Evidence map›Paper›PMID 40184425›Full record

ArticlePLoS neglected tropical diseases2025

Household costs associated with zoonotic Plasmodium knowlesi, P. falciparum, P. vivax and P. malariae infections in Sabah, Malaysia.

Patrick Abraham, Campbell McMullin, Timothy William, Giri S Rajahram, Jenarun Jelip, Roddy Teo, Chris Drakeley, Abdul Marsudi Manah, Nicholas M Anstey, Matthew J Grigg and 1 more

Abstract read
In one paragraph

Article 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

11 authors.

Patrick AbrahamMelbourne Health Economics, Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0003-1239-1363
Campbell McMullinMelbourne Health Economics, Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Timothy WilliamInfectious Disease Society-Menzies School of Health Research, Kota Kinabalu, Sabah, Malaysia.
Giri S RajahramInfectious Disease Society-Menzies School of Health Research, Kota Kinabalu, Sabah, Malaysia.
Jenarun JelipVector Borne Disease Sector, Ministry of Health Malaysia, Putrajaya, Malaysia.
Roddy TeoPublic Health Research Section, Sabah State Department of Health, Ministry of Health Malaysia, Kota Kinabalu, Sabah, Malaysia.
Chris DrakeleyLondon School of Hygiene & Tropical Medicine, London, United Kingdom.
Abdul Marsudi ManahVector Borne Unit, Sabah State Department of Health, Ministry of Health Malaysia, Kota Kinabalu, Sabah, Malaysia.
Nicholas M AnsteyGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.
Matthew J GriggGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.
Angela DevineMelbourne Health Economics, Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.

Funding

Emerging zoonotic malaria in Malaysia: strengthening surveillance and evaluating population genetic structure to improve regional risk prediction toolsR01AI160457 · NIAID · INFECTIOUS DISEASE SOCIETY KOTA KINABALU · PI RAJAHRAM, GIRI · 2021 to 2025
$674k
NIAID NIH HHS R01 AI160457
6 · The paper itself

Abstract

backgroundMalaysia has free universal access to malaria care; however, out-of-pocket costs are unknown. This study estimated and compared household costs of illness during a unique time when four species of malaria were present, due to the emergence of zoonotic Plasmodium knowlesi during the elimination phase of non-zoonotic species in Sabah, Malaysia. METHODOLOGY/PRINCIPAL

findingsHousehold costs were estimated from patient-level surveys collected from four hospitals between 2013 and 2016. Direct costs including medical and associated travel costs, and indirect costs due to lost productivity were included. One hundred and fifty-two malaria cases were enrolled: P. knowlesi (n=108), P. vivax (n=22), P. falciparum (n=16), and P. malariae (n=6). Costs were inflated to 2023 Malaysian Ringgits and reported in United States dollars (US$). Across all cases, the mean total costs were US$131 (SD=102), with productivity losses accounting for 58% of costs (US$76; SD=70). P. vivax had the highest mean total household cost at US$199 (SD=174), followed by P. knowlesi and P. falciparum at US$119 (SD=81 and SD=83, respectively), and P. malariae (US$99; SD=42). Most patients (80%) experienced direct health costs above 10% of monthly income, with 58 (38%) patients experiencing health spending over 25% of monthly income, consistent with catastrophic health expenditure. CONCLUSIONS/SIGNIFICANCE: Despite Malaysia's free health-system care for malaria, patients and families face other related medical, travel, and indirect costs. Household out-of-pocket costs were driven by productivity losses; primarily attributed to infections in working-aged males in rural agricultural-based occupations. Costs for P. vivax were higher than those of P. knowlesi and P. falciparum. This may be attributable to a younger age profile and the longer treatment required to clear the liver-stage parasites of P. vivax.

Indexed as

Cost of IllnessMalariaZoonosesAdolescentAdultAgedAnimalsChildChild, PreschoolFamily CharacteristicsFemaleHealth ExpendituresHumansMalaysiaMaleMiddle Aged

Identifiers

PMID40184425
PMCPMC11970689

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.