proc_mortality1: SMART Survey Processed Mortality Dataset
In SaeedR1987/healthyr: REACH Nutrition & Health R Tools

proc_mortality1

R Documentation

SMART Survey Processed Mortality Dataset

Description

A dataset containing demographic and moratlity data from a SMART Survey that has been merged and standardized by the healthyr functions.

Usage

proc_mortality1

Format

A data frame with 3780 rows and 47 variables:

id: Unique record level identifier
hh_id: Unique household survey identifier
date_dc: Date of data collection, the original input into healthyr function.
date_recall: Date of recall event associated with mortality survey, the original input into healthyr function
enum: The survey team or enumerator ID
admin2: The administrative name of the county where the survey took place.
cluster: The cluster id
sex: Sex of the individual
age_years: Age of the individual in years
join: Yes (1)/No(NA) if the person joined the household after the recall event
left: Yes (1)/No(NA) if the individual left the household after the recall event
birth: Yes (1)/No(NA) if the child was born into the household after the recall event
death: Yes (1)/No(NA) if the individual died since the recall event
death_cause: Categorical responses for causes of death.
death_cause_smart: Categorical response for cause of death coded in line with ENA.
death_location_smart: Categorical response for location of death coded in line with ENA.
death_location: Categorical variable for location of death. Typically categorized into died at current location (1), died during migration (2), died at previous residence (3), or other location (97).
date_dc_date: Date of data collection, as a date type variable
date_dc_month: Month of data collection
date_dc_day: Day of the month of data collection
date_dc_year: Year of data collection
date_dc_char: Date of data collection, as a character type variable
date_recall_date: Date of recall event, as a date type variable
date_recall_month: Month of recall event
date_recall_day: Day of the month of recall event
date_recall_year: Year of recall event
person_time: Number of days observed for individual, from the date of the recall event to the date of data collection.
under_5: Yes (1)/No(NA) if the individual is a child under 5 years of age
under_5_pt: Number of days observed for under 5 year old child, from the date of the recall event to the date of data collection.
join_under5: Yes (1) / No(NA) if the child under 5 joined the household since the start of the recall period.
left_under5: Yes (1) / No(NA) if the child under 5 left the household since the start of the recall period.
birth_under5: Yes (1) / No(NA) if the child under 5 was born into the household since the start of the recall period.
death_under5: Yes (1) / No(NA) if the child under 5 died during the recall period
age_0to2: Yes (1) / No(NA) if the individual is less than 2 years of age.
age_2to5: Yes (1) / No(NA) if the individual is greater than or equal to 2 and less than 5 years of age.
age_5to10: Yes (1) / No(NA) if the individual is greater than or equal to 5 and less than 10 years of age.
age_0to5: Yes (1) / No(NA) if the individual is less than 5 years of age.
age_5plus: Yes (1) / No(NA) if the individual is greater than or equal to 5 years of age.
age_group: Categorical variable grouping individuals into 5 year age groupings.
flag_births: Yes (1) / No(0) Data quality flag if multiple births reported within one household. If flagged, will mark all household members for review.
flag_deaths: Yes (1) / No(0) Data quality flag if multiple deaths reported within one household. If flagged, will mark all household members for review.
flag_birth: Yes (1) / No(0) Data quality flag if a child was reported born since the recall event, but has an age of 1 completed year or greater. Usually recall periods are only about 3 months long.
flag_join_left: Yes (1) / No(0) Data quality flag if a person joined and left a household during the recall period.
flag_missing_sex: Yes (1) / No(0) Data quality flag if the sex of the individual is missing/NA.
flag_missing_age_years: Yes (1) / No(0) Data quality flag if the age_years of the individual is missing/NA.
flag_missing_date_dc: Yes (1) / No(0) Data quality flag if the date_dc is missing/NA.
flag_missing_cluster: Yes (1) / No(0) Data quality flag if the cluster is missing/NA.
flag_missing_enum: Yes (1) / No(0) Data quality flag if the enumerator or team id is missing/NA.
flag_missing_death_cause: Yes (1) / No(0) Data quality flag if the cause of death is missing/NA from a reported death.
flag_missing_death_location: Yes (1) / No(0) Data quality flag if the location of death is missing/NA from a reported death.