logistically expensive in resource-constrained settings. A non-invasive haemoglobin test for mass screening in such settings is vital which can quickly and efficiently screen large populations. This study validated the haemoglobin estimation between the invasive haematology analyzer and the non-invasive EzeCheck (EzeRx Health Tech Pvt. Ltd., Bhubaneswar, Odisha, India) in the community setting. We conducted a cross-sectional study among 416 urban slum members in Bhubaneswar, India. We used inter-rater reliability (kappa statistic) of haemoglobin estimation between the haematology analyzer and EzeCheck devices. The finding showed a moderate agreement between both devices (kappa=0.4221). Between both devices, 91.59% of the results were with +/-1.5 difference; 43.51%, no difference; 33.65%, less than one difference; and 14.42%, +/-1 to +/-1.5 difference of haemoglobin estimation. There was no significant difference in overall anaemia status estimates between the devices. Mass screening in schools and communities with non-invasive haemoglobin tests can help identify anaemic people for early diagnosis and bring patients for timely treatment, which can be used in remote areas to support 'Anaemia Mukt Bharat'.

Factors influencing implementation of mass drug administration for lymphatic filariasis elimination: a mixed-method study in Odisha, India.

Background: Lymphatic filariasis (LF) persists as a public health problem in India. Despite more than ten rounds of mass drug administration (MDA), LF continues to be endemic in the Dhenkanal district of Odisha. Hence, we assessed the coverage and compliance of the MDA program and explored the factors affecting it in the Dhenkanal district. Methods: An explanatory mixed-method study was conducted, wherein for the quantitative survey, 552 participants aged 2 years and above were recruited following a multistage cluster random sampling during February 2022. In-depth interviews were conducted among purposively selected key stakeholders and program implementers. Descriptive statistics were used to report coverage and compliance, along with a 95% confidence interval. Qualitative data were analyzed using a thematic approach. Results: We observed coverage of 99.28% and compliance of 85.87% for MDA drugs. Supervised drug administration proved to be a major pillar in increasing compliance. There was difficulty in administering drugs in urban areas due to gated societies, the absence of individuals during the day, and the perspective toward healthcare providers. Participants reported a lack of confidence in drug distributors and a fear of side effects as major causes for non-compliance. Conclusion: There is a need to strengthen MDA, especially in urban areas. An urban-specific strategy, along with surveillance, behavioral change communication, and the involvement of multi-disciplinary teams, is required.

Smart meter for the estimation of power quality indices based on second-order generalized integrator.

With the increasing integration of renewable energy sources and nonlinear loads in the grid, it is necessary to compute energy and power quality parameters for monitoring as well as analyzing the power consumption indices (PCI) and power quality indices (PQI). Smart meters (SMs) can monitor the PCI and PQI at the consumer end. SM necessitates the measurement of voltage and current, which can be further processed by an algorithm for estimating different parameters through signal processing and arithmetic operations. This paper proposes the combined dual second-order generalized integrator (SOGI) and proportionate least mean square (PLMS) algorithm-based PCI and PQI estimation for smart metering. Dual SOGIs individually process voltage and current signals to extract the respective fundamental in-phase and quadrature components. To account the variations in grid frequency, the SOGI processing the voltage also incorporates a frequency locked loop. This prevents performance degradation on account of frequency variations. The PLMS algorithm then process the output of SOGI processing the current for extracting the fundamental active and reactive components of current. Moreover, the PLMS algorithm results in further attenuation of harmonics. Also, only two separate values of learning rate are required, which is easy to tune for better dynamic performance. With only two quantities to be determined, this results in largely reduced computation. These computations facilitate in PCI and PQI computations. The proposed smart meter calculates peak value, RMS value, and phase angle for the fundamental components of voltage and current for each phase. Additionally, it assesses fundamental power factor, total harmonic distortion (THD), distortion factor, true power factor, active power, reactive power, and apparent power for each phase. The performance validation of the proposed combined dual-SOGI-PLMS algorithm-based PCI and PQI estimation for smart metering is carried out in MATLAB/SIMULINK for fifteen different operating scenarios. Further, the real-time implementation of the proposed methodology is carried out on dSPACE MicroLab Box 1202. Comparative analysis is also presented, which reveals the computational simplicity and other merits of the proposed scheme over the earlier reported scheme.

Seasonal variations in respiratory morbidity in primary care and its correlation with the quality of air in urban Odisha, India.

Poor air quality, especially in urban regions among low-and middle-income countries such as India poses a significant healthcare challenge. Amongst urban areas, metropolitan cities garner the utmost importance for air quality related policies and studies with limited studies from tier II cities which are thought to be relatively immune to air pollution. Hence, we aimed to identify the most frequent respiratory morbidities and explore its correlation with exposure to ambient PM2.5 particles in Bhubaneswar (a tier II city in coastal India), Odisha. A chart review was carried out through data extracted from the records of urban health centres. Data on PM2.5 concentrations were obtained from Odisha State Pollution Control Board. The morbidities were coded by using the International Classification of Primary Care­2 system (ICPC-2). Descriptive statistics such as incidence of respiratory illnesses was computed across seasons. The ecological correlation between respiratory morbidity patterns and corresponding concentration of PM2.5 in air was analysed for each season. A positive correlation (r = o.94) between PM2.5 and respiratory morbidities was observed. The incidence of respiratory morbidities was 183.31 per 1000 person year. We identified 21 out of 43 respiratory diseases classified under ICPC-2. Upper Respiratory Tract Infection was the most commonly (116.8 per 1000 person year) incident condition. We observed one-fourth increase in the incidence of respiratory illnesses during winters. Respiratory morbidities are common in urban Bhubaneswar which follows a seasonal pattern and are possibly linked with the seasonal variations in levels of PM2.5 particles. Our study highlights that tier II cities are equally prone to health effects of air pollution. Future programmes and policies should take these cities into consideration too.

Meta-analysis on Plasmodium falciparum sulfadoxine-pyrimethamine resistance-conferring mutations in India identifies hot spots for genetic surveillance.

BACKGROUND: India is on track to eliminate malaria by 2030 but emerging resistance to first-line antimalarials is a recognised threat. Two instances of rapid development, spread, and natural selection of drug-resistant mutant parasites in India (chloroquine across the country and artesunate + sulfadoxine-pyrimethamine [AS+SP] in the northeastern states) translated into drug policy changes for Plasmodium falciparum malaria in 2010 and 2013, respectively. Considering these rapid changes in the SP drug resistance-conferring mutation profile of P. falciparum, there is a need to systematically monitor the validated mutations in Pfdhfr and Pfdhps genes across India alongside AS+SP therapeutic efficacy studies. There has been no robust, systematic countrywide surveillance reported for these parameters in India, hence the current study was undertaken. METHODS: Studies that reported data on WHO-validated SP resistance markers in P. falciparum across India from 2008 to January 2023 were included. Five major databases, PubMedⓇ, Web of ScienceTM, ScopusⓇ, EmbaseⓇ, and Google Scholar, were exhaustively searched. Individual and pooled prevalence estimates of mutations were obtained through random- and fixed-effect models. Data were depicted using forest plots created with a 95% confidence interval. The study is registered with PROSPERO (CRD42021236012). RESULTS: A total of 37 publications, and 533 Pfdhfr and 134 Pfdhps National Centre of Biotechnology Information (NCBI) DNA sequences were included from >4000 samples. The study included information from 80 districts, 21 states and 3 union territories (UTs) from India. The two PfDHFR mutations, C59R (62%) and S108N (74%), were the most prevalent mutations (pooled estimates 61% and 71%, respectively) and appeared to be stabilised/fixed. Although rarest overall, the prevalence of I164L was observed to be as high as 32%. The PfDHFR double mutants were the most prevalent overall (51%; pooled 42%). The prevalence of triple and quadruple mutations was 6% and 5%, respectively, and is an immediate concern for some states. The most prevalent PfDHPS mutation was A437G (39%), followed by K540E (25%) and A581G (12%). There was a low overall prevalence of PfDHFR/PfDHPS quintuple and sextuple mutations but surveillance for these mutations is critical for some areas. CONCLUSION: The analyses span the two critical policy changes, highlight the areas of concern, and guide policymakers in strategising and refining the anti-malaria drug policy for malaria elimination. The results of the analyses also highlight the SP-resistance hot spots, critical gaps and challenges, and indicate that focal and local malaria genetic surveillance (including drug-resistance markers) is needed until malaria is successfully eliminated.

Joint Involvement Can Predict Chikungunya in a Dengue Syndemic Setting in India.

Dengue and chikungunya have been endemic in India but have the tendency to cause periodic epidemics, often together, wherein they are termed 'syndemic'. Such a syndemic was observed in 2016 in India which resulted in a further scarcity of already resource-poor specific diagnostic infrastructure even in many urban conglomerates. A cross-sectional study was thus conducted, on 978 fever patients that consulted the ICMR-NIMR fever clinic, New Delhi, in September 2016, with an objective to identify symptom/s that could predict chikungunya with certainty. The overall aim was to rationally channelize the most clinically suitable patients for the required specific diagnosis of chikungunya. Based on their clinical profile, febrile patients attending NIMR's clinic, appropriate laboratory tests and their association analyses were performed. Bivariate analysis on 34 clinical parameters revealed that joint pain, joint swelling, rashes, red spots, weakness, itching, loss of taste, red eyes, and bleeding gums were found to be statistically significantly associated predictors of chikungunya as compared to dengue. While, in multivariate analysis, only four symptoms (joint pain in elbows, joint swelling, itching and bleeding gums) were found in statistically significant association with chikungunya. Hence, based on the results, a clinician may preferably channelize febrile patients with one or more of these four symptoms for chikungunya-specific diagnosis and divert the rest for dengue lab diagnosis in a dengue-chikungunya syndemic setting.

Prevalence and correlates of multimorbidity among patients attending AYUSH primary care settings in Delhi-National Capital Region, India.

INTRODUCTION: India has a multifaceted healthcare system and recognizes complementary and alternative systems of medicine (AYUSH) that cater to the healthcare needs of people. Multimorbidity requires frequent visits to physicians and long-term use of medications, due to which people tend to prefer AYUSH systems as they provide holistic patient-centered treatment. Hence, we aimed to estimate the prevalence of multimorbidity and assess its correlates among patients attending AYUSH primary care clinics in Delhi. METHODS: A cross-sectional study was conducted among 943 patients aged ≥ 18 years attending various AYUSH primary care clinics in Delhi from September 2021 to February 2022, employing a stratified random sampling technique. Descriptive statistics such as frequency and proportion were used to report the prevalence of multimorbidity (two or more chronic conditions in an individual out of the 33 conditions listed as per the Multimorbidity Assessment Questionnaire for Primary Care). A multivariable logistic regression assessed the association between various socio-demographic characteristics and multimorbidity, presented as an adjusted odds ratio (AOR) with a 95% confidence interval (CI). RESULTS: The prevalence of diabetes (14.7%) was found to be the highest (out of all included chronic conditions) among the patients attending various AYUSH primary care settings. The overall prevalence of multimorbidity was observed to be around 39.4%. We observed a higher likelihood of having multimorbidity among participants aged ≥ 70 years [AOR: 9.19 (95% CI: 3.75-22.54)], females [AOR: 1.57 (95% CI: 1.04-2.37)], and middle class [AOR: 2.23 (95% CI: 1.45-3.43)]. CONCLUSION: Multimorbidity was evidently prevalent across AYUSH primary care settings, which cannot be overlooked. The results suggest behavioral change communication may be aimed at older individuals, females, and the middle class.

Utilization of modern temporary contraceptive methods and its predictors among reproductive-aged women in India: insights from NFHS-5 (2019-21).

Evidence from various studies on modern contraceptive methods shows that the utilization varies greatly. The present study aimed to estimate the magnitude and determinants for temporary modern contraceptive utilization among reproductive-aged (15-49 years) women in India. We analysed National Family Health Survey-5 data using the "svyset" command in STATA software. Modern contraception utilization was estimated using the weighted prevalence, and its correlates were assessed by multivariable regression by reporting an adjusted prevalence ratio (aPR) with 95% confidence interval (CI). QGIS 3.2.1 software was used for spatial analysis of different temporary modern contraceptives. The mean (SD) age of 359,825 respondents was 31.6 (8.5) years with 75.1% (n = 270,311) and 49.2% (n = 177,165) of them being from rural area and having completed education up to secondary school, respectively. The overall utilization of modern temporary contraception was 66.1% [95%CI: 65.90-66.35, n = 237,953]. Multigravida (vs. nulligravida) [aPR = 2.13 (1.98-2.30)], higher education of husband (vs. not educated) [aPR = 1.20 (1.14-1.27)], urban (vs. rural) [aPR = 1.06 (1.03-1.10)], watching television less than once a week (vs. not at all) [aPR = 1.04 (1.01-1.08)], divorced (vs. married) [aPR = 0.65 (0.45-0.94)], and Scheduled Tribe (ST) (vs. unreserved) [aPR = 0.92 (0.88-0.96)] were significant independent determinants. The highest utilization of male condoms, IUCDs, pills and injections were in Himachal Pradesh (86%), Nagaland (64%), Tripura (85%), and Ladakh (20%), respectively. Out of every ten reproductive-aged (15-49 years) women in India, six are using temporary modern contraceptive methods. More intervention strategies should be planned, considering factors like gravida, education, residence, health promotion and caste to attain replacement fertility level.