Analysis on better hygiene intervention

[billlyzhaoyh]

The table represents calculating the effective reduction in the cumulative number of cases in those four disease categories. The four experiments are all setting hygiene parameter in the control diet to 0.7 and vary the end of the control measure from 30 to 200. The functions to reproduce the results can be found at https://github.com/AIforGoodSimulator/compartmental-model/blob/master/Scripts/run_model_interventions.py with parts: for hygiene_effective in [0.7,0.8,0.9]: camp, population_frame, population, control_dict=intialise_control_dict(hygiene_value=hygiene_effective,hygiene_timing=[0,200]) run_simulation(camp, population_frame, population, control_dict)

The reduction in total hospitalisation needs days make sense but the negative number in critical person-days suggest that the demand in that category actually increased after implementing the control measures. This might be counter-intuitive. Does this make sense?

[nt409]

Probably because the epidemic lasts a longer time period... the key thing is the increase in the number of days. Number of people is quite limited by small capacity so I'd imagine duration is the bigger factor.

Don't think it's a bug but can try and replicate it if you send me some parameter values to run?

[billlyzhaoyh]

that makes sense but the decrease in hospitalisation person days would potentially lead to a decrease in critical person-days unless this effect is high disproportionate regarding age: young people are getting hospitalised less while old people are getting hospitalised a little more which lead to the increase of total critical number days.