Bayesian Variogram Modeling for an Isotropic Spatial Process

Ecker, Mark D.; Gelfand, Alan E.

doi:10.2307/1400508

Cited by 88 publications

(44 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We adopted an exponential correlation function, that is ∑ ij = σ 2 exp(-ρd ij ) where σ 2 is the spatial variance, ρ the parameter that models the rate of correlation decay, and d ij the distance between the locations i and j. Based on the above specification, the minimum distance for which the spatial correlation becomes less than 5% is calculated by 3/ρ (Ecker and Gelfand, 1997). The model parameters were estimated using Markov chain Monte Carlo (MCMC) simulation methods.…”

Section: Discussionmentioning

confidence: 99%

The spatial distribution of Anopheles gambiae sensu stricto and An. arabiensis (Diptera: Culicidae) in Mali

Sogoba

Vounatsou

Bagayoko³

et al. 2007

Geospat Health

View full text Add to dashboard Cite

Abstract.Variations in the biology and ecology and the high level of genetic polymorphism of malaria vectors in Africa highlight the value of mapping their spatial distribution to enhance successful implementation of integrated vector management. The objective of this study was to collate data on the relative frequencies of Anopheles gambiae s.s. and An. arabiensis mosquitoes in Mali, to assess their association with climate and environmental covariates, and to produce maps of their spatial distribution. Bayesian geostatistical logistic regression models were fitted to identify environmental determinants of the relative frequencies of An. gambiae s.s. and An. arabiensis species and to produce smooth maps of their geographical distribution. The frequency of An. arabiensis was positively associated with the normalized difference vegetation index, the soil water storage index, the maximum temperature and the distance to water bodies. It was negatively associated with the minimum temperature and rainfall. The predicted map suggests that, in West Africa, An. arabiensis is concentrated in the drier savannah areas, while An. gambiae s.s. prefers the southern savannah and land along the rivers, particularly the inner delta of Niger. Because the insecticide knockdown resistance (kdr) gene is reported only in An. gambiae s.s. in Mali, the maps provide valuable information for vector control. They may also be useful for planning future implementation of malaria control by genetically manipulated mosquitoes.

show abstract

Section: Discussionmentioning

confidence: 99%

The spatial distribution of Anopheles gambiae sensu stricto and An. arabiensis (Diptera: Culicidae) in Mali

Sogoba

Vounatsou

Bagayoko³

et al. 2007

Geospat Health

View full text Add to dashboard Cite

show abstract

“…, For the exponential correlation structure specified above, the minimum distance that correlation becomes less than 5% is given by 3/ . 16 Temporal correlation was introduced by assuming an autoregressive process AR (1) of order 1 on two-week-specific random effects v t ‫ס‬ 1, . .…”

Section: Sogoba and Othersmentioning

confidence: 99%

Spatial Analysis of Malaria Transmission Parameters in the Rice Cultivation Area of Office Du Niger, Mali

Sogoba

Vounatsou²,

Doumbia³

et al. 2007

The American Journal of Tropical Medicine and Hygiene

View full text Add to dashboard Cite

Abstract. The effects of rice growth environment on malaria transmission, taking into account spatial correlation, were assessed in the Office du Niger, Mali. Between April 1999 to January 2001, 8 quarterly entomologic surveys were conducted in 18 villages in 3 agricultural zones. Vector densities in sleeping houses were related to rice crop, rice development stages, vegetation abundance, water state, and seasons. They were high throughout the rice-growing seasons, increased as the rice crop developed, and decreased as vegetation became abundant. They also showed large spatial correlations (up to 30.6 km). The vectorial capacity exhibited both seasonal and village-to-village variation. Parity and the human blood index were weakly related to adult densities and showed low spatial correlations (up to 3.4 km), which suggested that small area variation in malaria transmission results mainly from variations in vector-human contact. Control strategies in rice cultivation areas should pay attention to this local variation.

show abstract

“…Also, r(f, d ij ) is a valid (positive de® nite) correlation function, d ij is the Euclidean distance between individual land parcels, f is a set of parameters controlling the strength of spatial correlation and w(s i ) is assumed to be independent of e i . See Ecker and Gelfand (1997) for a more detailed description of these geostatistical models.…”

Section: Monocentric-plattage Modelsmentioning

confidence: 99%

An Analysis of the Influence of Location in the Market for Undeveloped Urban Fringe Land

Isakson¹,

Ecker²

2001

Land Economics

Self Cite

View full text Add to dashboard Cite

show abstract

Bayesian Variogram Modeling for an Isotropic Spatial Process

Cited by 88 publications

References 35 publications

The spatial distribution of Anopheles gambiae sensu stricto and An. arabiensis (Diptera: Culicidae) in Mali

The spatial distribution of Anopheles gambiae sensu stricto and An. arabiensis (Diptera: Culicidae) in Mali

Spatial Analysis of Malaria Transmission Parameters in the Rice Cultivation Area of Office Du Niger, Mali

An Analysis of the Influence of Location in the Market for Undeveloped Urban Fringe Land

Contact Info

Product

Resources

About