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Table 1 The 48 possible risk factors worth investigating for Influenza A(H1N1)pdm09 mortality through a targeted literature search in Pubmed (with a focus on 2000–2013)a

From: Possible explanations for why some countries were harder hit by the pandemic influenza virus in 2009 – a global mortality impact modeling study

Factor type

Factor

Factor variable

Association highera

Association lowera

References

Environmental

Pollution

Particulate matter

 

[28]

Ozone

 

Climate

Low temperature/low humidity

 

[10, 25, 26]

Physiological comorbidities in adults

Immunosuppression other than HIV

renal disease, chronic disease, cancer, etc.

 

[5]

Obesity

BMI > 30

 

[3, 7]

Morbid Obesity

BMI > 40

 

[44]

Pulmonary Disease

COPD, other

 

[5]

Immunosupression

HIV

 

[57]

TB

  

HIV on ARTs

 

[57]

Physiological comorbidities in children

Neurological Disorders

Prevalence in children

 

[11]

Cerebral Palsy and developmental delay

 

[13]

Congenital Heart Disease

 

[13]

Asthma and immunosupression

 

[30, 40]

Treatment

Antiviral Use

Antiviral Drug Distribution

 

[31]

Antiviral within 48 h.

 

[23, 28, 30]

Late onset antiviral

 

[3, 31, 32]

Healthcare

Healthcare expenditure

Access to healthcare

 

[23, 24]

Prompt treatment and available options

 

Physician knowledge and H1N1awareness

 

Demographics

Population age structure

Preschool age

 

[9]

Pediatric patients

 

[15]

% < 15

 

[16]

% > 60

[16, 17]

Children at home

 

[34]

Ethnicity

Alaskan/A.Indian/New Zealand aboriginal

 

[71]

Hipanics and blacks

 

[13]

Children of S. Asian descent

 

[16]

pH1N1 Viral Factors

Strain variation by country

Start of the pandemic

 

[30, 38, 39]

Pandemic peak

 

Co-circulation

Viral shedding/ transmission

Longer shedding in younger people

 

[72]

Longer shedding under optimal climatic conditions

 

[26]

Longer shedding in immunocompromised people

 

[8, 72]

Longer shedding or higher viral loads in those with severe disease

 

Shorter shedding in those treated with antivirals within 48 h

 

[8]

Disease severity

Pathogenic strains

  

Data or modelling issues

Variation in case finding by country

-Clinician awareness

 

 

-Diagnostic availability

-Testing protocol

-Breadth of surveillance

Pandemic preparedness activities

Policies

Quarantine

 

[35]

Activities

Treatment, education

 

Case finding efforts

Outreach and method

Quickness of response

Timing to mobilize community

Other Factors

CDC Multiplier

   

[43]

International flight traffic

International flights coming and going

 

[36]

  1. a “Association Higher” indicates those factors that may be risk factors for mortality. “Association Lower” indicates those factors that may be protective against mortality. Some factors are found to be both risk factors and protective factors in the literature and this is indicated with two check marks in the table