Contents

■xiii

8.2.2

Winnipeg, Canada [4]

162

8.3

FLIGHT DISTANCES, PATTERNS AND TIMES OF VARIED MOSQUITOS

AND DISEASE AGENTS

162

8.4

CREATION OF DISTRICTS

163

8.5

ANALYSIS AND CONCLUSIONS

165

Section V

Chemometric and Mathematical Approach for Modeling and

Designing Mosquito Repellents

Chapter

9 ^■A Multiplatform Chemometric Approach to Modeling of

Mosquito Repellents

171

Milica Ž. Karadˇzi´c Banjac*, Strahinja Z. Kovaˇcevi´c , and Sanja O.

Podunavac-Kuzmanovi´c

9.1

INTRODUCTION

172

9.2

REPELLING COMPOUNDS IN THE SPOTLIGHT

173

9.3

THE IMPORTANCE OF CHEMOMETRIC MODELING IN DESIGN,

CLASSIFICATION AND SELECTION OF REPELLING COMPOUNDS

176

9.3.1

QSAR platform for modeling of repellent activity

176

9.3.2

Linear chemometric regression modeling of repellence index

176

9.3.3

Non-linear chemometric regression modeling of repellence index 178

9.3.4

Mathematical validation of QSAR models

180

9.3.5

Chemometric classification methods as a platform for repellents

selection

181

9.3.5.1

Cluster analysis

181

9.3.5.2

Principal component analysis

182

9.3.5.3

Sum of ranking differences

183

9.4

CONCLUDING REMARKS AND FURTHER RESEARCH

185

Section VI Pharmacy Meets Mosquito Control: Using Pharmacological

Tools Combating Mosquito Transmitted VBDs

Chapter 10 ^■Pharmacological Approach to Combat Mosquito Transmitted

Malaria

189

Kamunkhwala Gausi, Sveinbjorn Gizurarson*, Baxter Hepburn Kachingwe, Ellen

Kalesi Gondwe Mhango, Precious Ngwalero Katundu , and Peter E. Olumese

10.1

INTRODUCTION

190

10.2

PHARMACOLOGICAL TREATMENT OF MALARIA

191

10.3

RESISTANCE TO ANTIMALARIAL TREATMENT, A GLOBAL

THREAT

192

10.4

CLINICAL PHARMACOKINETICS OF ANTIMALARIAL DRUGS

194