WFRF:(Nassar R.)
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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 04686naa a2200841 4500 | |
| 001 | oai:prod.swepub.kib.ki.se:234722933 | |
| 003 | SwePub | |
| 008 | 240701s2021 | |||||||||||000 ||eng| | |
| 024 | 7 | a http://kipublications.ki.se/Default.aspx?queryparsed=id:2347229332 URI |
| 024 | 7 | a https://doi.org/10.12688/wellcomeopenres.16507.12 DOI |
| 040 | a (SwePub)ki | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Stock, SJ4 aut |
| 245 | 1 0 | a The international Perinatal Outcomes in the Pandemic (iPOP) study: protocol |
| 264 | c 2021-02-02 | |
| 264 | 1 | b F1000 Research Ltd,c 2021 |
| 520 | a Preterm birth is the leading cause of infant death worldwide, but the causes of preterm birth are largely unknown. During the early COVID-19 lockdowns, dramatic reductions in preterm birth were reported; however, these trends may be offset by increases in stillbirth rates. It is important to study these trends globally as the pandemic continues, and to understand the underlying cause(s). Lockdowns have dramatically impacted maternal workload, access to healthcare, hygiene practices, and air pollution - all of which could impact perinatal outcomes and might affect pregnant women differently in different regions of the world. In the international Perinatal Outcomes in the Pandemic (iPOP) Study, we will seize the unique opportunity offered by the COVID-19 pandemic to answer urgent questions about perinatal health. In the first two study phases, we will use population-based aggregate data and standardized outcome definitions to: 1) Determine rates of preterm birth, low birth weight, and stillbirth and describe changes during lockdowns; and assess if these changes are consistent globally, or differ by region and income setting, 2) Determine if the magnitude of changes in adverse perinatal outcomes during lockdown are modified by regional differences in COVID-19 infection rates, lockdown stringency, adherence to lockdown measures, air quality, or other social and economic markers, obtained from publicly available datasets. We will undertake an interrupted time series analysis covering births from January 2015 through July 2020. The iPOP Study will involve at least 121 researchers in 37 countries, including obstetricians, neonatologists, epidemiologists, public health researchers, environmental scientists, and policymakers. We will leverage the most disruptive and widespread “natural experiment” of our lifetime to make rapid discoveries about preterm birth. Whether the COVID-19 pandemic is worsening or unexpectedly improving perinatal outcomes, our research will provide critical new information to shape prenatal care strategies throughout (and well beyond) the pandemic. | |
| 700 | 1 | a Zoega, H4 aut |
| 700 | 1 | a Brockway, M4 aut |
| 700 | 1 | a Mulholland, RH4 aut |
| 700 | 1 | a Miller, JE4 aut |
| 700 | 1 | a Been, JV4 aut |
| 700 | 1 | a Wood, R4 aut |
| 700 | 1 | a Abok, II4 aut |
| 700 | 1 | a Alshaikh, B4 aut |
| 700 | 1 | a Ayede, AI4 aut |
| 700 | 1 | a Bacchini, F4 aut |
| 700 | 1 | a Bhutta, ZA4 aut |
| 700 | 1 | a Brew, BKu Karolinska Institutet4 aut |
| 700 | 1 | a Brook, J4 aut |
| 700 | 1 | a Calvert, C4 aut |
| 700 | 1 | a Campbell-Yeo, M4 aut |
| 700 | 1 | a Chan, D4 aut |
| 700 | 1 | a Chirombo, J4 aut |
| 700 | 1 | a Connor, KL4 aut |
| 700 | 1 | a Daly, M4 aut |
| 700 | 1 | a Einarsdóttir, K4 aut |
| 700 | 1 | a Fantasia, I4 aut |
| 700 | 1 | a Franklin, M4 aut |
| 700 | 1 | a Fraser, A4 aut |
| 700 | 1 | a Håberg, SE4 aut |
| 700 | 1 | a Hui, L4 aut |
| 700 | 1 | a Huicho, L4 aut |
| 700 | 1 | a Magnus, MC4 aut |
| 700 | 1 | a Morris, AD4 aut |
| 700 | 1 | a Nagy-Bonnard, L4 aut |
| 700 | 1 | a Nassar, N4 aut |
| 700 | 1 | a Nyadanu, SD4 aut |
| 700 | 1 | a Iyabode Olabisi, D4 aut |
| 700 | 1 | a Palmer, KR4 aut |
| 700 | 1 | a Pedersen, LH4 aut |
| 700 | 1 | a Pereira, G4 aut |
| 700 | 1 | a Racine-Poon, A4 aut |
| 700 | 1 | a Ranger, M4 aut |
| 700 | 1 | a Rihs, T4 aut |
| 700 | 1 | a Saner, C4 aut |
| 700 | 1 | a Sheikh, A4 aut |
| 700 | 1 | a Swift, EM4 aut |
| 700 | 1 | a Tooke, L4 aut |
| 700 | 1 | a Urquia, ML4 aut |
| 700 | 1 | a Whitehead, C4 aut |
| 700 | 1 | a Yilgwan, C4 aut |
| 700 | 1 | a Rodriguez, N4 aut |
| 700 | 1 | a Burgner, D4 aut |
| 700 | 1 | a Azad, MB4 aut |
| 710 | 2 | a Karolinska Institutet4 org |
| 773 | 0 | t Wellcome open researchd : F1000 Research Ltdg 6, s. 21-q 6<21-x 2398-502X |
| 856 | 4 | u https://doi.org/10.12688/wellcomeopenres.16507.1 |
| 856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:234722933 |
| 856 | 4 8 | u https://doi.org/10.12688/wellcomeopenres.16507.1 |
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- Stock, SJ
- Zoega, H
- Brockway, M
- Mulholland, RH
- Miller, JE
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- Wood, R
- Abok, II
- Alshaikh, B
- Ayede, AI
- Bacchini, F
- Bhutta, ZA
- Brew, BK
- Brook, J
- Calvert, C
- Campbell-Yeo, M
- Chan, D
- Chirombo, J
- Connor, KL
- Daly, M
- Einarsdóttir, K
- Fantasia, I
- Franklin, M
- Fraser, A
- Håberg, SE
- Hui, L
- Huicho, L
- Magnus, MC
- Morris, AD
- Nagy-Bonnard, L
- Nassar, N
- Nyadanu, SD
- Iyabode Olabisi, ...
- Palmer, KR
- Pedersen, LH
- Pereira, G
- Racine-Poon, A
- Ranger, M
- Rihs, T
- Saner, C
- Sheikh, A
- Swift, EM
- Tooke, L
- Urquia, ML
- Whitehead, C
- Yilgwan, C
- Rodriguez, N
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