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Table 2 Posterior summaries of the model parameters

From: High-resolution age-specific mapping of the two-week illness prevalence rate based on the National Health Services Survey and geostatistical analysis: a case study in Guangdong province, China

Parameters

Estimated median (95% BCI)

Gender (male) #

 Female

0.0380 (− 0.0043, 0.0803)

Education level (no education)

 Primary

0.0035 (− 0.0772, 0.0844)

 Junior

− 0.0968 (− 0.1871, − 0.0063)*

 Senior

− 0.1544 (− 0.2582, − 0.0506)*

 Bachelor or above

− 0.1508 (− 0.2860, − 0.0160)*

Marital status (unmarried)

 Married

− 0.1253 (− 0.2346, − 0.0152)*

 Widowed

0.1518 (0.0177, 0.2864)*

 Divorced

− 0.0993 (− 0.3620, 0.1551)

 Other

− 0.6890 (− 0.9716, − 0.4076)*

Employment status (employed)

 Unemployed

0.5886 (0.5009, 0.6763)*

 Student

0.0153 (− 0.1935, 0.2224)

 Retired

0.5290 (0.4504, 0.6078)*

Occupation (type 1)$

 Type 2

0.0228 (− 0.1183, 0.1644)

 Type 3

0.1444 (− 0.0086, 0.2976)

 Type 4

0.0410 (− 0.0934, 0.1763)

 Type 5

0.0911 (− 0.0457, 0.2290)

 Type 6

0.0648 (− 0.0888, 0.2187)

 Type 7

− 0.0328 (− 0.1627, 0.0982)

Type of household registration (rural)

 Urban

0.0453 (− 0.0356, 0.1259)

Location of household registration (in this county)

 Out of this county but in this province

0.0111 (− 0.1318, 0.1519)

 Out of this province

− 0.0117 (− 0.1530, 0.1283)

 Undetermined

− 0.1043 (− 0.4821, 0.2466)

 Living space per capita

0.2439 (0.0870, 0.4007)*

No-housing ratio (< 0.9%)

 0.9–2.4

0.2979 (− 0.0153, 0.6110)

 2.4–4.6

0.0639 (− 0.3150, 0.4426)

 ≥ 4.6

− 0.0220 (− 0.3756, 0.3312)

Proportion of households without sanitary toilets (< 0.3%)

 0.3–0.7

0.0228 (− 0.2849, 0.3302)

 0.7–1.6

0.2597 (− 0.0484, 0.5676)

 ≥ 1.6

0.4634 (0.0331, 0.8935)*

 Travel time to cities

− 0.0767 (− 0.1687, 0.0151)

Salary per capita (< ¥ 4.0 × 104/year)

 4.0–4.2

0.0511 (− 0.3374, 0.4393)

 4.2–4.7

0.1760 (− 0.2763, 0.6281)

 ≥ 4.7

0.6969 (0.3395, 1.0540)*

NDVI&

− 0.1074 (− 0.2088, − 0.0061) *

Elevation

0.1330 (0.0242, 0.2416)*

Range (km)

219.4650 (172.1405, 280.8523)

Spatial variance

1.5884 (1.0445, 2.4707)

Age correlation coefficient \(\rho\)

0.8409 (0.7579, 0.8999)

Non-spatial variance \({\delta }^{2}\)

0.1983 (0.1623, 0.2422)

  1. #Baseline reference are reported in brackets
  2. *Significant, determined by no inclusion of zero in the 95%BCIs
  3. $Occupation types classified in the survey: type 1, heads of organizations, enterprises or institutions; type 2, professionals or technicians; type 3, civil servants; type 4, business/service workers; type 5, agricultural, forestry, animal husbandry, fishery or water conservancy production workers; type 6, production and transportation equipment operators; and type 7, soldiers or others. &Normalized difference vegetation index