Evidence map›Paper›PMID 30223843›Full record

ArticleMalaria journal2018

Analysis of clinical malaria disease patterns and trends in Vietnam 2009-2015.

Kinley Wangdi, Sara E Canavati, Thang Duc Ngo, Long Khanh Tran, Thu Minh Nguyen, Duong Thanh Tran, Nicholas J Martin, Archie C A Clements

Abstract read
In one paragraph

Article in Malaria journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. Pooled it
  3. Mapping residual malaria transmission in Vietnam.The Lancet regional health. Western Pacific · 2025
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  14. A Bayesian Spatio-Temporal Analysis of Malaria in the Greater Accra Region of Ghana from 2015 to 2019.International journal of environmental research and public health · 2021
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  17. Spatial and Temporal Patterns of Malaria in Phu Yen Province, Vietnam, from 2005 to 2016.The American journal of tropical medicine and hygiene · 2020
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  18. Article
  19. Modeling an association between malaria cases and climate variables for Keonjhar district of Odisha, India: a Bayesian approach.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2020
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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

8 authors.

Kinley WangdiDepartment of Global Health, Research School of Population Health, Australian National University, Canberra, Australia. kinley.wangdi@anu.edu.au.
Sara E CanavatiVysnova Partners, Inc, Bethesda, MD, USA.
Thang Duc NgoVysnova Partners, Inc, Bethesda, MD, USA.
Long Khanh TranVysnova Partners, Inc, Bethesda, MD, USA.
Thu Minh NguyenVysnova Partners, Inc, Bethesda, MD, USA.
Duong Thanh TranNational Institute of Malariology, Parasitology, and Entomology, Hanoi, Viet Nam.
Nicholas J MartinU.S. Naval Medical Research Unit No. 2, PSA Sembawang Deptford Rd, Building 7-4, 759657, Singapore, Singapore.
Archie C A ClementsDepartment of Global Health, Research School of Population Health, Australian National University, Canberra, Australia.

Funding

US Defense Health Program Combatting Antimicrobial Resistance Funds Work Unit D1423
6 · The paper itself

Abstract

backgroundViet Nam has made tremendous progress towards reducing mortality and morbidity associated with malaria in recent years. Despite the success in malaria control, there has been a recent increase in cases in some provinces. In order to understand the changing malaria dynamics in Viet Nam and measure progress towards elimination, the aim of this study was to describe and quantify spatial and temporal trends of malaria by species at district level across the country.

methodsMalaria case reports at the Viet Nam National Institute of Malariology, Parasitology, and Entomology were reviewed for the period of January 2009 to December 2015. The population of each district was obtained from the Population and Housing Census-2009. A multivariate (insecticide-treated mosquito nets [ITN], indoor residual spraying [IRS], maximum temperature), zero-inflated, Poisson regression model was developed with spatial and spatiotemporal random effects modelled using a conditional autoregressive prior structure, and with posterior parameters estimated using Bayesian Markov chain Monte Carlo simulation with Gibbs sampling. Covariates included in the models were coverage of intervention (ITN and IRS) and maximum temperature.

resultsThere was a total of 57,713 Plasmodium falciparum and 32,386 Plasmodium vivax cases during the study period. The ratio of P. falciparum to P. vivax decreased from 4.3 (81.0% P. falciparum; 11,121 cases) in 2009 to 0.8 (45.0% P. falciparum; 3325 cases) in 2015. Coverage of ITN was associated with decreased P. falciparum incidence, with a 1.1% (95% credible interval [CrI] 0.009%, 1.2%) decrease in incidence for 1% increase in the ITN coverage, but this was not the case for P. vivax, nor was it the case for IRS coverage. Maximum temperature was associated with increased incidence of both species, with a 4% (95% CrI 3.5%, 4.3%) and 1.6% (95% CrI 0.9%, 2.0%) increase in P. falciparum and P. vivax incidence for a temperature increase of 1 °C, respectively. Temporal trends of P. falciparum and P. vivax incidence were significantly higher than the national average in Central and Central-Southern districts.

conclusionInterventions (ITN distribution) and environmental factors (increased temperature) were associated with incidence of P. falciparum and P. vivax during the study period. The factors reviewed were not exhaustive, however the data suggest distribution of resources can be targeted to areas and times of increased malaria transmission. Additionally, changing distribution of the two predominant malaria species in Viet Nam will require different programmatic approaches for control and elimination.

Indexed as

HumansIncidenceMalaria, FalciparumMalaria, VivaxSpatio-Temporal AnalysisVietnamBayesianMalaria eliminationModellingSpatialViet Nam

Identifiers

PMID30223843
PMCPMC6142383

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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.