https://github.com/PublicHealthDynamicsLab/FRED
Revision a45e04ad99c865724a3c2b1a2d3fd979b3c6be88 authored by John Grefenstette on 07 January 2016, 16:32:02 UTC, committed by John Grefenstette on 07 January 2016, 16:32:02 UTC
1 parent 9bc2dce
Tip revision: a45e04ad99c865724a3c2b1a2d3fd979b3c6be88 authored by John Grefenstette on 07 January 2016, 16:32:02 UTC
working markov epidemic model
working markov epidemic model
Tip revision: a45e04a
Markov_Model.h
/*
This file is part of the FRED system.
Copyright (c) 2010-2015, University of Pittsburgh, John Grefenstette,
Shawn Brown, Roni Rosenfield, Alona Fyshe, David Galloway, Nathan
Stone, Jay DePasse, Anuroop Sriram, and Donald Burke.
Licensed under the BSD 3-Clause license. See the file "LICENSE" for
more information.
*/
#ifndef _FRED_MARKOV_MODEL_H
#define _FRED_MARKOV_MODEL_H
#include <string>
#include <vector>
using namespace std;
class Markov_Model {
public:
Markov_Model();
~Markov_Model();
void setup(char* disease_name) {
strcpy(name, disease_name);
}
void get_parameters();
void print();
char* get_name() {
return this->name;
}
int get_number_of_states() {
return this->number_of_states;
}
std::string get_state_name(int i) {
return this->state_name[i];
}
int get_initial_state();
void get_next_state_and_time(int day, int old_state, int* new_state, int* transition_day);
protected:
char name[256];
int number_of_states;
std::vector<std::string>state_name;
private:
std::vector<double>state_initial_percent;
double ** transition_matrix;
int period_in_transition_probabilities;
};
#endif
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