Co-led by TRAC Plus (Rwanda), KEMRI (Kenya) and UDUR (UK), WP3 will carry out field-based evaluations of data compiled as part of this WP, and of WPs 2 and 4, in order to clarify parameters/processes in existing dynamical disease models. These models – along with statistical multivariate regression models for infection rates of malaria, RVF and schistosomiasis, will be developed and deployed in WP3. Outputs from these models will be input to WP4 and used to produce disease risk maps for present day conditions and future scenarios of climate and socio-economical trends.
Ikiwa imeongozwa na TRAC Plus (Rwanda), KEMRI (Kenya) na UDUR (UK), WP3 inatarajiwa kufanya utafiti wa uwanjani kutathimini data iliyokusanywa kama mojawapo ya hii WP, na WP 2 na ya 4, ili kuwezesha kuelezea wazi vipengele viliopo katika mitindo ya magonjwa.Mitindo hii, ikiwa ni pamoja na vielelezo vya kihesabu kuhusu maambukizo ya magonjwa ya malaria, homa ya bonde la ufa na kichocho, itafanikishwa na kuenezwa katika WP3.Yatakayotokana na vielelezo hivi yatawekwa kwa WP4 na kutumiwa ili kubuni utaratibu utakaowezesha kugundua magonjwa yanayohatarisha kwa sasa na hali ya baadaye ya anga pamoja na mitindo ya kijamii na kiuchumi.