To assess the salt tolerance of the malaria vector Anopheles farauti sensu stricto, larvae were collected from a freshwater environment on the outskirts of Honiara, Solomon Islands and placed in trays containing water with salinity varying from freshwater to seawater. Dead larvae and pupae and emerged adults were recorded and preserved. Most adults and nearly half of the larvae and pupae were then subjected to DNA analysis for species identification. No adult An. farauti emerged after prolonged immersion of larvae in undiluted seawater (3.5% salinity), although temporary immersion before pupation was compatible with survival. Salinities of up to 2.2% to 2.5% were compatible with good survival and adult emergence, at least from fourth instars. The results suggest that higher salinities may slow larval development and show that mortality at a given salinity is not uniform.
Animals ; Anopheles - drug effects ; Anopheles - growth & ; development ; Colony Count, Microbial ; Sensitivity and Specificity

To investigate the population densities of potential malaria vectors, Anopheles species were collected by light traps in malaria endemic areas, Paju and Gimpo, Gyeonggi-do of Korea. Five Anopheles Hyrcanus sibling species (An. sinensis, An. pullus, An. lesteri, An. kleini, and An. belenrae) were identified by PCR. The predominant species, An. pullus was collected during the late spring and mid-summer, while higher population consists of An. sinensis were collected from late summer to early autumn. These 2 species accounted for 92.1% of all Anopheles mosquitoes collected, while the other 3 species accounted for 7.9%. Taking into account of these population densities, late seasonal prevalence, and long-term incubation period (9-13 months) of the Korean Plasmodium vivax strain, An. sinensis s.s is thought to play an important role in the transmission of vivax malaria in the study areas.
Animals ; Anopheles/*classification/genetics/*growth & development ; Humans ; Malaria, Vivax/transmission ; Polymerase Chain Reaction/methods ; Population Dynamics ; Republic of Korea ; Seasons

OBJECTIVETo study the relationship of remote sensing normalized differential vegetation index (NDVI) to Anopheles density and malaria incidence rate.

METHODSData of monthly average climate, environment, Anopheles density and malaria incidence rate, and remote sensing NDVI were collected from 27 townships of 10 counties in southeastern Yunnan Province from 1984 to 1993. The relationship of remote sensing ecological proxy index, NDVI, to Anopheles density and malaria incidence rate was studied by principal component analysis, factor analysis and grey correlation analysis.

RESULTSThe correlation matrix showed that NDVI highly correlated with Anopheles density in 4 townships of Mengla, Jinghong, and Yuanjiang counties, but in other 23 townships the relationship was not clear. Principal component and factor analyses showed that remote sensing NDVI was the representative index of the first principal component and the first common factor of Anopheles density evaluation. Grey correlation analysis showed that in rainy season NDVI had a high grey correlation with Anopheles density and malaria incidence rate. The grey correlation analysis showed that in rainy season the grey degree of NDVI correlated with Anopheles. Minimus density was 0.730, and 0.713 with Anopheles sinensis density, and 0.800 with malarial incidence rate.

CONCLUSIONRemote sensing NDVI can serve as a sensitive evaluation index of Anopheles density and malaria incidence rate.

Animals ; Anopheles ; growth & development ; China ; epidemiology ; Ecosystem ; Environmental Monitoring ; Epidemiological Monitoring ; Humans ; Incidence ; Malaria ; epidemiology ; Plant Development ; Principal Component Analysis ; Rain ; Satellite Communications ; Seasons

OBJECTIVETo explore the relationship between malaria epidemics and NOAA-AVHRR NDVI.

METHODSData on malaria were collected in all 19 counties in Hainan province from Feb, 1995 to Jan, 1996. Values regarding normalized difference vegetation index (NDVI)-related indicators including mean and maximum values of NDVI, the area proportion of NDVI values of 145- and 145+, months with NDVI values of 135+, 140+, 145+, 150+ of these counties in this period were all extracted from NOAA-AVHRR images, using ERDAS8.5 software. The coefficients of correlation of malaria incidences and these NDVI-related indicator values were then calculated with SPSS 11.0.

RESULTSThe incidence of malaria showed positive correlations to mean and maximum values of NDVI, the area proportion of NDVI values of 145+ and months with NDVI values of 135+, 140+, 145+, 150+ respectively, but having negative correlation to the area of NDVI values of 145-. The malaria epidemic regions were in accordance with those regions that the NDVI values of 145+ were continuing for 9 months or more.

CONCLUSIONMalaria prevalence was associated with NOAA-AVHRR NDVI value which could be considered to be use for malaria surveillance in Hainan province.

Animals ; Anopheles ; growth & development ; China ; epidemiology ; Climate ; Ecology ; Ecosystem ; Environmental Monitoring ; Epidemiological Monitoring ; Humans ; Incidence ; Malaria ; epidemiology ; Plant Development ; Satellite Communications ; Seasons