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Busoga Forestry Company preterm birth rates
A summary of PTBi intrapartum package intervention, contextual modifications, and key insights

Preterm Birth Rates, supplied by Busoga Forestry Company, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/preterm birth rates/product/Busoga Forestry Company
Average 90 stars, based on 1 article reviews

preterm birth rates - by Bioz Stars, 2026-06

90/100 stars

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1) Product Images from "Implementing an intrapartum package of interventions to improve quality of care to reduce the burden of preterm birth in Kenya and Uganda"

Article Title: Implementing an intrapartum package of interventions to improve quality of care to reduce the burden of preterm birth in Kenya and Uganda

Journal: Implementation Science Communications

doi: 10.1186/s43058-021-00109-w

Figure Legend Snippet: A summary of PTBi intrapartum package intervention, contextual modifications, and key insights

Techniques Used: Modification

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Journal: Obstetrics and Gynecology

Article Title: Preterm Birth Frequency and Associated Outcomes From the MATISSE (Maternal Immunization Study for Safety and Efficacy) Maternal Trial of the Bivalent Respiratory Syncytial Virus Prefusion F Protein Vaccine

doi: 10.1097/AOG.0000000000005817

Figure Lengend Snippet: Characteristics of Pregnant Participants With Preterm and Term Deliveries

Article Snippet: The overall preterm birth rate in MATISSE was lower than background rates in countries with sufficient participant–event numbers enabling interpretation (Argentina, Japan, South Africa, United States); for example, in South Africa, the RSVpreF group preterm birth rate was 8.3% compared with the national estimate of 13%.

Techniques:

Cumulative distribution, case counts, and cumulative case counts of gestational age at birth among newborns and infants born at less than 37 weeks of gestation. RSVpreF, respiratory syncytial virus prefusion F protein–based vaccine.

Journal: Obstetrics and Gynecology

doi: 10.1097/AOG.0000000000005817

Figure Lengend Snippet: Cumulative distribution, case counts, and cumulative case counts of gestational age at birth among newborns and infants born at less than 37 weeks of gestation. RSVpreF, respiratory syncytial virus prefusion F protein–based vaccine.

Techniques: Virus

Relative risk for newborn and infant outcomes ( A ) and newborn and infant deaths during the study ( B ). Shown are data from the newborn and infant safety population. Serious adverse event (SAE)–related hospitalizations were within the neonatal period (ie, 4 weeks). Low Apgar scores were a first score lower than 4 or last score lower than 7. AE, adverse event; RSVpreF, respiratory syncytial virus prefusion F protein–based vaccine.

Journal: Obstetrics and Gynecology

doi: 10.1097/AOG.0000000000005817

Figure Lengend Snippet: Relative risk for newborn and infant outcomes ( A ) and newborn and infant deaths during the study ( B ). Shown are data from the newborn and infant safety population. Serious adverse event (SAE)–related hospitalizations were within the neonatal period (ie, 4 weeks). Low Apgar scores were a first score lower than 4 or last score lower than 7. AE, adverse event; RSVpreF, respiratory syncytial virus prefusion F protein–based vaccine.

Techniques: Virus

Preterm births by gestational age (GA) at vaccination. Shown are data from the infant safety population. Numbers above the error bars are the preterm birth rate (less than 37 weeks of gestation) overall and by GA at vaccination. Also shown is the relative risk (95% CI). In the overall and less than 28 weeks of gestation at vaccination groups, the rate of GA at birth of 24–less than 28 weeks was less than 0.1% (n=1) in both the respiratory syncytial virus prefusion F protein–based vaccine (RSVpreF) and placebo groups.

Journal: Obstetrics and Gynecology

doi: 10.1097/AOG.0000000000005817

Figure Lengend Snippet: Preterm births by gestational age (GA) at vaccination. Shown are data from the infant safety population. Numbers above the error bars are the preterm birth rate (less than 37 weeks of gestation) overall and by GA at vaccination. Also shown is the relative risk (95% CI). In the overall and less than 28 weeks of gestation at vaccination groups, the rate of GA at birth of 24–less than 28 weeks was less than 0.1% (n=1) in both the respiratory syncytial virus prefusion F protein–based vaccine (RSVpreF) and placebo groups.

Techniques: Virus

Preterm births by income region ( A ) and relative risk for preterm birth overall and by country ( B ). Shown are data from the newborn and infant safety population. A. Numbers above the bars are the preterm birth rate (less than 37 weeks of gestational age [GA]) overall and by World Bank income region. Also shown is the relative risk (95% CI). In the overall group, the rate of GA at birth of 24–less than 28 weeks was less than 0.1% (n=1) in both the respiratory syncytial virus prefusion F protein–based vaccine (RSVpreF) and placebo groups. In the high-income group, the preterm birth rate at a GA at birth of 24–less than 28 weeks was less than 0.1% (n=1) in the placebo group. In the non–high-income group, the preterm birth rate at a GA at birth of 24–less than 28 weeks was less than 0.1% (n=1) in the RSVpreF group. In the upper-middle–income group, the preterm birth rate at a GA at birth of 24–less than 28 weeks was less than 0.1% (n=1) in the RSVpreF group. B. Countries with more than five preterm births overall. Countries included in each income region are summarized in Appendix 2, available online at http://links.lww.com/AOG/D944 . n, number of newborns and infants born preterm; N, total number of infants.

Journal: Obstetrics and Gynecology

doi: 10.1097/AOG.0000000000005817

Figure Lengend Snippet: Preterm births by income region ( A ) and relative risk for preterm birth overall and by country ( B ). Shown are data from the newborn and infant safety population. A. Numbers above the bars are the preterm birth rate (less than 37 weeks of gestational age [GA]) overall and by World Bank income region. Also shown is the relative risk (95% CI). In the overall group, the rate of GA at birth of 24–less than 28 weeks was less than 0.1% (n=1) in both the respiratory syncytial virus prefusion F protein–based vaccine (RSVpreF) and placebo groups. In the high-income group, the preterm birth rate at a GA at birth of 24–less than 28 weeks was less than 0.1% (n=1) in the placebo group. In the non–high-income group, the preterm birth rate at a GA at birth of 24–less than 28 weeks was less than 0.1% (n=1) in the RSVpreF group. In the upper-middle–income group, the preterm birth rate at a GA at birth of 24–less than 28 weeks was less than 0.1% (n=1) in the RSVpreF group. B. Countries with more than five preterm births overall. Countries included in each income region are summarized in Appendix 2, available online at http://links.lww.com/AOG/D944 . n, number of newborns and infants born preterm; N, total number of infants.

Techniques: Virus

Journal: Implementation Science Communications

Article Title: Implementing an intrapartum package of interventions to improve quality of care to reduce the burden of preterm birth in Kenya and Uganda

doi: 10.1186/s43058-021-00109-w

Figure Lengend Snippet: A summary of PTBi intrapartum package intervention, contextual modifications, and key insights

Article Snippet: The preterm birth rates are estimated at 14% in Busoga and 12% in Migori County [ , ].

Techniques: Modification

Characteristics of the study women and frequencies of term and preterm live births in 5-calendar year periods from 1990 to 2014 in Matlab, Bangladesh

Journal: BMJ Global Health

Article Title: Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014

doi: 10.1136/bmjgh-2019-001462

Figure Lengend Snippet: Characteristics of the study women and frequencies of term and preterm live births in 5-calendar year periods from 1990 to 2014 in Matlab, Bangladesh

Article Snippet: The preterm birth rate of 20% observed in our study in the corresponding calendar period in Matlab indicates a similar level of preterm birth burden at that time.

Techniques:

Preterm birth proportions (gestational age at birth <37 weeks, <32 weeks, 32–33 weeks and 34–36 weeks, respectively) by year in the study area in Matlab, Bangladesh. The linear trend equation indicated 2.3% (y=−0.0629x+2.78), 3.3% (y=−0.2037x+6.14) and 2.8% (y=−0.6605x+23.3) annual reduction of very preterm, moderate preterm and late preterm births, respectively.

Journal: BMJ Global Health

Article Title: Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014

doi: 10.1136/bmjgh-2019-001462

Figure Lengend Snippet: Preterm birth proportions (gestational age at birth <37 weeks, <32 weeks, 32–33 weeks and 34–36 weeks, respectively) by year in the study area in Matlab, Bangladesh. The linear trend equation indicated 2.3% (y=−0.0629x+2.78), 3.3% (y=−0.2037x+6.14) and 2.8% (y=−0.6605x+23.3) annual reduction of very preterm, moderate preterm and late preterm births, respectively.

Article Snippet: The preterm birth rate of 20% observed in our study in the corresponding calendar period in Matlab indicates a similar level of preterm birth burden at that time.

Techniques:

Decomposition of additive time series analysis of occurrence of preterm births in Matlab, Bangladesh. The observed data, the time trend (p<0.001), the seasonal variation and the remaining random variation are displayed.

Journal: BMJ Global Health

Article Title: Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014

doi: 10.1136/bmjgh-2019-001462

Figure Lengend Snippet: Decomposition of additive time series analysis of occurrence of preterm births in Matlab, Bangladesh. The observed data, the time trend (p<0.001), the seasonal variation and the remaining random variation are displayed.

Article Snippet: The preterm birth rate of 20% observed in our study in the corresponding calendar period in Matlab indicates a similar level of preterm birth burden at that time.

Techniques:

Proportion of preterm births (graphs to the left) stratified by age, parity and educational levels in 5-year calendar period from 1990 to 2014, in Matlab, Bangladesh. The distributions (per cent) of these stratifying characteristics are given for the same intervals of calendar periods (graphs to the right).

Journal: BMJ Global Health

Article Title: Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014

doi: 10.1136/bmjgh-2019-001462

Figure Lengend Snippet: Proportion of preterm births (graphs to the left) stratified by age, parity and educational levels in 5-year calendar period from 1990 to 2014, in Matlab, Bangladesh. The distributions (per cent) of these stratifying characteristics are given for the same intervals of calendar periods (graphs to the right).

Article Snippet: The preterm birth rate of 20% observed in our study in the corresponding calendar period in Matlab indicates a similar level of preterm birth burden at that time.

Techniques:

The risk of preterm birth in different sociodemographic groups and the prevalence of these characteristics in the study periods 1990–1994, 1995–1999, 2000–2004, 2005–2009 and 2010–2014

Journal: BMJ Global Health

Article Title: Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014

doi: 10.1136/bmjgh-2019-001462

Figure Lengend Snippet: The risk of preterm birth in different sociodemographic groups and the prevalence of these characteristics in the study periods 1990–1994, 1995–1999, 2000–2004, 2005–2009 and 2010–2014

Article Snippet: The preterm birth rate of 20% observed in our study in the corresponding calendar period in Matlab indicates a similar level of preterm birth burden at that time.

Techniques:

$Proportion preterm births in 5-year calendar periods from1990 to 2014 and the prevented fractions (PF) related to changes in parity and educational levels across these periods. Figures based on the ORs for parity <3 and education ≥6 years and the change in the prevalence of these characteristics.$

Journal: BMJ Global Health

Article Title: Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014

doi: 10.1136/bmjgh-2019-001462

Figure Lengend Snippet: Proportion preterm births in 5-year calendar periods from1990 to 2014 and the prevented fractions (PF) related to changes in parity and educational levels across these periods. Figures based on the ORs for parity <3 and education ≥6 years and the change in the prevalence of these characteristics.

Article Snippet: The preterm birth rate of 20% observed in our study in the corresponding calendar period in Matlab indicates a similar level of preterm birth burden at that time.

Techniques:

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