Sample characteristics
The sample included 36 households, which consisted of 280 individuals (60 of whom were added over the course of the study period). The median age of the household respondent, who provided information for children under the age of 18, was 42 years (IQR=23) and 15 (42%) were female. 21 respondents (58%) had at least a primary education (table 1- Panel A).
Of the 280 individuals in the sample (including the household respondent), 151(54%) were female, and 110 (39%) were aged 18 or above. Among the 110 individuals aged 18 or older, 67 (61%) had at least a primary level education. At the baseline survey, 92 (88%) had previously heard of RDTs, and among those who had, 85 (94%) also had previous experience with an RDT (table 1- Panel B).
At baseline, confidence in RDTs and ACTs was low, in spite of high levels of awareness and experience with this technology. Although 82 individuals (92%) believed that a positive RDT results was “very likely” to be correct, only 55 (63%) believed that a negative RDT result was “very likely” to be correct. In addition, only 60 (60%) believed that Artemether Lumefantrine (AL)—the type of ACT frequently used in this area— was “very effective” in treating malaria (table 1-Panel B).
We conducted 5,617 household surveys between June 2017 and December 2019 (including both monthly and annual surveys). In those surveys, 909 people (16%) reported having a malaria-like illness in the past month and 638 (70%) of those were tested with an RDT (from either the study team or elsewhere). 337 (53%) of those tests were reported as being positive for malaria. While 323 (96%) people adhered to a positive test result, only 182 out of the 300 (61%) who reported testing negative adhered to their test result (table 1-Panel C).
Table 1: Sample characteristics
Panel A: Household Characteristics (N=36)
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Median (IQR) or N(%)
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Age of Household Respondent
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41.5 (33.0, 56.0)
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Household Respondent is Female
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15 (41.7%)
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Education Level of Household Respondent
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Less than primary
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15 (41.7%)
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Primary education or more
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21 (58.3%)
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Main source of drinking water
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Piped/protected source
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26 (72.2%)
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Unprotected source
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10 (27.8%)
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Owns more than one acre of land
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16 (44.4%)
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Household size
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5.0 (4.0, 7.5)
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Panel B: Individuals (N=280)
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N(%)
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Female
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151 (53.9%)
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Adult 18 years or older:
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110 (39.3%)
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Among Adults 18 years or older:
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Education
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Less than a primary education
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43 (39.1%)
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Primary education or more
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67 (60.9%)
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Heard of RDTs
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92 (87.6%)
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Previously had an RDT (among those who have heard of RDTs)
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85 (94.4%)
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Beliefs about Malaria at Baseline
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Believe positive RDT very likely correct
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82 (92.1%)
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Believe negative RDT very likely correct
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55 (62.5%)
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Believe AL very effective in treating malaria
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60 (60.0%)
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Reported malarial illness over study period
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227 (84.7%)
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Number of study RDTs received
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0
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56 (20.0%)
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1
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41 (14.6%)
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2
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27 (9.6%)
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3 or more
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156 (55.7%)
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Panel C: Monthly Surveys (N=5617)
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N (%)
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Reported malaria illness in past month
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909 (16.2%)
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Had RDT for malaria illness
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638 (70.2%)
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Tested positive for malaria
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337 (52.8%)
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Adhered to positive test result
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323 (95.8%)
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Adhered to negative test result
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182 (60.7%)
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Notes: The household respondent provided information on malarial illnesses for children under the age of 18. Their beliefs were also used for children under the age of 18.
Confidence in Malaria Testing and Treatment Behavior
Table 2 shows the association between confidence in malaria RDTs and two key malaria treatment behaviors: whether an individual is tested with an RDT when they have a fever or malaria-like illness and whether an individual who is tested adheres to a negative RDT result. We focused on adherence to a negative test because adherence to a positive test is already very high. Compared to those with lower confidence in RDTs, those who believed a negative RDT was “very likely to be correct” were not more likely to get tested with an RDT (aOR=1.31, 95% CI [0.866 1.976], P=0.203), but, when they were tested with RDT, had 78% higher odds of adhering to a negative RDT result (aOR=1.78, 95% CI [1.079 2.934], P=0.024).
Table 2: Association between Confidence in Testing and Treatment Behavior
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)
Notes: Beliefs are those of the household respondent if the individual was under the age of 18. Results are from logistic regression models and coefficients are expressed in terms of odds ratios. Columns 2 and 4 include the following controls: age and gender of the individual, education level (of the respondent if the individual was under 18), whether the individual slept under a net the previous night, the main source of household drinking water, whether the household owns more than one acre of land and village fixed effects. *p<0.05, **p<0.01
Experience with Testing and Confidence in Testing and Treatment
Over the 30-month study period, monthly beliefs data collected from all individuals who had a malaria-like illness, regardless of whether they were tested, show that confidence in both RDTs and ACTs increased steadily over time (Figure 1). For RDTs, the proportion of people who said they believed a negative RDT was “very likely” to be correct increased from approximately 55% to 75%. The proportion of people who believed an ACT was “very likely” effective in treating malaria increased from approximately 75% to nearly 95%.
When we compare those who were tested for malaria with those who were not tested, we find further evidence that testing experience is associated with higher confidence in RDTs. Those who had any study RDT over the first study year had approximately three times higher odds of believing a negative RDT was “very likely” to be correct at the end of the year, controlling for their beliefs at the start of the study period (aOR=3.63, 95% CI [1.718 7.679], P=0.001). We find no evidence, however, that the number of tests people had over this time period was associated with their confidence in RDTs (Figure 2).
We also don’t find strong evidence that the results of the test influenced changes in beliefs; those who received at least one positive RDT over the first year had slightly higher odds of strong confidence in RDTs at the end of the year but this association did not hold in the adjusted model and was not observed among those who had received at least one negative RDT during that time (Table 3).
Table 3: Association between Testing Experience and Confidence in Test
![](data:image/png;base64,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)
Notes: Beliefs are those of the household head if the individual was under the age of 18. Information on whether the individual was tested and the test result is based on sick visit surveys by the study team. Results are from logistic regression models and coefficients are expressed in terms of odds ratios. Columns 2, 4, and 6 include the following controls: age and gender of the individual, education level (of the respondent if the individual was under 18), the main source of household drinking water, whether the household owns more than one acre of land and village fixed effects. *p<0.05, **p<0.01
Lastly, we did not find any statistically significant association between having been tested with an RDT and the odds of saying that AL was “very likely” to be effective in treating malaria at the end of the first year (Appendix Table A1).
Treatment Behavior and Confidence in Testing and Treatment
In Table 4 we show how adherence to the test result affects individuals’ subsequent confidence in RDT testing. We find that those who adhered to their previous malaria test result had approximately twice the odds of saying that a hypothetical negative RDT was “very likely” to be correct compared to those who did not adhere to the previous test result (aOR=2.20, 95% CI [1.661 2.904]. P<0.001]. When we split this out by adherence to a positive versus a negative test result, we find little effect of adherence to a positive test result (aOR=1.07, 95% CI [0.316 3.594, P=0.918), but a significant difference in confidence from those who adhered to a negative test result relative to those who did not adhere (aOR=2.09, 95% CI [1.403 3.116], P<0.001).
Table 4: Association between Adherence to Test Result and Confidence in Testing
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Lv3r2orq6e1Xy2tLRg3bp1eOONN2Y9FiKAI3tERNNOuT4zPj5evT5TuTCcf29PDavVCmBy16ROFWU09F5ufiCaDhzZIyKaAaIo4oknnkBfX5+6bPPmzfc0DUq+lFHSuLi4e5rynOpYnnrqKWi12lmPhUjBYo+IiIgoinEal4iIiCiKsdgjIiIiimIs9oiIiIiiGIs9IiIioijGYo+IiIgoirHYIyIiIopiLPaIponFYoHFYhm3nSiKeOSRR+B0OmcgqsgzkTw9+uijYX33bjSqq6uDxWIZ90OYmSfmKVzh5EoURTz22GPqdzrPR97fjzsWURTxrW99KyJzxWKPaBqIoohjx475fM+pxWKBIAgBhY1Op8PGjRvR3t4+02HOOlEUcfz4caxevRrA33Kk/NhsNrWtTqdDWVkZzp07N1vhzhrlfFK+h7Surg4xMTFBv+dWOZ/OnTsXcW84080/T4rKykrExMSgtrZWzcl8zhPwt+feww8/jDVr1qjnkyAIqKioUAsb5Xl3/vz5WY54dih5ys3NVc+p/fv3Y8GCBRAEAYmJibh06RJkWfbJVaSdUyz2iKZBZ2cn4uLiYDQaIYoiUlNTIUkS8vPzg7bPyMhAa2srJEma4UhnV2dnJ7RaLYxGI5xOJ/74xz9iZGQEsiyjtrYWVVVVPoWMkiePxzOLUc88//Opu7sbw8PDkGUZTzzxBHbv3u3z5pKeno73339/3p1PDodDzZOipaUFV69exUMPPRTQPiMjY17mCbibK61Wi7S0NAiCgJMnT2J0dBSyLOPw4cOIiflbeaDkab4974DAPO3fvx/vvfcePv/8c8iyjFu3buGhhx5SC8H09HR88MEHEZcrFntE08BqtcJgMECj0UCn06Gvrw/V1dUh22dnZ2NkZAS9vb0zGOXsa25uVvOUlZWFY8eOQavVAgDy8vJw3333YXBwUG2fnZ0Nj8czL/Ok1+vV8+ngwYNqnlasWAGXy+VTsMzX88lqtap5Au5+J3F9fT2qqqoQHx8f0N5kMs3LPAG+59R4TCaT+ryLtBGr6dbc3AydTgetVquO8u3ZswdxcXFB2yu5unbtWkTlisUe0RRTvvR+xYoVYW+j1WoRFxcHl8s1jZFFFu88BftuWJfLha+++gpJSUnqMiVP3qN90W6s80kURTQ2NuLpp5/2edOez+fT8uXL1WVvvvkm9Ho9SkpKgm7jnadIemOebt65Up57zzzzDGJiYpCYmBhwzdl8fN4Bd/PkdrvVc+rTTz/FF198gU2bNqnTuN5T3kDkPvdY7BFNMY/Hg4GBAWRkZIS9jUajgcFgQHd39zRGFlnGypMkSWhoaMALL7wAvV6vLp/PeUpPT1ffmO12O2JiYqDX6/H444+jurrap2BW8tTT0zNvihiPx4Pr16+r55PT6cSxY8fwy1/+MugfE4BvnuYT7+eeRqPB6dOn1SncV199FRs3bvQp7OZ7npTnnsvlwtDQEP7zP/8Td+7cgdPpxAcffAC73a4+zzQaDfR6fcQ991jsEVHE+eEPfwhZlrF169bZDiUilZSUqG/OmZmZMBqN827UZSySJOGVV17BP/7jP0Kn0812OHNKeXk5BEGIyDtKI0F8fDySkpIgCALS0tKQmZkZcYVdMCz2iCiiVFZW4ubNm3j33XfV69IotNWrVyM2Ntbn2sb5TpIkXL9+HevWrUNMTAy0Wi3a2tqwc+dOFBQURNzF85Hk008/RWxsLAwGw2yHEnEMBgNiY2Px6aefRnxx54/FHtEU02q1SE5OntBUo3INzUSmfuc6/zxJkoTCwsIxC735nCdl9MDpdKKmpkZ9szl37lzAtY1KnrynfqOdVqvFsmXL0N3djaSkJPVmAlmW4fF4UFBQgH379qGtrU09t7zzNJ94P/dqamrgcDjU86mhoQEGgwFGo1E9d+Z7npTnXlpaGr7+9a+rH9dz4cIFOJ1On49lUa7zi7TnHos9oimmXN9y+fJlAFA/ekWr1eLs2bOoqakJ+Lw9j8eDkZGRefXXtHeeZFnG+fPncfbsWZw9exZxcXHqZ36ZzWb1jUjJk/d1fNHO/3wyGo34+OOP1c9F+8UvfoHjx4/75GQ+n09XrlwJexvvPEXSG/N0885Vbm4uHn74YfV8+tOf/oR33nnH527T+fi8A/52/Z1yTmk0GrzxxhvYt28fFixYgJKSEvz2t79Fdna2ev5E6nMvdrYDIIpGpaWlqK+vhyRJ6kevjKWzsxNDQ0M+ozPzwYYNG9Q8KdehjWU+56mhoQGSJEGr1eLMmTNjtp+vefJ+3nmPDGs0mqA5czgcGBoawuLFi2cyzIigPPdWrVqFO3fujNlWyZNyrdp8ojz3PB4P4uPjkZmZiU8//TRke4fDgVu3bmHx4sURlSuO7BFNg4l+zpnVakVOTs68u5h8op+b19zcjJUrV87LPE3kfJqveZro5+ZZrVasXLly3o1YARP77Lzm5mY8/vjj8+58Aib+uXmRmisWe0TTYCJfgSaKIq5evYqqqqoZiCyyTOQr0JQ87dixI6L+Yp4JE/lqL+aJeQpHuF+DpuRp+/bt8z5P4ZxTn3zyCbZv3+7zDSSRQJDn2i0lRERERBS2gGv25mPlTkRERDSXjTV2F1DscaCPiIiIKHpE1qQyEREREU0pTuMSERERzXGcxiUiIiKapziNS0RERBTFWOwRERERRTEWe0RERERRLCKKPUmSUFBQAEEQkJqait7eXp/fRVGc7RCJiIiI5qQJFXtOpxOJiYkQBAGCIKCgoACSJE06iIMHDwIAPB4P+vr6cOrUKQDAxYsXMTw8jM7OzrBjs9vtk44HAMxmM8xm85T0RURERDRbwi72LBYLCgsLcebMGciyDFmWYTAYxv1evfFIkoTW1lYUFRVBo9H4/P7EE0/g1q1bKCkpGbefrKyssNuGE5PL5cKKFSsm3RcRERHRrJLD4HA45ISEBNlms4VsY7PZZADqT21trc/62tpadV1CQoLscDjUfr2Xa7Van98ffPBB2e12B+2noqLCJ8aHH344ZFtln0rbsrIy+Wc/+1lAvMFiUrYL51jH6luWZdntdsspKSkB+SEiIiKaDmGN7NXX1yMzMxO5ublB11ssFuzYsQNutxuyLMPhcOCXv/ylOqVqsVjQ2Niori8uLkZ9fT2ysrJw5swZPPzww3C73bh16xYuXLig/r57924kJiZCq9UG7ScxMRFOpxMA0N7ejri4uJBtlX0qbY8fP47+/n7IsgybzYbGxkaIohg0pqysrLCPday+AWBwcBDDw8PIyMgIJ/VEREREkzJusSeKIjo6OtRp1mDrGxsb0dDQAJ1OBwAwGo3IzMxEd3d3wHr/KVKXy+VTpHn/fvnyZXW/wfZjsVjUQmystv77vHz5MvLz8/HrX/9aPY7k5OSgMUzkWMPpeyqnm4mIiIjGM26xN95IlHLzRHZ2trrM4/FgYGAAGRkZ6OzsRH9/P9auXQtBEKDValFUVITq6moAQHd3NwwGg1pIKr8Dd4suZb/B9qNQijnvtqH2qbStqqoK2Kfyu9Vq9fk93GMNp28iIiKimTRusZeUlIT4+Hh15Coc3kVRd3c38vPz4fF41Bs7lEIPuDsS5n0jhPK7x+PByMiIWvh1d3f7jJB5C9Y21D792/rHoBRspaWlEz7W8fomIiIimmnjFns6nQ45OTk+151JkoSNGzeq18sNDw9jcHAQwN2PQKmsrMS2bdug0+mQkZGBgYEBeDyegL6VKWJlRM77d6W/pKQkAAjox2KxqNfJjdfWm39b/xiUkbpQxjrW8foWRRGpqamwWCyhE05EREQ0hcK6QePXv/41kpOTodfr1WnRzZs3IysrCyUlJSguLobJZIIgCDCZTGhqalJH0kpKSpCTk6NuKwiCWuwMDg4iNjZWHQnz/t3/hovc3FyfGC5fvqxe9+bfdqx9+rf1j0EpbteuXRvwOYLjHet4ffPmDCIiIpppgizL8mzt3G63Y8eOHejo6IBOpwv4nYiIiIgmZ1a/Ls1qtSInJ0ct7Px/JyIiIqLJmZViz2KxQBAEdHR0YM+ePQG/ExEREdHUmNVpXCIiIiKaXrM6jUtERERE04vFHhEREVEUY7FHREREFMVY7BERERFFMRZ7RERERFGMxR4RERFRFJuWYs9ut6tfNSZJEgoKCtTvsZ1J3nEQRTv/76wOd918I0kSvve978HhcExoHRHRXDWhYs9sNkMQhFkp3KaaxWKB2Wy+p22VAlb53l1BEJCamgpRFEOu986bKIpITU0NWO/fD81dygeF+z/24WyjfI+zwm63j3muKOfb+vXrER8fD7vdjsTERDidzjHXRQL/PNlstnHbx8TEhGzvdDqxcOHCoOslSUJhYSHWr1+PuLg4tLS0IDExEQ6HY8x1RERzXdjFniiKuHr1KjZu3Air1TqdMc0ZtbW1kGUZsiwjJycHu3btCrneZrNh7dq1sFgs0Ol06OvrgyzLcDgcSE9Ph8PhgCzL6Ovr49fFzXFOpxN//OMf4fF4IMsyamtrsWPHjpBFvFL8S5KE/Pz8gPUlJSXqeaT8VFRUqF8tqNFo0NbWhn379uGdd97BtWvXcOvWLWRlZY25brYpeRoZGVHzVFVVBbfbPWb74eHhoO1FUURpaSl27dqlPueeffZZtWDTaDQ4c+YM9u3bh3fffRfXrl3DZ599BpPJNOY6IqK5Luxir7OzE3FxcXjxxRdx9epVnzcup9OJxMRECIIQctRgcHBQHc3yb+M/Epaamgqn04lHHnkEr7322rgjZ8q6cOJQtq2pqcHhw4d9RlJC9RuO0tJSuFyukFPGJSUlsNlsaGxs5MhdlMvKysKxY8eg0WgAAHl5eYiNjcXg4GDQ9krxX11dHVb/TqcTH330EaqqqgD87bzduXMnvvvd7yItLS1gZC/Yutmm5Emr1QK4m6f77rsvZJ7Ga9/Z2QkAKC8vBwDk5uYiMzNTLQaV0budO3fiO9/5DtLS0rBw4UKfkb1g64iI5rqwiz2r1YqioiJkZWUhLi4OR44cAXD3BXTnzp3YvXs3ZFnGlStX0NTUFLD9rl270NzcDFmWUVxcjPr6enXdiy++CIPBoI5abNu2Dc8//zwGBwfR1NQEt9vtM+IVrH1ZWRm2b98+bhzKSEdtbS0qKiogyzKqq6shSRLWr18f0G9OTs64xZkkSaivr4fBYFDf4IPJzs4G8Lc3JZofXC4XvvrqKyQlJU1Jf/X19XjsscfU0TnlnD5x4gSGh4dRUlISMLIXbF2kcblcuH37dth58s9rd3c3li1bphaDiu7ubsiyrI7enThxAiMjIyguLsatW7d8RvaCrSMimuvCKvaUkYS8vDxoNBoUFRWhtbUVkiSht7cXIyMj2LRpE4C7oxQNDQ0BfTQ1NalvMN6jYP6jFACwadMm3L59G19++SUaGhp8pjVDtR8eHsYXX3wxbhyhKMexZ88en34TEhJCjjTU1NRAEARotVoUFRXh0KFDYe+P5gflD4Ft27ZNyfS8KIro6OhAaWlpwDqNRoNjx44FLeTGWhcJJElCQ0MDtm3bBr1eH3b7F154IWR7jUYDg8EQdPnbb78dtJAbax0R0VwVVrHX3t6OpUuXwmg0Arg7fXLjxg309vbC5XJhaGhoUkEMDQ3BZDKp06d6vR79/f0Tat/T04Mvv/zynmMIdhxarRZxcXFwuVxBt1GuyeP0LIXy4osvAgCef/75KenvyJEjSE5ORm5u7pT0Fyl++MMfQpZlbN26dcraS5IU8rlLRDSfjFvsSZKE1tZWnD17FlqtFoIgwGQyoaenB+3t7TAYDEhISJhUECkpKXC73T4XoH/yySeIj48Pu/2HH344qTiCHYfH48HIyEjQ0QFvubm5SE5OVqe2Q1Gmb5XpXIpuZrMZLpcLJ06cGHN6P1yiKKKxsRFVVVVT0l+kqKysxM2bN/Huu+8GTMFOpH1GRgauX78Oj8fj0z4jIwOCIEx53EREc8W4xd758+fR1dWl3i2q/Dt6RmwAACAASURBVNTW1qKxsRHA3ZE2pdBxOp2orKwMOwCj0ehzDeC9tk9KSppwHN43VCj9et9Re+TIEcTFxakjmqFoNBpUVVWNObqnxDNV03kUuZSbIkIVesr6iX70j3JuR8sfC8pNEaEKPWW92WyGLMvjtve/Jvb8+fMYGBjglCwRkTyOiooKuaKiImC52+2WU1JSZJvNJjscDjkhIUEGIKekpMgtLS1yWVmZ7PF4ZI/HI+fn58s2m03d1mazyfn5+bLH45FlWVbbAFB/Hn74YXnp0qU+2ymCtc/Pz5cvXrwYMg5/3jHX1tb6HJN3n8G2VfavbOefj2DxJSQkyA6HI2gc6enpQdfR3GSz2Xwee+VHeR4p54fyu/95p/wEO7+8l811NptNFgQhaJ5GR0dlj8cjFxQUqL+P116W7z6fEhMT1edcZ2fnLB8lEdHsE2RZlqe/pCQiIiKi2cDvxiUiIiKKYiz2iIiIiKIYiz0iIiKiKMZij4iIiCiKsdgjIiIiimIs9oiIiIiiGIs9IiIioijGYo+IiIgoirHYIyIiIopiLPaIponFYoHFYpnx/YqiiEceeQROp3PG930vZjNPjz76KBwOx4zvm4hoJrHYI5oGoiji2LFjyMvLAwA4nU4kJiZCEAQIggC73T7m9haLRW2bmpoKURRDtvEvlHQ6HTZu3Ij29vapO6BpIooijh8/jtWrVwO4m6eFCxeqx26z2cbc3mKxICYmRs2T2+0OaFNXV4eYmBjU1tbC+9shlTydO3cO/NZIIopmLPaIpkFnZyfi4uJgNBohiiI2bNiA3bt3Q5Zl2Gw2VFZWhhx5E0UR3d3d8Hg8kGUZOTk52LVrl8/61NRUSJKE/Pz8oH1kZGSgtbUVkiRNy/FNlc7OTmi1WjVPpaWl2LVrl5qnZ599NuTImyiK6OnpwfDwMGRZxhNPPKHmWFmflpYGj8eDvLw8CIIQ0Ed6evqcyBMR0WSw2COaBlarFQaDARqNBp2dnQCATZs2AQByc3ORmZkJl8sVdFudToc333wTGo0GALBixQq4XC61INHpdOjr60N1dXXI/WdnZ2NkZAS9vb1TeVhTrrm52SdPsiyjvLwcwN/yFGy0Dribh4MHD0Kr1QIAli9fHpCna9euobq6OmihB9zNk8fjifg8ERFNBos9oikmSRJcLhdWrFgBAOju7kZycrJalCi6u7vH7UsURTQ2NqKoqEgt/sKh1WoRFxcXsqCMBN55EgRh0nk6cOAAioqKArYfi5KnUAUlEVE0YLFHNMU8Hg8GBgaQkZERdL1Go4HBYBizD7vdDkEQoNfrkZOTM+Yo3lj7CKdQmi1TlaeYmBjo9XqsXLkSL7/88oRi8M4Tr9sjomjFYo9ohikjWmMpKSmBLMuQZRkrVqwIeZNGNAs3T6Ojo2qe0tLSOEpHROSHxR7RNMvIyMDAwAA8Hk/A8nDk5eUhNjYWg4OD0xFexJiKPN13331RnycioolisUc0xbRaLZKTk9Up1OzsbABQb9Q4f/48BgYG1OWSJKGgoABmsxnA3Y8f8Z62bW9vx1dffYWkpKSwY1BGxcItlGZDsDwJgqDefavkyWQyAbh7TIWFhTCbzZBlWc2TMv3a3t6O27dv33OeQt3EQUQ018XOdgBE0Ua5Duzy5csA7t4V2tzcjMLCQgwNDSEhIQFnzpyBTqcLur3RaMTHH3+sFh/+7UVRRE5ODvr7+wEAZ8+eRU1NDWpra9Ui0ePxYGRkZNxr3maTd55kWYZOp4PVasWaNWtw69YtJCQk4PTp09Dr9UG3NxqNuHz5MmJi7v7N6t9eFEU88cQT6OvrAwC0tbWhpqYG+/btU+/QVfIUah9ERNFAkHlVMtGUs9vtqK+vx4kTJyZ0F+1U7n/Hjh3o6OgIWVRGAiVP77777oTuop3K/VdVVeHixYss+IgoanEal2gazPbn3FmtVuTk5ER0oQfM/ufcNTc3Y+XKlRGfJyKiyWCxRzQNZvMry0RRxNWrV1FVVTXj+54onU6HsrIynDt3bsb3reRpx44dvF6PiKIap3GJiIiIohhH9oiIiIiiGIs9IiIioijGYo+IiIgoirHYIyIiIopiLPaIiIiIohiLPSIiIqIoxmKPiIiIKIqx2CMiIiKKYiz2iIiIiKIYiz0iIiKiKMZij4iIiCiKsdgjIiIiimIs9oiIiIiiGIs9IiIioijGYo+IiIgoirHYIyIiIopiLPaIiIiIohiLPSIiIqIoxmKPiIiIKIqx2CMiIiKKYiz2iIiIiKIYiz0iIiKiKMZij4iIiCiKsdgjIiIiimIs9oiIiIiiGIs9IiIioijGYo+IiIgoirHYIyKa45xOJxYuXAhBECAIAmw225jt7XY7YmJi1Pa1tbWQZTno+sTERDgcjuk+hBlTV1eHmJiYgGMOxul0YtGiRWqeTp06pW7T0tKCBQsWqOuUn9TUVLhcrpk4FKKwsdgjIprDRFFEaWkpfvzjH2N0dBQ2mw3PPvtsyAJNFEW89tpruHTpEmRZhsPhwL/+67/C6XQCuFvobdmyRV1/6NAhlJWVwe12z+RhTTlRFGE0GjEyMoL8/Pyw2peVleGVV17B6Ogo7HY7vv/976t5LS4uxp07dyDLsvpjNpuRk5MDvV4/3YdDNCEs9oiI5rDOzk4AwKZNmyAIAnJzc5GZmRlydGlwcBAAkJSUpP4bHx+vru/p6cGDDz4Io9EIADCZTEhISFC3m6t0Oh16e3tRU1MTVnuHwwFZllFeXg5BELBq1SpkZWXB7XYHHRF0Op346KOPsGPHDgiCMNXhE00Kiz0iojmsp6cHy5Ytg1arDVgerCjJysrCN7/5TTzxxBPo6elBRUUFysrKkJWVBQBIT0/H9evX4fF41G2GhobgcrnGnfaMJt3d3UhOTg7Ia3d3d9D2DQ0NePTRR9U8EkUSFntERFFEo9HAYDCM2aapqQlPPPEEvvGNb0CWZWzdulUdjSopKUFOTg6WLFkCQRCwfPlyLFiwYCZCj2gajQZ6vT7oqJ0oiviv//ovbNiwYRYiIxofiz0ioigiSdKYNwiIooi0tDT8/d//PUZHR/Htb38bKSkpPtf4NTU1YXR0FLIs48qVK7hz585MhB7RJEkKOYV79OhRLFu2DKtWreIULkUkFntERHNYsGlXZXmwwkMpTHJzcwEAW7duRWZmJs6dOxe0kFGKwOzs7HlVyGRkZGBgYCAgrxkZGT6/i6KIAwcOYPv27QFTvkSRgsUeEdEclp2dDeBvN2qcP38eAwMD6nJJklBYWAiz2QxZlgOKw97eXnR1dQUtDkVRxI4dO/CDH/wAOp1uBo9q5vnnyWQyQRAE9UaNCxcuoL+/X12uOHr0qE97okgUO9sBEBHRvdPpdLBarVizZg1u3bqFhIQEnD59OuTHf5SUlKC5uRlLlixRR/L27duHkpISAHfvKlX6UtZVV1fP+UJGFEU8+eSTuHbtGgCgra0NO3fuVI/Pn06nw/Hjx/HUU0/hs88+Q0JCAj744AOf6yGVUb0f/OAH/LgVimiCPJ9uryIiIiKaZziNS0RERBTFWOwRERERRTEWe0RERERRjMUeERERURRjsUdEREQUxVjsEREREUUxFntEREREUYzFHhEREVEUY7FHREREFMWmpdiz2+0oKCiAJEmQJAkFBQWw2+3Tsauw4yAimsvq6upgsVgw0196JIoiHn30UTgcjhnd772azTw99thjcyZPNL9MqNgzm80QBGFWCrepZrFYYDab73l7JRfKT2pqKkRRnFRMZrPZpzgNFqN/m8lQCvFQxxFsvffjL4oiUlNTA9ZPVT6I6C5RFHHs2DGsXr0agiDA6XRi4cKF6vPNZrOF3FaSJBQWFvo8PysqKgKKobq6OsTExEAQBCQmJqpFi06nw8aNG3Hu3LkZL6AmKlieFi1a5JOn8Y7BPw+dnZ1hrdfpdCgrK5sTeaL5J+xiTxRFXL16FRs3boTVap3OmOaM2tpayLIMWZaxbds25OTkTKrAOXToENra2qDRaCbVZqK8jyMnJwe7du0Kud5ms2Ht2rWwWCzQ6XTo6+uDLMtwOBxIT0+Hw+GALMvo6+uDTqebshiJ5rPOzk7ExcXBaDRCFEWUlpbixz/+MUZHR2Gz2fDss8+OO6J06tQp9Xl8+PBhCIKgrqurq8N7772H4eFhyLKMW7duwWQyqeszMjLw/vvvR/wsicPh8MlTWVkZXnnlFYyOjsJut4+bp7q6OrS2tvrkITs7O2D9F198EXS9kiePxzOtx0k0UWEXe8qLzYsvvoirV6/6FDVOpxOJiYnqXzpOpzNg+8HBQXUUyL+N/whSamoqnE4nHnnkEbz22mvjjjgp68KJQ9m2pqZGfcGzWCxj9huOTZs2qXkKpy+LxaKuU2I1m80wm81jxqi08f+/9z4nczylpaVwuVwhX9RLSkpgs9nQ2NjIkTuiGdLc3Ay9Xg+NRqO+xmzatAmCICA3NxeZmZlwuVz31LcyGrZ3715otdqgbUwmE0ZGRtDb23vPxzATrFarmiflD8/y8nIIgoBVq1YhMzMTbrc76Mibkoc33ngjaB5EUcTx48fxxhtvIC4uLuj+TSYTPB4Prl27NuXHRjQZYRd7VqsVRUVFyMrKQlxcHI4cOQLgbkGxc+dO7N69G7Is48qVK2hqagrYfteuXWhuboYsyyguLkZ9fb267sUXX4TBYPAZJXv++ecxODiIpqYmuN1un5GiYO3Lysqwffv2cePQaDRoa2tDbW2tOpVRXV0NSZKwfv36gH7DHa0bHBxEbGwsDAbDuH05nU4cO3ZMfdG5desWsrKyxo3RX2lpKTo6OtT4ent7cePGDeTl5YXM0+bNm0MWcpIkob6+HgaDYcyRQ+UvWf/pDSKaepIkweVyYcWKFQCAnp4eLFu2LKAg6enpGXP6cN26dQFTtMDd167h4WG1KAo2zavVahEXFweXyxWxU5RKnpYvXw4A6O7uRnJyckBh1t3dHXT78fIwODiIL774Ys7nieansIo9p9OJjz76CHl5edBoNCgqKkJrayskSUJvby9GRkbUkS2dToeGhoaAPpqamtSCxnv0SOm7qqpKbbtp0ybcvn0bX375JRoaGnymA0O1Hx4exhdffDFuHKEox7Fnzx6ffhMSEjA4ODju9vX19Vi6dCmMRmNYffX390+6WPIvutrb29UYQuUp2F/nNTU1EAQBWq0WRUVFOHTo0KTiIqKp4/F4MDAwgPT0dJ+pV4VGo4HBYAi5vUajwZkzZ9Q/+l599VWUlZXB7XYDAFwuF4aGhnD06FH1kozW1lbY7Xa1YFH20dPTMz0HOQU8Hg+uX7+OjIyMoOuVYwiWQwBwu90YGhrCkSNH1Dy8//77ah7GW6/sQ6/XR3SeaH4Kq9jzLiIAIC8vDzdu3EBvb6/6QjEZQ0NDMJlM6l9Ler0e/f39E2rf09ODL7/88p5jCHYc3n+lBaMUSYIgwOVy4cSJE9BoNOP2lZWVhTNnzqCystJninaidDodcnJyYLVaIUkSWltbUVVVpY7KhZtX5Zo8Ts8SzT3KiFa4ysvLAfiOzMfHxyMpKQkAYDQakZmZGXUFi5KnsUbcguXBeyRwvPVEkWrcYk8pIs6ePQutVgtBEGAymdDT04P29nYYDAYkJCRMKoiUlBR1SlP5+eSTTxAfHx92+w8//HBScQQ7Do/Hg5GRkZB/NXvfuOB900Q4fWVlZeHWrVtwu91obGy85zucq6qqcPXqVVy8eBEjIyM+FwsHy5P/lLG33NxcJCcnq1P0oShvEt77IqKZkZ6ejuvXrwfcBBBq5M+f9yUnwN3Xq9jY2LBmMOaSjIwMDAwMYGRkJGB5MHq9HrGxsfj000/vaT1RJBu32Dt//jy6urrUi12Vn9raWjQ2NgKAOrQN3J1mraysDDsAo9Hocw3gvbZPSkqacBzeNyIo/XrfiXrkyBH1zq6JmEhfWq0WycnJYcU41r5ef/11fPOb31SnvCeaV+DuFERVVdWYo3tKXrdt28a7bYlmgPIaoVyT53/5xvnz5zEwMKAuVz5qxWw2Q5Zl1NTU+Fyj19DQgCVLlqivRUajEUuXLlU/MkR5zVc+vkTp0+VyIT09fSYPfUK0Wi2WLVumjrQpsxrKe9eFCxcwMDCgLvfPk5KH9vZ2tb3T6VTzYDQa8fWvfz3keuBuntxud0TnieYpeRwVFRVyRUVFwHK32y2npKTINptNdjgcckJCggxATklJkVtaWuSysjLZ4/HIHo9Hzs/Pl202m7qtzWaT8/PzZY/HI8uyrLYBoP48/PDD8tKlS322UwRrn5+fL1+8eDFkHP68Y66trfU5Ju8+g22r5EXZLpix+rLZbD6xK/n1z3WwGIM9HrW1tTKAgFyFypN/3r2Pw/txDbZ9QkKC7HA4guYzPT096Doimhyz2SxXVFTIo6Ojsizffb4lJiaqz8nOzk61rcfjkQsKCtT2NptNFgTB5zVgZGTEp3/v/gDIp06d8lnvdrvlRx55xGc/kShYnhYuXKjm6dKlS2pb/zz5twcgnzx5Ul0Xznq32y0/+uijEZ8nmn8EWeYtQ0REkcxut6OhoQHvvPNOyI9HmU4tLS3YsWMHLl68CL1eP+P7D1dLSwvq6+tnPU8XLlwY86YZopnG78YlIopw2dnZs/o5d1arFStXroz4Szdm+/MAlTxFckFM8xOLPSKiCDebX1mmfHvSjh07wroBZDbNdp4++eSTOZEnmn84jUtEREQUxTiyR0RERBTFWOwRERERRTEWe0RERERRjMUeERERURRjsUdEREQUxVjsEREREUUxFntEREREUYzFHhEREVEUY7FHREREFMVY7BERERFFMRZ7RERERFGMxR4RERFRFGOxR0RERBTFWOwRERERRTEWe0RERERRjMUeERERURRjsUdEREQUxVjsEREREUUxFntEREREUYzFHhEREVEUY7FHREREFMVY7BERERFFMRZ7RERERFGMxR4RERFRFGOxR0RERBTFWOwRERHRtJIkCeXl5XA4HJBlOex1840kSdi0aRM6OzuD5inUuvGw2CMiIppn6urqEBMTA0EQIAgCTp06FbKA6OrqwqJFi4K2bWlpwYIFC9R1yk9qaipcLhckScKaNWuwfv16aLVatLS0YNGiRejs7BxzXaQUffv37/c5vpMnT44ZW1dXFxYvXhy0fUtLC2JjYyEIAhITE3Hp0iV1nSRJeOqpp7B+/Xp87Wtfw3vvvYfFixfj0qVL8Hg8IdeFnSeZiIiI5g2n0ylv3LhRHh4elmVZli0Wi5yamirfvHkzoK3b7ZbT0tLkffv2yaOjo7LdbpcXLlwoX7p0SR4dHQ3af2VlpVxRUSHfuXPHZ58LFy6UN2/e7LN8vHWzyel0yt/73vfUPNXV1clpaWnyjRs3grZ3u92y0WiU9+7dK9+5c0fN1f/8z//INptN/b+Sx2B9OZ1OedGiRfLmzZvlr776Kux14+HIHhER0TySmZmJt99+G3FxcQCAvLw83HfffRgcHAwYKXI4HACA8vJyCIKAVatWITMzE263O2jfXV1d+Oijj7B9+3YIgqCO3tXU1GD9+vUwGo1YvHixz8hesHX+ccyGzMxMHD16VM3T6tWrERsbi08//TRofMo0dHl5OWJiYrBq1SpkZWXB7Xajp6cHDz74IIxGIwRBgMlkQmJiotqXMrJXU1ODdevWwWg0QqfT+YzsBVsXbp5Y7BEREc1jLpcLt2/fRlJSEgRB8FnX3d2NZcuWQavVBiwPpqGhAY888giysrIgCAI0Gg1Onz6NEydOwOPxoLi4GH/+85+RnZ095jr/OCKBy+XCV199pU7T+uvp6Qmaq56eHhiNRly/fh0ej0ddPjQ0BJfLBQDQaDT44IMPcOLECfz1r3/Ft7/9bXz66ad46KGHoNVqQ64LN0+xkzhuIiIimsMkSUJDQwN+8IMfQK/Xj9teo9HAYDAEXSeKIjo6OmCxWAKKEI1Gg6NHj4bsM9S6SCFJEn71q1/h+eefDytPgG+uiouL8e677+LrX/86ZFlGQkICEhISgm5z5MiRkP2FWjcejuwRERHNUy+99BJGR0exdevWsEaJJElSR6P8HT16FMuWLUNubm5EjsxNxksvvYQ7d+7gueeeQ0xMeKWTf67+/d//HaOjo5BlGVeuXJnRqWoWe0RERPPQli1bcOPGDbzzzjvqdWn+MjIyAqYfleXeRFHEgQMH8NJLLwVMY851Sp5+//vfIz4+PmS79PT0oLlKT08PKH6V6/tMJtOMFMYs9oiIiOYR5caIYIWess5sNmN0dBQmkwkA1JsmLly4gIGBgYAi5ejRo5BlOWKvt7sXyk0ToQo9Zb13rgRBUAu5CxcuoL+/PyBXoijiRz/6EbZu3Rr2lPBk8Zo9IiKieeTChQs4e/YsRkdHfQqYzZs341/+5V982up0OlitVqxZswafffYZEhIS8MEHH/gUKcqoXrjX/c0VSp7u3LmD+++/X12+efNmNDU1BbTX6XQ4fvw4nnrqKfz5z39GQkIC3n//fRgMBnR1danLAWDv3r2orq4Oe0p4sgQ5Eu5vJiIiIqJpwWlcIiIioijGYo+IiIgoirHYIyIiIopiLPaIiIiIohiLPSIiIqIoxmKPiIiIKIqx2CMiIiKKYiz2iIiIiKIYiz0iIiKiKDYtxZ7dbkdBQQEkSYIkSSgoKIDdbp+OXYUdBxEREf1NXV0dLBYLZvKLtERRxGOPPaZ+1+5csH//flgsFoyOjs7YPkVRxLe+9S1cunRpSvI0oWLPbDZDEIRZKdymmsVigdlsvuftlVxYLJYp7Xcswfo2m81TVtAqhbkgCOpPamoqRFEMud77fBBFEampqQHr/fshIqLZJYoijh8/jtzcXHR1dWHRokXq6/WpU6fCKjC2bNmCmJgY7Nu3z6d9XV0dFixYoL72u1wudZ1Op0NZWRnOnz8/Lcc11bzzJAgCurq6sHjxYjVXJ0+eDCtXzz77rJorpWjcv3+/mqeUlBTcvHlTba/k6cKFCzNb7ImiiKtXr2Ljxo2wWq2T3nE0ePzxx9HY2DirRcyhQ4fQ1tYGjUYzZX3W1tZClmXIsoycnBzs2rUr5HqbzYa1a9fCYrFAp9Ohr68PsizD4XAgPT0dDocDsiyjr68POp1uymIkIqJ753A4oNVqodFoUFZWhldeeQWjo6Ow2+34h3/4B/W1O5SWlhb87//+Lx566CEIgqAuF0UR3d3d+Mtf/gJZlvHkk0/i1Vdf9RkVy8jIwPvvvw+PxzOtxzgVlDylpaVhcHAQZWVlqKmpwZ07d2C32/Hcc8+NO0oZLFf+ecrNzcVPfvIT3LlzR90uPT0dH3zwwZTkKexir7OzE3FxcXjxxRdx9epVnwLH6XQiMTERgiAgMTERTqczYPvBwUF11Me/jf+IUWpqKpxOJx555BG89tpr444wKevCiUPZtqamBocPH/YZnQvVbyhr1qxBcnJyQDE01nEp/dnt9oDRL7PZ7HMMyqjZWDGbzWZ1tM/7/977v9fjA4DS0lK4XK6QI4clJSWw2WyzXvQSEVH4mpubodfr0dPTA1mWUV5eDkEQsGrVKmRmZsLtdofcVpIkNDQ0oKqqCvHx8T7rdDodDh48iLi4OADA8uXL4Xa7fd5DTCYTPB4Pent7I34qt7m5GTqdDlqtVi2Ay8vLERMTg1WrViErK2vcXP3qV7/C9u3bcf/996vLdTodfvOb38xYnsIu9qxWK4qKipCVlYW4uDgcOXJEPZCdO3di9+7dkGUZV65cQVNTU8D2u3btQnNzM2RZRnFxMerr69V1L774IgwGgzpatG3bNjz//PMYHBxEU1MT3G63z8hQsPZlZWXYvn37uHFoNBq0tbWhtrYWFRUVkGUZ1dXVkCQJ69evD+g3JycnZBGj0Wiwb98+fPTRR0ELy2Bxbt68Gb29vfinf/on9cRRYtmzZw8OHDiA69evq8uVPAWL2V9paSk6OjrUeHt7e3Hjxg3k5eWNGU+oQk6SJNTX18NgMIw5cpidnQ3g7h8EREQU2SRJgsvlwvLly9HT04Pk5GRotVqfNt3d3SG3f/PNN6HX61FcXOwzqudPFEUcOHAATz31lE//Wq0WcXFxYxZJkUCSJLjdbixfvhwA0NPTg2XLlgXkSimYg/ntb38LnU6HkpKSkLlS8rRmzZppy1NYxZ7T6cRHH32EvLw8aDQaFBUVobW1FZIkobe3FyMjI9i0aROAu9VqQ0NDQB9NTU3IysoC4DtapPRdVVWltt20aRNu376NL7/8Eg0NDT7Tf6HaDw8P44svvhg3jlCU49izZ49PvwkJCRgcHAy5XVZWFh577DHs3LnTp2gKFefIyAg6OjoAAElJSQDuDmm7XC5otVq8+eabamGVl5eHkZGRsIdw/Yuu9vZ2LF26FEajccx4ent7ffqpqamBIAjQarUoKirCoUOHwto/ERFFPo/Hg4GBAWRkZASs02g0MBgMIQuTrq4uHD9+HK+//jpiYoKXEC0tLViwYAH0ej2+9a1v4eWXX/bpT9nHWAVlJFDylJ6eHjQfGo0Ger0+5PZdXV04duwY/t//+39Bc9XS0oLY2Fjo9Xo8+uijePnll33aKXkaq5gMV1jFnnfRANwtQm7cuIHe3l64XC4MDQ1NKoihoSGYTCZ1elGv16O/v39C7Xt6evDll1/ecwzBjkOpqr0vLg1mz549GBgYwMGDB8M6rsWLFwOAWkRarVZ19MxisajtTSbThHKr0+mQk5MDq9UKSZLQ2tqKqqoqtXgMN8/KNXmcniUiml+UUb9gxYUkSXjllVfwk5/8ZMwip7i4GHfu3IEsy8jMzER6evq476NzkTLyF2rdj3/8Y7z66qswGAxB2xQXF+Orr76CLMswmUz4xje+4XOTxlQat9hTioazZ89Cq9WqRUhPTw/a29thMBiQkJAwqSBSUlLgCbMSWQAAIABJREFUdrvV6UVZlvHJJ58EXAswVvsPP/xwUnEEOw6Px4ORkZGQD5RCGUX0L4yCxXnr1i3odDr09/erhVdHRwf27NkDu92OxsZGdRuHwzHhY6qqqsLVq1dx8eJFjIyMqKN9Y8WjjLj6y83NRXJysjplH4oykui9LyIiinwZGRkYGBgImEEKNuqnjHStW7cOMTEx0Gq1OHPmDHbu3ImCggKMjIwEbJOXl4f77rsPg4ODEX993njS09Nx/fr1gFwFG/lTcrV+/Xo1V6dPn8bOnTtRWFiI4eFhn/arV6+e1jyNW+ydP38eXV1d6vVlyk9tbS0aGxsB3B0xUgoCp9OJysrKsAMwGo0+1wDea/ukpKQJx+F944HSr/fNFkeOHEFcXJw6ojkWpTBSboYY67hcLheKi4vVXIa6U7W+vj5gZG+smyW89/v666/jm9/8ptrvRPMM3B1CrqqqGnN0T8nztm3beLctEdEcoNVqkZycjO7ubnXQQXmPv3Dhgs9ghCRJWLNmDcxmMxYvXqzeLCDLMjweDwoLC7Fv3z60tbUhLi4OXV1dqKmpUe++bW9vx+3bt5GUlKQWRMroYbCCMpIoeVKmUcPJ1VNPPQWz2YxFixahp6cHo6Ojaq7WrFmDffv24cyZMxgYGPDJ07lz50LmKdQ08kSMW+xZrVYUFxcHjP4o18a5XC40Nzfjl7/8JQRBwIYNG3D48OGwR6Q0Gg1OnDiB1tZWnztTn3nmGdy+fTvs9ps3b0ZTU1PYceTl5aGrqwtarRYWiwUajQZvvfUWOjo61D5bW1tx4sSJsD7WRLlZQ9lfqDgLCgqQm5sLAEGX5+TkQK/XQxAELFy4ECkpKSFjDhVHUVER/vu//xulpaXj5m28z+gLdvOFck2fIAgoLCzEmTNngt4wQkREkUe5FuzKlStISkqC1WrF97//fcTExMBsNuPYsWNjTtOOJS0tDZcvX0ZsbCwEQcAvfvGLgP6UWbN73cdMUa7Ju3LlCoC7s3jHjx/Hc889p+bq6NGj487+BZOWloYrV66oeXr99dcD+prKPAnyXB9XnYMsFktAIWk2m7FixQoWTURENO1aWlpQX1+P3//+9+rHf8zkvquqqnD+/Pl7KpRmUktLCxoaGmC1WkNeWjad+66qqsK5c+ewZMmSSfXF78adBZcvX/b5OBNlqJaIiGgmzOZn3TU3N+Pxxx+fE5f+KHm6du3ajOfp97///ZTlicXeLPj1r38Nl8ulToUqH3HCUT0iIpoJs/W1Zcq3cW3fvn3S16HNBO88zfR3CF+9ehUvvfRSyI+4mQhO4xIRERFFMY7sEREREUUxFntEREREUYzFHhEREVEUY7FHREREFMVY7BERERFFMRZ7RERERFGMxR4RERFRFGOxR0RERBTFWOwRERERRTEWe0RERERRjMUeERERURRjsUdEREQUxVjsEREREUUxFntEREREUYzFHhEREVEUY7FHREREFMVY7BERERFFMRZ7RERERFGMxR4RERFRFGOxR0RERBTFWOwRERERRTEWe0RERERRjMUeERERURRjsUdEREQUxVjsEREREUUxFntEREREUWzaiz2z2Qyz2Tzdu6FZMNZjK0kSCgoKYLfbp6xPIiIimrhxiz3lTVsQBPUnNTUVoije0w7NZjMKCgogSdI9bT8ZZrMZgiDAYrH4LLdYLNNSYIyXu2DrBUHwKZBEUURqampAm8k+DtNhNh/buchisQQ9H8dqG+pxdzqdSExMDHoOzXUWiwUxMTGora2dcHtZln3W2e12xMTEQBAEJCYmwuFwTEfIs6Kuri7kcYdSWVk55jbjrZ+LJpInpa3yvHO5XJPqby6pq6vDggULsG/fvrDytGDBAvX159SpUwHbeLdJTExEZ2dn1ORr//79aq5GR0cn1VZZr+Tp0qVLU5KnsEf2lBPZ4/EgOTkZu3btuqcdHjp0CG1tbdBoNPe0/WQ9/vjjaGxsnNEiScmdLMvIyckJyJ33epvNhrVr16oFgE6nQ19fH2RZhsPhQHp6OhwOB2RZRl9fH3Q63Ywdx3hm+7GdK5QCXpIk5Ofnh9W+u7sbHo8n6DkkiiI2bNiA3bt3q+dQZWUlnE7ndB7GtBNFEWlpaZAkCXl5eRAEYVLt7XY7tmzZor54NjU1oaysDG63ezoPY9opxz0yMhJWnhR2ux1Xr17FQw89dE/r5xpRFP9/e3cf28Sd5w/8PYH+Z4eVHCC2xal5cCKkg+ah7ba9sECeWC5pF+l4KJGwQ7UNW1pKtgnlYR/+OLZH1DhAqt0gKLpNWm0KhN0F4gAllIdVTkIssXPlVJoYCHfUnnCHtxvP/HG6Jf7+/uA333r8OA7Og83nJUWIefjOzNszno+/M2PDYrHA7/cndNyNj4+DMYZly5Zhz549/MSbaHupIni7tOxPQ0NDuH79Or799lswxtDW1ob33ntPdVzt378f586d49M8fPgQpaWlmvfV2UoURRQUFGB8fDxuVlqmPXDgAM6ePYu//OUvPKfnn38+KTklfBlXp9Nh9erV8Hg8vAcntIcqVo9T6GW6SPO+9tprEadRCqBoywvu/cjKyop4squuro5brEZr3+FwhPWuJdojuG7dOlV2oWpra9Hb25twQRot17a2tqjbI4oiXnzxRezdu1dz9omsQzCHw8FfE637S6xtSmVKAd/U1KR5+iNHjvAieunSpap9aHBwEABQV1cHAFixYgWKiooi9kKkEqPRiNu3b6OpqUnTm1286UdGRvDcc8/BYrEAAEpLS2EwGDA2Npb0dZ9OynY3NzdrPinIsoz29nY0NjZi3rx5YfPFG5+KjEYj3G43mpubNU9/+PBh6PV6AI+PO6/XC0mSwtpLh3wUiW5XUVERjh07hszMTABAeXk5nnnmGYyNjYExBlEUceLECbS0tPAs04XRaMTIyAiam5uRkRG7nIo3bXBOSpbJlHCxJ8syzp07h9WrV/OTz9tvvw2z2cx7p7Zu3YpNmzZpupwXad7/+I//wMDAAC8A3G437t+/j/Ly8qjzVFVVobu7G16vl1fExcXFYcvT6XRobW3FtWvXovZ8RGr/Rz/6EX7xi1/wXjW73Q6r1Yqurq6Esjt48CDMZnPM3q/S0lIA353EtVi3bl3UzGK9Pj6fD52dnfB6vbhz5w4aGhpiZj8ZDocD9fX16O/vR3Fxseb9JdY2Pa1EUURHR4fq+BseHkZOTk7YG+nw8PBMrOKsVVBQgHv37vGTNQD4fL6UL4on48iRIzCZTKitrZ3U+KeNKIo4dOgQVq1alXYFS7J5PB48evQI2dnZEAQBDx48wPj4OOrq6vglcavVGvdy59MmOCflMu6mTZswMTGRlPY1F3tKla/X6zE0NMRPuC6XC9euXUNjYyOftq6uDn6/H263O2ab0eadN28exsfHebFz6dIlLFq0CBaLJeo8GRkZ+PrrrzUVSMXFxXjppZewY8eOsAIjWvv/+7//y3dgACgsLIzZQxcsOLvVq1cnVCBqFVogKpnJshz39Wlvb+eXgyO189JLL0UsnLVwuVxoamrihV4i+0uy1yWVKb3KJpMJZWVlMXsFdTodzGbzNK5daqitrUVZWRnMZjMEQcCSJUswZ86cmV6taedyuXD8+HHs27cvYs9NvPFPk76+PsyZMwcmkwkvv/yy5l7mp5XSI7xlyxaYTCYAj4s/n8+H7u5uBAIBuFwunD9/Hg6HI23u2UsGJaff/e53mJiYgMvlwoULF5KWU8L37Cn3ulRVVfGeMZ/Ph5KSEn5ZzmQy4e7du5rajTTv/fv38fd///fo6enhPYmNjY28JyPSPF6vF7/+9a9RX1+v6ab3lpYWjI6O4vDhw5rW6T//8z/xf//3f/yST09PT9weutDsJnN5Viuj0YiysrKImSXy+hiNRmzdulXVzrp16ya9Xr/85S/h8/lUw7SuT7LXJZXV1tby42/p0qUxb5WQZfmp7K3SorOzk+d48+bNpH1qThWyLOP999/Hz3/+c34yTmT806ampgYTExNgjKGoqAgWi4WOrRi2bduGQCCAhoYGVVE8b9483tOXn5+PoqIijIyMzOCazk6ZmZlhObnd7ukt9oKVlpZi3rx5fKfPzc3ll0+Vv2iXUUNFm/fAgQO4desW/vSnP8Hv9/NenljzbN68GQ8fPoTX60VHR0fMJxKNRiPa29sjFl+R2r9y5YqqSBkYGEBLS0tCua1YsQI5OTno7u6OOZ3SkxW8zVo0NjZGzCzR16e8vDxq9onq7e3F7t27Vb2oiaxPMtclXZSXl2Pu3Ln8g0dhYSFGR0dVlyeV4SS6yR5nqUySJIyOjuK1117jVxsuXryI5uZmVFVVwev1xhwfuo89TVauXIm5c+fiwYMHM70qs9LmzZtx//59/OEPf1Ddc2Y2m/n7FfXkRWc2m1X3OibbpIq9wcFBjI+Pw2w2w2KxIDMzM24BE0mseZVxH3zwARYvXswvM2pZnl6vR05OTtzlK8VXcC9gtPY9Hg9qamp4cRL8JKzy4EC8hzV0Oh0aGxtj9u65XC7U19dj69atCT9pGymzybw+yjw1NTWq7Cdry5YtAB7fC5no+iR7XVJB6P6kXApXXLp0SXVLQejl7itXrmB0dDTtixhZllFVVQWbzZbwm6MoimhsbMRbb72V9vtUcE7Z2dm4ffs2fx+TJAmVlZWw2+3o7+9HQUFBzPHpfL9a6P7kcrnQ3NzM963Lly/j0aNHWLhw4Qyv6cySZRnV1dWw2WwIBAL8/5EKPQDIz8/HokWLcPnyZQDA1atXMTQ0hJUrV87E6k8rWZaxatUq2Gy2uFcRlJyuXLkCxhjPacWKFcm5dYDFIUkSq6ioYABUf729vTGnqaioYJIkMavVyqxWK5829P+x5rXb7WHLijZPTk6O6v/Bywhett1uVw1zOp3MYDBoWqf169dHXE9l+tBlKsODl+n1ellubi7r7e2NuByDwcCcTmfE18LpdLKCgoKo4xljETOLtj0jIyN8XbS0EynPaK+tskxlfmW77XZ7QvuL1nVJJUoWoceUsp+E7k+heUXaR5T9ON4+lEq8Xi/Ly8sLy6m1tZUx9jiXyspKZrVaWSAQiDl9IBBgTqeTZWVlhQ1PdfG2OzSnYMo4u90eMYt441OJ1+tl+fn5mnOSJIlVVVUxQRD4cXXjxg3N7aWqaNv14YcfqnKxWq1sYmKCORwOlpGRETb9pk2b2MTEBGOMMZfLxebPn8/HnT59OqUzUni9XmaxWPg+EpzVxMQEkySJVVdXM6vVyr755puY0zL2OKcFCxbwcadOnUpaTgJj1K+qRVtbG86dO4dTp07x+/RsNhuWLl2q+Ss0UonD4cD27dsxMDAw4z0fs2ldCCGEkFRDv42r0Zdffql6ICPdb4Lv6elBWVnZrCiuZtO6EEIIIamGij2NfvOb38Dj8fAnSJWvUUnHXj1RFDEwMDArnnydTetCCCGEpCK6jEsIIYQQksaoZ48QQgghJI1RsUcIIYQQksao2COEEEIISWNU7BFCCCGEpDEq9gghhBBC0hgVe4QQQgghaeypLfZsNpvqt2xD/0/Ik2pra1P97vJ0EUURL774Ilwu17QvezJmMqfvf//7cDqd077sydi/fz/a2tqm/cfkKSdtRFHESy+9lDI5ATOTlZLT4ODgtL9Gk3XgwAG0tbUhEAhM2zJFUcTLL7+MGzduJCWnKSv2bDYbKisrIctyUtpra2t7omIs2etDSCyiKOL48eMoLy8HALhcLmRlZfEv5XY4HDHnb2tr49NGmj7WeKPRiA0bNuDSpUvJ37AkE0URJ06c4D+K7nK5MH/+fL5dvb29Medva2tDRkZG1OljtafkdPny5Vl/0lH2p5UrV0IQhIRz2r9/P88pLy8PXq9X8/hUz2nBggWqnGJtQ2gOkX4lSZnGbrer2jIajVi/fn1K5AR8d+ytWLECQ0NDqpzOnDkTN6c5c+ZEzamvr4+Pz8rKUhV2Sk5XrlyZ0u1LluCcBEHA0NAQFi5cyLM6ffq0ptf7jTfeQEZGBlpbW3nRGKstJaerV6/O7mKvq6sLFy9e5D8vNtNm2/qQ9DY4OIjMzExYLBaIooi1a9di9+7dYIyht7cX9fX1UXveXC4Xrl+/DkmSwBiD3W7H9u3bIYqipvEAUFhYiHPnzs36DzeDg4PQ6/U8p3Xr1mHXrl08pzfeeCNqT4mSw/j4OM+hsbGRFyrB7QUCgYjtFRQUpExOwfvTunXrsHPnzqjbFUwURQwPD/Ocli1bxvdFLeOBx/vT+fPnZ31OTqdTldP69evx/vvvIxAIwOFwJJzTnj17VDlZLBb4/X5UVFREbEPJSZKkKdvGZHE6ndDr9dDpdGE5/fjHP4bT6YxYZCg5ffvtt2CM4Qc/+AH27NnDC5i+vj5s3rwZ169fRyAQQFdXF15//XXVB4hUzCk/Px9jY2NYv349mpubMTExAYfDgTfffDNuL2VfXx+++uorPP/88xAEAQD4/hncVkNDg6qtgoICfP7550nJKW6xJ8syNmzYgLNnzyIvL49X6sqJSrlktHfvXl7li6IYdllUlmVUVlbyClaZLlYbwfM1Nzfjk08+gSAI/JJPrDZDJXKZVmn36NGjEbc51rKDe1yC54k2nKSnnp4e/lvKg4ODAIC6ujoAwIoVK1BUVBT1t5WLi4tx/Phx/sGkvLwcc+fOxdjYmKbxAFBaWgq/3w+32z1l25gMJ0+eVOXEGMPGjRsBfJdTaC+UQslBr9cDeJzDM888w3NQct+4cSMEQYjYXmlpKSRJSomcTCZT2P4UvF3R9iej0YjDhw/znJYuXQqPx8MLt3jjAaCkpCQl9qeenh6ek1KsKK//8uXL+esf6cQcKQev18tPtEajEW63G83NzfyEHaqkpASSJOH27dtTt5FJouxTIyMjUXOKRMkpMzMTALBkyRJ4vV6+vwwPD+O5556DxWKBIAgoKSmBwWDA2NgYz13Jye12z/pe0JMnT8JoNEKv16v2qYyMDCxfvhzFxcVRswIe1wofffQR3n33XXzve9/jwyO1FZp7MnPS1LPn8/lgtVpx8uRJMMawe/durF27lhdWPp8PnZ2d8Hq9uHPnTtgP1suyjDVr1sBsNoMxBsYYtm7dirKysrht6HQ6XLx4EXa7HVarFYwxNDU1aWrzSe3atYtvc01NDQ4ePMjHvf3222HLrqqqQnd3N38zefjwIYqLi+FyuXD8+PGw4SQ9ybIMj8eDpUuXAnj85peTk8NPIorh4WFN7Xk8Hjx69AjZ2dmax+v1emRmZkYtAGaD4JwEQUh6TsPDw3j22Wcjtqe8cSo5xXqznmmh+9PIyEjE7VJO2rGIooiOjg788Ic/jHiVI9r44P1ptp6clZyWLFkC4LvjTilKFFr2J1EUcejQIaxatSos51hSISdAndXIyMikj7tIORUWFuLevXuq3iifz6d6L0qF4w54nJPX6+X71GSOvY8//hhGoxG1tbWqDwla2kpmTpov43Z2dvICpa6ujlfqivb29rAiT+F2u+H3+9HS0sKHJdrGZNt8EsHbvG7dOv5p1+Vy4dq1a2hsbFQtOyMjA19//TX/5B3s7t27EYeT9CNJEkZHR1FYWBhxvE6ng9ls1tSWLMs4ePAgtm7dGvHYiDZeWYbWQmkmJDun9vZ2vPXWWzCZTJrbC85ptp6clZwKCgoi9ihpycnhcCAjIwMmkwmvvPIKmpqaVG3FG68sY2RkJHkblmSSJOHevXtx96dovXLA48ttSg4vv/xyWA7x6HQ63ls2m8U69rTmNGfOHJ7Te++9x6evqalBWVkZFi1aBEEQsGTJEmRkqEuNVHh/ArQde9Heb4DH9+QdP34cv/rVr8IyiNRWtPcnLR/k4pn0PXuhlXosHo8HPp9PNexJex6mos1E+Hw+lJSU8EuzJpMJXq8Xv/71r1FfX6+63FxcXIz+/v6w4eTppHyq1uLtt98GAGzZsmVS41NZIjm98847YIyhoaEhKe2lEi3bVVtbi0AgAMYYioqKYLFYVL0F8canAyWnWCfNmpqasBzScZ+JRWtOExMTPKeCggJVTr/97W95jjdv3pzWp1ink9LzF23czp07sWfPHk0fWqf6/WnSxZ7BYND8qdtsNsNgMKiGSZIEv9+vuY3paDMRubm5/LKs8vfw4UNs3rwZDx8+hNfrRUdHB39Ksri4OOJwkv4KCwsxOjoadpNttB4Ihc1mg8fjwalTpyJecos3PtVMNqf6+np88803+OMf/6i6JBLpcpIyPJHemtmmoKAg4nZF630ItXLlyrB7PBMZnyqU/cnv94cN10LJ4cGDB1OxerPGZI87RfC9spEKROWBmNLS0pQ+7oDEjj2lV3DNmjXIyMiAXq/HhQsXsGPHDlRVVWHhwoVPdBwnSnOxF/z0YHd3N3/iSQuLxYLMzEzs2rWLD0u0DQCqm4aT1eZkKMvu7u6OOo1er0dOTo7m4SR9KK+xcomitLQUwHcPDFy5cgWjo6N8uPKwj/IAkfL/aIVcvPHKNB6PR/Mb9kyIlJMgCPzkoORUUlIC4PE2VVVVwWazgTHG/x+p0FPaA8JzV9pT2lRymq0nIiUn5VKOlv0pOCeXy4Xm5mZ+Ir58+bLq3sZ445U2PR4PCgoKpm27E6XX6/Hss8/y/Um58qLcCH/16lX++guCoDmnhQsXal4HpadnNucEqI+9SDndvXtXlVN1dTVsNhsCgQCGhobQ3NzMe+suXbqEv/3tb8jOzg47hkRRRGNjI7Zs2aK63JkK709A+LGnJatVq1bBZrNhwYIFGBkZ4T2ckiShuroara2t6O/v518PFK0tQH3cPen701ytE7a0tGDt2rW4e/cucnNzMTAwAJ1Op+mRYJ1Oh08//RRlZWV8hSsqKviJSksb5eXl2LdvH/R6Pex2O5qammK2OZV0Oh1OnTqFNWvWoLm5mQ/PycnB6Ogo/7/VakVtbS0cDgdeffXVsOEkPSn3WXz55ZcAHj+9dvLkSVRVVcHn88FgMKC/vz/q/alXrlzBF198AQCqAsZqtaKrqyvueGB6e7knKzgnxhiMRiN6enpQXV2Nhw8fwmAw4MKFC1HviVFyYIypbsK3Wq3o7OzU1J6SU6z7bmZapP0pkZwsFgv+/d//nd8zFDp9vPGAen+arUWxktPNmzcBPM7pxIkTWLVqFf7nf/4HBoMBn3/+edRjQslhzpw5YIyFTS+KIn7wgx/wJ237+/uxY8cOtLa28nv7UiEnQJ1VdnY235+Cc4q2P+Xn5+PLL7/E3LlzVTkp0w8NDfG2AODDDz8Mu/cxFY474Lt78iLtU//93/8Ng8GA8+fPT+p9VktbSc2JxSFJEquoqGC9vb3xJiWE/H+9vb2soqKCSZI0Y8vPzc1lXq93RpavlZKT3++fseXn5eUxj8czI8vXqre3l1VWVs5YTg6HIyVycjgcsyKnb775ZkaWnwglq/Hx8RlZdn5+fsrkVFVVxf7617/OyLLz8/PZ/fv3n7itp/bn0giZSjP9PXc9PT0oKyvT/HT7TJnp77k7efIk/uEf/iElcprp/SkVcprp7wNUcprtPVbAzH7X3cmTJ/HKK6/M+v0JUH934nTn9Pvf/z5pOVGxR8gUmMmfLBNFEbdu3VJ9NdBsFfwTU9NNyWn79u2z+pIbMLM/WUY5aSOKIr7++uuUyAmYuZ8tU/and999N+Vyms59Sslp27Ztcb+2RQuBTfcRQQghhBBCpg317BFCCCGEpDEq9gghhBBC0hgVe4QQQgghaYyKPUIIIYSQNEbFHiGEEEJIGqNijxBCCCEkjVGxRwghhBCSxqjYI4QQQghJY1TsEUIIIYSkMSr2CCGEEELSGBV7hBBCCCFpjIo9QgghhJA0RsUeIYQQQkgao2KPEEIIISSNUbFHCCGEEJLGqNgjhBBCCEljVOwRQgghhKQxKvYIIYQQQtIYFXuEEEIIIWmMij1CCCGEkDRGxR4hhBBCSBqjYo8QQgghJI1RsUcIIYQQksao2COEEEIISWNU7BFCCCGEpDEq9gghhBBC0hgVe4QQQgghaYyKPUIIIYSQNJaWxZ4sy6isrIQgCKisrIQsyzO9SmmJciaEEEJmv7jFXvAJ3eFwhI13OByz7mR/5coVjI6Owuv14uLFi9DpdElpt62tDTabLSltTRWbzTZtr8VU5UwIIYSQ5NHcs/fKK6/g4MGDYUVET08PGhoakr5iTyonJwd6vX6mV2PadXV1TWvh9bTmTAghhKQKzcXe5s2b4ff74Xa7+TCXy4Vbt27hhRdeUE0b3BsoCALy8vIgiiKfJysri49zOBx8+qNHjyIvLw+CICArKwsulyviusRqv62tDa+++iq++OIL6PV6VU9crPmUccG9lw6HA5WVlRgbG0NlZSWam5vxySefQBAEtLW1Rd0ercvbsGEDzp49y7c5Ly8PbrebzxOaQaz2FDabjW9zIrmKoogXX3wRe/fuVbUdbZmxciaEEELI7KG52MvOzsbixYtx6dIlPuzSpUtYvHgxsrOzVdO+/fbbMJvNYIyBMYatW7di06ZNcLvdOHToEO7duwfGGOx2u6q3cNeuXTh58iQYY6ipqcHBgwfD1kOWZaxZsyas/bKyMoiiiKamJvT29qKiogKSJKGrq0vTfLHodDpcvHgRdrsdVqsVjDE0NTVBFEWsXbsWu3fvBmMMXq8XZ86cgSzLmpbn8/mwbds2DAwMQJIk5OTkoKCgAI2NjWCMYffu3dixYwfPJ1qu8S7ZaslVWZ/Ozk54vV7cuXMHRqMx6jK3bNkSMWdCCCGEzC4JPaCxbt06dHR0QBRFiKKI48ePo7GxUTWNy+XCtWvXVMPr6urg9/shyzKOHDnCLzGWl5fD7/dDkiQAQGdnJ4qLi/myPB5PWCHjdrvh9/vR0tKiat9gMGBsbCzquk92vlgGBwd5OwBgNBr59mldXnvsrV0jAAAYFklEQVR7O4xGI3Q6HVavXg2r1Yra2loAQGFhIUZHRyFJUsxcg3tbI9GSa+j6ALFfy3jLJIQQQsjskFCxV1paCuBxkTM4OIjMzExYLJaw6Xw+H0pKSvilP5PJhLt37wJ4fJlVGV5SUgKfz5fQCns8nrB59Ho9MjMz4fF4kj5fPNHuWZuK5cXKdarMxDIJIYQQkjwJFXtGoxFbt25FT08Penp6sHr16ogPAuTm5sLr9fJLf4wxPHz4EB6PBx0dHXyc0+mEwWBIaIXNZnPYPJIkwe/3w2w2J32+eJSet+lYXrRclV67qTATyySEEEJI8iT8PXvl5eXo6+vDwMAAv3wZzGKxIDMzE93d3XHbOnjwYMI9e0r7u3bt4sO6u7uj9jJqnU+n08FsNqOnpwfA40uY9fX1Ye0EXwJVejqVbRVFEQ0NDZBledLrGW/9teSaLIksU3mQgx7UIIQQQmaXhIs9i8WCoqIilJWV8Xu7gul0Opw6dQrnzp3jl/6U7+FbsWIFysrKYDKZIAgC5s+fj9zc3ISWr9Pp8Omnn2JgYIC3fe7cOZw6dSrm141oma+lpYWPX7t2rep+O+BxoTs0NAS9Xo+2tjYYjUacPHkS+/btgyAIWLJkCd566y3odLpJr2es9Y+W61R9p95MLJMQQgghySUwxthMrwQhhBBCCJkaaflzaYQQQggh5DEq9gghhBBC0hgVe4QQQgghaYyKPUIIIYSQNEbFHiGEEEJIGqNijxBCCCEkjVGxRwghhBCSxqjYI4QQQghJY1TsEUIIIYSkMSr2CCGEEELSGBV7hMwAl8uFrKws/nvDDodD03w2mw2CIKCtrU013OFwqH6/OHR8qnK5XJg/fz7frt7eXk3z1dfXQxAE2O12BP8ipMPhQEZGBm8vdHyqSiSn0AyUv7y8PHi9Xj7d/v37kZGRkTYZAY9zWrBggSqnaNvW19eHOXPmRMzJ4/Hw6dIxp6GhIVVOZ86c0bRtmzdvRkZGBlpbW8Om379/P88zKysLg4ODaZHX0NAQFi5cyLM6ffp03O164403MGfOHLS2tiIQCKjGHThwQJXTjRs3kpITFXuETDNRFLF27Vrs3r0bjDH09vaivr4eLpcr5nwOhwO3bt3CCy+8ENbeP//zP8PpdIIxBqfTiSNHjsRtb7YTRRHr1q3Drl27eE5vvPEGnE5nzPkcDge++uorvPDCCxAEQdXe3r17+Zun0+nE0aNH0yannTt3IhAIxM2ptrYWgUAAjDH+Z7PZUFZWBqPRCFEUkZ+fD7/fj/LyclWGqUwURaxfvx7vv/8+AoEAHA5HzJxqamowMTERMSeTyQRRFGGxWOD3+1FRUTHNWzN1lP0pOKcf//jH/P0lmr6+Pnz11Vd4/vnnw/aZ/fv349y5c/j222/BGMPDhw9RWlqa8vuWsk81NzdjYmICDocDb775ZsxCVskp0vYfOHAAZ8+exV/+8heeU6Q8J0NTsRfaayAIAmw2G0RRxIsvvoi9e/fyTzyiKEKWZVRWVqo+CYmiCAB8XHBPhsPhQGVlJWRZhizL2LBhA86ePYu8vDxe3ab6GzIhisHBQQBAXV0dAGDFihUoKipS9RaEkmUZBw8exHvvvYfMzEzVuLGxMQBAdnY2/3fevHlTserTSslp48aNAL7LKbj3KZQsy2hvb38qc6qrq4MgCJr2p2AulwvXrl3D9u3bIQgCjEYjbt++jebm5pQ/GQdTipWNGzdCEAQsX76c709aek4i5eR2u5+qnKJRjrvGxsawY0oURZw4cQItLS3Q6/VTvfrTKjirjIwMLF++HMXFxVGzkmUZH330Ed59911873vfU40Lzin0vSsZ4hZ7ob0GdrsdVqsVXV1dAACfz4fOzk54vV7cuXMHer0ea9asgdls5p+Gtm7dirKyMl7wxePz+WC1WnHy5EkwxrB7926sXbtW8/yEzGbDw8PIyckJe+MbHh6OOs/hw4dhNptRW1sbNq64uBiLFy9GWVkZ3G43Nm3ahA0bNqC4uDjp6z6dhoeH8eyzzyack8lkQk1NTdgJWMlp2bJlGBkZgdVqxfr161M+p5GRkYg5jYyMaCpi2tvb8f3vfz/lc4hHOe5CT6Sx9qdgT1tOiRx3R44ciXrcPXjwAOPj46irq+O3D1it1rDLl6ko0WPv448/htFoRG1tbcyclMu4mzZtwsTERFLWNW6xF/ppuLCwEB6PB7Is82na29thNBoBAG63G36/Hy0tLXx8XV0dDAYDb0uLzs5OflBNZn5CUoVOp4PZbI463uVy4fjx46pjKlRXVxfKyspQUFAAANiyZUvS13OmacnpxIkT2LdvX9Sels7OTixbtgyFhYVgjKGhoSGtemWA+DkFE0URAwMDWLt2bdrlEI+Sk5btFkUR//Zv/4a1a9dOw5rNLvFyGhoawokTJ/DBBx8gIyO8pPB4PPD5fOju7kYgEIDL5cL58+fhcDjS4p69YDqdDiaTKeK4oaEhHD9+HL/61a9i5vS73/0OExMTcLlcuHDhQtJyilvsKUWeUmj19PTAbDZDp9NFnF5Z4WB6vR6ZmZmaLytE4vP5nmh+QmYrWZaj7tuyLGPHjh345S9/yT9QhRJFEXl5eVi3bh0YY1i9ejWeffbZtLv1IV5O77//Pn7xi19EfbNV7kX7p3/6JzDG8I//+I/Izc2New9gqomVU6jPPvsMzz77LFasWDHFazX7KDlpOZEqOS1fvvypK4pj5aQcdz/72c+iHncAMG/ePGRnZ0MQBOTn56OoqAgjIyNTudozQpbliJdwZVnGzp07sWfPnpgfxDIzM8Nycrvd01PsjY2N4e7duygpKYEgCBgYGIjZw2A2m2EwGFTDJEmC3+/X/GkzEoPB8ETzEzJbFBYWYnR0FJIkhQ0PJUkSRkdH8eqrr0IQBOj1enzxxRdobm7m97l2d3cjJyeHn7C3bNmCoqIiXLp0aVq2Z6oUFhbi3r17k87p4sWLaG5uRlVVFSRJQnd3t6qwaWhoQFFRES5fvpzSPQwFBQURcyooKIhZmIiiiI6ODmzfvj3t7qWKRDnu/H5/2PBYRFHEoUOH8O677z5VOSVy3L322mvIyMiAXq9Hf38/duzYgcrKSvj9fphMJsydOxdjY2MpfZxFovXYU3Jas2YNz+nChQvYsWMHqqqqMD4+DrPZjGeeeWbKcopb7Hk8HtTU1PD77+7cuRO1hwEALBYLMjMzsWvXLj6su7sbmZmZsFgsvEu4p6cHwONLL/X19WHtBD+dGDw/IamutLQUwHc31l+5cgWjo6N8uPIQk81mg9FoxJ07d/jxJ0kSKioqYLfbcfHiReh0urA3Z7fbjaGhobgnsdkuWk4lJSUAHudUVVUFm82G7Oxs3L59W5VTZWUl7HY7+vv7odfrw4pHJad4RdFsp2V/UnIKPol89tlnqvnTndJhodx/fvXqVb4/CYIQMyfGGJ8u3SnbqTxRGimn6upq2Gw2LFy4kPc8KcddVVUVWltbcfHiRX7eXrRoES5fvgwAuHr1KoaGhrBy5coZ3tInF2mfCu4ck2UZq1atwq5du3Dr1i3+FLwkSaiurkZrayv6+/sxb9485OfnY9GiRbhy5Qpva2hoCCtWrEjOfsc0sFqtDAD/q6ioYJIkMa/Xy3Jzc1lvb69qemV46PSRxufm5rKPP/6YTyNJEquoqGAff/yxahqv16tlVQlJCU6nkxkMBgaAGQwG5nQ6+TjlGLBarWHzKePsdrtqeOgxGjo+VTmdTpaVlcVzGhwc5OMkSWKVlZXMarWyQCCgmk8ZZ7fbVeNsNpsqp9bW1rB5U1GiOXm9XpaXlxdx+5VxwTmlS1ZOp5PNnz+f53Tjxg0+LlpO+fn5UXPKz89Py5xcLldYTso2SZLEqqqqmNVqZRMTE6r5lHGhGQS3B4CdPn065TNSuFwutmDBAp7Vn//8Z1VW1dXVzGq1skePHvF5lOGtra2qDIPbAsBOnTqVtJwExmL3F7a1teHcuXM4deoUv0/PZrNh6dKlaGpqevJqM4Qsy1izZg0aGxsjPnlICCGEEEK0i3sZ98svv1Q9kJHIzb+EEEIIIWRmxS32fvOb38Dj8fAvSNbr9Vi9evWU9OoRQgghhJDkinsZlxBCCCGEpC76bVxCCCGEkDRGxR4hhBBCSBqjYo8QQgghJI1RsUcIIYQQksao2COEEEIISWNU7BFCCCGEpLFZWewpvw3qcDhmdPmCIPAfm9c6z0ytMyGEEEJIJJqKPZvNBkEQ0NbWphre1tYGm802JSs2k5QfEvd6vfzH5lNZtNfJZrNpLmbJ1Gtra+NfXp6VlQWXyxVxfOhxCAAOhyPmvOmkra0NGRkZfFudTmfE8Xa7HaFfI+pwOGLOmy7279/PtzMvLw9erzfqeEEQ0NvbG7Gd+vr6qFmmg9CcQn8dKjSnM2fORMzhachpzpw5UXPo6+vj47OysjA4OMjHy7KM6upqVY5WqxWBQGCmNmdKHThwQJXV6dOneRZ9fX2YO3cuz+nGjRuqnFatWqXKadOmTZiYmEjKemnu2XvllVfQ0dEBURSTsuDZLicnB3q9fqZXY0p1dXWlRTGbDpTfoJYkCYwxPHz4EMXFxQAAURSRl5cHWZZRUVERNq/D4UB9fT2cTicYY+js7MTatWvT8lhVchofH+c5lZSUAHicU35+PmRZRnl5OQRBUM3rcDiwefNm/gbb2dmJ9evXhxVCqU4URQwPD/OMli1bht27d/OTisvlwvXr1/n4trY2/PSnPw3LweFw4NatW3j++ednYjOmXKSc9uzZEzOn9957Lyynvr6+tM5paGgI169fx7fffhsxh76+PmzevBnXr19HIBBAV1cXXn/99bCcTp8+jUAgAMYYPvnkE2RkzMoLi08kNKv9+/ejubkZHo+H53Tt2jWe08aNG8M+YJw6dYrn9Omnn2LOnDlJWTfNaVdXVyMnJwe7du0KGxfpEqbD4eC9RrIsY8OGDTh79izy8vL4pyi3280vl0bqjRgbG+PTh44PvtSqtCeKIkRRxIsvvoi9e/eqhkda39B5gccnk1dffRVffPEF9Hq9qkcs1nxa1jlSz00i2/Haa69FXB+lp8flciErK4u3dezYMVRWVqK5uRmffPJJWK+QzWbTvH3KuKNHjya0fSQ+URRx/PhxtLa2Riy8jUYj7ty5E/UnCoeHh1FUVASLxQIAKC0thcFgwNjY2JSu93QTRREnTpzAhx9+GPGDmNFoxO3bt9HU1BRW6AHAyMgInnvuubTPyWg04vDhwzyjpUuXwuPx8B784uJiHDt2jI9fuXIl5s6dq8pBlmW0t7ejsbER8+bNi5hnqouUk9frjZvTgwcPeBuhOaWjoqIiHDt2DJmZmQCA8vJyPPPMMxgbGwNjDMPDw/y4EgQBJSUl/LhKx17OWIqKivDZZ5/xrFauXMmzipRTVlYWHjx4MC05aS72dDodWltbce3atUmdxH0+H7Zt24aBgQFIkoScnBwUFBSgsbERjDHs3r0bO3bsUF1S3LVrF06ePMnHB/dWvP322zCbzWCMgTGGrVu3YtOmTZBlGT6fD52dnfB6vbhz5w6MRiNvU5ZlrFmzJmzesrIyiKKIpqYm9Pb2oqKiApIkoaurS9N88dbZ5XLh+PHj8Hq9qp6bRLajoaEBAwMDfHlutxv3799HeXk5RFHEoUOHcO/ePTDGYLfbcfToUZw6dQp2ux1WqxWMsagFw2S2r6amBgcPHgSAqNtH4hsbG8P4+Dhef/11XiwncntEYWEhRkdHIUkSH+bz+cI+MaY6JaeNGzeqctL6RllQUIB79+6lfU7BRFFER0cHfvjDH0btwfd4PHj06BGys7P5sCNHjsBkMqG2tna6VnVGKe+fq1atipqT1+vFo0ePsHDhQj7syJEjMBqNqK2tTcuCOJLg/UUQBBQWFmo6rn70ox8hIyMj7DJvOvN4PPjb3/6G7OxszTmtWbOG5xR8mfdJJdSPWlxcjJdeeimsKNOqvb0dRqMROp0Oq1evhtVq5W8mkU5YnZ2dvGCoq6vjnxZcLheuXbuGxsZGPm1dXR38fj/cbrdqWaHcbjf8fj9aWlpU88b7hK91vmjrDAB3797F4OAgnzbR7SgtLQUA3salS5ewaNEiWCwWGI1GHDlyhL9RlZeXw+/3q/KMZTLbt27dOlWPQej2EW08Hg98Ph+OHTsGxhicTif6+vo0P+xTW1uLsrIymEwmCIKAJUuWYO7cuVO81tNPyemzzz7jOZ09ezbhnMxmM88pWZdIZhvl3kSTyYRXXnklam+n0jP11ltv8fcZ5YPbvn370r6A6evr4zm9/PLLcXP6yU9+ApPJBOC7nP7lX/4l7XNSKDls2bKF51BTU4OysjIsWrSIH1fBl2h1Oh0uXLjAL03u2bMHGzZsSLvbJ0LJsoyPPvqIZ1VTU4Nly5bh7/7u73hOwfuNTqfD559/znP62c9+FvEy72QlfNG8paUFo6OjOHz4cFJWIBHBVbDP50NJSQn/hG8ymXD37t24bSgnjGB6vR6ZmZkxQ53sfMo6FxcXo7+/H/X19arLqYlsh9FoRFlZGXp6eiDLMs6dO4fGxkZe4AVfRi0pKQlb31gmu32KaNtHtJk3bx7vWbFYLCgqKsLw8LDm+bu6uniP7M2bN/Ho0aOpWtUZFSmnkZERzfN3dnaqckrWzc+zTW1tLT9pKJf4I51c33nnHTDG0NDQAEEQIMsy3n//ffz85z/nJ/N0VlNTE5ZTpPe7d955B4FAQJXTzp07n5qcFNu2bVPloPjtb3/Lc7x582bMhy+Unvl079179913MTExgTfffJMXv//6r/+qyinW9itXepR7sZ9UwsWe0WhEe3v7jDysYTAYYDabAQC5ubn8kqHyp+XSodlshsFgUA2TJAl+v5+3ncz5gte5uLgYDx8+hNfrRUdHB86fP5/wdjQ2NuLWrVv405/+BL/fz3v7HA4HOjo6eFtOpzNsfWOZ7PYFC90++hoabcxmc9g9U09C6V1V9o10QTlNTqR78oDHT5B+8803+OMf/8jvS5MkCaOjo3jttdcgCAL0ej0uXryI5uZmVFVVab5SkIoi3ZMHfJfTH/7wB34vVnBOGRkZ0Ov16O/vx44dO1BZWQm/3z8TmzClNm/ejPv376tyiER5wr20tDRij+eDBw8wd+5czeeVVLR582b813/9F37/+99HvZdTKeKUzp5QSk7J+jAxqcdhVqxYgZycHN57o9PpYDab0dPTA+Bx93Z9ff0Tr1x9fT2/P7C7uxuZmZmwWCywWCzIzMxEd3d3wm0q8wY/aBLc9pPOF22dg+n1euTk5CAnJyfh7VDW44MPPsDixYsjXqoGgIMHD6p66oIvtz7J9mmhbB/RxmKxYNGiRbh06RKAx1/9MzQ0hPLy8oTbEkUR27dvx9atW6PuG6lKyeny5csAvstp5cqVCbcliiIaGxtVly/ThcvlQnNzM+8NuHz5suqePFmWUVVVFVboAd895KJ88JQkCZWVlbDb7ejv70+rbyiIlpNyT57ylSGhhR7wOCe3263KqaqqCq2trbh48WLMYijVKDloKfSU4yr4Mu+OHTtUvVPt7e0wm838QYV0onx9yv3792MWeqIo4qc//SkaGhqi5vTRRx/BZDIlLyemgdVqZXa7XTXM6XQyg8HArFYrY4wxr9fLcnNzGQCWm5vLPv74Y1ZRUcEkSWKSJLGKigrW29vL57fb7Xxexhjr7e1lubm5zOv1MkmS2Pr169nRo0eZwWDgbXq9Xj690iYA/ldRUcFGRkZYbm6ualmhgtdVmU+SJNW6hA6LN1+8de7t7VWtq7Ltk9kOu93OAISNs1qtvI2mpiZWWVnJvF4vf60AqF5Hq9Wqeg3ibV/oaxicU7TtI9oEv0ahr23o66L8Ka9l6Lyhx2o6cTqdLCsri2/rmTNn+Div18vy8vLCcmptbWWBQCBsXmV4upEkiVVWVvLtNBgMbHBwkI/v7e1lgiCE5bRp06awPJS27HZ72mWlbJuShcFgYDdu3ODjHQ4Hy8jI0JxTVVVVWu5TsXKYmJhgLpeLzZ8/nw//8MMPVRmEzl9eXs7Gx8dncIumjsPhYHPmzImY1Y0bN9iCBQtUOU1MTESdt7y8nP31r39N2roJjKXxRXNCCCGEkKdc+n2rISGEEEII4ajYI4QQQghJY1TsEUIIIYSksbBvXk23p2MIIYQQQtJdrEcwwoo9el6DEEIIISR9/D/bi4dACT4GYgAAAABJRU5ErkJggg==)
Notes: Beliefs are those of the household head if the individual was under the age of 18. Results are from logistic regression models and coefficients are expressed in terms of odds ratios. Columns 2, 4 and 6 include the following controls: age and gender of the individual, education level (of the respondent if the individual was under 18), whether the individual slept under a net the previous night, the main source of household drinking water, whether the household owns more than one acre of land and village fixed effects. *p<0.05, **p<0.01
We also find some evidence that those who adhered to a positive test result were more likely to subsequently say that AL was “very effective” in treating malaria compared to those who did not adhere, however our results are not statistically significant (Appendix Table A2).
Updating beliefs with test result
Figures 3 demonstrates that individuals use the information from the test to update their beliefs about the likelihood that their (or their child’s) illness is malaria. For example, we find that for individuals who tested positive on their RDT, 87% said it was “very likely” their illness was malaria before the test, compared to nearly 100% after the test result (P<0.001). For those who tested negative, 61% said it was “very likely” their illness was malaria before testing, compared to only 14% after the test result (P<0.001).
We also find evidence that the degree to which people update their beliefs based on the test results depends on their prior confidence in testing (Appendix Figure A1). Those who had said that a hypothetical negative RDT was “likely” or “very likely” to be correct, were more likely to revise downwards their belief that an illness was malaria after a negative test result, compared to those who said that they were less confident in a negative RDT result (P<0.001).