Evidence map›Paper›PMID 39543999›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2024

Addressing Public Health Risks: Strategies to Combat Infectious Diseases After the August 2024 Floods in Bangladesh.

Fatema Hashem Rupa, Mosharop Hossian

Abstract read
In one paragraph

Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Fatema Hashem RupaDepartment of Microbiology, Mugda Medical College, Dhaka, Bangladesh.
Mosharop HossianPublic Health Promotion and Development Society (PPDS), Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The August 2024 floods in Bangladesh have precipitated a major public health crisis, significantly elevating the risk of waterborne and vector-borne diseases and exacerbating existing health vulnerabilities. This disaster has impacted over 5 million people, causing widespread environmental disruption, population displacement, and strained healthcare resources. The flooding of latrines, sewage systems, and agricultural land has led to the contamination of drinking water sources, increasing the risk of cholera, enterotoxigenic Escherichia coli diarrhoea, shigellosis, and hepatitis. Additionally, stagnant floodwaters have created breeding grounds for mosquitoes, thereby increasing the threat of malaria and dengue fever. The disruption of healthcare services has further compounded the crisis, delaying emergency responses and impeding access to care. The psychological impact on affected communities is profound, with mental health issues such as anxiety, depression, and post-traumatic stress disorder emerging as significant concerns. This perspective provides an analysis of these public health threats, supported by data on the impact of floods and a discussion of the underlying risk factors. This underscores the need for immediate and long-term public health interventions, including restoring clean water access, enhancing disease surveillance, repairing healthcare infrastructure, and addressing mental health needs. The response to this disaster must be rapid and comprehensive, with lessons learned to inform preparedness efforts to better manage similar events in the future.

Indexed as

FloodsPublic HealthBangladeshCommunicable DiseasesDisastersHumansRisk FactorsDisease outbreakFloodsInfectious disease

Identifiers

PMID39543999
PMCPMC11626110

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.