epymorph.data.pei
Data for the Pei 2018 flu model, copied from their data files. https://doi.org/10.1073/pnas.1708856115 We're including it to use as a canonical example: a self-contained simulation that can be run without loading external data except TIGER state geography, which is modest in size.
module-attribute
pei_scope = in_states(
states=["FL", "GA", "MD", "NC", "SC", "VA"], year=2015
)
module-attribute
pei_centroids = array(
[
(-81.5158, 27.6648),
(-82.9071, 32.1574),
(-76.6413, 39.0458),
(-79.0193, 35.7596),
(-81.1637, 33.8361),
(-78.6569, 37.4316),
],
dtype=CentroidDType,
)
module-attribute
module-attribute
pei_commuters = array(
[
[7993452, 13805, 2410, 2938, 1783, 3879],
[15066, 4091461, 966, 6057, 20318, 2147],
[949, 516, 2390255, 947, 91, 122688],
[3005, 5730, 1872, 4121984, 38081, 29487],
[1709, 23513, 630, 64872, 1890853, 1620],
[1368, 1175, 68542, 16869, 577, 3567788],
],
dtype=int64,
)
module-attribute
pei_humidity = array(
[
[
0.01003,
0.008144,
0.004738,
0.00681,
0.007467,
0.004909,
],
[
0.0105,
0.008211,
0.004495,
0.006562,
0.007302,
0.004716,
],
[
0.010631,
0.008169,
0.0053,
0.007162,
0.007736,
0.005407,
],
[
0.010797,
0.007956,
0.0054,
0.00712,
0.00776,
0.005611,
],
[
0.010727,
0.008105,
0.005233,
0.00726,
0.007819,
0.005504,
],
[
0.01009,
0.008425,
0.004814,
0.007089,
0.007881,
0.005119,
],
[
0.009815,
0.008386,
0.005,
0.007195,
0.007867,
0.00521,
],
[
0.010363,
0.007858,
0.004857,
0.006825,
0.007343,
0.00491,
],
[
0.010242,
0.007508,
0.0047,
0.006633,
0.007217,
0.00473,
],
[
0.009609,
0.007048,
0.004052,
0.006199,
0.006764,
0.004276,
],
[
0.009782,
0.00739,
0.00429,
0.006251,
0.006876,
0.004457,
],
[
0.009573,
0.007775,
0.004914,
0.00681,
0.007402,
0.005012,
],
[
0.009151,
0.008051,
0.005257,
0.00729,
0.007793,
0.005478,
],
[
0.009114,
0.007194,
0.004824,
0.006514,
0.007036,
0.004898,
],
[
0.009586,
0.00701,
0.004419,
0.006087,
0.006702,
0.004422,
],
[
0.009771,
0.006976,
0.004324,
0.006073,
0.006602,
0.004267,
],
[
0.009916,
0.007182,
0.003924,
0.005774,
0.006512,
0.00395,
],
[
0.00951,
0.007415,
0.004476,
0.006351,
0.006874,
0.004434,
],
[
0.009165,
0.007085,
0.003914,
0.005829,
0.006433,
0.004002,
],
[
0.009451,
0.006524,
0.003748,
0.005594,
0.006214,
0.003876,
],
[
0.00939,
0.007217,
0.003633,
0.005592,
0.006452,
0.003741,
],
[
0.009205,
0.00759,
0.00381,
0.005946,
0.006779,
0.004008,
],
[
0.008819,
0.007765,
0.004548,
0.006529,
0.007188,
0.00471,
],
[
0.009298,
0.007635,
0.004833,
0.006829,
0.007386,
0.004962,
],
[
0.010034,
0.006387,
0.004024,
0.005414,
0.005981,
0.003903,
],
[
0.009865,
0.006424,
0.003424,
0.004979,
0.005731,
0.003404,
],
[
0.009244,
0.006912,
0.003743,
0.005405,
0.006252,
0.00379,
],
[
0.009452,
0.007364,
0.004395,
0.006227,
0.006857,
0.004595,
],
[
0.009922,
0.008088,
0.003971,
0.006337,
0.007169,
0.00427,
],
[
0.010102,
0.008568,
0.004552,
0.006879,
0.00766,
0.004733,
],
[
0.00967,
0.00694,
0.003957,
0.005821,
0.006364,
0.00393,
],
[
0.009465,
0.00713,
0.004038,
0.005765,
0.006412,
0.004019,
],
[
0.009473,
0.007817,
0.00411,
0.006108,
0.0069,
0.004237,
],
[
0.009869,
0.007693,
0.004205,
0.006364,
0.006993,
0.004406,
],
[
0.009859,
0.007357,
0.004557,
0.006596,
0.007105,
0.0048,
],
[
0.009472,
0.006649,
0.003981,
0.005577,
0.00616,
0.004025,
],
[
0.00972,
0.007214,
0.003967,
0.005705,
0.006469,
0.004114,
],
[
0.009781,
0.007535,
0.004129,
0.006332,
0.006967,
0.0044,
],
[
0.008998,
0.006993,
0.003995,
0.005981,
0.006588,
0.004349,
],
[
0.008965,
0.007864,
0.0043,
0.00638,
0.007248,
0.004713,
],
[
0.009688,
0.008125,
0.0045,
0.006562,
0.00735,
0.004655,
],
[
0.009386,
0.008112,
0.004081,
0.006412,
0.007248,
0.004393,
],
[
0.009492,
0.007551,
0.003886,
0.006048,
0.006869,
0.004161,
],
[
0.009803,
0.007173,
0.003852,
0.00592,
0.006648,
0.004171,
],
[
0.009468,
0.007719,
0.004324,
0.006504,
0.007162,
0.004708,
],
[
0.00919,
0.00809,
0.004238,
0.0067,
0.007405,
0.00477,
],
[
0.009572,
0.008445,
0.004719,
0.007239,
0.007883,
0.005179,
],
[
0.010095,
0.008001,
0.004143,
0.006375,
0.007126,
0.004413,
],
[
0.01012,
0.00777,
0.0044,
0.00623,
0.006993,
0.004546,
],
[
0.010347,
0.007843,
0.00461,
0.0065,
0.007074,
0.004821,
],
[
0.010309,
0.008111,
0.004719,
0.006764,
0.007474,
0.005031,
],
[
0.010009,
0.008877,
0.00489,
0.007371,
0.008162,
0.005248,
],
[
0.010024,
0.009679,
0.005,
0.007724,
0.008545,
0.00542,
],
[
0.010101,
0.008848,
0.004862,
0.007165,
0.007981,
0.005105,
],
[
0.010214,
0.00791,
0.004452,
0.006431,
0.007071,
0.004664,
],
[
0.010278,
0.008018,
0.004086,
0.006123,
0.00694,
0.004479,
],
[
0.010087,
0.008654,
0.004448,
0.006748,
0.007605,
0.004894,
],
[
0.010355,
0.008181,
0.004571,
0.006644,
0.007498,
0.005017,
],
[
0.010427,
0.008333,
0.004762,
0.007206,
0.007821,
0.005261,
],
[
0.011015,
0.008748,
0.004338,
0.00699,
0.007924,
0.00494,
],
[
0.010848,
0.009258,
0.005414,
0.007926,
0.008529,
0.00593,
],
[
0.010208,
0.008746,
0.00509,
0.007583,
0.008217,
0.005597,
],
[
0.009757,
0.008039,
0.004595,
0.006887,
0.007631,
0.005057,
],
[
0.010093,
0.00801,
0.004838,
0.006923,
0.007574,
0.005283,
],
[
0.010081,
0.008942,
0.005186,
0.007589,
0.008407,
0.005759,
],
[
0.010327,
0.009295,
0.005267,
0.007867,
0.008633,
0.005875,
],
[
0.010199,
0.008657,
0.005767,
0.007563,
0.008121,
0.005987,
],
[
0.010143,
0.008652,
0.00511,
0.007189,
0.007998,
0.00551,
],
[
0.009692,
0.008573,
0.005038,
0.007301,
0.008052,
0.005444,
],
[
0.009769,
0.00821,
0.00491,
0.007044,
0.007712,
0.00533,
],
[
0.009577,
0.008525,
0.004795,
0.007027,
0.00786,
0.005278,
],
[
0.009547,
0.009267,
0.005524,
0.007917,
0.008676,
0.006165,
],
[
0.009643,
0.009277,
0.005695,
0.008032,
0.008738,
0.006319,
],
[
0.009895,
0.00928,
0.005729,
0.007868,
0.008574,
0.006176,
],
[
0.010718,
0.009733,
0.00549,
0.008096,
0.008912,
0.00613,
],
[
0.010884,
0.009432,
0.005295,
0.007907,
0.00864,
0.005974,
],
[
0.011186,
0.009346,
0.005052,
0.007533,
0.008398,
0.005693,
],
[
0.011291,
0.009375,
0.005414,
0.007588,
0.008374,
0.005939,
],
[
0.011956,
0.009446,
0.005329,
0.007596,
0.008531,
0.005845,
],
[
0.011348,
0.009345,
0.0056,
0.007965,
0.008719,
0.006239,
],
[
0.010864,
0.008571,
0.005567,
0.007408,
0.008069,
0.005916,
],
[
0.010934,
0.008793,
0.005129,
0.007307,
0.008095,
0.005749,
],
[
0.011081,
0.009018,
0.005414,
0.007615,
0.0084,
0.006056,
],
[
0.010876,
0.009925,
0.005381,
0.008106,
0.009105,
0.006285,
],
[
0.010844,
0.010088,
0.006033,
0.008535,
0.009357,
0.006739,
],
[
0.011068,
0.010262,
0.006343,
0.008819,
0.009569,
0.006995,
],
[
0.011229,
0.010521,
0.006876,
0.009365,
0.01,
0.007534,
],
[
0.011388,
0.010819,
0.006719,
0.009286,
0.010055,
0.007323,
],
[
0.0113,
0.010336,
0.006514,
0.008746,
0.009414,
0.006969,
],
[
0.011776,
0.010332,
0.006338,
0.008826,
0.00966,
0.007092,
],
[
0.011904,
0.01025,
0.007038,
0.009333,
0.009902,
0.007741,
],
[
0.01186,
0.009836,
0.006876,
0.008806,
0.009355,
0.007369,
],
[
0.011244,
0.009998,
0.006767,
0.008824,
0.009552,
0.007385,
],
[
0.010541,
0.010074,
0.006686,
0.008862,
0.009548,
0.007277,
],
[
0.010939,
0.009864,
0.005638,
0.008251,
0.009198,
0.006492,
],
[
0.011814,
0.010223,
0.006452,
0.008811,
0.009574,
0.00719,
],
[
0.011852,
0.010324,
0.007048,
0.009201,
0.009843,
0.007644,
],
[
0.01168,
0.010515,
0.00709,
0.00932,
0.010024,
0.007863,
],
[
0.011676,
0.010502,
0.007014,
0.009199,
0.009802,
0.007687,
],
[
0.012229,
0.01023,
0.006771,
0.009155,
0.009795,
0.007703,
],
[
0.012468,
0.010901,
0.006771,
0.009512,
0.010455,
0.00785,
],
[
0.011615,
0.011148,
0.007324,
0.009926,
0.010633,
0.008174,
],
[
0.011394,
0.01088,
0.007038,
0.009379,
0.010164,
0.007643,
],
[
0.01188,
0.01056,
0.006919,
0.009238,
0.010031,
0.007629,
],
[
0.01212,
0.011138,
0.007829,
0.010204,
0.01085,
0.008755,
],
[
0.012775,
0.010276,
0.008143,
0.010008,
0.010395,
0.008739,
],
[
0.012888,
0.010226,
0.007705,
0.009751,
0.010245,
0.008417,
],
[
0.012084,
0.010138,
0.007081,
0.009196,
0.00986,
0.00785,
],
[
0.011739,
0.010814,
0.007829,
0.009602,
0.010402,
0.00853,
],
[
0.010981,
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0.007981,
0.010546,
0.01119,
0.009008,
],
[
0.011076,
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0.008405,
0.011112,
0.011698,
0.009591,
],
[
0.011556,
0.011177,
0.008705,
0.010769,
0.011102,
0.00921,
],
[
0.012226,
0.011181,
0.008095,
0.009817,
0.01056,
0.008492,
],
[
0.012489,
0.01112,
0.007462,
0.009956,
0.01076,
0.008383,
],
[
0.012573,
0.011604,
0.007981,
0.010581,
0.011143,
0.009022,
],
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0.011219,
0.009469,
],
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0.011083,
0.008934,
],
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0.0109,
0.008645,
],
[
0.012835,
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0.009918,
0.01065,
0.008534,
],
[
0.013082,
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0.010499,
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0.009168,
],
[
0.013213,
0.012345,
0.008943,
0.011529,
0.012069,
0.009829,
],
[
0.012699,
0.012381,
0.0092,
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0.012226,
0.010143,
],
[
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0.012457,
0.009722,
],
[
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0.008467,
0.011207,
0.012029,
0.009374,
],
[
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],
[
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0.012352,
0.010051,
],
[
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0.008576,
0.011577,
0.01224,
0.009653,
],
[
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0.010309,
],
[
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0.01323,
0.009562,
0.011998,
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0.01065,
],
[
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],
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],
[
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[
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0.013064,
0.010161,
],
[
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0.010035,
],
[
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0.012952,
0.010241,
],
[
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0.012475,
0.013538,
0.011157,
],
[
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0.013529,
0.014329,
0.011998,
],
[
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0.014736,
0.012324,
],
[
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0.012063,
],
[
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0.011706,
],
[
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0.011665,
],
[
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0.011645,
],
[
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0.013974,
0.014869,
0.012527,
],
[
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0.012542,
],
[
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0.012759,
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[
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0.012768,
],
[
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[
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[
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0.010774,
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],
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0.010176,
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],
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0.009689,
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],
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0.009405,
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],
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0.010011,
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],
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0.010304,
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],
[
0.009848,
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],
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0.010184,
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],
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0.009652,
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],
],
dtype=float64,
)
module-attribute
pei_params = {
"centroid": pei_centroids,
"population": pei_population,
"commuters": pei_commuters,
"humidity": pei_humidity,
}