Evidence map›Paper›PMID 26496983›Full record

SynthesisParasites & vectors2015

Modelling the distribution and transmission intensity of lymphatic filariasis in sub-Saharan Africa prior to scaling up interventions: integrated use of geostatistical and mathematical modelling.

Paula Moraga, Jorge Cano, Rebecca F Baggaley, John O Gyapong, Sammy M Njenga, Birgit Nikolay, Emmanuel Davies, Maria P Rebollo, Rachel L Pullan, Moses J Bockarie and 3 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Parasites & vectors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

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

  1. Pooled it
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  7. Review
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  14. Subnational Projections of Lymphatic Filariasis Elimination Targets in Ethiopia to Support National Level Policy.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
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  16. Observational
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  20. A game-theoretic model of lymphatic filariasis prevention.PLoS neglected tropical diseases · 2022
    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

13 authors.

Paula MoragaFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK. paula.moraga-serrano@lshtm.ac.uk.
Jorge CanoFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK. jcano.ortega@lshtm.ac.uk.
Rebecca F BaggaleyFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK. rebecca.baggaley@lshtm.ac.uk.
John O GyapongSchool of Public Health, College of Health Sciences, University of Ghana, Legon, Accra, Ghana. jgyapong@ug.edu.gh.
Sammy M NjengaEastern and Southern Africa Centre of International Parasite Control, Kenya Medical Research Institute, Nairobi, Kenya. SNjenga@kemri.org.
Birgit NikolayFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK. birgit.nikolay@lshtm.ac.uk.
Emmanuel DaviesMinistry of Health, Abuja, Nigeria. enimed2003@yahoo.com.
Maria P RebolloNTD Support Center, Task Force for Global Health, Emory University, Atlanta, USA. mrebollo@taskforce.org.
Rachel L PullanFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK. Rachel.Pullan@lshtm.ac.uk.
Moses J BockarieDepartment of Vector Biology, Liverpool School for Tropical Medicine, Liverpool, UK. Moses.Bockarie@liverpool.ac.uk.
T Déirdre HollingsworthWarwick Infectious Disease Epidemiology Research, Warwick Mathematics Institute, University of Warwick, Coventry, UK. deirdre.hollingsworth@warwick.ac.uk.
Manoj GambhirDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia. manoj.gambhir@monash.edu.
Simon J BrookerFaculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK. Simon.Brooker@lshtm.ac.uk.

Funding

Medical Research Council G1001337Wellcome TrustWellcome Trust 098045
6 · The paper itself

Abstract

backgroundLymphatic filariasis (LF) is one of the neglected tropical diseases targeted for global elimination. The ability to interrupt transmission is, partly, influenced by the underlying intensity of transmission and its geographical variation. This information can also help guide the design of targeted surveillance activities. The present study uses a combination of geostatistical and mathematical modelling to predict the prevalence and transmission intensity of LF prior to the implementation of large-scale control in sub-Saharan Africa.

methodsA systematic search of the literature was undertaken to identify surveys on the prevalence of Wuchereria bancrofti microfilaraemia (mf), based on blood smears, and on the prevalence of antigenaemia, based on the use of an immuno-chromatographic card test (ICT). Using a suite of environmental and demographic data, spatiotemporal multivariate models were fitted separately for mf prevalence and ICT-based prevalence within a Bayesian framework and used to make predictions for non-sampled areas. Maps of the dominant vector species of LF were also developed. The maps of predicted prevalence and vector distribution were linked to mathematical models of the transmission dynamics of LF to infer the intensity of transmission, quantified by the basic reproductive number (R0).

resultsThe literature search identified 1267 surveys that provide suitable data on the prevalence of mf and 2817 surveys that report the prevalence of antigenaemia. Distinct spatial predictions arose from the models for mf prevalence and ICT-based prevalence, with a wider geographical distribution when using ICT-based data. The vector distribution maps demonstrated the spatial variation of LF vector species. Mathematical modelling showed that the reproduction number (R0) estimates vary from 2.7 to 30, with large variations between and within regions.

conclusionsLF transmission is highly heterogeneous, and the developed maps can help guide intervention, monitoring and surveillance strategies as countries progress towards LF elimination.

Indexed as

Models, TheoreticalTopography, MedicalAfrica South of the SaharaAnimalsCommunicable Disease ControlElephantiasis, FilarialEpidemiological MonitoringPrevalenceSpatio-Temporal AnalysisWuchereria bancrofti

Identifiers

PMID26496983
PMCPMC4620019

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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.