Socioeconomic and demographic characterization of an endemic malaria region in Brazil by multiple correspondence analysis

Lana, Raquel M.; Riback, Thais I. S.; Lima, Tiago F. M.; da Silva-Nunes, Mônica; Cruz, Oswaldo G.; Oliveira, Francisco G. S.; Moresco, Gilberto G.; Honório, Nildimar A.; Codeço, Cláudia T.

doi:10.1186/s12936-017-2045-z

Table 2 Summary of the variables and its categories, organized by block, and the result of the chi-squared test for differences in their distribution between study zones (ML-u, ML-r, RA-u, RA-r) and between households with and without malaria in the last 12 months

From: Socioeconomic and demographic characterization of an endemic malaria region in Brazil by multiple correspondence analysis

Block description	Variables	Category	n	\(X^{2}\)Zone	\(X^{2}\)Malaria
Dwellers demographics (AB)	Study zone	Rural Mâncio Lima	107	RV	++
		Urban Mâncio Lima	190
		Rural Rodrigues Alves	121
		Urban Rodrigues Alves	102
	Maximum schooling^a	Illiterate	19	++	+
		Incomplete middle school	144
		Complete middle school + incomplete high school	95
		Complete high school	173
		Incomplete or complete undergraduation	86
	Adult illiteracy ≥ 18 years old	None	404	++	+
		At least one	116
	Adult illiteracy ≥ 18 years old	None	404	++	++
		One	86
		Two	30
	Adult illiteracy > 18 and < 60 years^a	None	448	++	++
		One	61
		Two	11
	Adult illiteracy ≥ 60 years old	None	467	−	−
		One	43
		Two	10
	Gender in adults	Heterogeneous = men and women	443	+	++
		Homogeneous = only one gender	77
	Child	None	176	++	+
		At least one	344
	Elderly	None	409	−	−
		At least one	111
Malaria information for the interviewed and dwellers(CDE)	Report of malaria in the last 12 months	None	287	++	RV
		At least one	233
Household goods (F)	Stove	Yes	492	++	−
		No	28
	Refrigerator	Yes	433	++	−
		No	87
	Television^b	Yes	461	++	−
		No	59
	Washing machine^b	Yes	305	++	+
		No	215
	Iron^b	Yes	177	++	+
		No	343
	Sofa	Yes	344	++	−
		No	176
	Blender^b	Yes	340	++	+
		No	180
	Video tape or dvd	Yes	234	++	−
		No	286
	Microwave	Yes	56	++	++
		No	464
	Car	Yes	56	++	−
		No	464
	Motorcycle	Yes	194	++	−
		No	326
	Motor boat^b	Yes	184	++	−
		No	336
	Horse	Yes	47	++	++
		No	473
	Ox^b	Yes	126	++	−
		No	394
	Chicken	Yes	335	++	++
		No	185
	Pig	Yes	74	++	−
		No	446
	Chainsaw	Yes	115	++	+
		No	405
	Mobile phone type smartphone	Yes	141	++	−
		No	379
	Internet on the mobile phone	Yes	121	++	−
		No	399
	Facebook	Yes	68	++	−
		No	452
	Fishpond^a,b	Presence of reservoir with or without fish	49	++	+
		None	471
	If has computer and if has internet on the computer	None	441	++	−
		Only computer	34
		Both	45
Occupation and maintenance of the household (G)	Dweller working in agriculture^b	Yes	170	++	++
		No	350
	Works fishing or sailing fish	Yes	47	++	−
		No	473
	Sells products collected from the forest	Yes	6	−	−
		No	514
	Works in market	Yes	14	+	−
		No	506
	Government employee	Yes	73	++	−
		No	447
	Works with formal contract	Yes	39	++	−
		No	481
	Driver or boatman	Yes	12	+	−
		No	508
	Social benefits as Bolsa Familia, Bolsa Verde, Bolsa Pesca and payments	Yes	303	++	+
		No	217
	Labor benefits as: retirement, health assistance, unemployment benefits and pensioner	Yes	158	++	−
		No	362
Characteristics of the household (H)	If the house has or not ceiling lining^b	Throughout the household	53	++	+
		In part of the household	81
		Do not have	386
	Type of house floor	Cement or ceramics	187	++	−
		Wood	333
	Cracks in the house^b	It has cracks	397	++	−
		It has not cracks	123
	Wall material^b	Brick or brickwork	99	++	+
		Wood	421
Household access (I)	Locality access^a,b	Access by river	108	++	++
		Paved road	270
		Dirt road, passage by trail or pathway	142
	Traffic of some motor vehicle by the road when is raining^b	Do not have road	112	++	+
		None	37
		Some vehicle pass through	371
	If the road or access to the house used to flood^a,b	Floods	114	++	−
		Do not flood	406
	If the flood reach the door house	Yes	62	++	−
		No	458
	If there is a swamp or a small river close to the house	Yes	432	++	−
		No	88
Water supply and garbage disposal	If there is piped water in the household^b	Do not have	161	++	−
		Outside the household	201
		Inside the household	158
	If the water used to drink or cook in the house came from the public service^b	Yes	260	++	++
		No	260
	If the water used to drink or cook in the house came from natural water reservoirs^b	Yes	147	++	+
		No	373
	Place of bathing is open or closed	Water bodies or external area of the household	156	++	−
		Bathroom or closed place	364
	Place for physiological needs^b	Toilet	215	++	+
		Cesspool or septic tank	246
		Open place type backyard or forest	59
	Place for washing the dishes is open or closed^b	Water bodies or external area of the household	331	++	++
		Inside household	189
	Garbage is inappropriately discarded^b	Yes	283	++	++
		No	237
	Garbage collected by public service^b	Yes	271	++	++
		No	249
Access to electricity (M)	It has electricity in the house	Yes	483	++	−
		No	37
	Type of electricity in the house^b	Do not have	37	++	+
		Electricity by generator	72
		Electrical network	411
Mobility and potential exposure to malaria (NO)	Frequency which reach water bodies and/or forest^a,b	Rarely or never	208	++	++
		Weekly, once or twice a week	143
		Daily, usually they are riverine population	169
	Frequency which sleeps exposed in forests, close to the river, etc.	Rarely or never	414	++	++
		Monthly, once or twice a month	73
		Weekly, once or twice a week	24
		Daily	9
	Frequency which takes recreation bathe	Never	355	++	+
		Sometime, monthly or less	30
		Probably every month or weekly	24
		Every day, in general, they are the riverine population	111
	Frequency which is used to fish or take products on the forest	Never	239	++	−
		Sometime, probably monthly or less	263
		Probably every month or weekly	4
		Every day	14
	Displacement to fetch social benefits or payments^b	Yes	258	++	++
		No	262
	There is bednet in the house	Yes	486	++	+
		No	34
	Never fails to use bednet	Every day, without exception	307	++	−
		Not regularly	213

RV response variable or supplementary variable
^aRecategorized variables
^bVariables in the final model

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