I have the following data related to covid 19 cases and deaths. The variable "indicator" gives me values for "cases" and also for "deaths". I would like to reshape the data in order to have a variable with the values for "cases" and other variable with the values of "deaths". I tried to use the command reshape but appears an error saying that there are too many observations for the same value of yearweek.
Can you help me with this issue?
Thank you in advance.

Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input str33 country str7 continent double population str6 indicator long weekly_count str7 year_week float rate_14_day long cumulative_count float yearweek long(indicator_ country_)
"Afghanistan" "Asia" 38928341 "cases"     0 "2020-01"          .     0 3120 1 1
"Afghanistan" "Asia" 38928341 "cases"     0 "2020-02"          0     0 3121 1 1
"Afghanistan" "Asia" 38928341 "cases"     0 "2020-03"          0     0 3122 1 1
"Afghanistan" "Asia" 38928341 "cases"     0 "2020-04"          0     0 3123 1 1
"Afghanistan" "Asia" 38928341 "cases"     0 "2020-05"          0     0 3124 1 1
"Afghanistan" "Asia" 38928341 "cases"     0 "2020-06"          0     0 3125 1 1
"Afghanistan" "Asia" 38928341 "cases"     0 "2020-07"          0     0 3126 1 1
"Afghanistan" "Asia" 38928341 "cases"     0 "2020-08"          0     0 3127 1 1
"Afghanistan" "Asia" 38928341 "cases"     1 "2020-09" .002568823     1 3128 1 1
"Afghanistan" "Asia" 38928341 "cases"     3 "2020-10"  .01027529     4 3129 1 1
"Afghanistan" "Asia" 38928341 "cases"    12 "2020-11"  .03853234    16 3130 1 1
"Afghanistan" "Asia" 38928341 "cases"    18 "2020-12"  .07706468    34 3131 1 1
"Afghanistan" "Asia" 38928341 "cases"    80 "2020-13"   .2517446   114 3132 1 1
"Afghanistan" "Asia" 38928341 "cases"   185 "2020-14"    .680738   299 3133 1 1
"Afghanistan" "Asia" 38928341 "cases"   308 "2020-15"  1.2664295   607 3134 1 1
"Afghanistan" "Asia" 38928341 "cases"   389 "2020-16"  1.7904693   996 3135 1 1
"Afghanistan" "Asia" 38928341 "cases"   535 "2020-17"  2.3735921  1531 3136 1 1
"Afghanistan" "Asia" 38928341 "cases"  1173 "2020-18"   4.387549  2704 3137 1 1
"Afghanistan" "Asia" 38928341 "cases"  1698 "2020-19"    7.37509  4402 3138 1 1
"Afghanistan" "Asia" 38928341 "cases"  2262 "2020-20"  10.172537  6664 3139 1 1
"Afghanistan" "Asia" 38928341 "cases"  3918 "2020-21"  15.875323 10582 3140 1 1
"Afghanistan" "Asia" 38928341 "cases"  4623 "2020-22"  21.940313 15205 3141 1 1
"Afghanistan" "Asia" 38928341 "cases"  5137 "2020-23"   25.07171 20342 3142 1 1
"Afghanistan" "Asia" 38928341 "cases"  4424 "2020-24"   24.56051 24766 3143 1 1
"Afghanistan" "Asia" 38928341 "cases"  4067 "2020-25"   21.81187 28833 3144 1 1
"Afghanistan" "Asia" 38928341 "cases"  2134 "2020-26"   15.92927 30967 3145 1 1
"Afghanistan" "Asia" 38928341 "cases"  1984 "2020-27"   10.57841 32951 3146 1 1
"Afghanistan" "Asia" 38928341 "cases"  1500 "2020-28"   8.949778 34451 3147 1 1
"Afghanistan" "Asia" 38928341 "cases"  1024 "2020-29"   6.483708 35475 3148 1 1
"Afghanistan" "Asia" 38928341 "cases"   788 "2020-30"  4.6547065 36263 3149 1 1
"Afghanistan" "Asia" 38928341 "cases"   447 "2020-31"   3.172496 36710 3150 1 1
"Afghanistan" "Asia" 38928341 "cases"   344 "2020-32"  2.0319386 37054 3151 1 1
"Afghanistan" "Asia" 38928341 "cases"   542 "2020-33"  2.2759767 37596 3152 1 1
"Afghanistan" "Asia" 38928341 "cases"   403 "2020-34"   2.427537 37999 3153 1 1
"Afghanistan" "Asia" 38928341 "cases"   163 "2020-35"  1.4539535 38162 3154 1 1
"Afghanistan" "Asia" 38928341 "cases"   236 "2020-36"  1.0249602 38398 3155 1 1
"Afghanistan" "Asia" 38928341 "cases"   318 "2020-37"  1.4231277 38716 3156 1 1
"Afghanistan" "Asia" 38928341 "cases"   328 "2020-38"  1.6594594 39044 3157 1 1
"Afghanistan" "Asia" 38928341 "cases"   183 "2020-39"  1.3126683 39227 3158 1 1
"Afghanistan" "Asia" 38928341 "cases"   114 "2020-40"   .7629403 39341 3159 1 1
"Afghanistan" "Asia" 38928341 "cases"   458 "2020-41"  1.4693666 39799 3160 1 1
"Afghanistan" "Asia" 38928341 "cases"   401 "2020-42"  2.2066185 40200 3161 1 1
"Afghanistan" "Asia" 38928341 "cases"   633 "2020-43"  2.6561625 40833 3162 1 1
"Afghanistan" "Asia" 38928341 "cases"   800 "2020-44"   3.681123 41633 3163 1 1
"Afghanistan" "Asia" 38928341 "cases"   606 "2020-45"  3.6117644 42239 3164 1 1
"Afghanistan" "Asia" 38928341 "cases"  1164 "2020-46"   4.546816 43403 3165 1 1
"Afghanistan" "Asia" 38928341 "cases"  1368 "2020-47"   6.504259 44771 3166 1 1
"Afghanistan" "Asia" 38928341 "cases"  1073 "2020-48"   6.270496 45844 3167 1 1
"Afghanistan" "Asia" 38928341 "cases"  1672 "2020-49"   7.051418 47516 3168 1 1
"Afghanistan" "Asia" 38928341 "cases"  1757 "2020-50"   8.808493 49273 3169 1 1
"Afghanistan" "Asia" 38928341 "cases"   740 "2020-51"    6.41435 50013 3170 1 1
"Afghanistan" "Asia" 38928341 "cases"  1994 "2020-52"   7.023161 52007 3171 1 1
"Afghanistan" "Asia" 38928341 "cases"   902 "2020-53"    7.43931 52909    . 1 1
"Afghanistan" "Asia" 38928341 "cases"   675 "2021-01"   4.051033 53584 3172 1 1
"Afghanistan" "Asia" 38928341 "cases"   557 "2021-02"  3.1647894 54141 3173 1 1
"Afghanistan" "Asia" 38928341 "deaths"    0 "2020-01"          .     0 3120 2 1
"Afghanistan" "Asia" 38928341 "deaths"    0 "2020-02"          0     0 3121 2 1
"Afghanistan" "Asia" 38928341 "deaths"    0 "2020-03"          0     0 3122 2 1
"Afghanistan" "Asia" 38928341 "deaths"    0 "2020-04"          0     0 3123 2 1
"Afghanistan" "Asia" 38928341 "deaths"    0 "2020-05"          0     0 3124 2 1
"Afghanistan" "Asia" 38928341 "deaths"    0 "2020-06"          0     0 3125 2 1
"Afghanistan" "Asia" 38928341 "deaths"    0 "2020-07"          0     0 3126 2 1
"Afghanistan" "Asia" 38928341 "deaths"    0 "2020-08"          0     0 3127 2 1
"Afghanistan" "Asia" 38928341 "deaths"    0 "2020-09"          0     0 3128 2 1
"Afghanistan" "Asia" 38928341 "deaths"    0 "2020-10"          0     0 3129 2 1
"Afghanistan" "Asia" 38928341 "deaths"    0 "2020-11"          0     0 3130 2 1
"Afghanistan" "Asia" 38928341 "deaths"    0 "2020-12"          0     0 3131 2 1
"Afghanistan" "Asia" 38928341 "deaths"    4 "2020-13"   .1027529     4 3132 2 1
"Afghanistan" "Asia" 38928341 "deaths"    3 "2020-14"  .17981757     7 3133 2 1
"Afghanistan" "Asia" 38928341 "deaths"   11 "2020-15"   .3596351    18 3134 2 1
"Afghanistan" "Asia" 38928341 "deaths"   15 "2020-16"   .6678939    33 3135 2 1
"Afghanistan" "Asia" 38928341 "deaths"   24 "2020-17"  1.0018408    57 3136 2 1
"Afghanistan" "Asia" 38928341 "deaths"   28 "2020-18"  1.3357878    85 3137 2 1
"Afghanistan" "Asia" 38928341 "deaths"   35 "2020-19"  1.6183583   120 3138 2 1
"Afghanistan" "Asia" 38928341 "deaths"   49 "2020-20"   2.157811   169 3139 2 1
"Afghanistan" "Asia" 38928341 "deaths"   49 "2020-21"   2.517446   218 3140 2 1
"Afghanistan" "Asia" 38928341 "deaths"   39 "2020-22"  2.2605639   257 3141 2 1
"Afghanistan" "Asia" 38928341 "deaths"  100 "2020-23"  3.5706635   357 3142 2 1
"Afghanistan" "Asia" 38928341 "deaths"  114 "2020-24"    5.49728   471 3143 2 1
"Afghanistan" "Asia" 38928341 "deaths"  110 "2020-25"   5.754162   581 3144 2 1
"Afghanistan" "Asia" 38928341 "deaths"  140 "2020-26"   6.422056   721 3145 2 1
"Afghanistan" "Asia" 38928341 "deaths"  143 "2020-27"   7.269768   864 3146 2 1
"Afghanistan" "Asia" 38928341 "deaths"  146 "2020-28"   7.423897  1010 3147 2 1
"Afghanistan" "Asia" 38928341 "deaths"  171 "2020-29"  8.1431675  1181 3148 2 1
"Afghanistan" "Asia" 38928341 "deaths"   88 "2020-30"    6.65325  1269 3149 2 1
"Afghanistan" "Asia" 38928341 "deaths"   15 "2020-31"   2.645887  1284 3150 2 1
"Afghanistan" "Asia" 38928341 "deaths"   28 "2020-32"  1.1045936  1312 3151 2 1
"Afghanistan" "Asia" 38928341 "deaths"   63 "2020-33"  2.3376286  1375 3152 2 1
"Afghanistan" "Asia" 38928341 "deaths"   12 "2020-34"   1.926617  1387 3153 2 1
"Afghanistan" "Asia" 38928341 "deaths"   15 "2020-35"   .6935821  1402 3154 2 1
"Afghanistan" "Asia" 38928341 "deaths"   10 "2020-36"   .6422057  1412 3155 2 1
"Afghanistan" "Asia" 38928341 "deaths"    8 "2020-37"   .4623881  1420 3156 2 1
"Afghanistan" "Asia" 38928341 "deaths"   21 "2020-38"   .7449585  1441 3157 2 1
"Afghanistan" "Asia" 38928341 "deaths"   12 "2020-39"   .8477114  1453 3158 2 1
"Afghanistan" "Asia" 38928341 "deaths"    9 "2020-40"  .53945273  1462 3159 2 1
"Afghanistan" "Asia" 38928341 "deaths"   15 "2020-41"   .6165174  1477 3160 2 1
"Afghanistan" "Asia" 38928341 "deaths"   15 "2020-42"   .7706468  1492 3161 2 1
"Afghanistan" "Asia" 38928341 "deaths"   22 "2020-43"   .9504644  1514 3162 2 1
"Afghanistan" "Asia" 38928341 "deaths"   27 "2020-44"   1.258723  1541 3163 2 1
"Afghanistan" "Asia" 38928341 "deaths"   24 "2020-45"  1.3100995  1565 3164 2 1
end
format %tw yearweek
label values indicator_ indicator_
label def indicator_ 1 "cases", modify
label def indicator_ 2 "deaths", modify
label values country_ country_
label def country_ 1 "Afghanistan", modify
Best regards