Malaria in central Vietnam: analysis of risk factors by multivariate analysis and classification tree models

Thang, Ngo Duc; Erhart, Annette; Speybroeck, Niko; Hưng, Lê Xuân; Thuan, Le Khanh; Hung, Cong Trinh; Ky, Pham Van; Coosemans, Marc; D’Alessandro, Umberto

doi:10.1186/1475-2875-7-28

Cited by 73 publications

(89 citation statements)

References 13 publications

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“…This increases the risk of malaria transmission due to displacement of the population employed in agriculture, plantations and mining. Individuals working in the forest are at risk of malaria, especially if staying in the forest at night, as found in studies conducted in Central Vietnam by Thanh et al (5) This is supported by the results of research conducted in Central Vietnam by Thang et al (6) stating that work in the forest and the home environment are risk factors for the incidence of malaria. Risk factors for malaria in Indonesia, among others, are the geography, gender, education and employment.…”

Section: Introductionsupporting

confidence: 75%

Incidence of malaria is clustered and buffers around plantations: a spatial analysis

Wibowo

Laksana

Mulyanto

et al. 2015

UnivMed

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BACKGROUNDMalaria is re-emerging because of imported cases and the presence of potential vectors that can transmit and spread malaria. Malaria is a health problem in Banyumas District. Mapping the spread of infectious diseases is epidemiologically important. The purpose of this study was to determine the relationship between the variables and the epidemiology of malaria that were spatially modeled using the geographic information system (GIS).

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Section: Introductionsupporting

confidence: 75%

Incidence of malaria is clustered and buffers around plantations: a spatial analysis

Wibowo

Laksana

Mulyanto

et al. 2015

UnivMed

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“…These models fail to rank the factors according to their importance in light of multiple interactions among the various predictor variables. 10 This ranking is an important tool for the establishment of a decision guide for control measures, as it helps to determine the priority foci of prevention/control methods. However, until now, these analyses have not been carried out for the determinants of T. solium infections.…”

Section: Introductionmentioning

confidence: 99%

“…The method was successfully applied in different parasitological contexts. [10][11][12][13] The CART analysis has been used as a decision support tool that could provide an important contribution toward the prevention and control of malaria by identifying the major risk factors. It was applied in studies in Vietnam and Africa to study and rank important risk factors associated with malaria and provided insights as to which factors to target in control programs.…”

Section: Introductionmentioning

confidence: 99%

Study and Ranking of Determinants of Taenia solium Infections by Classification Tree Models

Mwape

Phiri

Praet

et al. 2015

The American Society of Tropical Medicine and Hygiene

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Abstract. Taenia solium taeniasis/cysticercosis is an important public health problem occurring mainly in developing countries. This work aimed to study the determinants of human T. solium infections in the Eastern province of Zambia and rank them in order of importance. A household (HH)-level questionnaire was administered to 680 HHs from 53 villages in two rural districts and the taeniasis and cysticercosis status determined. A classification tree model (CART) was used to define the relative importance and interactions between different predictor variables in their effect on taeniasis and cysticercosis. The Katete study area had a significantly higher taeniasis and cysticercosis prevalence than the Petauke area. The CART analysis for Katete showed that the most important determinant for cysticercosis infections was the number of HH inhabitants (6 to 10) and for taeniasis was the number of HH inhabitants 6. The most important determinant in Petauke for cysticercosis was the age of head of household 32 years and for taeniasis it was age 55 years. The CART analysis showed that the most important determinant for both taeniasis and cysticercosis infections was the number of HH inhabitants (6 to 10) in Katete district and age in Petauke. The results suggest that control measures should target HHs with a high number of inhabitants and older individuals.

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“…A stream of studies points out that households in electrified areas can achieve a lower incidence of malaria; mass media such as radio and television represent an important vehicle to promote awareness and encourage non-risk behaviour (Thang et al, 2008;Tsuyuoka et al, 2010). The relationship between access to mass media and malaria is confirmed by a case study on the determinants of malaria morbidity in some provinces of Southern Iran.…”

Section: Exposurementioning

confidence: 79%

The Electrification–Malaria Nexus: The Case of Rural Uganda

Pellegrini

Tasciotti

2016

Eur J Dev Res

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Sub-Saharan countries are facing multiple simultaneous challenges that include both the need to increase access to electricity and to combat morbidity and mortality caused by malaria. This study is the first to explore the nexus between electrification and malaria incidence using a country-wide representative household level data. The focus is on rural Uganda. Despite the fact that data used in this analysis come from a multi topic survey and therefore do not include the ideal indicators for a malaria related study, we do find evidence that household members having access to electricity are more likely to experience malaria. Our interpretation is that electric light attracts malaria vectors and that lifestyle changes associated with outdoor lighting increase humans' exposure to the vectors. Our findings suggest that the electrification process in Uganda should be complemented by anti-malaria strategies.

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Malaria in central Vietnam: analysis of risk factors by multivariate analysis and classification tree models

Abstract: Background: In Central Vietnam, forest malaria remains difficult to control due to the complex interactions between human, vector and environmental factors.

Cited by 73 publications

References 13 publications

Incidence of malaria is clustered and buffers around plantations: a spatial analysis

Incidence of malaria is clustered and buffers around plantations: a spatial analysis

Study and Ranking of Determinants of Taenia solium Infections by Classification Tree Models

The Electrification–Malaria Nexus: The Case of Rural Uganda

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