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Table 1 Site characteristics, the Pregnancy and Influenza Multinational Epidemiologic Study

From: The Pregnancy and Influenza Multinational Epidemiologic (PRIME) study: a prospective cohort study of the impact of influenza during pregnancy among women in middle-income countries

 

Bangkok, Thailand

Lima, Peru

Nagpur, India

Primary research institution(s)

Queen Sirikit National Institute of Child Health, Thailand Ministry of Public Health

Thailand Ministry of Public Health—US Centers for Disease Control and Prevention Collaboration

U.S. Naval Medical Research Unit No. 6 (NAMRU-6)

Lata Medical Research Foundation

Study laboratorya

Armed Forces Research Institute of Medical Sciences

NAMRU-6 Virology and Emerging Infections Laboratory

Dhruv Pathology and Diagnostic Laboratory (year 1)

Source population

Pregnant women attending outpatient prenatal care visits at study hospitals

Pregnant women attending outpatient prenatal care visits at study hospitals

Pregnant women from urban Nagpur attending outpatient prenatal care visits at study hospitals

Study hospitals

 Number

2

4

1

 Types

Tertiary/referral

Tertiary/referral

Secondary/referral

 Institutions (deliveries/year)

Nopparat Hospital (6000)

Rajavithi Hospital (6000-7000)

Peruvian Maternal and Perinatal Institute (22000)

Arzobispo Loayza National Hospital (4000)

Dos de Mayo National Hospital (4000)

San Bartolome Hospital (7000)

Daga Memorial Government Women’s Hospital (14000-15000)

Start date of local influenza seasonb (epidemiologic week)

28

18

26

  1. aStudy laboratories process and test respiratory specimens for influenza viruses by reverse transcription polymerase chain reaction (RT-PCR) using US Centers for Disease Control and Prevention protocols. In Thailand, the study laboratory also tests for respiratory syncytial viruses and human metapneumoviruses by RT-PCR
  2. bFor the purposes of recruitment and enrollment, the ‘influenza season’ is defined as the 16 week time period in which influenza epidemics are most likely to occur as predicted by local influenza virus surveillance data from previous years