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Epidemiological Characteristics of 2009 (H1N1) Pandemic Influenza Based on Paired Sera from a Longitudinal Community Cohort Study


Background:
While patterns of incidence of clinical influenza have been well described, much uncertainty remains over patterns of incidence of infection. The 2009 pandemic provided both the motivation and opportunity to investigate patterns of mild and asymptomatic infection using serological techniques. However, to date, only broad epidemiological patterns have been defined, based on largely cross-sectional study designs with convenience sampling frameworks.

Methods and Findings:
We conducted a paired serological survey of a cohort of households in Hong Kong, recruited using random digit dialing, and gathered data on severe confirmed cases from the public hospital system (>90% inpatient days). Paired sera were obtained from 770 individuals, aged 3 to 103, along with detailed individual-level and household-level risk factors for infection. Also, we extrapolated beyond the period of our study using time series of severe cases and we simulated alternate study designs using epidemiological parameters obtained from our data. Rates of infection during the period of our study decreased substantially with age: for 3–19 years, the attack rate was 39% (31%–49%); 20–39 years, 8.9% (5.3%–14.7%); 40–59 years, 5.3% (3.5%–8.0%); and 60 years or older, 0.77% (0.18%–4.2%). We estimated parameters for a parsimonious model of infection in which a linear age term and the presence of a child in the household were used to predict the log odds of infection. Patterns of symptom reporting suggested that children experienced symptoms more often than adults. The overall rate of confirmed pandemic (H1N1) 2009 influenza (H1N1pdm) deaths was 7.6 (6.2–9.5) per 100,000 infections. However, there was substantial and progressive increase in deaths per 100,000 infections with increasing age from 0.66 (0.65–0.86) for 3–19 years up to 220 (50–4,000) for 60 years and older. Extrapolating beyond the period of our study using rates of severe disease, we estimated that 56% (43%–69%) of 3–19 year olds and 16% (13%–18%) of people overall were infected by the pandemic strain up to the end of January 2010. Using simulation, we found that, during 2009, larger cohorts with shorter follow-up times could have rapidly provided similar data to those presented here.

Conclusions:
Should H1N1pdm evolve to be more infectious in older adults, average rates of severe disease per infection could be higher in future waves: measuring such changes in severity requires studies similar to that described here. The benefit of effective vaccination against H1N1pdm infection is likely to be substantial for older individuals. Revised pandemic influenza preparedness plans should include prospective serological cohort studies. Many individuals, of all ages, remained susceptible to H1N1pdm after the main 2009 wave in Hong Kong.

: Please see later in the article for the Editors' Summary


Vyšlo v časopise: Epidemiological Characteristics of 2009 (H1N1) Pandemic Influenza Based on Paired Sera from a Longitudinal Community Cohort Study. PLoS Med 8(6): e32767. doi:10.1371/journal.pmed.1000442
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pmed.1000442

Souhrn

Background:
While patterns of incidence of clinical influenza have been well described, much uncertainty remains over patterns of incidence of infection. The 2009 pandemic provided both the motivation and opportunity to investigate patterns of mild and asymptomatic infection using serological techniques. However, to date, only broad epidemiological patterns have been defined, based on largely cross-sectional study designs with convenience sampling frameworks.

Methods and Findings:
We conducted a paired serological survey of a cohort of households in Hong Kong, recruited using random digit dialing, and gathered data on severe confirmed cases from the public hospital system (>90% inpatient days). Paired sera were obtained from 770 individuals, aged 3 to 103, along with detailed individual-level and household-level risk factors for infection. Also, we extrapolated beyond the period of our study using time series of severe cases and we simulated alternate study designs using epidemiological parameters obtained from our data. Rates of infection during the period of our study decreased substantially with age: for 3–19 years, the attack rate was 39% (31%–49%); 20–39 years, 8.9% (5.3%–14.7%); 40–59 years, 5.3% (3.5%–8.0%); and 60 years or older, 0.77% (0.18%–4.2%). We estimated parameters for a parsimonious model of infection in which a linear age term and the presence of a child in the household were used to predict the log odds of infection. Patterns of symptom reporting suggested that children experienced symptoms more often than adults. The overall rate of confirmed pandemic (H1N1) 2009 influenza (H1N1pdm) deaths was 7.6 (6.2–9.5) per 100,000 infections. However, there was substantial and progressive increase in deaths per 100,000 infections with increasing age from 0.66 (0.65–0.86) for 3–19 years up to 220 (50–4,000) for 60 years and older. Extrapolating beyond the period of our study using rates of severe disease, we estimated that 56% (43%–69%) of 3–19 year olds and 16% (13%–18%) of people overall were infected by the pandemic strain up to the end of January 2010. Using simulation, we found that, during 2009, larger cohorts with shorter follow-up times could have rapidly provided similar data to those presented here.

Conclusions:
Should H1N1pdm evolve to be more infectious in older adults, average rates of severe disease per infection could be higher in future waves: measuring such changes in severity requires studies similar to that described here. The benefit of effective vaccination against H1N1pdm infection is likely to be substantial for older individuals. Revised pandemic influenza preparedness plans should include prospective serological cohort studies. Many individuals, of all ages, remained susceptible to H1N1pdm after the main 2009 wave in Hong Kong.

: Please see later in the article for the Editors' Summary


Zdroje

1. ThompsonWW

ShayDK

WeintraubE

BrammerL

BridgesCB

2004 Influenza-associated hospitalizations in the United States. JAMA 292 1333 1340

2. ShindeV

BridgesC

UyekiT

ShuB

BalishA

2009 Triple-reassortant swine influenza A (H1) in humans in the United States, 2005-2009. N Engl J Med 360 2616 2625

3. Van KerkhoveMD

AsikainenT

BeckerNG

BjorgeS

Desenclos J-C, et al. 2010 Studies needed to address public health challenges of the 2009 H1N1 influenza pandemic: insights from modeling. PLoS Med 7 e1000275 doi:10.1371/journal.pmed.1000275

4. DowseGK

SmithDW

KellyH

BarrI

LaurieKL

2011 Incidence of pandemic (H1N1) 2009 influenza infection in children and pregnant women during the 2009 influenza season in Western Australia - a seroprevalence study. Med J Aust 194 68 72

5. GilbertGL

CretikosMA

HuestonL

DoukasG

O'TooleB

2010 Influenza A (H1N1) 2009 antibodies in residents of New South Wales, Australia, after the first pandemic wave in the 2009 southern hemisphere winter. PLoS ONE 5 e12562 doi:10.1371/journal.pone.0012562

6. GrillsN

PiersLS

BarrI

VaughanLM

LesterR

2010 A lower than expected adult Victorian community attack rate for pandemic (H1N1) 2009. Aust N Z J Public Health 34 228 231

7. McvernonJ

LaurieK

NolanT

OwenR

IrvingD

2010 Seroprevalence of 2009 pandemic influenza A(H1N1) virus in Australian blood donors, October - December 2009. Euro Surveill 15

8. TsaiTF

PedottiP

HilbertA

LindertK

HohenbokenM

2010 Regional and age-specific patterns of pandemic H1N1 influenza virus seroprevalence inferred from vaccine clinical trials, August-October 2009. Euro Surveill 15

9. DengY

PangXH

YangP

ShiWX

TianLL

2011 Serological survey of 2009 H1N1 influenza in residents of Beijing, China. Epidemiol Infect 139 52 58

10. MillerE

HoschlerK

HardelidP

StanfordE

AndrewsN

2010 Incidence of 2009 pandemic influenza A H1N1 infection in England: a cross-sectional serological study. Lancet 375 1100 1108

11. TandaleBV

PawarSD

GuravYK

ChadhaMS

KoratkarSS

2010 Seroepidemiology of pandemic influenza A (H1N1) 2009 virus infections in Pune, India. BMC Infect Dis 10 255

12. BandaranayakeD

HuangQS

BissieloA

WoodT

MackerethG

2010 Risk factors and immunity in a nationally representative population following the 2009 influenza A(H1N1) pandemic. PLoS ONE 5 e13211 doi:10.1371/journal.pone.0013211

13. AdamsonWE

MaddiS

RobertsonC

McDonaghS

MolyneauxPJ

2010 2009 pandemic influenza A(H1N1) virus in Scotland: geographically variable immunity in Spring 2010, following the winter outbreak. Euro Surveill 15

14. ChenMIC

LeeVJM

Lim W-Y, BarrIG

LinRTP

2010 2009 influenza A(H1N1) seroconversion rates and risk factors among distinct adult cohorts in Singapore. JAMA 303 1383 1391

15. PrachayangprechaS

MakkochJ

PayungpornS

ChieochansinT

VuthitanachotC

2010 Serological analysis of human pandemic influenza (H1N1) in Thailand. J Health Popul Nutr 28 537 544

16. ZimmerSM

CrevarCJ

CarterDM

StarkJH

GilesBM

2010 Seroprevalence following the second wave of Pandemic 2009 H1N1 influenza in Pittsburgh, PA, USA. PLoS ONE 5 e11601 doi:10.1371/journal.pone.0011601

17. WuJT

MaESK

LeeCK

ChuDKW

Ho P-L, et al. 2010 The infection attack rate and severity of 2009 pandemic H1N1 influenza in Hong Kong. Clin Infect Dis 51 1184 1191

18. MontoAS

KioumehrF

1975 The Tecumseh Study of Respiratory Illness. IX. Occurence of influenza in the community, 1966--1971. Am J Epidemiol 102 553 563

19. FoxJP

CooneyMK

HallCE

FoyHM

1982 Influenzavirus infections in Seattle families, 1975-1979. II. Pattern of infection in invaded households and relation of age and prior antibody to occurrence of infection and related illness. Am J Epidemiol 116 228 242

20. CowlingBJ

NgDMW

IpDKM

LiaoQ

LamWWT

2010 Community psychological and behavioral responses through the first wave of the 2009 influenza A(H1N1) pandemic in Hong Kong. J Infect Dis 202 867 876

21. CowlingBJ

ChanKH

FangVJ

LauLLH

SoHC

2010 Comparative epidemiology of pandemic and seasonal influenza A in households. N Engl J Med 362 2175 2184

22. LeungGM

WongIOL

Chan W-S, ChoiS

Lo S-V, et al. 2005 The ecology of health care in Hong Kong. Soc Sci Med 61 577 590

23. MossongJ

HensN

JitM

BeutelsP

AuranenK

2008 Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Med 5 e74 doi:10.1371/journal.pmed.0050074

24. KaoTM

HsiehSM

KungHC

LeeYC

HuangKC

2010 Immune response of single dose vaccination against 2009 pandemic influenza A (H1N1) in the Taiwanese elderly. Vaccine 28 6159 6163

25. LeeVJ

YapJ

TayJK

BarrI

GaoQ

2010 Seroconversion and asymptomatic infections during oseltamivir prophylaxis against Influenza A H1N1 2009. BMC Infect Dis 10 164

26. RossT

ZimmerS

BurkeD

CrevarC

CarterD

2010 Seroprevalence following the second wave of pandemic 2009 H1N1 influenza. PLoS Curr Influenza RRN1148

27. RileyS

FergusonNM

2006 Smallpox transmission and control: spatial dynamics in Great Britain. Proc Natl Acad Sci U S A 103 12637 12642

28. FergusonNM

CummingsDAT

CauchemezS

FraserC

RileyS

2005 Strategies for containing an emerging influenza pandemic in Southeast Asia. Nature 437 209 214

29. YangY

SugimotoJ

HalloranM

BastaN

ChaoD

2009 The transmissibility and control of pandemic influenza A (H1N1) virus. Science

30. InvestigatorsAI

WebbSAR

PettiläV

SeppeltI

BellomoR

2009 Critical care services and 2009 H1N1 influenza in Australia and New Zealand. N Engl J Med 361 1925 1934

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