An operational machine learning approach to predict mosquito abundance based on socioeconomic and landscape patterns

[1] Adjei PO-W(2013)Linkages between income, housing quality and disease occurrence in rural Ghana J Hous Built Environ 28 35-49

[2] Kyei PO(1999)Socioeconomic status and health: what we know and what we don’t Ann N Y Acad Sci 896 3-15

[3] Adler NE(2015)Predictive spatial niche and biodiversity hotspot models for small mammal communities in Alaska: applying machine-learning to conservation planning Landscape Ecol 30 681-697

[4] Ostrove Joan M(2007)Spread of the tiger: global risk of invasion by the mosquito Vector Borne Zoonotic Dis 7 76-85

[5] Baltensperger AP(2012)A comparative gradient approach as a tool for understanding and managing urban ecosystems Urban Ecosyst 15 795-807

[6] Huettmann F(2014)Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change Popul Environ 36 48-72

[7] Benedict MQ(2011)Weather and landscape factors associated with adult mosquito abundance in southwestern Georgia, U.S.A J Vector Ecol 36 269-278

[8] Levine RS(2011)Climatic variability and landscape heterogeneity impact urban mosquito diversity and vector abundance and infection Ecosphere 2 70-497

[9] Hawley WA(2013)Estimating West Nile virus transmission period in pennsylvania using an optimized degree-day model Vector Borne Zoonotic Dis 13 489-15

[10] Lounibos LP(2015)The influence of diurnal temperature variation on degree-day accumulation and insect life history PLoS ONE 10 1-1623

[1] Adjei PO-W(2013)Linkages between income, housing quality and disease occurrence in rural Ghana J Hous Built Environ 28 35-49

[2] Kyei PO(1999)Socioeconomic status and health: what we know and what we don’t Ann N Y Acad Sci 896 3-15

[3] Adler NE(2015)Predictive spatial niche and biodiversity hotspot models for small mammal communities in Alaska: applying machine-learning to conservation planning Landscape Ecol 30 681-697

[4] Ostrove Joan M(2007)Spread of the tiger: global risk of invasion by the mosquito Vector Borne Zoonotic Dis 7 76-85

[5] Baltensperger AP(2012)A comparative gradient approach as a tool for understanding and managing urban ecosystems Urban Ecosyst 15 795-807

[6] Huettmann F(2014)Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change Popul Environ 36 48-72

[7] Benedict MQ(2011)Weather and landscape factors associated with adult mosquito abundance in southwestern Georgia, U.S.A J Vector Ecol 36 269-278

[8] Levine RS(2011)Climatic variability and landscape heterogeneity impact urban mosquito diversity and vector abundance and infection Ecosphere 2 70-497

[9] Hawley WA(2013)Estimating West Nile virus transmission period in pennsylvania using an optimized degree-day model Vector Borne Zoonotic Dis 13 489-15

[10] Lounibos LP(2015)The influence of diurnal temperature variation on degree-day accumulation and insect life history PLoS ONE 10 1-1623