Evidence map›Paper›PMID 39253283›Full record

ArticleFrontiers in public health2024

Developing a digital data platform for surveillance of food and water-borne pathogens in North East India: insight for public health advocacy.

Samaresh Das, Harleen Kaur, Subhankar Mukherjee, Manas Chakraborty, Raja Gupta, Shalony Roy, Indranil Ganguly, Tapan Majumdar, Karma Gyurmey Dolma, Pallab Sharma and 4 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Impact of Farm Management Practices onFoods (Basel, Switzerland) · 2026
    Review
  2. Antimicrobial evaluation ofFrontiers in microbiology · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Samaresh Das *Centre for Development of Advanced Computing (CDAC), Kolkata, India.
Harleen Kaur *ICMR-National Institute for Research in Digital Health and Data Science (ICMR-NIRDHDS), New Delhi, India.
Subhankar MukherjeeCentre for Development of Advanced Computing (CDAC), Kolkata, India.
Manas ChakrabortyCentre for Development of Advanced Computing (CDAC), Kolkata, India.
Raja GuptaCentre for Development of Advanced Computing (CDAC), Kolkata, India.
Shalony RoyCentre for Development of Advanced Computing (CDAC), Kolkata, India.
Indranil GangulyCentre for Development of Advanced Computing (CDAC), Kolkata, India.
Tapan MajumdarDepartment of Microbiology, Agartala Government Medical College, Agartala, India.
Karma Gyurmey DolmaDepartment of Microbiology, Sikkim Manipal Institute of Medical Sciences (SMIMS), Sikkim Manipal University, Gangtok, India.
Pallab SharmaICMR Regional Medical Research Centre (RMRC), Dibrugarh, India.
Suranjana Chaliha HazarikaDepartment of Microbiology, Gauhati Medical College and Hospital, Guwahati, India.
Dalem ModiDepartment of Microbiology, Bankin Pertin General Hospital and Research Institute, Pasighat, India.
Thandavarayan RamamurthyICMR-National Institute of Cholera and Enteric Diseases (NICED), Kolkata, India.
Madhuchhanda DasIndian Council of Medical Research, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robust digital infrastructure is vital and the need of the hour, especially in the healthcare sector, for real-time data generation, analysis, and quick decision-making. Food- and water-borne illnesses represent a prominent cause of morbidity and mortality worldwide. India, a developing nation with diverse cultures and food practices, poses a high risk of food-borne diseases and outbreaks, yet is often underreported and ineffectively researched. Also, the unique socio-economic and environmental factors of the Northeast (NE) region contribute to the high burden of food-borne diseases. To address these trepidations, the Indian Council of Medical Research (ICMR) has undertaken a study for the surveillance of food-borne pathogens in NE India. The present study focuses on the development of a digital database system for the systematic surveillance of foodborne disease outbreaks, aiming to address the gaps in traditional surveillance methods and improve disease detection and response capabilities. The digital system integrates mobile applications, web-based platforms, and advanced analytics tools to enable real-time data collection, dissemination, and analysis of food-borne illness data. Additionally, the secure and scalable nature of the system enhances data accuracy and accessibility, making it a valuable tool for enhancing food-borne disease surveillance efforts in resource-constrained settings.

Indexed as

Disease OutbreaksFoodborne DiseasesPublic HealthHumansIndiaMobile ApplicationsPublic Health SurveillanceWaterborne DiseasesFood-borneICMRNE Indiapublic healthsurveillance

Identifiers

PMID39253283
PMCPMC11381271

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.