def get_bcg_coverage(database, country_iso_code):
    """
    extract bcg coverage from inputs database

    :param database: sql database
        database containing the bcg data
    :param country_iso_code: string
        three letter ISO3 code for the country of interest
    :return: dict
        pandas data frame with columns years and one row containing the values of BCG coverage in that year
    """
    _bcg_coverage = database.db_query("BCG", conditions=["ISO_code='" + country_iso_code + "'"])
    _bcg_coverage = _bcg_coverage.filter(
        items=[column for column in _bcg_coverage.columns if column.isdigit()]
    )
    return {
        int(key): value / 1e2
        for key, value in zip(list(_bcg_coverage.columns), _bcg_coverage.loc[0, :])
        if value is not None
    }