The results identify a pronounced gap between support for male vaccination and personal vaccination practice in the studied population. Researchers surveyed young male healthcare professionals and students from diverse backgrounds working in public and private healthcare settings across Delhi NCR between March 2022 and April 2023. The quantitative arm used convenience sampling and included 299 complete responses, while the qualitative arm consisted of interviews with 37 participants.

Quantitative responses were analyzed with descriptive statistics in SPSS version 30.0. For the interviews, the researchers manually transcribed the data and used a Grounded Theory Approach to identify themes. The study examined knowledge, attitudes and practices related to HPV vaccination, with the interviews exploring participants’ perceptions of HPV infection and vaccination.

Participants in the quantitative arm had a mean age of 24.6 years. Their relatively high attitude score, compared with their knowledge score, suggests that support for HPV vaccination was more widespread than detailed understanding of the subject. The contrast was especially apparent when researchers compared willingness to promote vaccination with vaccination uptake: more than eight in ten participants supported promoting HPV vaccination among Indian men, but roughly one in nine reported being vaccinated.

The study also found that engagement in unsafe sexual practices was significantly associated with age (p = 0.006), occupation (p = 0.004), education (p less than 0.001) and marital status (p = 0.003). These were statistical associations within the survey, not evidence that any listed characteristic caused the reported practices. Marital status was also significantly associated with willingness to engage in HPV-related awareness activities within personal networks (p less than 0.001).

The 37 interviewees had a mean age of 32.4 years, with a standard deviation of 6.2 years. Four themes emerged from the thematic analysis: HPV being seen as a female-specific issue, awareness not translating into action, systemic silence and missed opportunities, and cost-consciousness despite awareness. In the qualitative sample, 27% of interviewees held misconceptions about HPV, 18.9% felt there was a lack of a male-focused HPV vaccination drive, and 29.7% expressed affordability concerns because of the high vaccine cost.

These findings offer accounts of the gap observed in the survey. The authors concluded that the findings provide a foundation for larger studies of the barriers and facilitators to HPV vaccination among male healthcare professionals. They called for comprehensive educational, institutional and policy interventions to improve uptake and support equitable implementation of gender-neutral HPV vaccination.

Within that scope, the study documents a clear mismatch between willingness to promote male HPV vaccination and reported uptake, while identifying misconceptions, missed opportunities and cost concerns as issues that may merit further investigation.

Subject of Research: Knowledge, attitudes and vaccination practices among male healthcare professionals and students in Delhi NCR

Article Title: Assessing knowledge, attitudes and practices towards HPV vaccination among male healthcare professionals and students in Delhi National Capital Region: a mixed-method study

Article References: Kaur, K. N., Nandi, D., Chandrasekaran, S., Joseph, A., & Saeed, S. (2026). Assessing knowledge, attitudes and practices towards HPV vaccination among male healthcare professionals and students in Delhi National Capital Region: a mixed-method study. BMC Public Health. https://doi.org/10.1186/s12889-026-28719-w

Image Credits: AI Generated

DOI: 10.1186/s12889-026-28719-w

Keywords: HPV vaccination, male health, Delhi NCR, healthcare professionals, vaccine uptake, mixed-method study, public health, India, Assessing, knowledge, attitudes, practices

The satellites in question belong to the Gravity Recovery and Climate Experiment, known as GRACE, a joint NASA and German Aerospace Center mission that operated from 2002 to 2017 and was later continued by its successor, GRACE Follow-On. Rather than photographing the surface, GRACE tracks the distance between two orbiting spacecraft with extraordinary precision. When the mass of water stored in soils, aquifers and surface reservoirs shifts beneath them, the resulting gravitational tug subtly alters that distance. By measuring these minute changes, scientists can calculate how much water a region gains or loses each month, a quantity called the change in terrestrial water storage. The technique has transformed hydrology, but it comes with a fundamental catch: the gravity signal is smeared across enormous areas, so a single GRACE data point represents a block of land roughly 150,000 to 200,000 square kilometers in size. For a basin where a farmer’s tube well in one district may be draining an aquifer while a neighboring district recharges after monsoon rains, that blur hides exactly the local detail that water managers need most.

In a study published in Environmental Monitoring and Assessment, Chethan Varadaganahalli Anandagowda, Bhaskar R. Nikam and Suresh Kannaujiya tackled this resolution problem by teaching statistical models to translate the coarse satellite signal into fine-grained maps. Their approach, known as downscaling, exploits the fact that water storage changes are closely linked to variables that satellites and models can observe at much finer scales, including rainfall, soil moisture, evapotranspiration, temperature and terrain. The researchers built monthly climatology-based regression models that relate these high-resolution environmental datasets to the GRACE measurements, then used the learned relationships to estimate water storage change on a grid of 0.25 degrees by 0.25 degrees, roughly 25 to 28 kilometers per side. That is a dramatic sharpening of the effective resolution, bringing the satellite picture down to a scale where individual districts and aquifer systems begin to separate.

The heart of the method was a comparison of several statistical and machine learning approaches, including multiple linear regression, partial least squares regression and random forest modeling. The random forest technique, an ensemble method that builds hundreds of decision trees and averages their predictions, emerged as the clear winner. It achieved a Pearson correlation coefficient of 0.78 against validation data, meaning it captured more than three quarters of the variance in the observed storage signal, with a root mean square error of 12.3 centimeters of equivalent water height. In practical terms, the model could reproduce the month-to-month ebb and flow of the basin’s water storage with an accuracy that makes the downscaled maps genuinely useful rather than merely illustrative. The team validated their results using k-fold cross validation, a technique that repeatedly trains the model on most of the data and tests it on the withheld remainder, guarding against the model simply memorizing patterns rather than learning real physical relationships.

With the sharpened storage maps in hand, the researchers turned to the question that matters most for the Ganga Basin: what is happening to its groundwater specifically. GRACE measures all water stored on and below the land surface, so isolating the groundwater component requires subtracting the contributions of soil moisture, surface water and canopy storage. The team used products from the Global Land Data Assimilation System, a NASA modeling framework that simulates land surface water fluxes, together with satellite soil moisture records from the European Space Agency’s Climate Change Initiative, to strip away these shallower reservoirs. What remained was an estimate of groundwater storage change, which they then compared against observations from monitoring wells across the basin, converted to storage terms using specific yield values for the aquifer material.

The agreement between the space-based and ground-based estimates was striking, with both showing a consistent declining trend across the basin. But the fine-resolution data revealed something the coarse GRACE footprint had smoothed away: the decline is not uniform, and in some places it is far steeper than previous studies had suggested. Over the Delhi National Capital Region and Western Uttar Pradesh, regions where explosive population growth and intensive irrigation place enormous pressure on the aquifers, the downscaled estimates showed groundwater storage falling at rates of 4.69 to 7.16 centimeters of equivalent water height per year. Those figures are more severe than the trends reported in earlier basin-wide analyses, and they pinpoint the western Ganga plains as the epicenter of the basin’s groundwater crisis. The finding matters because it demonstrates that coarse satellite data, by averaging heavily depleted zones with less stressed ones, can systematically understate the intensity of depletion in the worst-affected areas.

The study went beyond storage trends to tackle drought, using multiple drought indices computed from the water storage record to identify major hydrometeorological drought events across the basin. Drought indices condense complex hydrological information into standardized measures of severity, allowing events to be compared across time and space. The analysis identified several significant drought episodes during the satellite era, but one stood out above the rest: the period from August 2015 to October 2017, which the researchers identified as the most intense drought in the record, persisting for a remarkable 27 consecutive months. That two-and-a-quarter-year event, which coincided with consecutive weak monsoon seasons, placed sustained stress on both surface reservoirs and the aquifers that farmers turned to when canals and rivers ran low. Because the downscaled data resolves the drought’s footprint at district scale, it shows which parts of the basin bore the brunt of that prolonged deficit rather than blurring the event into a basin-wide average.

The implications extend well beyond academic hydrology. India’s Central Ground Water Board assesses the country’s groundwater resources annually, but its estimates depend on the density and quality of well observations, which vary widely across states. Satellite-derived storage change offers an independent check on those assessments, and the downscaling approach demonstrated here brings that check down to a scale where it can inform district-level management decisions, from regulating well permits to planning managed aquifer recharge. The researchers note that their findings enhance understanding of local-scale groundwater abstractions and can contribute to sustainable water resource management in a basin where climate change is expected to make the monsoon more erratic even as demand continues to grow. Every centimeter of equivalent water height in these maps represents billions of cubic meters, so a decline of seven centimeters per year in a heavily farmed region translates into a withdrawal of water that took centuries or millennia to accumulate.

There are also lessons here for how the global scientific community monitors water in data-sparse regions. The Ganga Basin is hardly unique: aquifers from the North China Plain to California’s Central Valley to the Middle East are being drawn down faster than they refill, and in many of these places the observational infrastructure is thin. The success of the random forest approach, which outperformed classical regression methods by capturing nonlinear relationships between climate variables and storage change, suggests a transferable recipe. The datasets the team relied on, including GRACE mass grids processed at the University of Texas Center for Space Research, CHIRPS rainfall estimates, GLDAS model outputs, ESA soil moisture records and Indian well observations, are all freely available, meaning the workflow could be replicated for other stressed basins at little cost. As the GRACE Follow-On mission continues to deliver gravity data and machine learning tools grow more capable, the gap between what satellites can see and what water managers need to know keeps narrowing. For the Ganga Basin, that narrowing gap has just exposed an uncomfortable truth: the water is leaving faster, and in more places, than the blur of the old maps ever let on.

Subject of Research: Downscaling GRACE satellite gravity data with machine learning to assess groundwater depletion and drought in the Ganga Basin

Article Title: Downscaling GRACE storage change to analyze groundwater dynamics and drought evaluation in the Ganga Basin

Article References: Anandagowda, C. V., Nikam, B. R., & Kannaujiya, S. (2026). Downscaling GRACE storage change to analyze groundwater dynamics and drought evaluation in the Ganga Basin. Environmental Monitoring and Assessment, 198(11), Article 1146. https://doi.org/10.1007/s10661-026-16002-9

Image Credits: AI Generated

DOI: 10.1007/s10661-026-16002-9

Keywords: GRACE, groundwater, Ganga Basin, downscaling, random forest, machine learning, drought, terrestrial water storage, remote sensing, Delhi-NCR, Uttar Pradesh, water resources

At the molecular level, the circulating strain belongs to the family Orthomyxoviridae and carries a negative-sense, single-stranded, segmented RNA genome that encodes the structural and non-structural proteins required for its replication cycle. The two primary surface glycoproteins, hemagglutinin and neuraminidase, govern the critical steps of host cell attachment, viral entry, and release of progeny virions. Hemagglutinin binds to alpha-2,6-linked sialic acid receptors, which are abundantly expressed on human upper respiratory epithelial cells, anchoring the virus to its preferred portal of entry. Once attached, the virion is taken up by receptor-mediated endocytosis, and the low pH of the endosome triggers a conformational change in hemagglutinin that fuses the viral envelope with the endosomal membrane. This allows uncoating of the viral ribonucleoprotein complexes and their import into the host cell nucleus, where the viral RNA-dependent RNA polymerase executes replication and transcription. Neuraminidase then cleaves terminal sialic acid residues from the host cell surface, preventing newly formed virions from aggregating and permitting efficient budding and dissemination throughout the respiratory tract.

Environmental conditions in the National Capital Region play a decisive role in shaping transmission dynamics, and they differ sharply from the patterns seen in temperate climates. Rather than producing a single crisp winter peak, northern India experiences seasonal viral persistence predisposed by high ambient humidity, monsoon precipitation, and subsequent winter thermal inversions that trap polluted air close to the ground. High humidity and poor air circulation in enclosed spaces facilitate the stability and transport of fine micro-aerosols alongside the larger respiratory droplets generated by coughing, sneezing, and even vocalization. Indoor crowding during spells of inclement weather increases close-contact exposure, while contaminated environmental surfaces serve as secondary vectors for indirect mucosal self-inoculation when people touch their faces after contact with contaminated fomites. Following exposure, the virus exhibits an incubation period of roughly one to four days, a window during which asymptomatic or presymptomatic viral shedding can seed community transmission chains well before the first overt clinical presentation, complicating efforts to contain spread through symptom-based screening alone.

The clinical spectrum of A(H1N1) infection ranges from mild, uncomplicated upper respiratory illness to fulminant, life-threatening systemic disease. Typical uncomplicated cases present with abrupt-onset fever, non-productive cough, pharyngeal erythema, nasal congestion, severe retro-orbital or generalized headache, diffuse myalgia, and profound constitutional fatigue. Pediatric cohorts frequently show prominent gastrointestinal involvement, including nausea, vomiting, and diarrhea, layered on top of systemic febrile illness. In a subset of patients, viral tropism for the lower respiratory tract precipitates rapid tissue damage, characterized by necrotizing tracheobronchitis, diffuse alveolar damage, impaired gas exchange, and eventual acute respiratory distress syndrome. Viral destruction of the respiratory epithelium also strips away a critical innate barrier, leaving the lower airways highly vulnerable to secondary bacterial superinfections, most notably those caused by Streptococcus pneumoniae, Staphylococcus aureus, and Streptococcus pyogenes. These bacterial complications historically account for a substantial share of influenza-related morbidity and mortality, which is why clinicians are urged to watch for clinical deterioration beyond the expected viral course.

Identifying high-risk populations is central to early intervention and rational allocation of scarce clinical resources. Pregnant women represent an exceptionally vulnerable cohort because physiological alterations in cell-mediated immunity, decreased chest wall compliance, and elevated maternal oxygen consumption collectively heighten the risk of rapid pulmonary decompensation. The extreme age groups face elevated danger as well: infants under five years experience heightened morbidity because of immature immune responses, while adults aged sixty-five and older are compromised by immunosenescence, the gradual decline of immune function with age. Individuals with underlying chronic comorbidities, including diabetes mellitus, chronic obstructive pulmonary disease, bronchial asthma, congestive heart failure, chronic renal insufficiency, hepatic dysfunction, neurological disorders, morbid obesity, and active immunosuppression, face significantly higher rates of hospitalization, intensive care unit admission, and death. For these groups, clinicians emphasize that even seemingly mild respiratory symptoms early in an influenza wave warrant a low threshold for testing and antiviral treatment.

Clinical monitoring during the surge must emphasize rapid detection of red-flag indicators that signal acute physiological deterioration. In adults, key warning signs requiring immediate emergency evaluation include progressive dyspnea, tachypnea, persistent central chest pressure, low peripheral oxygen saturation, central cyanosis, acute alteration of mental status, persistent high fever unresponsive to antipyretics, or a clinical relapse following transient symptom resolution. That last pattern, a biphasic worsening after apparent improvement, is particularly concerning because it often heralds secondary bacterial pneumonia. In pediatric patients, critical warning indicators include intercostal retractions, grunting, nasal flaring, lethargy, poor oral fluid intake leading to dehydration, persistent irritability, and breakthrough febrile seizures. Prompt recognition of these signs facilitates timely admission to higher-level care facilities capable of providing advanced respiratory support, including oxygen therapy and mechanical ventilation, which can be decisive in severe lower respiratory tract disease.

Definitive clinical management, the analysis stresses, relies on rigorous diagnostic testing and targeted pharmacological therapy rather than empirical broad-spectrum interventions. Reverse transcription-polymerase chain reaction remains the gold standard diagnostic technique for hospitalized or severe cases, enabling accurate differentiation of H1N1 from co-circulating respiratory pathogens such as SARS-CoV-2, respiratory syncytial virus, adenovirus, and bacterial pneumonia. This differential matters because treatment pathways diverge sharply: antivirals benefit influenza, whereas antibacterial agents are clinically ineffective against a primary viral pathogen and contravene global antimicrobial stewardship principles when used empirically. The authors are emphatic that antibiotics should be strictly reserved for cases with confirmed or highly suspected secondary bacterial co-infections, a discipline that protects both individual patients from unnecessary drug exposure and the broader community from accelerating antimicrobial resistance, an already serious problem in South Asian healthcare settings.

On the therapeutic front, neuraminidase inhibitors, particularly oral oseltamivir, form the cornerstone of antiviral therapy for patients with severe, progressive, or complicated disease, as well as for all high-risk individuals presenting with respiratory illness during the surge. Timing is critical: antiviral treatment provides optimal benefit when initiated within 48 hours of symptom onset, significantly dampening viral replication, shortening the duration of illness, and lowering the incidence of severe complications. Meta-analytic evidence from hospitalized H1N1pdm09 cohorts has linked early neuraminidase inhibitor use with reduced mortality, reinforcing the case for prompt empirical treatment of high-risk patients even before laboratory confirmation returns. Because the drug targets the neuraminidase protein rather than the hemagglutinin antigen that drifts seasonally, it retains activity against the A/Missouri/11/2025-like variant now circulating in India, providing a reliable pharmacological backstop while vaccination programs catch up.

Prevention, ultimately, remains the most cost-effective strategy, and the authors outline a comprehensive, layered framework. Annual seasonal influenza vaccination sits at its core, with the current vaccine exhibiting strong antigenic concordance with the circulating A(H1N1)pdm09 clade, a consequence of the World Health Organization’s strain selection for the 2025-2026 Northern Hemisphere season. Around that pharmacological anchor, the framework integrates non-pharmaceutical interventions: home isolation of symptomatic individuals, frequent hand hygiene, respiratory etiquette, enhanced indoor ventilation, and the use of well-fitted N95 respirators in high-density environments such as public transport, markets, and healthcare facilities. For a densely populated tropical and subtropical megaregion where monsoon humidity and winter thermal inversions prolong viral viability, these measures collectively reduce the effective reproduction number of the virus. The 2026 surge, the analysis concludes, is a reminder that seasonal influenza remains a formidable and recurring public health threat, but one whose trajectory can be substantially blunted by surveillance, vaccination, judicious antiviral use, and disciplined antimicrobial stewardship.

Subject of Research: The 2026 seasonal resurgence of influenza A(H1N1)pdm09 in India and evidence-based strategies for its prevention and clinical management

Article Title: H1N1 seasonal surge in India, 2026: Emerging public health threat and evidence based preventive strategies

Article References: Choudhary, O. P., & Choudhary, P. (2026). H1N1 seasonal surge in India, 2026: Emerging public health threat and evidence based preventive strategies. New Microbes and New Infections, 73, Article 101836. https://doi.org/10.1016/j.nmni.2026.101836

Image Credits: AI Generated

DOI: 10.1016/j.nmni.2026.101836

Keywords: H1N1, influenza A(H1N1)pdm09, India, Delhi-NCR, seasonal influenza, oseltamivir, neuraminidase inhibitors, influenza vaccination, RT-PCR, respiratory transmission, public health surveillance, antimicrobial stewardship