a. Positive ion mode, significant difference, metabolite level clustering heat map (A), mild PTOA group VS severe PTOA group, (B) mild PTOA group VS normal group, (C) severe PTOA g... by Peng-fei Han (694841)

Three accident scenarios: a) forward vehicle collision; b) The sudden cut-in of lateral vehicles ahead; c) adjacent vehicle occupies the lane. by Chengmin Zhou (14554562)

Cessation duration and hazard ratio (HR) for CVD and mortality outcomes: a cubic spline model evaluation. by Erfan Tasdighi (9144667)

ARIMA results to determine effects of COVID-19 pandemic on essential health services in Addis Ababa, Ethiopia. by Admas Abera (11821659)

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Trends of HIV related services in Addis Ababa Ethiopia from July 2019 to October 2020. by Admas Abera (11821659)

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In-patient services utilizations in selected health facilities in Addis Ababa from July 2019 to October 2020. by Admas Abera (11821659)

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Trends of maternal health service utilization in Addis Ababa Ethiopia; July 2019 to October 2020. by Admas Abera (11821659)

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Trends in outpatient services utilizations in Addis Ababa Ethiopia from July 2019 to October 2020. by Admas Abera (11821659)

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Trend of TB cases detected and TB loss-to-follow up in Addis Ababa Ethiopia from July 2019 to August 2020. by Admas Abera (11821659)

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Trends of diabetes mellitus and hypertension; July 2019 to October 2020 in Addis Ababa Ethiopia. by Admas Abera (11821659)

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Summary statistics of essential health services utilization from July 2019 to October 2020 in Addis Ababa, Ethiopia. by Admas Abera (11821659)

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Trends of expanded immunization program in Addis Ababa Ethiopia from July 2019 to October 2020. by Admas Abera (11821659)

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Trends of COVID-19 pandemic on essential health services in Addis Ababa, Ethiopia, from July 2019 to October 2020. by Admas Abera (11821659)

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Schematic diagram of time stamp synchronization between LIDAR and camera in a multi-sensor system. by Hongliang Zou (20707270)

BMI groups by SES. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

BMISES_Data_Part2. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Logistic regression for LSES population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Logistic regression for HSES population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

Logistic regression for overall population. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”

BMISES_Data_Part1. by Krystal Hunter (6820052)

“…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”