Evidence map›Paper›PMID 32674441›Full record

ArticleInternational journal of environmental research and public health2020

Digital Surveillance for Monitoring Environmental Health Threats: A Case Study Capturing Public Opinion from Twitter about the 2019 Chennai Water Crisis.

Jiangmei Xiong, Yulin Hswen, John A Naslund

Open access · goldAbstract readCase Reports
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
7.5field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 45 citations in OpenAlex.

  1. Age-stratified prevalence of anti-hepatitis A virus antibodies in four metropolitan Indian cities and recent changes in Pune city.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Exploring the Factors Associated with Mental Health Attitude in China: A Structural Topic Modeling Approach.International journal of environmental research and public health · 2022
    Article
  6. Review
  7. Computing Techniques for Environmental Research and Public Health.International journal of environmental research and public health · 2021
    Article
  8. Real-Time Environment Monitoring Using a Lightweight Image Super-Resolution Network.International journal of environmental research and public health · 2021
    Article
  9. 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

3 authors at 3 institutions in 1 country.

Jiangmei XiongDepartment of Biostatistics, Vanderbilt University, Nashville, TN 37203, USA.
Yulin HswenComputational Epidemiology Lab, Harvard Medical School, Boston, MA 02215, USA.
John A NaslundDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02115, USA.
Boston Children's Hospital · USHarvard University · USVanderbilt University · US

Funding

ESSENCE (Enabling translation of Science to Service to ENhance Depression CarE) Scale-UpU19MH113211 · NIMH · HARVARD MEDICAL SCHOOL · PI NASLUND, JOHN A, PATEL, VIKRAM H · 2017 to 2023
$3.7M
NIMH NIH HHS U19 MH113211
6 · The paper itself

Abstract

Globally, water scarcity has become a common challenge across many regions. Digital surveillance holds promise for monitoring environmental threats to population health due to severe drought. The 2019 Chennai water crisis in India resulted in severe disruptions to social order and daily life, with local residents suffering due to water shortages. This case study explored public opinion captured through the Twitter social media platform, and whether this information could help local governments with emergency response. Sentiment analysis and topic modeling were used to explore public opinion through Twitter during the 2019 Chennai water crisis. The latent Dirichlet allocation (LDA) method identified topics that were most frequently discussed. A naïve Tweet classification method was built, and Twitter posts (called tweets) were allocated to identified topics. Topics were ranked, and corresponding emotions were calculated. A cross-correlation was performed to examine the relationship between online posts about the water crisis and actual rainfall, determined by precipitation levels. During the Chennai water crisis, Twitter users posted content that appeared to show anxiety about the impact of the drought, and also expressed concerns about the government response. Twitter users also mentioned causes for the drought and potential sustainable solutions, which appeared to be mainly positive in tone. Discussion on Twitter can reflect popular public opinion related to emerging environmental health threats. Twitter posts appear viable for informing crisis management as real-time data can be collected and analyzed. Governments and public health officials should adjust their policies and public communication by leveraging online data sources, which could inform disaster prevention measures.

Indexed as

Environmental HealthPublic OpinionSocial MediaWater SupplyHumansIndiaPublic HealthWaterWatercrisisdigital surveillancedisastersnatural language processingpublic opinionsocial mediawater

Identifiers

PMID32674441
PMCPMC7400361
OpenAlexW3043169077

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.