Evidence map›Paper›PMID 30533996›Full record

ArticleTropical medicine and health2018

Combining different diagnostic studies of lymphatic filariasis for risk mapping in Papua New Guinea: a predictive model from microfilaraemia and antigenaemia prevalence surveys.

Alvaro Berg Soto, Zhijing Xu, Peter Wood, Nelly Sanuku, Leanne J Robinson, Christopher L King, Daniel Tisch, Melinda Susapu, Patricia M Graves

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Article in Tropical medicine and health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Alvaro Berg Soto1Information Resources, James Cook University, Townsville, QLD 4811 Australia.ORCID 0000-0002-1056-6863
Zhijing Xu2Research School of Population Health, Australian National University, Canberra, ACT 2601 Australia.
Peter Wood3College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD 4870 Australia.
Nelly Sanuku4Vector Borne Diseases Unit, PNG Institute of Medical Research, Goroka, Papua New Guinea.
Leanne J Robinson4Vector Borne Diseases Unit, PNG Institute of Medical Research, Goroka, Papua New Guinea.
Christopher L King6School of Medicine and Veterans Affairs Administration, Case Western Reserve University, Cleveland, OH 44106 USA.
Daniel Tisch7Department of Population and Quantitative Health Science, Case Western Reserve University, Cleveland, OH 44106 USA.
Melinda SusapuMalaria and Vector Borne Diseases, Public Health, Department of Health, Port Moresby, Papua New Guinea.
Patricia M Graves3College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD 4870 Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Global Programme to Eliminate Lymphatic Filariasis has encouraged countries to follow a set of guidelines to help them assess the need for mass drug administration and evaluate its progress. Papua New Guinea (PNG) is one of the highest priority countries in the Western Pacific for lymphatic filariasis and the site of extensive research on lymphatic filariasis and surveys of its prevalence. However, different diagnostic tests have been used and thresholds for each test are unclear.

methodsWe reviewed the prevalence of lymphatic filariasis reported in 295 surveys conducted in PNG between 1990 and 2014, of which 65 used more than one test. Results from different diagnostics were standardised using a set of criteria that included a model to predict antigen prevalence from microfilariae prevalence. We mapped the point location of each of these surveys and categorised their standardised prevalence estimates.

resultsSeveral predictive models were produced and investigated, including the effect of any mass drug administration and number of rounds prior to the surveys. One model was chosen based on goodness of fit parameters and used to predict antigen prevalence for surveys that tested only for microfilariae. Standardised prevalence values show that 72% of all surveys reported a prevalence above 0.05. High prevalence was situated on the coastal north, south and island regions, while the central highland area of Papua New Guinea shows low levels of prevalence.

conclusionsOur study is the first to provide an explicit predictive relationship between the prevalence values based on empirical results from antigen and microfilaria tests, taking into account the occurrence of mass drug administration. This is a crucial step to combine studies to develop risk maps of lymphatic filariasis for programme planning and evaluation, as shown in the case of Papua New Guinea.

Indexed as

Diagnostic testsLymphatic filariasisPapua New GuineaPredictive modelPrevalenceRisk map

Identifiers

PMID30533996
PMCPMC6280391

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