Evidence map›Paper›PMID 41202048›Full record

ArticlePLOS global public health2025

Geo-epidemiological risk stratification to select malaria interventions, case of Mali.

Mady Cissoko, Mahamadou Magassa, Ibrahim A Cissé, Seybou Coulibaly, Daouda S Samaké, Vincent Sanogo, Mamady Koné, Sylla Thiam, Tako Ballo, Samba Diarra and 4 more

Abstract read
In one paragraph

Article in PLOS global public health, 2025. 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. Article
  2. 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.

Mady CissokoProgramme National de Lutte contre le Paludisme, Bamako, Mali.ORCID https://orcid.org/0000-0002-0200-8191
Mahamadou MagassaProgramme National de Lutte contre le Paludisme, Bamako, Mali.
Ibrahim A CisséProgramme National de Lutte contre le Paludisme, Bamako, Mali.
Seybou CoulibalyProgramme National de Lutte contre le Paludisme, Bamako, Mali.
Daouda S SamakéProgramme National de Lutte contre le Paludisme, Bamako, Mali.
Vincent SanogoProgramme National de Lutte contre le Paludisme, Bamako, Mali.
Mamady KonéMalaria Research and Training Centre Ogobara K. Doumbo (MRTC-OKD), FMOS-FAPH, Mali-NIAID-ICER, Université des Sciences, des Techniques et des Technologies de Bamako, Bamako, Mali.ORCID https://orcid.org/0000-0002-9847-2115
Sylla ThiamSunu Santé Consulting Dakar, Dakar, Senegal.
Tako BalloProgramme National de Lutte contre le Paludisme, Bamako, Mali.
Samba DiarraThe United Nations International Children's Emergency Fund, Bamako, Mali.
Seydou FombaProgramme National de Lutte contre le Paludisme, Bamako, Mali.
Aïssata KonéProgramme National de Lutte contre le Paludisme, Bamako, Mali.
Jean GaudartAix Marseille Univ, APHM, INSERM, IRD, SESSTIM, ISSPAM, Hop Timone, BioSTIC, Biostatistic & ICT, Marseille, France.ORCID https://orcid.org/0000-0001-9006-5729
Issaka SagaraMalaria Research and Training Centre Ogobara K. Doumbo (MRTC-OKD), FMOS-FAPH, Mali-NIAID-ICER, Université des Sciences, des Techniques et des Technologies de Bamako, Bamako, Mali.ORCID https://orcid.org/0000-0002-8555-9983

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malaria is a public health threat in Mali, with high morbidity (37%) and mortality (25%) rates. Malaria risk stratification is needed to identify different risk transmission and select interventions, especially in resource-limited contexts. For the new National Strategic Plan, we updated stratification with World Health Organization (WHO) recommendation and presents the selection of interventions based on stratification. Data collection covered all the 75 Health Districts (HDs) in the country for the period 2018-2022. This was further supplemented by national survey data on parasitology and entomology in Mali. To estimate the adjusted incidence, the analysis considered health data reporting, malaria diagnostic positivity and health facility attendance rates at health district level to malaria cases estimated. Mixed interventions were defined based on adjusted incidence, prevalence, seasonality, vector resistance to insecticides and parasite distribution by Health Districts or region according to data available. Four strata have been defined according to the 2017 WHO Malaria Elimination Framework. Most HDs (54) fall within the highest and moderate transmission areas, covering 84% of the population (about 18 million) located in the southern and central regions. A total of 10 intervention packages were selected. We identified 61 out of 75 eligible HDs for the LLINs mass distribution campaign, 57 HDs for SMC, 67 for IPTp including community IPTp and 19 HD for vaccination. Geo-epidemiology of malaria risk and selection of interventions identified 55 districts with high malaria burden where major interventions will continue, specifically SMC, distribution of ITNs, and gradual introduction of vaccination in some of these 19 districts. Malaria stratification was critical for strategic planning and appropriate deployment of malaria control interventions in Mali.

Identifiers

PMID41202048
PMCPMC12594328

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.