I've broken the data down by country for those countries with intense outbreaks.
Relative to the other countries, Guinea isn't in that bad of shape. I was able to project out until June 30, 2015 without the numbers getting astronomical.
Scouter Ebola Projection Model Version 2.0 - Ebola Case Projections
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Projection Parameters
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Country: Guinea
Run Date/Time: 09/19/2014 at 14:46:33
Model: DTR Model
Start Date: 8/1/2014
End Date: 9/14/2014
Reported cases represent 100% of the true epidemic size
New Cases per Day at End of Period: 14
Rate of Increase per Day: 1.52%
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Weekly for the Next 8 Weeks
Date Cases Deaths Daily New Cases Daily New Deaths
========== ==================== ==================== ==================== ====================
09/14/2014 942 467 14 7
09/21/2014 1,047 519 16 8
09/28/2014 1,164 577 17 9
10/05/2014 1,293 641 19 10
10/12/2014 1,437 713 22 11
10/19/2014 1,597 792 24 12
10/26/2014 1,775 880 27 13
11/02/2014 1,973 978 30 15
End of Month for the Next 2 Years from the End Date
Date Cases Deaths Daily New Cases Daily New Deaths
========== ==================== ==================== ==================== ====================
09/30/2014 1,199 595 18 9
10/31/2014 1,914 949 29 14
11/30/2014 3,010 1,492 45 22
12/31/2014 4,805 2,382 72 36
01/31/2015 7,671 3,803 115 57
02/28/2015 11,703 5,802 175 87
03/31/2015 18,683 9,262 280 139
04/30/2015 29,378 14,564 440 218
05/31/2015 46,897 23,249 702 348
06/30/2015 73,743 36,558 1,104 547
Liberia's got problems. The numbers get so astronomical so quickly that it only made sense to graph the projections out to the end of this year, although I provide the numbers until the end of February. The problem is that the Daily Transmission Rate (DTR) is currently 4.072%. Clearly that's unsustainable, but that's what it is. Something's gotta give soon there.
Scouter Ebola Projection Model Version 2.0 - Ebola Case Projections
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Projection Parameters
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Country: Liberia
Run Date/Time: 09/19/2014 at 14:38:12
Model: DTR Model
Start Date: 8/1/2014
End Date: 9/14/2014
Reported cases represent 100% of the true epidemic size
New Cases per Day at End of Period: 106
Rate of Increase per Day: 4.07%
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Weekly for the Next 8 Weeks
Date Cases Deaths Daily New Cases Daily New Deaths
========== ==================== ==================== ==================== ====================
09/14/2014 2,710 467 106 18
09/21/2014 3,584 618 140 24
09/28/2014 4,739 817 185 32
10/05/2014 6,266 1,080 245 42
10/12/2014 8,286 1,428 324 56
10/19/2014 10,957 1,888 429 74
10/26/2014 14,489 2,497 567 98
11/02/2014 19,159 3,302 750 129
End of Month for the Next 2 Years from the End Date
Date Cases Deaths Daily New Cases Daily New Deaths
========== ==================== ==================== ==================== ====================
09/30/2014 5,132 884 201 35
10/31/2014 17,689 3,048 692 119
11/30/2014 58,578 10,094 2,292 395
12/31/2014 201,887 34,790 7,900 1,361
01/31/2015 695,796 119,903 27,225 4,692
02/28/2015 2,127,411 366,606 83,242 14,345
Sierra Leone is worse than Guinea, but not as bad as Liberia. Still, it only mad sent to graph the projections out to the end of April. I provide the numbers, though, through June 30, 2015.
Scouter Ebola Projection Model Version 2.0 - Ebola Case Projections
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Projection Parameters
*********************************************************
Country: Sierra Leone
Run Date/Time: 09/19/2014 at 14:50:15
Model: DTR Model
Start Date: 8/1/2014
End Date: 9/14/2014
Reported cases represent 100% of the true epidemic size
New Cases per Day at End of Period: 36
Rate of Increase per Day: 2.19%
*********************************************************
Weekly for the Next 8 Weeks
Date Cases Deaths Daily New Cases Daily New Deaths
========== ==================== ==================== ==================== ====================
09/14/2014 1,673 467 36 10
09/21/2014 1,946 543 42 12
09/28/2014 2,265 632 48 14
10/05/2014 2,635 735 56 16
10/12/2014 3,065 856 66 18
10/19/2014 3,566 996 76 21
10/26/2014 4,149 1,158 89 25
11/02/2014 4,827 1,348 103 29
End of Month for the Next 2 Years from the End Date
Date Cases Deaths Daily New Cases Daily New Deaths
========== ==================== ==================== ==================== ====================
09/30/2014 2,365 660 51 14
10/31/2014 4,623 1,290 99 28
11/30/2014 8,845 2,469 189 53
12/31/2014 17,293 4,827 370 103
01/31/2015 33,809 9,437 723 202
02/28/2015 61,947 17,292 1,325 370
03/31/2015 121,110 33,807 2,591 723
04/30/2015 231,714 64,680 4,957 1,384
05/31/2015 453,017 126,455 9,692 2,705
06/30/2015 866,733 241,939 18,543 5,176
Nicely done! That’s good information on what we are likely to see, at least in the short term. In the long term, we may add countries to the list, which could be even worse than your numbers.