TY - JOUR
T1 - Systematic Review
T2 - Land Cover, Meteorological, and Socioeconomic Determinants of Aedes Mosquito Habitat for Risk Mapping
AU - Sallam, Mohamed F
AU - Fizer, Chelsea
AU - Pilant, Andrew N
AU - Whung, Pai-Yei
PY - 2017/10/16
Y1 - 2017/10/16
N2 - Asian tiger and yellow fever mosquitoes (
Aedes albopictus and
Ae. aegypti) are global nuisances and are competent vectors for viruses such as Chikungunya (CHIKV), Dengue (DV), and Zika (ZIKV). This review aims to analyze available spatiotemporal distribution models of
Aedes mosquitoes and their influential factors. A combination of five sets of 3-5 keywords were used to retrieve all relevant published models. Five electronic search databases were used: PubMed, MEDLINE, EMBASE, Scopus, and Google Scholar through 17 May 2017. We generated a hierarchical decision tree for article selection. We identified 21 relevant published studies that highlight different combinations of methodologies, models and influential factors. Only a few studies adopted a comprehensive approach highlighting the interaction between environmental, socioeconomic, meteorological and topographic systems. The selected articles showed inconsistent findings in terms of number and type of influential factors affecting the distribution of
Aedes vectors, which is most likely attributed to: (i) limited availability of high-resolution data for physical variables, (ii) variation in sampling methods;
Aedes feeding and oviposition behavior; (iii) data collinearity and statistical distribution of observed data. This review highlights the need and sets the stage for a rigorous multi-system modeling approach to improve our knowledge about
Aedes presence/abundance within their flight range in response to the interaction between environmental, socioeconomic, and meteorological systems.
AB - Asian tiger and yellow fever mosquitoes (
Aedes albopictus and
Ae. aegypti) are global nuisances and are competent vectors for viruses such as Chikungunya (CHIKV), Dengue (DV), and Zika (ZIKV). This review aims to analyze available spatiotemporal distribution models of
Aedes mosquitoes and their influential factors. A combination of five sets of 3-5 keywords were used to retrieve all relevant published models. Five electronic search databases were used: PubMed, MEDLINE, EMBASE, Scopus, and Google Scholar through 17 May 2017. We generated a hierarchical decision tree for article selection. We identified 21 relevant published studies that highlight different combinations of methodologies, models and influential factors. Only a few studies adopted a comprehensive approach highlighting the interaction between environmental, socioeconomic, meteorological and topographic systems. The selected articles showed inconsistent findings in terms of number and type of influential factors affecting the distribution of
Aedes vectors, which is most likely attributed to: (i) limited availability of high-resolution data for physical variables, (ii) variation in sampling methods;
Aedes feeding and oviposition behavior; (iii) data collinearity and statistical distribution of observed data. This review highlights the need and sets the stage for a rigorous multi-system modeling approach to improve our knowledge about
Aedes presence/abundance within their flight range in response to the interaction between environmental, socioeconomic, and meteorological systems.
KW - Aedes
KW - Animals
KW - Ecosystem
KW - Humans
KW - Insect Vectors
KW - Meteorological Concepts
KW - Risk
KW - Socioeconomic Factors
KW - Virus Diseases/transmission
U2 - 10.3390/ijerph14101230
DO - 10.3390/ijerph14101230
M3 - Review article
C2 - 29035317
SN - 1661-7827
VL - 14
JO - International Journal of Environmental Research and Public Health
JF - International Journal of Environmental Research and Public Health
IS - 10
ER -