ライフサイエンスコーパス: household

1 ties in Guatemala (N = 196 randomly selected households).

2 (15-49 years) was randomly selected in each household.

3 c status and living in an urban or periurban household.

4 ting for repeated measures and clustering by household.

5 s to be identified by sampling just 17.7% of households.

6 provide the greatest relief to lower-income households.

7 x infections showed strong clustering within households.

8 mographic status were delivered for heads of households.

9 96 children and adults) in Nepal, and 21 310 households (108 031 children and adults) in Pakistan.

10 lds surveyed at baseline in 2014-2015 (1,680 households, 16 clusters in control; 1,692 households, 16

11 80 households, 16 clusters in control; 1,692 households, 16 clusters in couples' UBL; 1,707 household

12 ouseholds, 16 clusters in women's UBL; 1,691 households, 16 clusters in men's UBL).

13 useholds, 16 clusters in couples' UBL; 1,707 households, 16 clusters in women's UBL; 1,691 households

14 I -28.8% to -28.6%) compared to low-educated households (-21.5%, 95% CI -21.6% to -21.4%), likely bec

15 ed 21 to 44 years (46%), and from low-income households (32%).

16 We enrolled 31 841 households (53 926 children) in Bangladesh, 25 510 house

17 From 278 MDR-TB/RR-TB index case households, 743 HHCs were enrolled; the median age of HH

18 olds (53 926 children) in Bangladesh, 25 510 households (84 196 children and adults) in Nepal, and 21

19 The serial interval between index and household-acquired cases ranged from 3.2 to 3.6 days and

20 s from a random, approximately 20% sample of households across the 15 communities was enrolled to ass

21 nsive use of Sodium Dodecyl Sulfate (SDS) in households, agricultural operations, and industries is l

22 m future efforts to characterize exposure to household air pollution and for other contexts.

23 eg, hypertension and education), others (eg, household air pollution and poor diet) vary by a country

24 ty from the RR meta-estimates, prevalence of household air pollution exposure, and disease-specific m

25 0,000 deaths occur annually from exposure to household air pollution from the use of biomass cooking

26 atric, and maternal diseases associated with household air pollution has declined worldwide but remai

27 The Household Air Pollution Intervention Network (HAPIN) tri

28 scribes the exposure data collection for the Household Air Pollution Intervention Network (HAPIN), a

29 Household air pollution was associated with 1.8 million

30 tric, and maternal outcomes from exposure to household air pollution, compared with no exposure.

31 eeded to reduce the adverse health impact of household air pollution, especially in LMICs.

32 In MICs and LICs, household air pollution, poor diet, low education, and l

33 terizing exposure-response relationships for household air pollution.

34 al health burden associated with exposure to household air pollution.

35 symptoms of depression), grip strength, and household and ambient pollution.

36 e data that include roughly 5 million linked household and population records from 1850 to 2015 to do

37 odel which captures transmission both within households and communities, adapted to the changing demo

38 patients as an early predictor of high-risk households and high-risk groups of contacts to help prio

39 s the most effective in countries with small households and little intergenerational coresidence, suc

40 We randomly selected households and randomly selected one individual from all

41 d protection at the level of the individual, household, and community.

42 in-depth assessment of national, community, household, and individual drivers of nutrition change an

43 ors of SAM while controlling for individual, household, and neighbourhood factors using datasets from

44 e children was explained by the individual-, household- and neighbourhood-level factors.

45 fic attention paid to national-, community-, household-, and individual-level factors, as well as rel

46 of 212 (10.8%) participants reported SSTI in Household Approach households, while 23 of 236 (9.7%) pa

47 ersonalized Approach was non-inferior to the Household Approach in preventing SSTI.

48 A household approach to decolonization decreases skin and

49 Children from lower-income households are at increased risk for poor health, educat

50 effort to quantify chemical exposure due to household articles such as furniture and building materi

51 ed if transmission is highly concentrated in households, as suggested by an empirical but robust rule

52 appears to be poorer when they are the sole household breadwinner.

53 Household burning of biomass or kerosene, especially wit

54 al sectors achieve income gains for targeted households, but knock-on effects lead to increased harve

55 tion was similar among the majority of extra-household case contacts and corresponding controls (47%)

56 ealth Initiative involved community mapping, household census, multidisease community health campaign

57 and receiving vitamin A supplementation) and household characteristics (ie, type of drinking water an

58 sion were used to relate class membership to household characteristics, self-reported weight status,

59 ective at preventing tuberculosis disease in household child contacts (<5 years), but is poorly imple

60 Activities such as household cleaning can greatly alter the composition of

61 n 35 days ago-adjusted for age, country, and household clustering-was 0.13 (95% CI: 0.08, 0.20), P <

62 We studied the risk of CPE household co-colonization and transmission in Ontario, C

63 re, smoking, overweight, and obesity) at the household, community, district, and state level.

64 l trial, WASH Benefits) in rural Bangladeshi household compounds by assessing prevalence ratios, diff

65 that contamination of water systems used for household consumption or agriculture are key transmissio

66 and carbon emissions associated with future household consumption, by linking Industrial Ecology too

67 tential risk-factors, staff with a confirmed household contact were at greatest risk (adjusted odds r

68 fections, 260 were acquired from an infected household contact.

69 Household contacts (HHCs) of persons with TB are a key p

70 istant tuberculosis (MDR-TB) cases and their household contacts (HHCs) to inform the development of a

71 acterium tuberculosis-exposed but uninfected household contacts (n = 32).

72 .009) and higher secondary attack rate among household contacts (P = .03), after adjustment for epide

73 25% prevalence of TST positivity among 1000 household contacts aged 0-17 years, a treat-all approach

74 ith tuberculosis (TB) and their asymptomatic household contacts and found that the patients with TB h

75 We present 2 tools that identify household contacts at high risk for TB disease based on

76 , we enrolled and prospectively observed 198 household contacts exposed to SARS-CoV-2.

77 In our cohort, 296 (2.1%) household contacts had coprevalent TB and 145 (1.9%) adu

78 Sixteen (9%) household contacts in 16 (17%) households were CPE-colon

79 ru, in which we enrolled and followed 14 044 household contacts of adults with pulmonary TB.

80 From February 2016 until March 2017, all household contacts of DR-TB patients enrolled at the Ind

81 , atypical, and asymptomatic infection among household contacts of pertussis cases and to explore the

82 Household contacts remain and important key population f

83 We interviewed patients and all household contacts to obtain demographics and medical hi

84 Nine percent of household contacts were CPE-colonized; 3% were a result

85 ex cases with influenza A and 1,506 of their household contacts were enrolled.

86 onfirmed influenza virus infection and their household contacts were followed for 9-12 days to identi

87 Household contacts were more likely to be colonized if t

88 losis (TB) cases and their latently infected household contacts who developed active TB up to 5.25 ye

89 udy, tuberculosis occurred in none of the 76 household contacts who received INH preventive therapy c

90 (8 of 273) of those who did not.Conclusions: Household contacts who received INH preventive therapy h

91 th-care workers; and quarantine centres, for household contacts who test negative.

92 Household contacts who themselves had diabetes mellitus

93 tuberculosis and 14,044 tuberculosis-exposed household contacts who we followed for 1 year for the oc

94 Fourteen studies reported household contacts with mild/atypical pertussis.

95 lable data, giving preventive therapy to all household contacts would probably reduce the incidence o

96 Staphylococcus aureus (CA-MRSA) SSTI, their household contacts, and pets were enrolled.

97 e contact investigations are implemented for household contacts, particularly those with additional r

98 l stool samples from 271 OPV2 recipients and household contacts, we were able to examine the extent o

99 ntial evidence of secondary infections among household contacts.

100 ive group A Streptococcus disease risk among household contacts.

101 ith influenza A(H3N2) or B infection and 436 household contacts.

102 ust and soil, in addition to other potential household contaminants and allergens.

103 Screening of women in households continued until 20-30 eligible participants w

104 d farm animal exposure, cigarette smoke, and household cooking and heating fuels.

105 mpacts of expanding LPG primary adoption for household cooking in Cameroon over two periods: a) short

106 istribution and reduction using three common household cooking methods.

107 secretions (young children, sexual activity, household crowding, low income) probably increase the ri

108 in Sweden using population, employment, and household data.

109 nancial resources, sociocultural conditions, household decision-making) demands innovative approaches

110 o experienced SSTI during the HOME study) or Household (decolonization performed by all household mem

111 so collected data about disease severity and household demographics and assets.

112 below the federal poverty line and with high household densities had higher crude positivity rates.

113 ng all built environment exposure variables, household density and road/intersection ratio were found

114 uals living in areas with elevated levels of household density had 1.24-fold increased odds of having

115 insurance status, education, population and household density.

116 pants reported SSTI in Personalized Approach households; difference in proportions -1.1% (95% CI -6.7

117 timated decline in diarrheal prevalence with household distance from a canal persisted after controll

118 Household drinking water storage is commonly practiced i

119 he circulation of respiratory viruses within households during the winter months during the emergence

120 service deserts were more likely to live in households earning below the US federal poverty level, l

121 n the short-term, increased food insecurity, household economic disruption, household stress, and int

122 A 5-category measure of household employment configuration was derived from pare

123 between household labor-force participation (household employment configuration) and the mental healt

124 children nor women are adversely affected by household employment configuration, nor are they disadva

125 Active testing of initial case's households enabled estimation of household prevalence.

126 Among NHANES subjects, the geometric mean household endotoxin level was 15.5 EU/mg (GSE 0.5).

127 , and history of wheezing in the past year), household endotoxin level was associated with sensitizat

128 to understanding the health implications of household energy interventions, interpreting analyses ac

129 x case remained CPE-colonized at the time of household enrollment (OR 7.00, 95% CI 1.92-25.49), or if

130 lding characteristics, occupant behaviour or household factors.

131 lling for multiple socioeconomic factors and household food insecurity.

132 of parental education, household income, and household food security status.

133 conducted among 498 members of these case's households found prevalent infection among 57%, excludin

134 e and providing power with an a.c. supply at household frequency, we demonstrate that hBN-SSWC is abl

135 representing the social structure-including households, friendships, employment and schools.

136 Randomly-selected households from different city regions were visited.

137 LLINs were delivered to households from March 25, 2017, to March 18, 2018, 32 cl

138 When looking at all groceries, households from the class SSB had higher total energy pu

139 Limited evidence suggests a link between household fuel use and gastrointestinal (GI) cancers.

140 o phthalates found in building materials and household furnishings.

141 We find that almost all relevant households (>98%) were willing to accept this commitment

142 e household surveys (every 4-6 months), each household head was interviewed to record demographic com

143 ased on preregulation trends, overall and by household-head educational attainment.

144 Of households included in the study, 37% of household heads had low education (less than high school

145 tural gas to electric heat pumps would raise household heating bills and increase damages from carbon

146 Many households, however, continue to regularly use indoor bi

147 h is comparable to the usage of a two-person household in Switzerland; however, idle state consumptio

148 usters were selected in each health zone, 22 households in each cluster, and one woman of reproductiv

149 However, among households in high-income countries with incomes higher

150 ed petroleum gas stoves and fuel among 3,200 households in India, Rwanda, Guatemala, and Peru.

151 ed food insecurity among the world's poorest households in low-income countries.

152 y 2017 and November 2018, we surveyed 25 521 households in Nepal (16 769 in urban Kathmandu and 8752

153 based study of influenza transmission within households in Nicaragua.

154 stem removed the need for pre-enumeration of households in sampling areas, simplified logistics and c

155 6 months (October-December 2016) among 3,393 households in Tanzania using WHO-recommended methods.

156 an equally strong predictor: Renter-occupied households in the 50 largest US metros were 1.61 times m

157 of energy from sweet snacks was observed for households in the classes SSB (18.5%, 95% CI 18.1%-19.0%

158 Households in the control arm were offered a short educa

159 e, 106 households were randomly sampled, and households in the intervention arms were invited to part

160 morbidity, and mortality among food-insecure households in the long-term.

161 From November 2019 to April 2020, 303 households in the Seattle area were remotely monitored i

162 ntimicrobial-resistant bacteria, we surveyed households in two rural and two urban communities in Gua

163 om the published literature) detected within households in which a programmatically detectable infect

164 Of households included in the study, 37% of household heads

165 ewed to record demographic components of the household, including composition, migration, and mortali

166 on the implications of contract farming for household income and labor demand, finding that contract

167 rting a previous diagnosis of diabetes and a household income below 138% of the US federal poverty li

168 We used food price and household income data to estimate affordability of EAT-L

169 patients were Black, and 65.5% had an annual household income of less than $40,000.

170 ioeconomic factors (health insurance, median household income of ZIP code, and distance from ZIP code

171 Prior to the SLIV intervention, the median household income was $51,849 in the intervention site an

172 ents that were more than 10% of their annual household income were considered to have experienced cat

173 erences across levels of parental education, household income, and household food security status.

174 l age at birth, maternal level of education, household income, as well as sex, chronological age, and

175 st per day to each country's mean per capita household income, calculated the proportion of people fo

176 race, low educational attainment, low annual household income, zip code poverty, poor public health i

177 ly, we examined heterogeneity by country and household income.

178 ersons living in zip codes with lower annual household income.

179 a case-ascertained, community-based study of household influenza virus transmission set in Managua, N

180 is aimed to examine the associations between household labor-force participation (household employmen

181 eralized estimating equations to account for household-level clustering.

182 ART initiation on patients' individual- and household-level economic outcomes.

183 In 38 households we explored the effect of household-level mosquito exposure and individual insecti

184 multistage cluster sampling in MSs (because household lists were unavailable).

185 -21.4%), likely because of the high-educated households' lower level of high-in beverage purchases in

186 lled 1242 of 1397 adults (89%) living in 533 households (median age 41 years; 43% male).

187 urchase beverages regularly (i.e., >52 l per household member annually) (n = 8,675).

188 fection (LTBI) based on close contact with a household member with TB or a recent tuberculin skin tes

189 higher total energy purchases (1,943.6 kcal/household member/day, 95% CI 1,901.7-1,985.6), a smaller

190 ergy from beverages in that class (17.9 kcal/household member/day, 95% CI 16.2-19.7).

191 population-representative survey, and their household members aged 5 years and older.

192 ts and controls were examined, together with household members and immediate neighbors.

193 staff are advised to stay at home if they or household members experience coronavirus disease 2019 (C

194 se who saw pediatric patients and those with household members under the age of five were at increase

195 rsonalized (decolonization performed only by household members who experienced SSTI during the HOME s

196 on measures to prevent SSTI when targeted to household members with prior year SSTI would be non-infe

197 r Household (decolonization performed by all household members) approaches.

198 TI would be non-inferior to decolonizing all household members.

199 pation, and recent history of diarrhea among household members.

200 nd randomly selected one individual from all household members.

201 These households might additionally benefit from policies targ

202 purchases were collected from urban-dwelling households (n = 2,383) participating in the Kantar WordP

203 ass Diet (41.2%, 95% CI 37.7%-44.7%) despite households obtaining little energy from beverages in tha

204 g to health-care centres; contact tracing in households of cases; isolation centres, for cases not re

205 les outbreaks, the benefit-risk ratio to the households of vaccinated children is 3 (0-10); if the ri

206 We enrolled adults who had household or occupational exposure to someone with confi

207 s infected with malaria are clustered within households or neighbourhoods.

208 9), and higher for nine antibiotics in urban households (OR > 1.89-9.6).

209 th presumptively treating residents of index households over a sustained time period could contribute

210 hose had a presence of elderly people in the household (P = 0.006).

211 270 households participated in influenza-like-illness survei

212 rease in sugar purchased in these drinks per household per week.

213 ction in sugar purchased in these drinks per household per week.

214 r cluster (5200 per survey); a subset of ten households per cluster (1040 per survey) were randomly s

215 al surveys were done in 50 randomly selected households per cluster (5200 per survey); a subset of te

216 UBL, or couples' UBL, and approximately 106 households per village were randomly selected for inclus

217 orator inspired by and derived from a common household piezoelectric stove lighter.

218 exposure is likely a result of corrosion of household plumbing and well components, because homes re

219 tate, along with risk factors, outcomes, and household prevalence among initial cases subject to in-d

220 tial case's households enabled estimation of household prevalence.

221 r Goods (FMCG) panel, a large representative household purchase panel of food and beverages brought h

222 r, lower, and no-levy tiers controlling with household purchase volumes of toiletries.

223 ed data from Kantar Worldpanel, a commercial household purchasing panel with approximately 30,000 Bri

224 Three billion people burn nonclean fuels for household purposes.

225 Testing workers in household quarantine (S2) reduces absences the most by 3

226 risk, our modeling suggests testing staff in household quarantine or all staff, depending on infectio

227 , (S2) without COVID-19-like symptoms but in household quarantine, and (S3) all staff.

228 AZ < -2) and intermediary outcomes including household's food insecurity, mother-child pairs' diet an

229 empirical but robust rule of thumb based on household secondary attack rate.

230 n the private wells studied, suggesting that household septic systems are the source of this contamin

231 High-educated and low-educated households showed similar absolute reductions in high-in

232 that lockdown measures would reduce that to household size (about 2.5), we reproduce actual infectio

233 cted on family history of allergic diseases, household size, socioeconomic status, delivery mode, ant

234 partner's highest educational qualification, household social class, parity, child's ethnicity, mothe

235 h a major risk factor for exposure being low household socioeconomic status.

236 d insecurity, household economic disruption, household stress, and interruptions in healthcare will c

237 Conversely, the household structure is only needed if transmission is hi

238 n countries with large and intergenerational households, such as Bangladesh.

239 hcare facility surfaces (12%, n = 1429), and household surfaces (3%, n = 161).

240 Combining two core research approaches (household survey analysis, process modeling), we elucida

241 Additionally, we conducted a household survey in each catchment area to characterize

242 ealth Survey was a nationally representative household survey which collected dried blood spots from

243 TT) analysis was conducted, evaluating 6,770 households surveyed at baseline in 2014-2015 (1,680 hous

244 During the household surveys (every 4-6 months), each household hea

245 of cross-sectional nationally representative household surveys carried out in 55 LMICs from 2005 thro

246 viewed design and instruments for 4 national household surveys, 2012-2016, for their ability to produ

247 alculations of cluster-randomized trials and household surveys, and inform the targeting of policies

248 luding interviews, water point observations, household surveys, focus groups, and water quality testi

249 Using two jointly nationally representative household surveys, which sampled 1,082,100 adults across

250 atabase (2019 version), comprising data from household surveys.

251 n delivered to men and led to more equitable household task-sharing when delivered to men and couples

252 While 66.2% of individuals lived in a household that owned a bed net, only 36.6% reported slee

253 solates was lower for five antibiotics among households that boiled raw milk before consumption (OR 0

254 Amongst households that regularly purchase beverages, those that

255 respiratory illnesses are transmitted within households, the evidence base for SARS-CoV-2 is nascent.

256 apita/day; p < 0.001), but for high-educated households this amounted to a larger relative decline (-

257 , and we surveyed a total of 2381 low-income households to estimate willingness-to-pay.

258 men per site are being recruited in the same households to evaluate indicators of cardiopulmonary, me

259 e 1.61 times more likely than owner-occupied households to lack piped water.

260 We are randomly assigning households to receive LPG stoves, an 18-month supply of

261 ependent predictor of both increased risk of household transmission (P = .009) and higher secondary a

262 Intestinal colonization and within-household transmission may underlie H30R's emergence.

263 Data on household transmission of carbapenemase-producing Entero

264 Applied to data from a previous household transmission study of influenza A infection, w

265 In this household transmission study, index cases with confirmed

266 Household transmission was confirmed in 3/177 (2%) cases

267 acts were CPE-colonized; 3% were a result of household transmission.

268 ge, race, country of birth, total people per household, US region, and history of wheezing in the pas

269 of the 4 international research centers from households using biomass fuels.

270 the influence of indoor coal combustion and household ventilation on outdoor air pollution has not b

271 e period between enrolment and one follow-up household visit done about 60 days later (range 50-90 da

272 The regular salt in enrolled households was retrieved and replaced, free of charge, w

273 59,483 North Carolina children matched with household water source information.

274 Interventions, such as clean cookstoves, household water treatment, and improved sanitation facil

275 dations offer more protections for nonpublic household water well users than any resource we have fou

276 In 38 households we explored the effect of household-level mos

277 y analysing data from large-scale studies of households, we estimate that pneumococcal conjugate vacc

278 Household wealth was positively correlated with healthca

279 prespecified covariables including age, sex, household wealth, insecticide-treated bed net use, and v

280 analyses of U5MR by ethnicity to adjust for household wealth, maternal education, and urban-rural re

281 Dogs in each household were evaluated and owners completed a question

282 Sixteen (9%) household contacts in 16 (17%) households were CPE-colonized.

283 stering within index households, where index households were defined based on whether they contained

284 Households were identified using simple random sampling

285 Households were randomized 1:1 to the Personalized (deco

286 Between March and August 2020, 671 households were randomly assigned: 337 (407 participants

287 In each village, 106 households were randomly sampled, and households in the

288 35 883 households were selected from municipal rolls using two-

289 Households were surveyed at baseline and immediately pos

290 esting that an intervention by targeting the households where children are vulnerable is important to

291 ere are programmatic options for identifying households where residual infections are likely to be fo

292 e odds of infections clustering within index households, where index households were defined based on

293 ncreases transmission risk in the family and households, whereas isolation and quarantine reduce risk

294 tion is stronger for children from wealthier households, which might indicate that milk consumption i

295 icipants reported SSTI in Household Approach households, while 23 of 236 (9.7%) participants reported

296 One hundred households with 800 contacts were enrolled: 353 (44.1%)

297 status in that season, limiting analysis to households with infection(s).

298 eloping countries are providing poor fishing households with new fishing boats (fishing capital) that

299 itions (4.4% [3.5-5.6] for those living with households with six or more people).

300 020, we enrolled 2766 participants from 1339 households, with a demographic distribution similar to t