Hotspots de la Transmisión de Dengue



Dr. Felipe Dzul Manzanilla

Dr. Fabián Correa-Morales


Date: 2024-01-26

Update: 2024-01-26


Temario


  • Ciclo del vida del programa de Dengue
  • Línea de Tiempo de la Vigilancia Epidemiológica & Entomológica
  • Flujograma del Análisis Espacial del Dengue en R
  • Algoritmo de los Hotspots de la Transmisión del Dengue
  • Estadísdico Espacial Local \(\color{#2ECC40}G_{\color{#2ECC40}i}^{\color{#2ECC40}*}\).
  • Calculo del Estadísdico Espacial Local \(\color{#2ECC40}G_{\color{#2ECC40}i}^{\color{#2ECC40}*}\)

Ciclo del Vida del Programa del Dengue


Linea de Tiempo de la Vigilancia Epidemiológica & Entomológica


Fllujograma del Análisis Espacial de la Transmisión del Dengue


Hotspots de la Transmisión del Dengue


  1. Bajar las bases de datos del SINAVE.
  2. Geocodificar las bases.
  3. Bajar los shapefile del INEGI.
  4. Seleccionar la localidad de interes y extraer los AGEBs.
  5. Contar el número de casos por AGEB.
  6. Cálcular el Z-score de los casos.
  7. Generar la matriz de adjacencias.
  8. Cálcular el estadístico espacial local Getis&Ord \(\color{#2ECC40}G_{\color{#2ECC40}i}^{\color{#2ECC40}*}\).
  9. Realizar la la corrección de Bonferroni.
  10. Cálcular los hotspots.
  11. Visualizar los hotspots.

Estadístico Espacial Local \(\color{#2ECC40}G_{\color{#2ECC40}i}^{\color{#2ECC40}*}\) (Hotspots)


\[\color{#2ECC40}G_{\color{#2ECC40}i}^{\color{#2ECC40}*} = \frac{\color{#FF4136}\sum_{\color{#FF4136}j \color{#FF4136}= \color{#FF4136}1}^\color{#FF4136}{n} \color{#FF4136}w_{\color{#FF4136}i\color{#FF4136}j}\color{#FF4136}x_{\color{#FF4136}j}} {\color{#0074D9}\sum_{\color{#0074D 9}j \color{#0074D9}= \color{#0074D9}1}^{\color{#0074D9}n} \color{#0074D9}x_{\color{#0074D9}j}}\]

donde:

\(\color{#FF4136}\sum_{\color{#FF4136}j \color{#FF4136}= \color{#FF4136}1}^\color{#FF4136}{n} \color{#FF4136}w_{\color{#FF4136}i\color{#FF4136}j}\color{#FF4136}x_{\color{#FF4136}j}\) el numerador, es la suma de los valores \(x_{i}\) de la unidad espacial de interes con sus vecinos \(x_{j}\) & \(\frac{}{\color{#0074D9}\sum_{\color{#0074D9}j \color{#0074D9}= \color{#0074D9}1}^{\color{#0074D9}n} \color{#0074D9}x_{\color{#0074D9}j}}\) el denominador, es la suma de todos los valores \(x\) en toda la localidad de interes.

Hotspots son las áreas o las unidades espaciales con valores altos de \(\color{#2ECC40}G_{\color{#2ECC40}i}^{\color{#2ECC40}*}\) y homogéneos de la unidad espaciales de interes \(x_{ij}\). En otras palabras el estadístico espacial, identifica las unidades espaciales \(x_{ij}\) con valores altos comparados con el valor promedio de todas la unidades espaciales en la localidad de interes.

Cálculo del estadístico Espacial Local \(\color{#2ECC40}G_{\color{#2ECC40}i}^{\color{#2ECC40}*}\)


Cálculo del estadístico Espacial Local \(\color{#2ECC40}G_{\color{#2ECC40}i}^{\color{#2ECC40}*}\)


\[\color{#2ECC40}G_{\color{#2ECC40}i}^{\color{#2ECC40}*} = \frac{\color{#FF4136}\sum_{\color{#FF4136}j \color{#FF4136}= \color{#FF4136}1}^\color{#FF4136}{n} \color{#FF4136}w_{\color{#FF4136}i\color{#FF4136}j}\color{#FF4136}x_{\color{#FF4136}j}} {\color{#0074D9}\sum_{\color{#0074D 9}j \color{#0074D9}= \color{#0074D9}1}^{\color{#0074D9}n} \color{#0074D9}x_{\color{#0074D9}j}}\]

donde:

\(\color{#FF4136}\sum_{\color{#FF4136}j \color{#FF4136}= \color{#FF4136}1}^\color{#FF4136}{n} \color{#FF4136}w_{\color{#FF4136}i\color{#FF4136}j}\color{#FF4136}x_{\color{#FF4136}j}\) el numerador, es la suma de los valores \(x_{i}\) de la unidad espacial de interes con sus vecinos \(x_{j}\) & \(\frac{}{\color{#0074D9}\sum_{\color{#0074D9}j \color{#0074D9}= \color{#0074D9}1}^{\color{#0074D9}n} \color{#0074D9}x_{\color{#0074D9}j}}\) el denominador, es la suma de los valores \(x\) en toda la localidad de interes.

Spatial Weight Matrix \(\color{#FF4136}w_{\color{#FF4136}i\color{#FF4136}j}\)

248 249 250 251 252 253 254 255
248 0 1 1 0 0 0 0 0
249 1 0 1 1 0 1 1 0
250 1 1 0 0 0 0 1 0
251 0 1 0 0 0 1 0 0
252 0 0 0 0 0 1 1 0
253 0 1 0 1 1 0 1 0
254 0 1 1 0 1 1 0 1
255 0 0 0 0 0 0 1 0

Casos por cada unidad espacial \(\color{#FF4136}x_{\color{#FF4136}i}\)

248 249 250 251 252 253 254 255
casos 17 1 1 5 148 37 0 0

Cálculo del estadístico Espacial Local \(\color{#2ECC40}G_{\color{#2ECC40}i}^{\color{#2ECC40}*}\)


\[\color{#2ECC40}{G_{248}^{*}}= \frac{\color{#FF4136}\sum_{\color{#FF4136}j \color{#FF4136}= \color{#FF4136}1}^\color{#FF4136}{n} \color{#FF4136}w_{\color{#FF4136}i\color{#FF4136}j}\color{#FF4136}x_{\color{#FF4136}j}} {\color{#0074D9}\sum_{\color{#0074D9}j \color{#0074D9}= \color{#0074D9}1}^{\color{#0074D9}n} \color{#0074D9}x_{\color{#0074D9}j}} = \frac{\color{#FF4136}{17 +1+ 1 + 0 + 0 +0 +0 +0 +0}}{\color{#0074D9}{17 + 1 + 1 + 5 + 148 +37 + 0 + 0}} = \frac{\color{#FF4136}{9}}{\color{#0074D9}{209}}= \color{#2ECC40}{0.0430622}\]

\[ \color{#2ECC40}{G_{249}^{*}} = \frac{\color{#FF4136}\sum_{\color{#FF4136}j \color{#FF4136}= \color{#FF4136}1}^\color{#FF4136}{n} \color{#FF4136}w_{\color{#FF4136}i\color{#FF4136}j}\color{#FF4136}x_{\color{#FF4136}j}} {\color{#0074D9}\sum_{\color{#0074D9}j \color{#0074D9}= \color{#0074D9}1}^{\color{#0074D9}n} \color{#0074D9}x_{\color{#0074D9}j}} = \frac{\color{#FF4136}{17 + 1 + 1 + 5 + 0 + 37 + 0+ 0}}{\color{#0074D9}{17 + 1 + 1 + 5 + 148 +37 + 0 + 0}} = \frac{\color{#FF4136}{61}}{\color{#0074D9}{209}} =\color{#2ECC40}{0.291866}\]

\[\color{#2ECC40}{G_{250}^{*}} = \frac{\color{#FF4136}\sum_{\color{#FF4136}j \color{#FF4136}= \color{#FF4136}1}^\color{#FF4136}{n} \color{#FF4136}w_{\color{#FF4136}i\color{#FF4136}j}\color{#FF4136}x_{\color{#FF4136}j}} {\color{#0074D9}\sum_{\color{#0074D9}j \color{#0074D9}= \color{#0074D9}1}^{\color{#0074D9}n} \color{#0074D9}x_{\color{#0074D9}j}} = \frac{\color{#FF4136}{17 + 1 + 1 + 0 +0 + 0 + 0 + 0}}{\color{#0074D9}{17 + 1 + 1 + 5 + 148 +37 + 0 + 0}} = \frac{\color{#FF4136}{19}}{\color{#0074D9}{209}} =\color{#2ECC40}{0.09090909}\]

\[\color{#2ECC40}{G_{251}^{*}} = \frac{\color{#FF4136}\sum_{\color{#FF4136}j \color{#FF4136}= \color{#FF4136}1}^\color{#FF4136}{n} \color{#FF4136}w_{\color{#FF4136}i\color{#FF4136}j}\color{#FF4136}x_{\color{#FF4136}j}} {\color{#0074D9}\sum_{\color{#0074D9}j \color{#0074D9}= \color{#0074D9}1}^{\color{#0074D9}n} \color{#0074D9}x_{\color{#0074D9}j}} = \frac{\color{#FF4136}{0 + 1 +0 + 5 + 0 + 37 + 0 + 0 }}{\color{#0074D9}{17 + 1 + 1 + 5 + 148 +37 + 0 + 0}} = \frac{\color{#FF4136}{43}}{\color{#0074D9}{209}} =\color{#2ECC40}{0.2057416}\]

Cálculo del estadístico Espacial Local \(\color{#2ECC40}G_{\color{#2ECC40}i}^{\color{#2ECC40}*}\)


\[\color{#2ECC40}{G_{252}^{*}} = \frac{\color{#FF4136}\sum_{\color{#FF4136}j \color{#FF4136}= \color{#FF4136}1}^\color{#FF4136}{n} \color{#FF4136}w_{\color{#FF4136}i\color{#FF4136}j}\color{#FF4136}x_{\color{#FF4136}j}} {\color{#0074D9}\sum_{\color{#0074D9}j \color{#0074D9}= \color{#0074D9}1}^{\color{#0074D9}n} \color{#0074D9}x_{\color{#0074D9}j}} = \frac{\color{#FF4136}{0 + 0 + 0 + 0 + 148 + 37 + 0 + 0}}{\color{#0074D9}{17 + 1 + 1 + 5 + 148 +37 + 0 + 0}} = \frac{\color{#FF4136}{185}}{\color{#0074D9}{209}} =\color{#2ECC40}{0.8851675}\]

\[\color{#2ECC40}{G_{253}^{*}} = \frac{\color{#FF4136}\sum_{\color{#FF4136}j \color{#FF4136}= \color{#FF4136}1}^\color{#FF4136}{n} \color{#FF4136}w_{\color{#FF4136}i\color{#FF4136}j}\color{#FF4136}x_{\color{#FF4136}j}} {\color{#0074D9}\sum_{\color{#0074D9}j \color{#0074D9}= \color{#0074D9}1}^{\color{#0074D9}n} \color{#0074D9}x_{\color{#0074D9}j}} = \frac{\color{#FF4136}{0 + 1 + 0 + 5 + 148 + 37 + 0 + 0}}{\color{#0074D9}{17 + 1 + 1 + 5 + 148 +37 + 0 + 0}} = \frac{\color{#FF4136}{191}}{\color{#0074D9}{209}} =\color{#2ECC40}{0.095072181}\]

\[\color{#2ECC40}{G_{254}^{*}} = \frac{\color{#FF4136}\sum_{\color{#FF4136}j \color{#FF4136}= \color{#FF4136}1}^\color{#FF4136}{n} \color{#FF4136}w_{\color{#FF4136}i\color{#FF4136}j}\color{#FF4136}x_{\color{#FF4136}j}} {\color{#0074D9}\sum_{\color{#0074D9}j \color{#0074D9}= \color{#0074D9}1}^{\color{#0074D9}n} \color{#0074D9}x_{\color{#0074D9}j}} = \frac{\color{#FF4136}{0 + 1 + 1 + 148 + 0 + 37 + 0 + 0 }}{\color{#0074D9}{17 + 1 + 1 + 5 + 148 +37 + 0 + 0}} = \frac{\color{#FF4136}{187}}{\color{#0074D9}{209}} =\color{#2ECC40}{0.8947368}\]

\[\color{#2ECC40}{G_{255}^{*}} = \frac{\color{#FF4136}\sum_{\color{#FF4136}j \color{#FF4136}= \color{#FF4136}1}^\color{#FF4136}{n} \color{#FF4136}w_{\color{#FF4136}i\color{#FF4136}j}\color{#FF4136}x_{\color{#FF4136}j}} {\color{#0074D9}\sum_{\color{#0074D9}j \color{#0074D9}= \color{#0074D9}1}^{\color{#0074D9}n} \color{#0074D9}x_{\color{#0074D9}j}} = \frac{\color{#FF4136}{0 + 0 + 0 + 0 + 0 + 0 + 0 + 0}}{\color{#0074D9}{17 + 1 + 1 + 5 + 148 +37 + 0 + 0}} = \frac{\color{#FF4136}{0}}{\color{#0074D9}{209}} =\color{#2ECC40}{0.0000000}\]

Cálculo del estadístico Espacial Local \(\color{#2ECC40}G_{\color{#2ECC40}i}^{\color{#2ECC40}*}\)


n wx gi gi_z
248 17 2 0.010 -0.970
249 1 61 0.292 -0.289
250 1 19 0.091 -0.774
251 5 43 0.206 -0.497
252 148 185 0.885 1.143
253 37 191 0.914 1.213
254 0 187 0.895 1.167
255 0 0 0.000 -0.994

Corrección de Bonferroni:

\(1-\alpha = (1-\alpha)^{n}\)

\(n = 8\)

\(alpha = c(.95, 0.99)\)

[1] 2.4977 3.0233

Distribución de Casos por AGEB


Casos por AGEB


2008 2009 2010 2011 2012 2014 2015 2013 2016 2017 2018 2019 2020 2021 2022 2023
3395 1 4 3 0 2 0 0 0 4 0 0 1 0 0 0 0
3396 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0
3397 2 5 2 0 3 4 0 1 0 0 0 1 2 0 1 0
3398 1 7 1 0 0 0 0 0 4 0 0 0 0 0 0 1
3399 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0
3400 0 1 1 0 0 1 0 0 2 0 0 1 0 0 0 0
3401 7 12 7 0 4 3 0 5 2 0 0 0 0 0 0 1
3402 4 5 1 0 4 2 0 0 4 0 0 0 0 0 0 0
3403 1 4 3 1 1 0 0 2 0 0 0 1 0 0 0 1
3404 2 10 5 2 2 1 0 2 2 0 0 2 0 0 2 0
3405 3 5 4 1 3 1 0 1 2 0 0 0 0 1 1 1
3406 3 2 0 1 1 0 1 0 8 0 0 0 0 0 1 0
3407 0 3 2 0 0 0 1 1 2 0 0 0 0 0 0 1
3408 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3409 1 3 2 0 0 1 0 0 0 0 0 0 1 1 1 0
3410 0 2 0 0 0 0 0 2 0 0 0 1 1 0 0 0
3411 0 1 0 1 2 0 0 0 0 0 0 1 0 0 0 0
3412 0 4 3 0 0 1 0 1 0 0 0 0 0 0 0 0
3413 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3414 1 11 1 0 3 0 0 3 0 0 0 0 0 0 0 0
3415 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3416 3 7 1 0 0 1 0 0 0 0 0 0 0 0 0 0
3417 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3418 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3419 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3420 2 9 2 0 4 1 0 2 2 2 0 0 1 0 0 1
3421 1 1 0 0 0 0 2 0 0 0 0 1 0 0 2 0
3422 0 6 1 0 1 1 1 1 2 0 1 0 1 0 0 2
3423 1 4 3 1 2 1 2 0 2 0 0 0 0 0 0 0
3424 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1
3425 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3426 0 1 1 0 2 1 0 0 2 0 0 0 0 0 0 0
3427 1 1 3 0 2 0 0 0 0 0 0 1 0 0 0 0
3428 0 10 7 0 0 1 0 1 4 0 0 1 0 1 4 0
3429 2 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0
3430 0 5 0 0 0 0 0 1 0 0 0 2 0 0 0 0
3431 1 3 0 0 1 0 0 3 2 0 0 1 0 0 0 1
3432 0 7 2 0 5 0 1 0 2 0 0 1 1 0 0 0
3433 1 4 3 1 4 0 1 5 2 0 0 0 0 2 0 0
3434 1 3 0 0 7 2 1 3 4 0 0 0 0 0 1 0
3435 3 5 3 0 4 2 1 1 0 0 0 0 3 1 2 0
3436 4 15 3 0 5 2 3 1 4 0 0 0 1 0 0 0
3437 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3438 0 3 0 0 1 0 1 2 8 0 0 0 2 0 1 0
3439 2 2 2 0 3 1 0 0 0 0 0 0 0 0 0 0
3440 1 5 0 0 2 0 1 3 2 0 0 0 0 0 0 0
3441 0 3 0 1 1 0 0 1 0 0 0 0 0 1 1 1
3442 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 1
3443 0 8 2 0 1 1 0 1 0 0 0 0 0 0 0 0
3444 0 2 0 0 0 0 0 1 0 0 0 0 0 0 0 0
3445 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3446 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3447 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
3448 4 13 1 2 6 1 1 0 0 0 0 0 1 0 0 0
3449 0 7 0 0 4 0 1 1 0 0 0 1 0 0 0 0
3450 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3451 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 0
3452 2 2 1 0 2 0 0 0 0 0 0 0 0 0 2 0
3453 3 5 3 0 3 0 0 2 0 0 0 0 0 0 0 0
3454 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0
3455 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0
3456 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3457 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3458 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 0
3459 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3460 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3461 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0
3462 0 3 4 0 1 0 0 0 0 0 0 0 0 0 0 0
3463 1 5 0 1 1 0 0 0 0 0 0 0 0 0 0 0
3464 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0
3465 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3466 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3467 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3468 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3469 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
3470 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3471 0 8 0 0 3 0 0 0 0 0 0 1 0 0 2 1
3472 3 3 0 0 5 2 0 0 0 0 0 0 0 0 0 1
3473 4 2 1 0 3 3 0 2 0 1 0 0 0 0 1 1
3474 0 4 3 0 2 0 0 2 0 1 0 2 0 1 1 1
3475 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3476 1 2 1 0 0 0 0 2 0 0 0 0 0 0 0 0
3477 1 1 0 0 0 0 0 1 2 0 0 0 0 0 0 0
3478 0 3 0 0 3 0 0 0 0 0 0 0 0 0 0 0
3479 1 5 2 0 2 0 1 0 0 0 0 0 0 1 0 1
3480 0 1 0 0 3 1 0 1 0 0 0 1 1 0 0 0
3481 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3482 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0
3483 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3484 1 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0
3485 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3486 0 1 0 1 0 0 1 1 0 0 0 0 0 0 0 0
3487 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0
3488 3 7 1 0 1 0 0 1 0 0 0 0 0 0 0 2
3489 1 1 0 0 1 0 0 2 2 0 0 0 0 0 1 0
3490 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
3491 2 2 1 0 0 0 1 0 0 1 0 0 0 0 0 0
3492 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3493 4 3 1 0 5 0 0 1 0 1 0 0 1 0 0 0
3494 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3495 4 7 6 0 6 4 3 1 0 0 0 0 1 0 0 0
3496 1 4 0 0 0 1 0 0 0 0 0 0 0 0 0 0
3497 0 2 2 0 0 0 2 2 2 0 0 1 0 0 0 1
3498 2 6 1 1 3 0 0 1 2 0 0 0 0 0 0 2
3499 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0
3500 1 6 0 0 1 0 1 0 2 0 0 0 0 0 0 1
3501 1 9 4 0 1 2 1 0 6 0 0 2 1 0 0 0
3502 0 5 1 0 1 0 0 1 2 0 0 0 0 0 0 0
3503 0 1 0 0 1 0 0 1 0 0 0 1 0 0 0 0
3504 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0
3505 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3506 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0
3507 1 4 2 0 1 0 1 0 2 0 0 2 0 0 0 0
3508 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
3509 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0
3510 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3511 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3512 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0
3513 0 2 1 0 0 2 0 0 0 0 0 0 0 0 0 0
3514 1 3 1 0 0 0 0 0 0 0 0 0 1 0 0 0
3515 0 3 0 0 1 0 0 0 0 0 0 1 0 0 0 0
3516 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3517 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3518 0 1 0 1 0 0 1 1 0 0 0 0 0 0 0 0
3519 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3520 0 4 0 0 1 0 0 0 0 0 0 0 0 0 0 0
3521 0 1 3 0 1 0 0 0 0 0 0 0 0 0 1 1
3522 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3523 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3524 1 2 0 0 1 2 1 1 0 1 0 0 1 0 0 1
3525 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3526 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3527 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3528 0 1 0 0 0 0 0 0 0 0 0 5 0 0 0 0
3529 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3530 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3531 3 4 0 0 0 1 0 1 2 0 0 0 0 0 0 0
3532 2 1 0 0 1 1 0 1 0 0 0 0 2 0 1 0
3533 1 5 1 1 3 1 0 4 0 0 0 0 0 0 0 1
3534 0 4 2 0 1 1 0 0 2 0 0 0 0 0 0 1
3535 1 6 0 0 1 0 0 0 0 0 0 0 0 0 0 0
3536 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3537 0 1 0 1 0 0 0 0 2 0 0 2 0 0 0 0
3538 0 5 0 0 0 0 0 2 2 0 0 0 1 0 1 0
3539 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0
3540 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3541 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1
3542 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0
3543 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3544 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3545 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3546 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3547 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3548 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3549 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
3550 2 10 1 0 0 1 1 1 0 2 0 1 0 0 0 1
3551 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
3552 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3553 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0
3554 0 3 1 0 2 1 0 0 0 0 0 0 0 0 0 0
3555 0 1 0 0 0 2 0 0 0 0 0 0 1 0 0 0
3556 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3557 0 2 5 0 1 2 0 3 4 0 0 0 1 0 1 1
3558 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3559 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3560 0 4 1 0 1 1 0 0 2 0 0 1 0 2 1 0
3561 4 4 0 0 2 1 1 3 0 0 0 1 0 0 0 0
3562 3 16 5 0 6 2 0 4 2 0 0 0 1 0 0 0
3563 0 3 0 0 1 1 0 0 2 0 0 0 1 0 0 0
3564 0 8 3 0 5 0 3 2 4 0 0 0 2 0 0 0
3565 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0
3566 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0
3567 0 2 0 0 2 0 0 0 0 0 0 0 0 1 1 0
3568 0 4 2 0 0 0 2 0 0 0 0 0 0 0 0 2
3569 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3570 0 1 0 0 0 0 0 0 2 0 0 0 0 0 1 0
3571 2 9 2 0 2 1 0 0 0 0 0 2 0 0 1 0
3572 0 9 0 0 1 0 0 1 0 0 0 0 0 0 0 0
3573 1 7 2 0 0 2 0 1 2 0 0 1 1 3 0 0
3574 0 5 1 1 2 0 0 1 0 0 0 0 0 0 0 0
3575 2 1 2 0 1 0 2 0 4 0 0 0 0 1 0 1
3576 3 1 2 0 2 0 1 0 0 0 0 1 0 1 1 0
3577 4 2 2 0 2 0 1 0 0 0 0 0 0 0 1 2
3578 1 3 2 0 0 0 0 1 0 0 1 0 1 0 0 1
3579 1 9 3 0 3 0 2 2 2 0 0 0 0 0 0 0
3580 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3581 1 9 0 2 3 0 0 3 4 0 0 0 0 0 1 0
3582 0 1 0 1 0 0 0 0 4 1 0 1 0 0 0 0
3583 3 4 2 1 3 0 1 0 2 0 0 0 0 0 0 4
3584 2 3 1 0 0 0 0 0 2 0 0 0 0 0 1 0
3585 0 4 3 0 1 0 0 0 0 0 0 0 0 0 1 0
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3597 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3598 0 2 1 0 0 0 0 1 0 0 0 0 0 0 0 0
3599 4 8 3 0 2 0 3 1 2 1 0 0 0 0 1 0
3600 1 0 1 0 5 0 0 1 4 0 0 0 0 0 1 0
3601 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0
3602 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0
3603 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3604 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3605 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3606 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3607 0 2 1 0 0 1 0 0 0 0 0 0 0 0 0 0
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3609 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3610 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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3612 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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3614 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 1
3615 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3616 0 6 1 0 2 0 0 0 2 0 0 0 0 1 1 0
3617 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0
3618 2 1 1 0 0 0 0 2 0 0 0 0 0 0 0 0
3619 15 32 7 1 2 4 2 5 0 0 0 0 1 2 1 5
3620 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1
3621 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3622 0 0 1 0 0 0 0 0 2 0 0 1 1 0 0 0
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3624 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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3628 1 1 0 0 1 0 0 1 0 0 0 1 0 0 0 1
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3630 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3631 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3632 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3633 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3634 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3635 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3636 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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3641 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3642 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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3648 0 1 0 0 2 1 0 2 4 0 0 0 1 0 0 0
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3657 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3658 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
3659 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3660 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3661 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0
3662 6 4 5 0 1 1 2 1 6 0 0 0 0 1 0 3
3663 1 1 3 0 0 0 0 0 0 0 0 0 0 0 0 1
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3665 6 6 1 0 9 0 2 2 0 1 0 0 0 1 0 0
3666 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3667 5 3 1 0 0 0 0 1 0 0 0 0 0 0 0 0
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3669 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3670 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3671 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3672 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3673 0 2 0 0 1 1 0 1 0 0 0 0 0 0 0 0
3674 0 3 1 0 0 0 0 0 0 0 0 0 0 0 1 0
3675 0 4 0 0 1 1 0 0 0 0 0 0 0 0 1 0
3676 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3677 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 1
3678 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3679 1 6 2 0 5 0 1 0 2 0 0 0 0 0 2 0
3680 1 1 0 0 1 0 1 1 0 0 0 0 0 0 0 1
3681 3 2 2 0 1 1 1 1 0 1 0 0 0 0 1 1
3682 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0
3683 2 1 2 1 0 0 0 1 2 0 0 0 0 0 0 3
3684 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 1
3685 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3686 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3687 0 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0
3688 0 0 0 0 0 0 0 1 2 0 0 0 0 0 0 0
3689 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0
3690 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3691 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3692 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3693 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3694 0 2 1 0 0 1 1 0 0 0 0 0 0 0 0 0
3695 0 2 1 0 0 1 1 0 0 0 0 0 0 0 0 0
3696 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3697 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
3698 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3699 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3700 1 4 0 0 0 1 0 0 0 0 0 0 0 0 0 0
3701 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3702 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
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3704 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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3706 0 3 0 0 0 0 0 1 0 0 0 0 0 0 0 0
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3708 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3709 0 6 4 1 3 1 0 1 6 1 0 0 0 0 0 0
3710 2 12 3 4 3 0 0 3 4 0 0 0 1 1 0 2
3711 0 1 0 0 0 0 0 1 2 0 0 0 1 0 0 0
3712 0 4 1 0 1 1 0 1 0 0 0 1 1 0 0 0
3713 3 5 1 0 8 2 0 6 4 0 0 2 0 2 0 0
3714 1 4 0 0 1 0 0 1 0 0 0 0 0 0 0 1
3715 8 34 14 0 6 1 2 3 2 0 1 3 5 0 1 0
3716 1 2 0 0 0 0 2 1 2 1 0 0 1 0 1 2
3717 1 2 0 0 0 0 1 2 2 0 0 0 0 0 0 0
3718 0 2 1 0 0 0 0 0 2 0 0 0 0 0 0 0
3719 0 0 0 0 1 0 0 1 2 0 0 1 0 0 0 1
3720 0 1 1 0 0 1 0 0 0 0 0 0 1 0 0 1
3721 1 0 1 0 0 1 0 1 0 0 0 0 0 1 0 0
3722 1 3 2 0 1 0 0 0 2 0 0 0 1 0 0 0
3723 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
3724 1 3 1 1 1 0 0 2 0 1 0 0 0 0 0 0
3725 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3726 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3727 2 8 2 1 2 1 1 4 0 0 0 0 0 0 0 0
3728 0 13 2 1 6 1 0 1 4 0 0 0 1 0 0 0
3729 0 5 2 1 1 0 1 3 2 0 0 0 0 0 0 0
3730 0 3 2 1 3 0 0 0 0 0 0 0 0 0 0 0
3731 0 5 0 0 1 0 1 1 4 0 0 1 0 0 0 0
3732 4 13 2 0 1 0 0 0 4 0 0 1 0 0 0 1
3733 2 4 0 0 1 1 0 0 0 0 0 0 0 0 0 0
3734 1 13 5 0 6 2 2 3 4 0 0 0 0 0 0 1
3735 1 1 0 0 1 0 0 0 0 0 0 0 0 0 2 0
3736 3 3 3 0 2 0 0 0 0 0 0 1 0 0 1 0
3737 2 11 1 0 5 2 0 4 6 0 0 2 3 2 0 0
3738 0 3 1 0 2 0 0 0 0 0 0 0 0 0 0 0
3739 0 0 2 0 0 2 0 3 0 0 0 0 0 0 1 1
3740 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
3741 0 3 0 1 0 2 0 1 2 0 0 0 1 0 1 0
3742 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3743 0 1 1 0 0 0 0 2 0 0 0 0 1 0 0 1
3744 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3745 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1
3746 6 3 3 0 2 0 0 1 4 0 0 0 0 0 0 0
3747 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3748 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3749 1 1 0 0 1 1 0 0 2 0 1 2 0 0 0 1
3750 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0
3751 4 3 2 0 0 0 0 1 0 0 0 0 1 0 0 1
3752 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3
3753 0 0 1 0 2 0 0 0 2 0 0 0 0 0 0 1
3754 0 1 1 0 0 1 0 0 2 0 0 0 0 0 0 0
3755 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3756 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3757 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
3758 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3759 1 10 3 1 3 1 1 1 0 0 0 0 0 0 0 0
3760 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3761 2 11 1 0 1 0 0 0 0 0 0 0 0 0 0 0
3762 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0
3763 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3764 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3765 0 1 1 0 2 0 0 0 0 0 0 0 0 0 0 0
3766 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 1
3767 1 4 3 0 2 0 0 0 0 0 0 0 0 0 1 1
3768 0 1 0 0 0 0 0 2 0 0 0 1 0 1 1 0
3769 0 0 1 0 1 0 0 0 0 0 0 0 1 0 1 2
3770 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
3771 1 2 0 0 0 1 0 1 2 0 0 0 0 0 0 0
3772 1 3 0 0 0 1 1 0 0 0 0 0 0 0 0 1
3773 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3774 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3775 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3776 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3777 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3778 2 1 1 0 0 0 1 1 2 0 0 1 0 1 0 1
3779 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3780 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3781 4 8 2 0 3 1 0 0 2 1 0 0 0 0 0 0
3782 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3783 2 5 0 0 3 0 0 0 0 0 0 0 1 0 0 0
3784 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3785 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3786 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3787 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3788 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3789 0 0 0 0 1 0 0 3 0 0 0 0 0 0 0 1
3790 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3791 0 3 0 0 0 0 1 0 0 0 0 0 0 2 0 0
3792 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3793 1 9 2 0 0 0 0 1 4 0 0 0 2 1 0 1
3794 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
3795 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3796 0 0 2 0 1 1 0 0 0 0 0 0 0 0 1 1
3797 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3798 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3799 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3800 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3801 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3802 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0
3803 0 3 1 0 1 0 1 1 0 0 0 0 0 0 0 1
3804 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3805 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3806 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3807 0 3 2 0 3 1 1 6 4 0 0 4 3 1 1 0
3808 0 5 2 2 0 1 0 4 0 0 0 0 0 0 0 0
3809 0 1 0 0 2 2 0 0 2 0 0 0 0 0 0 1
3810 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0
3811 3 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
3812 2 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0
3813 2 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0
3814 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3815 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3816 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3817 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0
3818 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3819 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
3820 1 22 15 3 1 1 3 5 18 0 0 0 1 0 1 1
3821 0 5 0 0 1 0 0 1 0 0 0 1 3 0 0 1
3822 0 0 2 1 1 0 0 1 0 0 0 0 1 0 0 0
3823 3 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0
3824 0 2 3 0 0 0 0 0 0 0 0 0 0 0 0 1
3825 4 2 0 0 1 1 1 0 0 0 0 0 0 0 0 0
3826 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3827 1 2 0 0 1 0 0 1 0 0 0 0 0 0 1 0
3828 10 14 1 0 3 1 4 4 0 0 0 1 1 1 0 1
3829 3 9 2 0 0 1 1 1 0 0 0 0 1 2 0 0
3830 1 17 3 3 1 2 0 6 2 0 0 0 0 1 0 0
3831 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3832 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3833 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
3834 0 0 1 0 3 0 0 1 0 0 0 0 1 0 1 1
3835 0 2 0 0 1 1 0 1 2 0 0 1 0 0 0 0
3836 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3837 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
3838 0 3 1 0 0 0 0 1 0 0 0 0 0 0 0 0
3839 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3840 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3841 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3842 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3843 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0
3844 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1
3845 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3846 3 11 1 0 1 0 0 0 0 0 0 0 1 0 0 1
3847 0 5 1 0 0 1 0 2 0 0 0 0 0 0 0 0
3848 0 3 0 0 2 0 2 1 0 0 0 0 0 0 0 0
3849 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0
3850 0 1 2 0 0 0 0 2 0 0 0 0 0 0 0 0
3851 1 5 1 0 0 0 0 0 0 0 0 0 0 0 0 1
3852 0 2 0 0 0 2 0 2 2 0 0 0 0 0 0 1
3853 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3854 0 1 1 0 0 0 0 0 2 0 0 1 0 0 0 0
3855 1 6 1 0 1 1 1 1 2 1 0 1 0 0 0 0
3856 0 3 0 0 2 1 1 0 0 0 0 0 0 1 0 0
3857 0 3 3 0 9 1 0 1 2 0 1 0 1 0 0 0
3858 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1
3859 0 3 2 0 0 2 0 0 0 0 0 2 0 1 0 0
3860 4 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
3861 2 3 0 0 1 0 1 0 0 0 0 0 0 0 0 0
3862 6 10 1 0 1 0 3 2 0 0 0 0 1 0 0 0
3863 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3864 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3865 2 7 2 0 2 0 0 0 0 0 0 1 0 0 0 0
3866 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0
3867 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3868 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0
3869 0 2 0 0 1 0 0 0 0 0 0 1 0 0 0 0
3870 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 1
3871 3 12 6 1 1 1 0 3 0 0 0 0 0 0 0 0
3872 5 7 2 0 4 0 1 2 2 0 0 0 0 1 1 1
3873 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3874 0 3 4 0 0 0 0 0 0 0 0 0 0 0 0 0
3875 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0
3876 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3877 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
3878 2 5 1 0 1 0 0 2 0 0 0 0 0 0 0 0
3879 2 0 0 0 3 1 0 0 2 0 0 0 0 0 0 0
3880 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3881 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
3882 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3883 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3884 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0
3885 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3886 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3887 0 1 2 0 2 0 1 1 2 0 0 1 0 0 1 0
3888 1 3 3 0 1 2 0 2 0 0 0 0 0 0 0 0
3889 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0
3890 0 3 0 0 0 0 0 1 0 0 0 0 1 0 0 0
3891 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3892 0 0 1 0 3 3 1 2 2 0 0 1 0 0 0 2
3893 0 1 2 0 0 0 0 0 0 0 0 1 0 0 0 0
3894 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
3895 1 3 1 0 0 1 0 3 0 0 0 1 1 0 0 1
3896 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3897 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3898 1 4 4 1 2 1 2 3 2 0 0 4 1 0 5 4

Cálculo del Estadístico Espacial Local \(\color{#2ECC40}G_{\color{#2ECC40}i}^{\color{#2ECC40}*}\)


2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
0.130 -0.017 -0.813 0.296 0.752 -0.249 0.014 -0.371 -1.044 1.329 -0.238 1.011 0.600 -0.715
-0.403 -0.333 0.458 -0.676 -1.157 -0.618 1.215 0.957 -0.580 1.329 -0.238 -0.266 -0.912 -0.715
1.238 0.866 0.690 -0.441 1.559 0.242 0.167 0.335 0.033 -0.311 -0.155 -0.581 -0.594 1.128
0.497 0.731 -0.328 -0.510 0.714 -0.535 -0.894 -0.780 1.078 -0.360 -0.180 0.993 -0.693 -0.539
0.430 0.076 0.297 1.037 -0.516 -0.323 -0.773 -0.675 -0.687 -0.311 -0.155 -0.586 0.556 -0.466
2.842 1.176 2.629 -0.441 0.721 1.924 1.974 0.335 0.037 2.437 -0.155 -0.581 0.556 -0.466
0.551 1.163 1.473 0.949 -0.891 1.452 1.898 0.584 -0.353 1.054 -0.271 0.098 -1.045 -0.812
2.713 5.294 3.837 7.465 1.802 3.734 0.438 -1.107 2.440 -0.511 -0.255 -0.369 0.439 0.217
2.590 3.181 3.389 4.651 2.508 3.374 3.064 -0.780 1.707 -0.360 -0.180 -0.672 -0.693 -0.539
0.613 1.240 0.718 0.459 1.324 0.349 0.855 -0.241 1.084 -0.442 -0.220 1.219 -0.851 -0.661
1.199 2.879 1.241 0.311 1.846 0.495 0.624 1.621 1.792 -0.478 -0.238 0.368 -0.920 -0.704
2.702 2.771 3.356 1.116 3.560 2.006 0.979 3.259 3.330 1.180 -0.255 -0.369 -0.985 0.217
-0.250 -0.448 0.703 0.423 -0.149 1.937 0.198 1.202 0.563 1.508 -0.220 3.952 1.609 -0.661
-0.902 -1.186 -1.004 -0.510 -1.077 -1.022 -0.894 -0.780 -0.794 -0.360 -0.180 -0.678 -0.693 -0.539
0.130 1.531 2.250 -0.676 0.472 1.597 0.624 0.293 2.258 1.329 -0.238 2.268 2.136 4.568
1.940 2.577 0.487 -0.724 -0.512 2.367 0.417 3.244 1.087 2.872 -0.255 2.016 2.591 2.179
-0.932 -1.159 -0.822 -0.666 -1.150 -0.618 1.215 -0.371 -1.053 1.329 -0.238 -0.892 -0.160 -0.715
0.145 0.045 0.689 -0.510 1.431 -1.018 -0.888 0.096 -0.794 -0.360 -0.180 -0.678 -0.693 0.844
0.025 -0.869 -0.869 -0.441 -0.932 -0.885 -0.773 -0.675 -0.687 -0.311 -0.155 -0.586 -0.600 -0.466
0.846 1.287 -0.328 -0.510 -0.712 -0.037 1.481 0.096 -0.170 -0.360 -0.180 -0.678 0.309 -0.539
-0.780 -1.026 -0.869 -0.441 -0.932 -0.885 0.140 -0.675 -0.687 -0.311 -0.155 -0.586 1.712 -0.466
1.503 2.835 1.291 1.724 1.040 2.344 0.425 -0.873 -0.888 -0.403 -0.201 -0.758 -0.776 -0.603
0.025 0.232 -0.480 1.037 0.308 -0.323 -0.773 -0.675 -0.687 -0.311 -0.155 -0.586 -0.600 -0.466
-0.902 -0.914 -0.331 -0.510 -1.077 -0.535 -0.894 -0.780 -0.170 -0.360 -0.180 -0.678 -0.693 -0.539
0.427 0.232 0.685 -0.441 -0.518 -0.323 1.053 1.345 0.752 -0.311 -0.155 0.377 0.556 5.911
0.500 3.197 4.391 4.617 1.449 1.911 3.866 1.847 6.104 2.085 -0.180 1.838 1.322 2.226
5.462 4.011 1.798 1.472 2.781 5.120 4.084 1.944 4.129 -0.442 4.399 2.598 3.249 4.993
0.701 2.199 -0.466 2.006 0.255 1.320 -0.699 -1.099 1.538 1.180 3.754 -0.962 0.451 -0.765
-0.888 -1.325 -1.053 -0.757 -0.895 -0.889 -1.339 -1.166 -0.353 -0.543 -0.271 -0.462 -0.374 -0.812
0.145 2.632 0.343 -0.510 0.356 -0.535 -0.096 1.847 0.454 -0.360 -0.180 3.499 -0.687 -0.539
0.240 0.385 0.987 0.577 -0.564 0.600 0.417 1.479 -0.888 1.730 -0.201 -0.010 0.121 -0.603
0.427 0.547 1.464 -0.441 -0.100 0.239 -0.769 -0.675 -0.687 -0.311 -0.155 -0.586 -0.600 -0.466
0.210 2.479 0.978 1.096 2.804 0.277 0.979 2.622 2.859 1.180 3.754 0.234 -0.273 1.198
1.197 3.087 2.956 0.186 3.812 2.011 1.551 2.001 0.652 1.180 -0.255 0.234 -0.273 1.221
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0.899 -0.892 1.526 0.423 -0.146 -0.848 -0.449 0.476 0.047 -0.442 -0.220 -0.831 -0.851 -0.661
0.328 -0.340 0.972 0.423 -0.726 -0.458 -1.090 0.476 0.053 -0.442 -0.220 1.902 -0.851 0.470
-0.636 -0.837 -0.709 -0.360 -0.760 -0.721 -0.631 -0.550 -0.560 -0.254 -0.127 -0.478 -0.489 1.571
0.843 -1.186 -0.668 -0.510 -0.002 -1.022 -0.102 -0.780 -0.170 -0.360 -0.180 -0.678 -0.693 -0.531
-0.636 -0.645 -0.233 -0.360 -0.760 -0.721 -0.631 -0.550 -0.560 -0.254 -0.127 -0.478 -0.489 -0.380
-0.636 0.318 0.242 3.258 0.251 2.028 2.721 -0.550 0.320 -0.254 -0.127 1.880 -0.489 -0.380
-0.932 -1.055 0.458 0.296 -0.071 0.490 1.215 0.957 0.366 -0.478 -0.238 3.534 -0.160 -0.715
-0.780 -0.869 -0.092 -0.441 0.308 0.239 1.966 0.335 0.033 -0.311 -0.155 0.377 -0.600 -0.466
-0.902 -1.186 -1.004 -0.510 -1.077 -1.022 -0.894 -0.780 -0.794 -0.360 -0.180 -0.678 -0.693 -0.539
-1.107 -0.673 -0.675 0.423 -1.315 0.344 -0.449 0.485 0.053 1.508 -0.220 -0.140 -0.031 -0.661
-0.142 -0.257 -0.228 -0.360 -0.758 1.348 0.499 -0.550 -0.560 -0.254 -0.127 0.701 0.925 -0.380
-0.902 -1.049 -1.001 -0.510 -1.077 -1.022 -0.894 -0.780 -0.794 -0.360 -0.180 -0.678 -0.693 -0.539
-0.697 -0.591 0.685 0.577 -0.564 0.604 0.417 0.695 0.229 1.730 -0.201 3.729 1.030 -0.603
-1.009 -0.839 -0.822 -0.570 -1.205 -0.272 -0.292 -0.873 -0.888 1.730 -0.201 -0.758 1.019 -0.603
-0.553 -0.504 0.682 0.772 -0.353 0.447 -0.085 0.980 0.459 -0.360 -0.180 4.348 0.309 -0.539
-0.667 -0.332 0.207 0.296 -0.886 1.228 0.014 0.293 -0.107 -0.478 -0.238 3.534 1.360 -0.715
-1.435 -1.280 -0.312 0.005 0.111 0.859 0.089 0.431 -0.072 -0.573 -0.286 2.111 2.085 0.023
-0.694 -0.713 0.387 -0.570 -0.884 -0.261 0.425 -0.873 -0.888 -0.403 -0.201 -0.752 -0.769 -0.603
0.025 0.075 0.685 -0.441 -0.518 1.924 1.966 -0.675 -0.687 -0.311 -0.155 0.377 0.556 -0.466
-0.932 -0.849 -0.311 -0.676 -1.429 0.120 -0.586 -1.035 -1.053 -0.478 -0.238 -0.266 0.600 -0.715
-0.888 -0.777 0.082 -0.757 -0.655 0.764 0.784 0.019 0.073 1.054 -0.271 0.795 0.311 -0.812

Hotspots e Intensidad


2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 Intensidad
1 1 0 0 0 1 1 0 1 0 1 0 0 1 7
1 1 1 0 0 1 0 1 0 0 1 0 1 0 7
1 1 0 1 0 1 0 1 0 0 0 0 0 1 6
0 1 1 0 1 0 0 1 1 0 0 0 0 0 5
1 1 1 0 0 0 0 1 0 0 0 0 1 0 5
1 1 1 0 0 0 0 0 0 0 1 0 1 0 5
0 1 1 1 0 1 0 0 0 0 0 0 0 0 4
0 0 1 1 0 0 1 0 1 0 0 0 0 0 4
0 1 0 1 0 1 0 0 0 0 1 0 0 0 4
0 0 1 1 0 0 0 0 1 0 0 0 0 0 3
0 0 0 0 1 0 1 0 0 0 1 0 0 0 3
1 0 0 0 0 0 0 0 0 0 1 0 0 1 3
0 1 1 0 0 0 0 0 0 0 0 0 1 0 3
0 1 1 0 0 0 0 0 0 0 0 0 1 0 3
0 1 1 0 1 0 0 0 0 0 0 0 0 0 3
0 1 1 0 0 0 0 0 0 0 0 0 1 0 3
1 1 0 0 0 0 0 0 0 0 1 0 0 0 3
0 0 0 0 1 0 0 0 1 0 0 0 0 1 3
0 0 0 0 1 0 0 0 1 0 1 0 0 0 3
0 0 0 0 1 0 0 0 1 0 0 0 0 0 2
0 0 1 0 1 0 0 0 0 0 0 0 0 0 2
0 0 1 0 0 0 0 0 1 0 0 0 0 0 2
0 0 0 0 0 0 1 0 0 0 1 0 0 0 2
0 0 0 0 1 0 0 0 0 0 0 0 1 0 2
0 0 0 0 0 0 0 0 0 0 1 0 0 1 2
0 0 0 0 1 0 0 0 1 0 0 0 0 0 2
0 0 1 0 0 0 0 0 0 0 1 0 0 0 2
0 1 0 0 0 0 0 0 0 0 0 0 1 0 2
0 0 0 1 0 0 0 0 1 0 0 0 0 0 2
0 1 0 0 0 0 0 0 1 0 0 0 0 0 2
0 0 0 1 1 0 0 0 0 0 0 0 0 0 2
0 0 0 1 0 0 0 0 1 0 0 0 0 0 2
0 0 1 0 0 0 0 0 1 0 0 0 0 0 2
0 0 1 0 0 0 0 0 1 0 0 0 0 0 2
0 0 0 1 1 0 0 0 0 0 0 0 0 0 2
0 0 0 0 0 0 0 0 0 0 0 1 0 1 2
0 0 0 0 0 0 0 0 0 1 0 1 0 0 2
0 0 0 0 0 1 0 0 0 0 0 1 0 0 2
0 0 0 0 0 0 0 0 1 0 0 0 1 0 2
0 1 0 1 0 0 0 0 0 0 0 0 0 0 2
0 0 0 1 0 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 1 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
0 0 0 0 0 0 0 0 0 0 1 0 0 0 1
0 0 0 0 0 0 0 0 0 0 1 0 0 0 1
0 0 0 0 1 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 1 0 0 1
0 0 0 0 0 0 0 0 0 1 0 0 0 0 1
0 0 0 0 1 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 1 0 1
0 0 0 0 1 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 1 0 0 0 1
0 0 0 0 1 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 1 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 1 0 1
0 0 0 0 0 0 0 0 0 0 1 0 0 0 1
0 0 0 0 0 0 0 0 0 1 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 1 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 1 0 1
0 0 0 0 0 0 0 0 0 1 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 1 0 0 0 1
0 1 0 0 0 0 0 0 0 0 0 0 0 0 1
0 1 0 0 0 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
0 0 0 0 0 0 0 0 0 0 1 0 0 0 1
0 0 0 1 0 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 1 0 0 0 0 0 0 1
0 0 0 0 1 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 1 0 0 1
0 0 0 0 0 0 1 0 0 0 0 0 0 0 1
0 0 0 0 1 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 1 0 0 1
0 0 0 0 0 0 0 0 0 0 1 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 1 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 1 0 0 0 0 1
0 1 0 0 0 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 1 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 1 0 1
0 0 0 0 0 1 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 1 0 0 0 1
0 0 0 0 0 0 0 1 0 0 0 0 0 0 1
0 0 0 0 0 1 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 1 0 0 1
0 0 0 0 0 0 0 0 0 0 0 1 0 0 1
0 0 0 0 1 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 1 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
0 0 0 0 0 0 0 0 0 0 0 1 0 0 1
0 0 0 0 0 0 0 0 0 1 0 0 0 0 1
0 0 0 0 0 0 0 0 1 0 0 0 0 0 1
0 0 0 0 1 0 0 0 0 0 0 0 0 0 1
1 0 0 0 0 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 1 0 0 0 0 0 0 0 1
0 0 0 0 0 0 1 0 0 0 0 0 0 0 1
0 0 0 1 0 0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 1 0 0 1
0 0 0 0 0 0 0 0 0 0 0 1 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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Intensidad de la Transmisión de Dengue


Intensidad de la Transmisión de Dengue


Dios Botic