Evidence map›Paper›PMID 40176855›Full record

ReviewIJID regions2025

The Global Fund's Bangladesh program.

Md Ferdous Rahman, Md Sharful Islam Khan, M Mamun Huda, Utpal K Mondal, Muhammad J A Shiddiky, Allen G Ross

Abstract readReview
In one paragraph

Review in IJID regions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  6. Article
  7. Review
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

6 authors.

Md Ferdous RahmanRural Health Research Institute, Charles Sturt University, Orange, Australia.
Md Sharful Islam KhanProgramme for HIV and AIDS, Health Systems and Population Studies Division, International Centre for Diarrhoeal Diseases Research, Dhaka, Bangladesh.
M Mamun HudaRural Health Research Institute, Charles Sturt University, Orange, Australia.
Utpal K MondalRural Health Research Institute, Charles Sturt University, Orange, Australia.
Muhammad J A ShiddikyRural Health Research Institute, Charles Sturt University, Orange, Australia.
Allen G RossRural Health Research Institute, Charles Sturt University, Orange, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Global Fund program, launched in 2002, focuses on combating HIV/AIDS, tuberculosis (TB), and malaria. To date, it has mobilized over US$ 65 billion across 120 countries, contributing to saving more than 65 million lives. In Bangladesh, the Global Fund has played a pivotal role in expanding treatment coverage, enhancing case detection, and strengthening prevention efforts. Despite notable progress, significant challenges persist, particularly among high-risk populations such as people who inject drugs, sex workers, and transgender individuals. These groups face stigma and limited access to healthcare, both of which hinder disease control. Additionally, drug resistance presents a growing threat to the control of malaria and TB. Looking ahead, continued support from the Global Fund will be critical, particularly in scaling up diagnostic infrastructure, promoting community-led interventions, and enhancing cross-border collaboration. These efforts are essential to ensuring sustained progress and achieving the long-term goal of eliminating HIV, TB, and malaria in Bangladesh. Effective coordination among government agencies, non-governmental organizations, and international donors will be essential to ensure the success of these initiatives.

Indexed as

BangladeshGlobal fundHIVMalariaTuberculosis

Identifiers

PMID40176855
PMCPMC11964771

What OpenQuestion holds

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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.