Evidence map›Paper›PMID 40601715›Full record

ReviewPLoS neglected tropical diseases2025

Trend analysis and spatiotemporal distribution of leishmaniasis disease incidence in Sri Lanka: A detailed review from 2009 to 2023.

Nayana Gunathilaka, Deshaka Jayakody, Rajitha Wickremasinghe

Abstract readReview
In one paragraph

Review in PLoS neglected tropical diseases, 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

3 authors.

Nayana GunathilakaDepartment of Parasitology, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.ORCID 0000-0002-2690-8565
Deshaka JayakodyDepartment of Parasitology, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.
Rajitha WickremasingheDepartment of Public Health, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.

Funding

Research Council, University of Kelaniya, Sri Lanka
6 · The paper itself

Abstract

backgroundLeishmaniasis, a significant emerging and re-emerging zoonotic disease, has exhibited a marked increase in incidence globally and in Sri Lanka. Analyzing its incidence in different geographical locations provides insights into its transmission dynamics for designing and implementing control interventions. This study aimed to investigate the disease trends in Sri Lanka at the national level using statistical models.

methodWeekly records of leishmaniasis cases from 2009 to 2023 were accessed from the weekly epidemiology reports published by the Epidemiology Unit of the Ministry of Health, Sri Lanka. The incidence rate (IR) for each year for 25 administrative districts in Sri Lanka was calculated per 100,000 population using estimated population data published by the Department of Census and Statistics, Sri Lanka. The IR was modeled using a Generalized Additive Model for Location, Scale, and Shape (GAMLSS). Data were analyzed using R 4.4.0 software and gamlss, mgcv, sp, ggplot2, dplyr, and rgl packages.

resultsA total of 30,295 leishmaniasis cases were recorded, with Hambantota (68.32), Polonnaruwa (52.21), and Anuradhapura (40.30) districts reporting the highest IRs. These three districts, along with Matara (26.38), Matale (25.48), and Kurunegala (16.21), accounted for over 83% (n = 25,151) of reported cases. The IRs of Anuradhapura, Matale, Ratnapura, Kegalle, and Puttalam districts steadily increased over time after 2015 to almost 2.0 cases per 100,000 population by 2022. A seasonal variation is seen mid-year peaking around June to August.

conclusionsThis study reveals temporally regressive and spatially expanding incidence of cutaneous leishmaniasis in Sri Lanka with characteristic geographical patterns and disease hotspots, highlighting the need for comprehensive control strategies to prevent further spread and mitigate the impact of leishmaniasis in the country.

Indexed as

LeishmaniasisAnimalsHumansIncidencePattern Analysis, MachineSpatio-Temporal AnalysisSri Lanka

Identifiers

PMID40601715
PMCPMC12221050

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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.