Convert fromat YYYY-WW to DD-MM-YYYY

[learning1]

Hi posit community,
I have this dataset and I would like to convert it from YYYY-WW to DD-MM-YYYY in isoweek format.
Every week in each year could be represented as a weekly date (DD-MM-YYYY) as a world consensus. Each year should contain 52 or 53 weeks. Finally, I would like to start every week on Monday.
-The text is apt to be copied and pasted in a csv.

year	week	Adenovirus
2019	1	16
2019	2	16
2019	3	28
2019	4	11
2019	5	11
2019	6	10
2019	7	7
2019	8	19
2019	9	9
2019	10	16
2019	11	16
2019	12	14
2019	13	22
2019	14	29
2019	15	29
2019	16	25
2019	17	36
2019	18	49
2019	19	29
2019	20	51
2019	21	43
2019	22	57
2019	23	49
2019	24	61
2019	25	49
2019	26	49
2019	27	85
2019	28	61
2019	29	66
2019	30	68
2019	31	69
2019	32	57
2019	33	60
2019	34	43
2019	35	58
2019	36	53
2019	37	42
2019	38	25
2019	39	50
2019	40	40
2019	41	40
2019	42	38
2019	43	32
2019	44	25
2019	45	28
2019	46	14
2019	47	16
2019	48	27
2019	49	19
2019	50	14
2019	51	19
2019	52	20
2020	1	11
2020	2	12
2020	3	17
2020	4	25
2020	5	21
2020	6	16
2020	7	18
2020	8	13
2020	9	16
2020	10	11
2020	11	15
2020	12	29
2020	13	67
2020	14	55
2020	15	37
2020	16	12
2020	17	8
2020	18	8
2020	19	23
2020	20	3
2020	21	4
2020	22	5
2020	23	7
2020	24	7
2020	25	2
2020	26
2020	27	1
2020	28	2
2020	29	2
2020	30	3
2020	31	4
2020	32	7
2020	33	2
2020	34	1
2020	35	1
2020	36	2
2020	37	6
2020	38	1
2020	39	3
2020	40	1
2020	41	4
2020	42	2
2020	43	6
2020	44	2
2020	45	1
2020	46	4
2020	47	2
2020	48	4
2020	49	4
2020	50	3
2020	51	4
2020	52	1
2020	53	3
2021	1	2
2021	2	1
2021	3
2021	4	1
2021	5	1
2021	6	2
2021	7	4
2021	8	3
2021	9
2021	10
2021	11	1
2021	12	5
2021	13	1
2021	14
2021	15	4
2021	16	1
2021	17	3
2021	18	2
2021	19	4
2021	20	3
2021	21	2
2021	22	3
2021	23	5
2021	24	7
2021	25	4
2021	26	3
2021	27
2021	28	5
2021	29	2
2021	30	10
2021	31	8
2021	32	3
2021	33	6
2021	34	8
2021	35	15
2021	36	7
2021	37	7
2021	38	16
2021	39	9
2021	40	22
2021	41	14
2021	42	10
2021	43	6
2021	44	12
2021	45	12
2021	46	14
2021	47	16
2021	48	23
2021	49	16
2021	50	13
2021	51	7
2021	52	20
2022	1	27
2022	2	18
2022	3	18
2022	4	17
2022	5	18
2022	6	16
2022	7	13
2022	8	10
2022	9	8
2022	10	11
2022	11	16
2022	12	23
2022	13	19
2022	14	21
2022	15	27
2022	16	35
2022	17	35
2022	18	44
2022	19	46
2022	20	83
2022	21	59
2022	22	78
2022	23	70
2022	24	97
2022	25	70
2022	26	67
2022	27	68
2022	28	64
2022	29	45
2022	30	43
2022	31	46
2022	32	64
2022	33	76
2022	34	74
2022	35	59
2022	36	62
2022	37	58
2022	38	72
2022	39	83
2022	40	84
2022	41	90
2022	42	98
2022	43	105
2022	44	120
2022	45	104
2022	46	104
2022	47	96
2022	48	110
2022	49	122
2022	50	134
2022	51	137
2022	52	124
2023	1	95
2023	2	107
2023	3	102
2023	4	87
2023	5	79
2023	6	66
2023	7	86
2023	8	73
2023	9	69
2023	10	56
2023	11	68
2023	12	59
2023	13	77
2023	14	123
2023	15	132
2023	16	149
2023	17	192
2023	18	200
2023	19	227
2023	20	248
2023	21	318
2023	22	304
2023	23	335

[technocrat]

Using ISO week convention

# Load the required package
library(ISOweek)
library(lubridate)
#> 
#> Attaching package: 'lubridate'
#> The following objects are masked from 'package:base':
#> 
#>     date, intersect, setdiff, union

# Define the start date (January 1, 2019)
start_date <- ISOweek2date("2019-W01-1")

# Define the end date (start of the 23rd ISO week of 2023)
end_date <- ISOweek2date("2023-W23-1")

# Create a sequence of POSIX date objects
the_dates <- seq(start_date, end_date, by = "week")

d <- data.frame(the_date = the_dates)
d$the_year <- year(d$the_date)
d$the_week <- isoweek(d$the_date)
d$the_dow  <- wday(d$the_date,label = TRUE)
d$faked   <- sample(10:30,dim(d)[1],replace = TRUE)
head(d)
#>     the_date the_year the_week the_dow faked
#> 1 2018-12-31     2018        1     Mon    12
#> 2 2019-01-07     2019        2     Mon    24
#> 3 2019-01-14     2019        3     Mon    17
#> 4 2019-01-21     2019        4     Mon    22
#> 5 2019-01-28     2019        5     Mon    10
#> 6 2019-02-04     2019        6     Mon    25

^{Created on 2023-06-20 with reprex v2.0.2}

[learning1]

@technocrat , thank you for your time and your response.