def METHOD_NAME():
    world_wk = pd.read_csv(
        f"{BASE_URL}/export_world.csv",
        usecols=[
            "world",
            "date",
            "estimated_daily_excess_deaths",
            "estimated_daily_excess_deaths_ci_95_top",
            "estimated_daily_excess_deaths_ci_95_bot",
        ],  # type: ignore
    )
    world_wk_100k = pd.read_csv(
        f"{BASE_URL}/export_world_per_100k.csv",
        usecols=[
            "world",
            "date",
            "estimated_daily_excess_deaths_per_100k",
            "estimated_daily_excess_deaths_ci_95_top_per_100k",
            "estimated_daily_excess_deaths_ci_95_bot_per_100k",
        ],  # type: ignore
    )
    world_cum = pd.read_csv(
        f"{BASE_URL}/export_world_cumulative.csv",
        usecols=[
            "world",
            "date",
            "cumulative_estimated_daily_excess_deaths",
            "cumulative_estimated_daily_excess_deaths_ci_95_top",
            "cumulative_estimated_daily_excess_deaths_ci_95_bot",
        ],  # type: ignore
    )
    world_cum_100k = pd.read_csv(
        f"{BASE_URL}/export_world_per_100k_cumulative.csv",
        usecols=[
            "world",
            "date",
            "cumulative_estimated_daily_excess_deaths_per_100k",
            "cumulative_estimated_daily_excess_deaths_ci_95_top_per_100k",
            "cumulative_estimated_daily_excess_deaths_ci_95_bot_per_100k",
        ],  # type: ignore
    )
    world_wk_merge = pd.merge(world_wk, world_wk_100k, on=["world", "date"], how="outer")
    world_cum_merge = pd.merge(world_cum, world_cum_100k, on=["world", "date"], how="outer")
    world_all = pd.merge(world_cum_merge, world_wk_merge, on=["world", "date"], how="outer")
    return world_all