Evidence map›Paper›PMID 36006294›Full record

ArticleTropical medicine and infectious disease2022

Using Routinely Collected Health Records to Identify the Fine-Resolution Spatial Patterns of Soil-Transmitted Helminth Infections in Rwanda.

Elias Nyandwi, Tom Veldkamp, Sherif Amer, Eugene Ruberanziza, Nadine Rujeni, Ireneé Umulisa

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Elias NyandwiCentre for Geographic Information Systems and Remote Sensing, College of Science and Technology, University of Rwanda, KN 73 Street, (Avenue de l'Armée), Kigali P.O. Box 4285, Rwanda.
Tom VeldkampFaculty of Geo-Information Science and Earth Observation, University of Twente, 7522 NB Enschede, The Netherlands.ORCID 0000-0002-9970-5902
Sherif AmerFaculty of Geo-Information Science and Earth Observation, University of Twente, 7522 NB Enschede, The Netherlands.
Eugene RuberanzizaRwanda Biomedical Centre, Malaria and Other Parasitic Diseases Unit, KG 644 Street, Kimihurura, Kigali P.O. Box 4285, Rwanda.
Nadine RujeniSchool of Health Sciences, College of Medicine and Health Sciences, University of Rwanda, KN 73 Street, (Avenue de l'Armée), Kigali P.O. Box 4285, Rwanda.
Ireneé UmulisaRwanda Biomedical Centre, Malaria and Other Parasitic Diseases Unit, KG 644 Street, Kimihurura, Kigali P.O. Box 4285, Rwanda.

Funding

Netherlands organisation for international cooperation NICHE / RWA / 071
6 · The paper itself

Abstract

Background. Soil-transmitted helminths (STH) are parasitic diseases with significant public health impact. Analysis is generally based on cross-sectional prevalence surveys; outcomes are mostly aggregated to larger spatial units. However, recent research demonstrates that infection levels and spatial patterns differ between STH species and tend to be localized. Methods. Incidence data of STHs including roundworm (Ascaris lumbricoides), whipworm (Trichuris trichiura) and hookworms per primary health facility for 2008 were linked to spatially delineated primary health center service areas. Prevalence data per district for individual and combined STH infections from the 2008 nationwide survey in Rwanda were also obtained. Results. A comparison of reported prevalence and incidence data indicated significant positive correlations for roundworm (R2 = 0.63) and hookworm (R2 = 0.27). Weak positive correlations were observed for whipworm (R2 = 0.02) and the three STHs combined (R2 = 0.10). Incidence of roundworm and whipworm were found to be focalized with significant spatial autocorrelation (Moran’s I > 0: 0.05−0.38 and p ≤ 0.03), with (very) high incidence rates in some focal areas. In contrast, hookworm incidence is ubiquitous and randomly distributed (Moran’s I > 0: 0.006 and p = 0.74) with very low incidence rates. Furthermore, an exploratory regression analysis identified relationships between helminth infection cases and potential environmental and socio-economic risk factors. Conclusions. Findings show that the spatial distribution of STH incidence is significantly associated with soil properties (sand proportion and pH), rainfall, wetlands and their uses, population density and proportion of rural residents. Identified spatial patterns are important for guiding STH prevention and control programs.

Indexed as

GISRwandasoil-transmitted helminth infectionspatial pattern

Identifiers

PMID36006294
PMCPMC9416347

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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.