12 Clinical Epi - Outbreak

Alison Grant 31/8/18

12.1 Story

Think broadly! Consider all the options! Think how new data could help us narrow down the options!

District MO, hospital X has 18 deaths following illness: fever, vomiting, abdo pain, diarrhoea. One of them was a midwife in the hospital

Spreading across roads.

12.1.1 What further information may be useful?

Normal Mortality Rate in that Village, Case Mortality Rate, Case History of 18 patients, Demographics, Origin of People (geographically)

12.1.2 How might you prepare to investigate this outbreak

12.1.2.1 Team

  • Epidemiologist
  • Clinician
  • Logistician/Financial
  • Community Liasion/Translator
  • Infection Control Specialist
  • Pathologist/Microbiologist
  • Local Government/Health Department

12.2 More Story

You go to hospital to investigate. By this time 32 people are admitted. Main features are:

  • Pyrexia
  • Headache
  • Haematemesis
  • Bloody Diarrhoea
  • Retrosternal and Abdominal Pain
  • Arthritis
  • Prostration leading to death

11/17 staff members have died of illness. 2 weeks later, the district is quarantined.

12.2.1 What Main categories of disease should you think:

  • Infectious
  • Non-Infectious

12.2.1.1 Infectious

12.2.1.1.1 Viral
12.2.1.1.1.1 Haemorrhagic
  • Marburg
  • Lassa
  • Ebola
  • Crimean Congo Haemorrhagic Fever
  • Dengue
  • Yellow Fever
12.2.1.1.2 Bacterial
  • GI: Shigella (relatively likely) / Salmonella / e.coli 0157
  • Meningococcal disease
  • Plague
12.2.1.1.3 Parasites
  • Entoemba histolytica

12.2.1.2 Non Infectious

12.2.1.2.1 Poisonings
  • Pesticides
  • Aflatoxin (contamination of mould in grain)

12.3 More story

A virus is isolated from samples sent to the WHO reverence lab, similar to previously known viruses which cause haemorrhagic fever, a serological test is developed by the reference lap

12.3.1 What modes of transmission should we consider

12.3.1.1 Direct

  • Respiratory Droplets (Direct Transmission) and droplets
  • Faeco-oral
  • Bodily Fluid (vomitus, etc)
  • Sexual
  • Skin-to-skin
  • Transfusion
  • Mother to child

12.3.1.2 Indirect

  • Fomites (inanimate objects that can transmit - clothes, towels, door handles)
  • Zoonotic
  • Respiratory airborne
  • Vectors (mosquitoes, flies, bats, rats)
  • Food-borne

12.4 More Story

A missionary nurse with the illness has been transported to the capital, a nurse who has cared for her has become ill and died.

Your team has been investigating contacts, these contacts have had a range of disease from minor illness with headache, fever, abdo pain, vomiting, and bleeding.

12.4.1 What is the next step in your investigation?

You need to identify what is a case and what isn’t a case

Proven: A symptomatic person, vius was isolated or demonstrated by electron microscopy, or positive serological test, within three weeks of onset symptoms

Probable: a person living in area who died after one or more days with two or more of the following: headache, fever, abdo pain, nausea, vomiting, bleeding

Possible: A person with headache and/or/fever for at least 24 hours with or without signs and sypmtoms, who had contact with a proven or probable case in the preceding three weeks

These mix of case definitions gives you a wide range of sensitivity vs specificity.

12.4.1.1 So now you need to do some case finding!

  • Contact Tracing (Household)
  • Hospital Records
  • Primary Care Facilities
  • Active Case Finding (Going round house to house)

12.4.1.2 When you’ve found your cases, what next?

  • Demographics of population with disease (time, place, person)

12.4.2 Epidemic Curves

SEE NOTES DRAWN

You plot incidence over time, with a single box for each case. You colour in these cases if they die

Point Source - one single source of exposure, you’ll see some single skewed distribution

Extended Source - prolonged source of infection, you’ll see a stretched distribution curve

Propogated Source - Often seen in person to person source, you’ll see repeated peaks in incidence like waves on the sea

12.5 Summary Of Story so far

  • Virus has caused large epidemic in central africa, haemorrhagic fever
  • Cases began in sept, peaked in month, tapered off during october
  • Case fatality rate decreased as epidemic progressed
  • All ages and both sexes were affected. Infants and women age 15-29 were most susceptible
  • Cases occured in wide number of villages
  • Most cases in yambuku. further away along roads, the less case attack rate we’ve got

12.5.1 What hypotheses would you have for mode of transmission so far?

This will need a case control study. Compare our people with disease against the people without the disease, and try and determine modes of transmission.

2 Main Things:

  • Transmission through hospital exposure
  • Contact with an unwell patient?

Other questions you might ask

  • Exposure to bodily fluids, sexual contact?
  • Breastfeeding?
  • Exposure to animal groups
  • Sharing food or water supply?

Then with your cases, match against a well person from age and village.