Dataset: POLYMOD Social Contacts Data

About this Dataset

POLYMOD Social Contacts Data

Detailed Social Contact Characteristics of 2008 Participants

About this dataset

This dataset is part of the POLYMOD study which offers in-depth insight into the social contacts of participants. It offers a broad range of characteristics regarding individual participants and their households, such as age, gender, occupation, nationality and educational background. In addition to this it captures detailed information on the type and degree of physical contact made by each participant during their interactions with others. Also included are any diary entries or questionnaire responses that provide extra detail on where and with whom these interactions occurred. With its comprehensive breakdown, this dataset provides an invaluable resource for understanding social contact behaviour and how individuals go about forming relationships with those around them

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How to use the dataset

This dataset provides information on the social contacts of participants in the POLYMOD study conducted in 2008. It includes individual characteristics of each participant, such as age, gender, occupation, and educational background as well as details regarding household composition. In addition, it contains information related to the contacts made by these individuals during their study participation. The dataset also involves data from diaries and questionnaires which provide additional insight into who the contacts were with (such as their age and gender) and where the contacts were made (including degree of physical contact).

In order to utilize this dataset effectively:

Review all available columns: As mentioned above, this dataset offers a variety of types of data that can be used to analyze relationships between participants and their social contacts. It is important to become familiar with different columns so that you can gain an understanding of what type of data is available and how it can be applied in your analysis.

Understand the study methods used: To fully understand what types of social contact activities are captured by this dataset it is essential to become familiar with POLYMOD’s research methodologies employed during their 2008 study including mechanisms such as diary keeping used by participants to record their daily activities/contact interactions 3 Identify clear objectives for your analysis: Once you have reviewed all applicable columns/data points within this dataset consider your research questions or objectives at hand prior making any decisions on variables that should be included or excluded from any analyses 4 Develop an appropriate methodology for analysis: A valid approach must be developed for how best to analyze relevant variables within this dataset based upon stated objectives Before beginning pre-specified models must also take into account potential confounding factors consideration should always be making sure not only adequate power but accuracy given context provided

Research Ideas

Analyzing social contact patterns based on individual and household characteristics such as age, gender, occupation, nationality, education level, and other factors.

Investigating the impact of different factors (e.g. geographical location) on the degree of physical contact between participants in different locations.

Examining how problems encountered during the study (e.g missing contacts) affected participants' ability to meet their social contact goals over time and how this can inform future interventions to increase successful contacts outcomes for similar studies in the future

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: 2008_Mossong_POLYMOD_participant_extra.csv

Column name	Description
type	Type of contact (Categorical)
part_occupation	Participant's occupation (Categorical)
part_occupation_detail	Detailed information about the participant's occupation (Categorical)
part_education	Participant's educational background (Categorical)
part_education_length	Length of the participant's educational background (Numeric)
participant_school_year	School year of the participant (Categorical)
participant_nationality	Nationality of the participant (Categorical)
child_care	Whether the participant is providing childcare (Categorical)
child_care_detail	Detailed information about the participant's childcare (Categorical)
child_relationship	Relationship of the participant to the child (Categorical)
child_nationality	Nationality of the child (Categorical)
problems	Problems encountered during the study (Categorical)
diary_how	How the contact was made (Categorical)
diary_missed_unsp	Number of contacts missed due to unspecified reasons (Numeric)
diary_missed_skin	Number of contacts missed due to skin contact (Numeric)
diary_missed_noskin	Number of contacts missed due to no skin contact (Numeric)

File: 2008_Mossong_POLYMOD_hh_extra.csv

Column name	Description
hh_age_1	Age of the first household member. (Numeric)
hh_age_2	Age of the second household member. (Numeric)
hh_age_3	Age of the third household member. (Numeric)
hh_age_4	Age of the fourth household member. (Numeric)
hh_age_5	Age of the fifth household member. (Numeric)
hh_age_6	Age of the sixth household member. (Numeric)
hh_age_7	Age of the seventh household member. (Numeric)
hh_age_8	Age of the eighth household member. (Numeric)
hh_age_9	Age of the ninth household member. (Numeric)
hh_age_10	Age of the tenth household member. (Numeric)
hh_age_11	Age of the eleventh household member. (Numeric)
hh_age_12	Age of the twelfth household member. (Numeric)
hh_age_13	Age of the thirteenth household member. (Numeric)
hh_age_14	Age of the fourteenth household member. (Numeric)
hh_age_15	Age of the fifteenth household member. (Numeric)
hh_age_16	Age of the sixteenth household member. (Numeric)
hh_age_17	Age of the seventeenth household member. (Numeric)
hh_age_18	Age of the eighteenth household member. (Numeric)
hh_age_19	Age of the nineteenth household member. (Numeric)
hh_age_20	Age of the twentieth household member. (Numeric)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

N 2008 Mossong Polymod Contact Common

@kaggle.thedevastator_polymod_social_contacts_data.n_2008_mossong_polymod_contact_common

1.05 MB
97904 rows
15 columns


CREATE TABLE n_2008_mossong_polymod_contact_common (
  "part_id" BIGINT,
  "cont_id" BIGINT,
  "cnt_age_exact" DOUBLE,
  "cnt_age_est_min" DOUBLE,
  "cnt_age_est_max" DOUBLE,
  "cnt_gender" VARCHAR,
  "cnt_home" VARCHAR,
  "cnt_work" VARCHAR,
  "cnt_school" VARCHAR,
  "cnt_transport" VARCHAR,
  "cnt_leisure" VARCHAR,
  "cnt_otherplace" VARCHAR,
  "frequency_multi" DOUBLE,
  "phys_contact" DOUBLE,
  "duration_multi" DOUBLE
);

N 2008 Mossong Polymod Hh Common

@kaggle.thedevastator_polymod_social_contacts_data.n_2008_mossong_polymod_hh_common

53.5 KB
7290 rows
3 columns


CREATE TABLE n_2008_mossong_polymod_hh_common (
  "hh_id" VARCHAR,
  "country" VARCHAR,
  "hh_size" BIGINT
);

N 2008 Mossong Polymod Hh Extra

@kaggle.thedevastator_polymod_social_contacts_data.n_2008_mossong_polymod_hh_extra

85.17 KB
7290 rows
21 columns


CREATE TABLE n_2008_mossong_polymod_hh_extra (
  "hh_id" VARCHAR,
  "hh_age_1" DOUBLE,
  "hh_age_2" DOUBLE,
  "hh_age_3" DOUBLE,
  "hh_age_4" DOUBLE,
  "hh_age_5" DOUBLE,
  "hh_age_6" DOUBLE,
  "hh_age_7" DOUBLE,
  "hh_age_8" DOUBLE,
  "hh_age_9" DOUBLE,
  "hh_age_10" DOUBLE,
  "hh_age_11" DOUBLE,
  "hh_age_12" DOUBLE,
  "hh_age_13" DOUBLE,
  "hh_age_14" DOUBLE,
  "hh_age_15" DOUBLE,
  "hh_age_16" VARCHAR,
  "hh_age_17" VARCHAR,
  "hh_age_18" VARCHAR,
  "hh_age_19" VARCHAR,
  "hh_age_20" VARCHAR
);

N 2008 Mossong Polymod Participant Common

@kaggle.thedevastator_polymod_social_contacts_data.n_2008_mossong_polymod_participant_common

98.91 KB
7290 rows
4 columns


CREATE TABLE n_2008_mossong_polymod_participant_common (
  "part_id" BIGINT,
  "hh_id" VARCHAR,
  "part_age" DOUBLE,
  "part_gender" VARCHAR
);

N 2008 Mossong Polymod Participant Extra

@kaggle.thedevastator_polymod_social_contacts_data.n_2008_mossong_polymod_participant_extra

73.25 KB
7290 rows
17 columns


CREATE TABLE n_2008_mossong_polymod_participant_extra (
  "part_id" BIGINT,
  "type" BIGINT,
  "part_occupation" DOUBLE,
  "part_occupation_detail" DOUBLE,
  "part_education" DOUBLE,
  "part_education_length" DOUBLE,
  "participant_school_year" DOUBLE,
  "participant_nationality" VARCHAR,
  "child_care" VARCHAR,
  "child_care_detail" DOUBLE,
  "child_relationship" DOUBLE,
  "child_nationality" VARCHAR,
  "problems" VARCHAR,
  "diary_how" DOUBLE,
  "diary_missed_unsp" DOUBLE,
  "diary_missed_skin" DOUBLE,
  "diary_missed_noskin" DOUBLE
);

N 2008 Mossong Polymod Sday

@kaggle.thedevastator_polymod_social_contacts_data.n_2008_mossong_polymod_sday

60.06 KB
7290 rows
6 columns


CREATE TABLE n_2008_mossong_polymod_sday (
  "part_id" BIGINT,
  "sday_id" DOUBLE,
  "day" DOUBLE,
  "month" DOUBLE,
  "year" DOUBLE,
  "dayofweek" DOUBLE
);