Description

This analysis uses Komdat data from Ministry of Health. Dropping missing cases from the data we use 61 districts for this analysis.

Provinsi KabKota
Aceh Bireuen
Bali Karang Asem
Banten Kota Tangerang Selatan
Bengkulu Bengkulu Utara
Daerah Khusus Ibukota Jakarta Kota Jakarta Timur
Daerah Khusus Ibukota Jakarta Kota Jakarta Barat
Daerah Khusus Ibukota Jakarta Kota Jakarta Utara
Jambi Tanjung Jabung Timur
Jawa Barat Sukabumi
Jawa Barat Cirebon
Jawa Barat Sumedang
Jawa Barat Indramayu
Jawa Barat Subang
Jawa Barat Purwakarta
Jawa Barat Karawang
Jawa Barat Bekasi
Jawa Barat Kota Bekasi
Jawa Barat Kota Depok
Jawa Tengah Cilacap
Jawa Tengah Klaten
Jawa Tengah Blora
Jawa Tengah Demak
Jawa Tengah Kendal
Jawa Tengah Batang
Jawa Tengah Brebes
Jawa Tengah Kota Semarang
Jawa Timur Tulungagung
Jawa Timur Kediri
Jawa Timur Lumajang
Jawa Timur Jember
Jawa Timur Banyuwangi
Jawa Timur Bondowoso
Jawa Timur Situbondo
Jawa Timur Pasuruan
Jawa Timur Sidoarjo
Jawa Timur Mojokerto
Jawa Timur Jombang
Jawa Timur Magetan
Jawa Timur Bojonegoro
Jawa Timur Sampang
Jawa Timur Pamekasan
Jawa Timur Kota Surabaya
Kalimantan Barat Kubu Raya
Kalimantan Selatan Kota Baru
Kalimantan Tengah Kotawaringin Barat
Kalimantan Tengah Kotawaringin Timur
Kepulauan Bangka Belitung Bangka Selatan
Kepulauan Bangka Belitung Belitung Timur
Kepulauan Riau Kota Batam
Lampung Kota Bandar Lampung
Maluku Utara Kepulauan Sula
Maluku Buru
Nusa Tenggara Barat Lombok Timur
Sulawesi Tengah Banggai Kepulauan
Sulawesi Tenggara Bombana
Sumatera Barat Pesisir Selatan
Sumatera Barat Pasaman Barat
Sumatera Barat Kota Padang
Sumatera Selatan Musi Banyuasin
Sumatera Utara Asahan
Sumatera Utara Deli Serdang

Temporal Analysis

Trajectory over months (expected vs actual)

Figure 1 compares the actual total outpatient attendance in Indonesia from January to August in 2020 with the expected number of visits based on historic data, allowing both of the above types of comparisons on the same chart. The trend in 2020 shows a marked decrease in outpatient attendance after March, the first month COVID-19 cases were reported in Indonesia. While delays in reporting may exist and fluctuations in attendance may occur normally (e.g. due to seasonal factors), the difference from outpatient attendance numbers in January to March compared to April to June provides a sense of when a decrease in attendance began and the extent of its impact. However, a slight increase in uptake is observed in August 2020, suggesting that any modifications or contextual factors during this time may be improving the situation.

Trajectory for each district (sparkline)

dat_2020 <- dataMasuk %>% filter(Tahun == 2020)
dat_list <- purrr::map(indicator_choices, ~split(x = dat_2020[,.x], f = dat_2020$KabKota))
inline_plot <- data.frame(KabKota = names(dat_list[[1]]), K4 = "", PF = "",
                          KN_Lengkap = "", Kematian_Ibu = "")
inline_plot %>%
  kbl(booktabs = TRUE) %>%
  kable_paper(full_width = FALSE) %>%
  column_spec(2, width = "3cm", image = spec_plot(dat_list[[1]], same_lim = FALSE)) %>%
  column_spec(3, width = "3cm", image = spec_plot(dat_list[[2]], same_lim = FALSE)) %>%
  column_spec(4, width = "3cm", image = spec_plot(dat_list[[3]], same_lim = FALSE)) %>%
  column_spec(5, width = "3cm", image = spec_plot(dat_list[[4]], same_lim = FALSE))
KabKota K4 PF KN_Lengkap Kematian_Ibu
Asahan
Banggai Kepulauan
Bangka Selatan
Banyuwangi
Batang
Bekasi
Belitung Timur
Bengkulu Utara
Bireuen
Blora
Bojonegoro
Bombana
Bondowoso
Brebes
Buru
Cilacap
Cirebon
Deli Serdang
Demak
Indramayu
Jember
Jombang
Karang Asem
Karawang
Kediri
Kendal
Kepulauan Sula
Klaten
Kota Bandar Lampung
Kota Baru
Kota Batam
Kota Bekasi
Kota Depok
Kota Jakarta Barat
Kota Jakarta Timur
Kota Jakarta Utara
Kota Padang
Kota Semarang
Kota Surabaya
Kota Tangerang Selatan
Kotawaringin Barat
Kotawaringin Timur
Kubu Raya
Lombok Timur
Lumajang
Magetan
Mojokerto
Musi Banyuasin
Pamekasan
Pasaman Barat
Pasuruan
Pesisir Selatan
Purwakarta
Sampang
Sidoarjo
Situbondo
Subang
Sukabumi
Sumedang
Tanjung Jabung Timur
Tulungagung

Trajectory for each district (full data and numbers)

Utilization change

Showing percent differences for the May 2020 compared to May 2019

Spatial Analysis

Showing percent differences for the May 2020 compared to May 2019 (Note: Need to zoom in to get clear view)