Process Indicators in Contact Investigation. -н Lucie Blok (66093)

Нөхцлүүд:

Forest plot of the proportion of any form of TB among screened household contacts of TB patients. -н Lucie Blok (66093)

Нөхцлүүд:

Yield of active case finding and proportion of notified SS+ cases found through contact investigation (n = 18). -н Lucie Blok (66093)

Нөхцлүүд:

Comparative Meta-Analysis of Tuberculosis Contact Investigation Interventions in Eleven High Burden Countries -н Lucie Blok (66093)

Нөхцлүүд:

Characteristics of respondents involved in community engagement. -н Priyanka Agrawal (721285)

Нөхцлүүд:

Community engagement activities in GPEI as reported by respondents. -н Priyanka Agrawal (721285)

Нөхцлүүд:

Facilitators and barriers to community engagement activities. -н Priyanka Agrawal (721285)

Нөхцлүүд:

Comparison between reported and surveyed PC coverage against STH in ten districts of Ethiopia, 2019. -н Mekuria Asnakew Asfaw (9034220)

Нөхцлүүд:

Number of gender and sexual diversity training participants by country. -н Tonia Poteat (586050)

Нөхцлүүд:

Conditional logit attribute impacts. -н Alisa E. White (5628716)

Нөхцлүүд:

Study design for gender and sexual diversity training. -н Tonia Poteat (586050)

Нөхцлүүд:

Percent of respondents who agree and strongly agree with statements. -н Tonia Poteat (586050)

Нөхцлүүд:

Choice scenario presented to respondents in mail survey. -н Alisa E. White (5628716)

Нөхцлүүд:

Illustrative quotes of participant changes after gsd training. -н Tonia Poteat (586050)

Нөхцлүүд:

Results from binary-choice model: Random effects logit model. -н Alisa E. White (5628716)

Нөхцлүүд:

Percent respondents, non-respondents, and undeliverable surveys by state of residence of landowner in survey sample. -н Alisa E. White (5628716)

Нөхцлүүд:

Number of self-reported reasons for not swallowing drugs in ten districts of Ethiopia, 2019 (N = 2137). -н Mekuria Asnakew Asfaw (9034220)

Нөхцлүүд:

Conditional logit level-scale impacts. -н Alisa E. White (5628716)

Нөхцлүүд:

Willingness to accept carbon credit program feature from random effects logit model binary choice (USD per acre per year/choice). -н Alisa E. White (5628716)

Нөхцлүүд:

Attributes and levels used to create hypothetical carbon credit programs. -н Alisa E. White (5628716)

Нөхцлүүд: