Disentangling the Effect of Local and Global Spatial Variation on a Mosquito-Borne Infection in a Neotropical Heterogeneous Environment

Grillet, María Eugenia; Barrera, Roberto; Martinez, J; Berti, Jesús; Fortin, Marie‐Josée

doi:10.4269/ajtmh.2010.09-0040

Cited by 54 publications

(41 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Understanding the importance of these factors is particularly critical for endemic Hawaiian species that continue to undergo steep population declines and range restrictions as climate warms. Like human malaria, spatial patterns of avian malaria are driven by exogenous temperatures, altitude, rainfall, and suitable habitat for larval mosquitoes to complete their life cycle (Balls et al 2004, Pascual et al 2008, Grillet et al 2010, Grillet et al 2014. As a result avian malaria in Hawaii may provide a seminal model to understand the environmental and ecological drivers of human malaria and to evaluate alternative control strategies (Samuel et al 2011.…”

Section: Discussionmentioning

confidence: 99%

Avian malaria in Hawaiian forest birds: infection and population impacts across species and elevations

et al. 2015

View full text Add to dashboard Cite

Abstract. Wildlife diseases can present significant threats to ecological systems and biological diversity, as well as domestic animal and human health. However, determining the dynamics of wildlife diseases and understanding the impact on host populations is a significant challenge. In Hawai'i, there is ample circumstantial evidence that introduced avian malaria (Plasmodium relictum) has played an important role in the decline and extinction of many native forest birds. However, few studies have attempted to estimate disease transmission and mortality, survival, and individual species impacts in this distinctive ecosystem. We combined multi-state capture-recapture (longitudinal) models with cumulative age-prevalence (crosssectional) models to evaluate these patterns in Apapane, Hawai'i Amakihi, and Iiwi in low-, mid-, and high-elevation forests on the island of Hawai'i based on four longitudinal studies of 3-7 years in length. We found species-specific patterns of malaria prevalence, transmission, and mortality rates that varied among elevations, likely in response to ecological factors that drive mosquito abundance. Malaria infection was highest at low elevations, moderate at mid elevations, and limited in high-elevation forests. Infection rates were highest for Iiwi and Apapane, likely contributing to the absence of these species in low-elevation forests. Adult malaria fatality rates were highest for Iiwi, intermediate for Amakihi at mid and high elevations, and lower for Apapane; low-elevation Amakihi had the lowest malaria fatality, providing strong evidence of malaria tolerance in this low-elevation population. Our study indicates that hatch-year birds may have greater malaria infection and/or fatality rates than adults. Our study also found that mosquitoes prefer feeding on Amakihi rather than Apapane, but Apapane are likely a more important reservoir for malaria transmission to mosquitoes. Our approach, based on host abundance and infection rates, may be an effective alternative to mosquito blood meal analysis for determining vector-host contacts when mosquito densities are low and collection of blood-fed mosquitoes is impractical. Our study supports the hypothesis that avian malaria has been a primary factor influencing the elevational distribution and abundance of these three species, and likely limits other native Hawaiian species that are susceptible to malaria.

show abstract

Section: Discussionmentioning

confidence: 99%

Avian malaria in Hawaiian forest birds: infection and population impacts across species and elevations

et al. 2015

View full text Add to dashboard Cite

show abstract

“…5,6 Knowledge of the influence of habitat factors on larval production is critical for understanding the spatial and temporal distribution patterns of mosquito vector species and for planning and implementing appropriate larval control strategies. 7,8 Despite five decades of intensive control efforts, Brazil continues to report the greatest proportion of malaria cases in the Americas. 9,10 Within Brazil, the incidence of malaria is almost exclusively (99.8% of the total number of cases) restricted to the Amazon Region, where a number of combined factors favor disease transmission and impair the use of standard control procedures.…”

Section: Introductionmentioning

confidence: 99%

Ecological Suitability and Spatial Distribution of Five Anopheles Species in Amazonian Brazil

McKeon

Schlichting²,

Póvoa³

et al. 2013

The American Society of Tropical Medicine and Hygiene

View full text Add to dashboard Cite

show abstract

“…Moffett et al (2007) identified the growing population density as major factor in determining the malaria risk in Africa. Grillet et al (2010) ordinary least squares (OLS) regression models indicated that lower elevations, greater population density, and proximity to aquatic habitats cause disease persistence in northeastern Venezuela.…”

Section: Global Spatial Autocorrelation Analysismentioning

confidence: 99%

Spatio-temporal surveillance of water based infectious disease (malaria) in Rawalpindi, Pakistan using geostatistical modeling techniques

Ahmad

Aziz

Butt

et al. 2015

Environ Monit Assess

View full text Add to dashboard Cite

One of the features of medical geography that has made it so useful in health research is statistical spatial analysis, which enables the quantification and qualification of health events. The main objective of this research was to study the spatial distribution patterns of malaria in Rawalpindi district using spatial statistical techniques to identify the hot spots and the possible risk factor. Spatial statistical analyses were done in ArcGIS, and satellite images for land use classification were processed in ERDAS Imagine. Four hundred and fifty water samples were also collected from the study area to identify the presence or absence of any microbial contamination. The results of this study indicated that malaria incidence varied according to geographical location, with eco-climatic condition and showing significant positive spatial autocorrelation. Hotspots or location of clusters were identified using Getis-Ord Gi* statistic. Significant clustering of malaria incidence occurred in rural central part of the study area including Gujar Khan, Kaller Syedan, and some part of Kahuta and Rawalpindi Tehsil. Ordinary least square (OLS) regression analysis was conducted to analyze the relationship of risk factors with the disease cases. Relationship of different land cover with the disease cases indicated that malaria was more related with agriculture, low vegetation, and water class. Temporal variation of malaria cases showed significant positive association with the meteorological variables including average monthly rainfall and temperature. The results of the study further suggested that water supply and sewage system and solid waste collection system needs a serious attention to prevent any outbreak in the study area.

show abstract

Disentangling the Effect of Local and Global Spatial Variation on a Mosquito-Borne Infection in a Neotropical Heterogeneous Environment

Cited by 54 publications

References 35 publications

Avian malaria in Hawaiian forest birds: infection and population impacts across species and elevations

Avian malaria in Hawaiian forest birds: infection and population impacts across species and elevations

Ecological Suitability and Spatial Distribution of Five Anopheles Species in Amazonian Brazil

Spatio-temporal surveillance of water based infectious disease (malaria) in Rawalpindi, Pakistan using geostatistical modeling techniques

Contact Info

Product

Resources

About