Evidence map›Paper›PMID 32979588›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020

Disease surveillance during a large religious mass gathering in India: The Prayagraj Kumbh 2019 experience.

Vikasendu Aggrawal, Tanzin Dikid, S K Jain, Ashu Pandey, Pradeep Khasnobis, Sushma Choudhary, Ramesh Chandra, Amol Patil, Kiran Kumar Maramraj, Ashok Talyan and 21 more

Open access · goldAbstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
2.5field-weighted citation impact, top 10% of its field
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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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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

31 authors at 5 institutions in 2 countries.

Vikasendu AggrawalState Surveillance Office, Uttar Pradesh Department of Health, Lucknow, India. Electronic address: vikas_agg22@yahoo.co.in.
Tanzin DikidEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: tanzindikid@gmail.com.
S K JainEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: skj397@gmail.com.
Ashu PandeyState Surveillance Office, Uttar Pradesh Department of Health, Lucknow, India. Electronic address: drashupandey@gmail.com.
Pradeep KhasnobisEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: pradeepkhasnobis@gmail.com.
Sushma ChoudharySouth Asia Field Epidemiology and Technology Network, Delhi, India. Electronic address: sushmaniyati@gmail.com.
Ramesh ChandraEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: drrameshu1@gmail.com.
Amol PatilSouth Asia Field Epidemiology and Technology Network, Delhi, India. Electronic address: amol.patil03777@gmail.com.
Kiran Kumar MaramrajEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: kiran.maramraj@gmail.com.
Ashok TalyanEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: ashok.talyan@gmail.com.
Akhileshwar SinghEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: talk2akisingh@rediffmail.com.
Binoy S BabuEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: drbinoysbabu@gmail.com.
Akshay KumarEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: xakumar@gmail.com.
Davendra KumarEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: dr.davendrakumar@gmail.com.
P M RaveeshEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: ravi2556@gmail.com.
Jayanti SinghEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: jayantisingh@yahoo.com.
Rakesh KumarEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: drrkguptaupsacs@gmail.com.
S S QadriEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: ssaqadri@yahoo.com.
Preeti MadanEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: MDpreetimadan07@gmail.com.
Vaishali VardanEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: drvjmisale@gmail.com.
Kevisetue Anthony DzeyieEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: dzeyie@gmail.com.
Ginisha GuptaEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: ginishagupta1988@gmail.com.
Abhishek MishraEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: abhishekmishra85@gmail.com.
T P VaisakhEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: vaisakhtp@gmail.com.
Purvi PatelEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: eis6ppatel@gmail.com.
Azar JainulEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: drazareis@gmail.com.
Suneet KaurEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: suneet106@yahoo.co.in.
Anubhav ShrivastavaEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: phsgoi2017@gmail.com.
Meera DhuriaEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: meera.dhuria@gov.in.
Ritu ChauhanWorld Health Organization India Office, Delhi, India. Electronic address: chauhanr@who.int.
S K SinghEpidemiology Division, National Centre for Disease Control, Delhi, India. Electronic address: sk.singh59@nic.in.
National Center for Disease Control · INGovernment of Uttar Pradesh · INAfrican Field Epidemiology Network · UGSouth Asian University · INWorld Health Organization - India · IN

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundMass gathering (MG) events are associated with public health risks. During the period January 14 to March 4, 2019, Kumbh Mela in Prayagraj, India was attended by an estimated 120 million visitors. An onsite disease surveillance was established to identify and respond to disease outbreaks.

methodsA health coordination committee was established for planning. Disease surveillance was prioritized and risk assessment was done to identify diseases/conditions based on epidemic potential, severity of illness, and reporting requirement under the International Health Regulations (IHR) of 2005. A daily indicator and event-based disease surveillance was planned. The indicator-based surveillance (IBS) manually and electronically recorded data from patient hospital visits and collected MG area water testing data to assess trends. The event-based surveillance (EBS) helped identify outbreak signals based on pre-identified event triggers from the media, private health facilities, and the food safety department. Epidemic intelligence was used to analyse the data and events to detect signals, verify alerts, and initiate the response.

resultsAt Kumbh Mela, disease surveillance was established for 22 acute diseases/syndromes. Sixty-five health facilities reported 156 154 illnesses (21% of a total 738 526 hospital encounters). Among the reported illnesses, 95% (n = 148 834) were communicable diseases such as acute respiratory illness (n = 52 504, 5%), acute fever (n = 41 957, 28%), and skin infections (n = 27 094, 18%). The remaining 5% (n = 7300) were non-communicable diseases (injuries n = 6601, 90%; hypothermia n = 224, 3%; burns n = 210, 3%). Water samples tested inadequate for residual chlorine in 20% of samples (102/521). The incident command centre generated 12 early warning signals from IBS and EBS: acute diarrheal disease (n = 8, 66%), vector-borne disease (n = 2, 16%), vaccine-preventable disease (n = 1, 8%), and thermal event (n = 1, 8%). There were two outbreaks (acute gastroenteritis and chickenpox) that were investigated and controlled.

conclusionsThis onsite disease surveillance imparted a public health legacy by successfully implementing an epidemic intelligence enabled system for early disease detection and response to monitor public health risks. Acute respiratory illnesses emerged as a leading cause of morbidity among visitors. Future MG events should include disease surveillance as part of planning and augment capacity for acute respiratory illness diagnosis and management.

Indexed as

ReligionAdolescentAdultChildCommunicable DiseasesDiarrheaDisease OutbreaksFemaleFeverGastroenteritisHumansIndiaMalePopulation SurveillancePublic HealthRisk AssessmentEpidemic intelligenceKumbh IndiaMass gatheringSurveillance

Identifiers

PMID32979588
PMCPMC7513824
OpenAlexW3088231502

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.