Seasonal population density and daily survival of anopheline mosquitoes (Diptera: Culicidae) in a malaria endemic area, Republic of Korea

J Vector Ecol. 2005 Jun;30(1):33-40.

Abstract

Mosquito surveillance was conducted near the Korean Demilitarized Zone (Paju County, Gyeonggi Province) from April to October, 1999, where malaria cases were reported. Adult mosquito surveillance, using black light and CDC UV light traps, was conducted at five and two sites, respectively. Weekly larval collections were made at five rice paddies located adjacent to the adult collection sites. Anopheles sinensis was the most abundant mosquito of 11 species collected throughout the surveillance period in 1999, comprising 47 - 48% of the total number of mosquitoes collected at cow sheds and residence. At all five sites surveyed by CDC UV light traps, anophelines appeared early in the year (May 3) and were most abundant in the cow sheds followed by the hillside forest, residence, stream/river bank, and were least abundant in rice fields. The population density of the larvae and the adults of An. sinensis increased steadily in June and reached their peaks during the second week of July (mean 112 females/trap/night). The parity rates were higher in July and September, when populations were highest. The probabilities of daily survival of An. sinensis were 0.804 in June to 0.895 in July. Cross-correlation showed a significant relationship between the number of adult anopheline mosquitoes and the number of larvae collected on the previous day, the same day, and also three and seven days later, which may be useful for determining treatment thresholds.

MeSH terms

  • Animals
  • Anopheles / parasitology*
  • Anopheles / physiology*
  • Female
  • Humans
  • Insect Vectors / parasitology*
  • Insect Vectors / physiology*
  • Korea / epidemiology
  • Larva / growth & development
  • Malaria / epidemiology*
  • Malaria / transmission
  • Male
  • Mosquito Control
  • Population Density
  • Population Dynamics
  • Population Surveillance
  • Seasons
  • Species Specificity
  • Survival Analysis
  • Time Factors