Evidence map›Paper›PMID 42238889›Full record

ReviewFrontiers in microbiology2026

High diversity and distribution of ticks and tick-borne diseases in Sudan emphasizes the need for implementing cost-effective community One Health strategy.

Nouh Saad Mohamed, Ayman Ahmed

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nouh Saad MohamedPan-Africa One Health Institute (PAOHI), Kigali, Rwanda.
Ayman AhmedPan-Africa One Health Institute (PAOHI), Kigali, Rwanda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ticks and tick-borne diseases (TBDs) represent a growing challenge to both animal and human health in Sudan. However, the absence of consolidated nationwide data limits accurate characterization of tick fauna, monitoring of shifts in species distribution, and detection of invasive species. This knowledge gap not only constrains understanding of vector ecology but also weakens efforts to link tick distribution with disease occurrence, thereby undermining targeted control strategies. Livestock TBDs, including theileriosis, babesiosis, anaplasmosis, and lumpy skin disease, cause substantial economic losses by reducing productivity, threatening food security, and hindering national development. In parallel, zoonotic infections such as Crimean-Congo hemorrhagic fever, Q fever, borreliosis, ehrlichiosis, rickettsioses, and potentially tularemia pose underrecognized public health risks. These infections are frequently misdiagnosed or overlooked due to limited diagnostic capacity and the predominance of malaria in the differential diagnosis of febrile illness. The persistence and spread of TBDs in Sudan are driven by interconnected factors, including high livestock mobility, widespread presence of competent vectors, weak veterinary and public health infrastructure, and inadequate surveillance systems. Addressing this multifaceted burden requires integrated approaches that combine improved vector control, expanded diagnostic capacity and surveillance, vaccination where available, and strengthened regional cross-border collaboration. This review synthesizes current knowledge on ticks and TBDs in Sudan, highlights critical gaps, and emphasizes the need for One Health strategies to reduce TBD transmission, protect livelihoods, and safeguard public health.

Indexed as

One Healthtick-borne diseasesticksvector controlvector distributionvector surveillancezoonoses

Identifiers

PMID42238889
PMCPMC13226000

What OpenQuestion holds

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Registered trials

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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.