Table 4.

Summary of analyzed geographical areas, vectors, environmental factors and main findings of studies dealing with RVF, chikungunya, zika, WNV and LF.

	Geographical area	Disease (Vector)	Analyzed environmental factors	Affected by climate change	Changes in prevalence or incidence due to climate change	Expansion due to climate change	First author (year of publication)
	Main findings
	South and center	Dengue, chikungunya [Aedes aegypti, Aedes albopictus)	Net effect of climate change	Yes	Increases	Yes	25,
	Potential expansion of Aedes aegypti into Southern Africa, occurrence extended into Central Africa. Increased expansive potential than Aedes albopictus, which may also raise
	East (Tanzania]	RVF [Culex pipiens)	Average temperature variations, increased rainfall	Yes	Unknown	Yes	31,
	Rift valley fever expansion into zones close to Tanganyika, Malawi and Victoria lakes (Western, Southwestern and Northern Tanzania] in 2020 and 2050
	West (Senegal)	RVF [Aedes vexans, Culex poicilipes)	Average minimum and maximum temperature variations, increased rainfall	No	Increases	No	38,
	Decreases in minimum temperature promote the occurrence of Culex poicilipes. Aedes vexans shows a negative correlation with relative humidity and minimum and maximum temperatures. Proximity to water ponds increases risk of becoming a spot zone for both vectors
	West (Senegal]	RVF [Aedes vexans, Culex poicilipes)	Increased rainfall	No	Increases	No	11,
	Aedes vexans distribution density depends on total rainfall and pond dynamics
	East (Southern Sudan]	Zika [Aedes aegypti, Aedes albopictus, Aedes africanus)	Net effect of climate change	Yes	Increases	Yes	26,
	Possible occurrence of zika virus in Southern Sudan
	South (South Africa]	WNV [Culex univittatus)	Increased summer rainfall	Yes	Increases	No	43,
	Total summer rainfall, previous summer rainfall and interannual rainfall variations are related to infection rates
	Worldwidea	WNV, LF [Culex quinquefasciatus]	Net effect of climate change	Yes	Unknown	Yes	36,
	Ideal conditions in narrow zones of Northern Africa and Western Europe. Future transmission similar to current, including Central and Southern Africa. High uncertainty about Northern and Central Africa

^aPredictive models that analyze disease incidence at worldwide level.