Related Experiment Video
Updated: Feb 8, 2026

Microinjection Method for Anopheles gambiae Embryos
Published on: July 7, 2021
Mapping potential Anopheles gambiae s.l. larval distribution using remotely sensed climatic and environmental
J A Amadi1,2, G O Ong'amo3, D O Olago1
1Institute for Climate Change and Adaptation, University of Nairobi, Nairobi, Kenya.
Abstract:
Anopheles gambiae s.l. (Diptera: Culicidae) is responsible for the transmission of the devastating Plasmodium falciparum (Haemosporida: Plasmodiidae) strain of malaria in Africa. This study investigated the relationship between climate and environmental conditions and An. gambiae s.l. larvae abundance and modelled the larval distribution of this species in Baringo County, Kenya. Mosquito larvae were collected using a 350-mL dipper and a pipette once per month from December 2015 to December 2016. A random forest algorithm was used to generate vegetation cover classes. A negative binomial regression was used to model the association between remotely sensed climate (rainfall and temperature) and environmental (vegetation cover, vegetation health, topographic wetness and slope) factors and An. gambiae s.l. for December 2015. Anopheles gambiae s.l. was significantly more frequent in the riverine zone (P < 0.05, r = 0.59) compared with the lowland zone. Rainfall (b = 6.22, P < 0.001), slope (b = - 4.81, P = 0.012) and vegetation health (b = - 5.60, P = 0.038) significantly influenced the distribution of An. gambiae s.l. larvae. High An. gambiae s.l. abundance was associated with cropland and wetland environments. Effective malaria control will require zone-specific interventions such as a focused dry season vector control strategy in the riverine zone.
More Related Videos
Related Concept Videos
Global Climate Change
What is Climate?
The Sense of Self: Reflected Self-Appraisal and Social Comparison
Variation: Normal Distribution, Range, and Standard Deviation
Variability: Analysis
The range is a simple measure of variability, indicating the difference between the highest and...
Random Variables
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...

