Prashanth Nuggehalli Srinivas

Dr. Prashanth Nuggehalli Srinivas

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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2010 in Pediatrics
Verified
Journal Article
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SPSant-Rayn Pasricha
Sant-Rayn Pasricha
JBJames Black
James Black
SMSumithra Muthayya
Sumithra Muthayya
ASAnita Shet
Anita Shet
VBVijay Bhat
Vijay Bhat
ASArun S. Shet
Arun S. Shet
OBJECTIVE: More than 75% of Indian toddlers are anemic. Data on factors associated with anemia in India are limited. The objective of this study was to determine biological, nutritional, and socioeconomic risk factors for anemia in this vulnerable age group.METHODS: We conducted a cross-sectional study of children aged 12 to 23 months in 2 rural districts of Karnataka, India. Children were excluded if they were unwell or had received a blood transfusion. Hemoglobin, ferritin, folate, vitamin B12, retinol-binding protein, and C-reactive protein (CRP) levels were determined. Children were also tested for hemoglobinopathy, malaria infection, and hookworm infestation. Anthropometric measurements, nutritional intake, family wealth, and food security were recorded. In addition, maternal hemoglobin level was measured.RESULTS: Anemia (hemoglobin level < 11.0 g/dL) was detected in 75.3% of the 401 children sampled. Anemia was associated with iron deficiency (low ferritin level), maternal anemia, and food insecurity. Children's ferritin levels were directly associated with their iron intake and CRP levels and with maternal hemoglobin level and inversely associated with continued breastfeeding and the child's energy intake. A multivariate model for the child's hemoglobin level revealed associations with log(ferritin level) (coefficient: 1.20; P < .001), folate level (0.05; P < .01), maternal hemoglobin level (0.16; P < .001), family wealth index (0.02; P < .05), child's age (0.05 per month; P < .005), hemoglobinopathy (−1.51; P < .001), CRP level (−0.18; P < .001), and male gender (−0.38; P < .05). Wealth index and food insecurity could be interchanged in this model.CONCLUSIONS: Hemoglobin level was primarily associated with iron status in these Indian toddlers; however, maternal hemoglobin level, family wealth, and food insecurity were also important factors. Strategies for minimizing childhood anemia must include optimized iron intake but should simultaneously address maternal anemia, poverty, and food insecurity.

26 March 2024 in Nature Communications
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RPRaina Plowright
Raina Plowright
AAAliyu N. Ahmed
Aliyu N. Ahmed
TCTim Coulson
Tim Coulson
TCThomas W. Crowther
Thomas W. Crowther
IEImran Ejotre
Imran Ejotre
AKAnnika T. H. Keeley
Annika T. H. Keeley
Substantial global attention is focused on how to reduce the risk of future pandemics. Reducing this risk requires investment in prevention, preparedness, and response. Although preparedness and response have received significant focus, prevention, especially the prevention of zoonotic spillover, remains largely absent from global conversations. This oversight is due in part to the lack of a clear definition of prevention and lack of guidance on how to achieve it. To address this gap, we elucidate the mechanisms linking environmental change and zoonotic spillover using spillover of viruses from bats as a case study. We identify ecological interventions that can disrupt these spillover mechanisms and propose policy frameworks for their implementation. Recognizing that pandemics originate in ecological systems, we advocate for integrating ecological approaches alongside biomedical approaches in a comprehensive and balanced pandemic prevention strategy.

27 July 2020 in BMJ Global Health
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WDWim Van Damme
Wim Van Damme
RDRitwik Dahake
Ritwik Dahake
ADAlexandre Delamou
Alexandre Delamou
BIBrecht Ingelbeen
Brecht Ingelbeen
EWEdwin Wouters
Edwin Wouters
YAYibeltal Assefa
Yibeltal Assefa
It is very exceptional that a new disease becomes a true pandemic. Since its emergence in Wuhan, China, in late 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19, has spread to nearly all countries of the world in only a few months. However, in different countries, the COVID-19 epidemic takes variable shapes and forms in how it affects communities. Until now, the insights gained on COVID-19 have been largely dominated by the COVID-19 epidemics and the lockdowns in China, Europe and the USA. But this variety of global trajectories is little described, analysed or understood. In only a few months, an enormous amount of scientific evidence on SARS-CoV-2 and COVID-19 has been uncovered (knowns). But important knowledge gaps remain (unknowns). Learning from the variety of ways the COVID-19 epidemic is unfolding across the globe can potentially contribute to solving the COVID-19 puzzle. This paper tries to make sense of this variability—by exploring the important role that context plays in these different COVID-19 epidemics; by comparing COVID-19 epidemics with other respiratory diseases, including other coronaviruses that circulate continuously; and by highlighting the critical unknowns and uncertainties that remain. These unknowns and uncertainties require a deeper understanding of the variable trajectories of COVID-19. Unravelling them will be important for discerning potential future scenarios, such as the first wave in virgin territories still untouched by COVID-19 and for future waves elsewhere.

3 January 2018 in BMJ Global Health
Verified
Journal Article
Open access
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MEMaya Annie Elias
Maya Annie Elias
MPManoj Kumar Pati
Manoj Kumar Pati
PAPraveenkumar Aivalli
Praveenkumar Aivalli
BSBhanuprakash Srinath
Bhanuprakash Srinath
CMChikkagollahalli Munegowda
Chikkagollahalli Munegowda
PSPrashanth Nuggehalli Srinivas
Prashanth Nuggehalli Srinivas
Introduction Non-communicable diseases (NCDs) have become a major public health challenge worldwide; they account for 28 million deaths per year in low-and-middle-income countries (LMICs). Like many other LMICs, India is struggling to organise quality care for a large NCD-affected population especially at the primary healthcare level. The aim of this study was to assess local health system preparedness in a south Indian primary healthcare setting for addressing diabetes and hypertension. Methods This paper draws on a mixed-methods research study on access to medicines conducted in Tumkur, Karnataka, India. We used quantitative data from household and health facility surveys, and qualitative data from focus group discussions and in-depth interviews with health workers and patients. We identified systemic drivers that influence utilisation of services at government primary health centres (PHCs) using thematic analysis of qualitative data and a systems framework on access to medicines to assess supply and demand side factors. Results Majority of households depend on private facilities for diabetes and hypertension care because of the lack of laboratory facilities and frequent medicine stockouts at PHCs. Financial and managerial resource allocation for NCDs and prioritisation of care and processes related to NCDs was suboptimal compared to the prominence of this agenda at global and national levels. Primary healthcare has a limited role even in the activities under the national programme that addresses diabetes and hypertension. Discussion The study finds critical gaps in the preparedness of PHCs and district health systems in organising and managing care for diabetes and hypertension. Due to the lack of continuous care organised through PHCs, patients depend on expensive and often episodic care in the private sector. There is a need to improve managerial and financial resource allocation towards diabetes and hypertension (and other NCDs) at the district level. Trial registration number CTRI/2015/03/005640; Pre-results.

25 November 2021 in Expert Review of Vaccines
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Journal Article
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RPRemco Van De Pas
Remco Van De Pas
MWMarc-Alain Widdowson
Marc-Alain Widdowson
RRRaffaella Ravinetto
Raffaella Ravinetto
PSPrashanth Nuggehalli Srinivas
Prashanth Nuggehalli Srinivas
TOTheresa J. Ochoa
Theresa J. Ochoa
WDWim Van Damme
Wim Van Damme
The global COVID-19 vaccine rollout has highlighted inequities in the accessibility of countries to COVID-19 vaccines. Populations in low- and middle-income countries have found it difficult to hav...

26 August 2014 in Health Research Policy and Systems
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Journal Article
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PSPrashanth Nuggehalli Srinivas
Prashanth Nuggehalli Srinivas
BMBruno Marchal
Bruno Marchal
NDNarayanan Devadasan
Narayanan Devadasan
GKGuy Kegels
Guy Kegels
BCBart Criel
Bart Criel
Health systems interventions, such as capacity-building of health workers, are implemented across districts in order to improve performance of healthcare organisations. However, such interventions often work in some settings and not in others. Local health systems could be visualised as complex adaptive systems that respond variously to inputs of capacity building interventions, depending on their local conditions and several individual, institutional, and environmental factors. We aim at demonstrating how the realist evaluation approach advances complex systems thinking in healthcare evaluation by applying the approach to understand organisational change within local health systems in the Tumkur district of southern India. We collected data on several input, process, and outcome measures of performance of the talukas (administrative sub-units of the district) and explore the interplay between the individual, institutional, and contextual factors in contributing to the outcomes using qualitative data (interview transcripts and observation notes) and quantitative measures of commitment, self-efficacy, and supervision style. The talukas of Tumkur district responded differently to the intervention. Their responses can be explained by the interactions between several individual, institutional, and environmental factors. In a taluka with committed staff and a positive intention to make changes, the intervention worked through aligning with existing opportunities from the decentralisation process to improve performance. However, commitment towards the organisation was neither crucial nor sufficient. Committed staff in two other talukas were unable to actualise their intentions to improve organisational performance. In yet another taluka, the leadership was able to compensate for the lack of commitment. Capacity building of local health systems could work through aligning or countering existing relationships between internal (individual and organisational) and external (policy and socio-political environment) attributes of the organisation. At the design and implementation stage, intervention planners need to identify opportunities for such triggering alignments. Local health systems may differ in their internal configuration and hence capacity building programmes need to accommodate possibilities for change through different pathways. By a process of formulating and testing hypotheses, making critical comparisons, discovering empirical patterns, and monitoring their scope and extent, a realist evaluation enables a comprehensive assessment of system-wide change in health systems.