2018
DOI: 10.1186/s12936-018-2478-z
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Analysis of clinical malaria disease patterns and trends in Vietnam 2009–2015

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… Show more

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Cited by 32 publications
(30 citation statements)
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“…Both species are endemic throughout Vietnam. Historically P. falciparum caused the majority of disease burden in Vietnam, however similar numbers of P. vivax and P. falciparum cases have been reported in recent years [8,9]. The majority of transmission events occur in the central highlands and along international borders where there has been substantial deforestation [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…Both species are endemic throughout Vietnam. Historically P. falciparum caused the majority of disease burden in Vietnam, however similar numbers of P. vivax and P. falciparum cases have been reported in recent years [8,9]. The majority of transmission events occur in the central highlands and along international borders where there has been substantial deforestation [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…Small-scale geographic variation in transmission becomes increasingly important in the elimination phase as malaria cases are confined to hard-to-reach populations, often in border areas, that could act as source of reintroduction into areas which have achieved elimination 11,12 . Therefore, the aims of this study were to quantify the spatial and temporal patterns of malaria and associations between malaria risk and climatic factors.…”
mentioning
confidence: 99%
“…The advantage of IDW is that it uses non-Euclidean "path distances" for d. These path distances are calculated using an algorithm that accounts for the malaria cases from one cell to the next [30]. Trend analysis were done similarly to the approach by [35]. The average monthly numbers of malaria cases per 1000 were calculated for the full time-series (January 2009-December 2015).…”
Section: Resultsmentioning
confidence: 99%
“…The parameter setting "periodic" was used for the seasonal extraction, and all other parameters were by default. In the study, logarithmic transformations were used for the time series data [35].…”
Section: Resultsmentioning
confidence: 99%