Evidence map›Paper›PMID 34099066›Full record

SynthesisInfectious diseases of poverty2021

Biogeographical characteristics of Schistosoma mansoni endemic areas in Ethiopia: a systematic review and meta analysis.

Keerati Ponpetch, Berhanu Erko, Teshome Bekana, Lindsay Richards, Song Liang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Infectious diseases of poverty, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Prevalence ofEnvironmental health insights · 2026
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  12. A Comparative Cross-Sectional Study of Coagulation Profiles and Platelet Parameters ofInterdisciplinary perspectives on infectious diseases · 2022
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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

5 authors.

Keerati PonpetchDepartment of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL, 32610, USA. keerati@scphtrang.ac.th.ORCID http://orcid.org/0000-0002-2228-8856
Berhanu ErkoAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Teshome BekanaAklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Lindsay RichardsUniversity of Miami Miller School of Medicine, Miami, FL, 33136, USA.
Song LiangDepartment of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL, 32610, USA.

Funding

Spatio-temporal data integration methods for infectious disease surveillanceR01AI125842 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI CHANG, HOWARD H, REMAIS, JUSTIN V · 2017 to 2021
$3.6M
NIAID NIH HHS R01 AI125842NIH HHS R01AI125842
6 · The paper itself

Abstract

backgroundIn Ethiopia, schistosomiasis is caused by Schistosoma mansoni and S. haematobium with the former being widespread and more than 4 million people are estimated to be infected by S. mansoni annually with 35 million at risk of infection. Although many school- and community-based epidemiological surveys were conducted over the past decades, the national distribution of schistosomiasis endemic areas and associated socio-environmental determinants remain less well understood. In this paper, we review S. mansoni prevalence of infections and describe key biogeographical characteristics in the endemic areas in Ethiopia.

methodsWe developed a database of S. mansoni infection surveys in Ethiopia through a systematic review by searching articles published between 1975 and 2019 on electronic online databases including PubMed, ScienceDirect, and Web of Science. A total of 62 studies involving 95 survey locations were included in the analysis. We estimated adjusted prevalence of infection from each survey by considering sensitivity and specificity of diagnostic tests using Bayesian approach. All survey locations were georeferenced and associated environmental and geographical characteristics (e.g. elevation, normalized difference vegetation index, soil properties, wealth index, and climatic data) were described using descriptive statistics and meta-analysis.

resultsThe results showed that the surveys exhibited a wide range of adjusted prevalence of infections from 0.5% to 99.5%, and 36.8% of the survey sites had adjusted prevalence of infection higher than 50%. S. mansoni endemic areas were distributed in six regional states with the majority of surveys being in Amhara and Oromia. Endemic sites were found at altitudes from 847.6 to 3141.8 m above sea level, annual mean temperatures between 17.9 and 29.8 ℃, annual cumulative precipitation between 1400 and 1898 mm, normalized difference vegetation index between 0.03 and 0.8, wealth index score between -68 857 and 179 756; and sand, silt, and clay fraction in soil between 19.1-47.2, 23.0-36.7, and 20.0-52.8 g/100 g, respectively.

conclusionsThe distribution of S. mansoni endemic areas and prevalence of infections exhibit remarked environmental and ecological heterogeneities. Future research is needed to understand how much these heterogeneities drive the parasite distribution and transmission in the region.

Indexed as

Schistosoma mansoniSchistosomiasis mansoniAnimalsBayes TheoremCross-Sectional StudiesEthiopiaHumansPrevalenceBiogeographical characteristicEthiopiaSchistosoma mansoniSystematic review

Identifiers

PMID34099066
PMCPMC8185935

What OpenQuestion holds

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LicenceCC BY
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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.