What’s New in Surveillance Dona Schneider, PhD, MPH.
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Transcript of What’s New in Surveillance Dona Schneider, PhD, MPH.
Surveillance is the ongoing, systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice, closely integrated with the timely feedback of these data to those who need to know. Centers for Disease Control
Examples: Morbidity and Mortality Weekly Report (MMWR)Disease Registries
Surveillance for communicable diseases remains important…
The world population is highly mobile
International travel and troop movements increase the risk of communicable disease transmission
Migration for war and famine, and voluntary immigration increase communicable disease risk
Naturally occurring disease is not our only threat
Types of Surveillance
Passive Inexpensive, provider-initiated Good for monitoring large numbers of typical health events Under-reporting is a problem
Active More expensive, Health Department-initiated Good for detecting small numbers of unusual health events
Enhanced Rapid reporting and communication between surveillance agencies
and stakeholders Best for detecting outbreaks and potentially severe public health
problems
New and complex disease entities must also be monitored…
New syndromes may emerge that present in an atypical manner
Syndromic surveillance uses health-related data that precede diagnosis and signal a sufficient probability of a case or an outbreak to warrant further public health response
Day 1- feels fine Day 2- headaches, fever - buys Tylenol Day 3- develops cough - calls nurse hotline Day 4- Sees private doctor – dx with “flu” Day 5- Worsens - calls ambulance seen in ED Day 6- Admitted - “pneumonia” Day 7- Critically ill - ICU Day 8- Expires - “respiratory failure” Case enters surveillance system through an EDC
Example of Passive Surveillance
Day 1- feels fine Day 2- headaches, fever - buys Tylenol Day 3- develops cough - calls nurse hotline Day 4- Sees private doctor - dx “flu” Day 5- Worsens - calls ambulance - seen in ED Day 6- Admitted - “pneumonia” Day 7- Critically ill - ICU Day 8- Expires - “respiratory failure” Case is under immediate investigation by the LHD
because of the pre-diagnostic information gathered
Pharmaceutical Sales
Nurse’s Hotline
Managed Care Org
Ambulance Dispatch (EMS)
ED Logs
Absenteeism records
Example of Syndromic Surveillance
We also watch for sentinel events…
Sentinel surveillance identifies preventable disease, disability, or deaths that warn that known methods of prevention, treatment or safety need to be improved
Sentinel events may have catastrophic outcomes – they may indicate the “tip of the iceberg”
SENTINEL EVENT Nov 12, 2001 - 9:17 am Flight AA 587 Crashes in Rockaways
7-Zip Surveillance showed:
27 Obs / 10 Exp Resp Emergencies p<0.001
31 Obs / 16 Exp Hospital Events p<0.05
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Date
Res
p/N
on
e S
ynd
rom
es
Rockaways
Rest of City
Investigation
Key Questions True increase or natural variability? Bioterrorism or self-limited illness?
Available Methods Response team assigned Response team “Drills down” Query clinicians / laboratories Chart reviews Patient follow-up Increased diagnostic testing
Investigation
Chart review in one hospital (9 cases) Smoke Inhalation (1 case) Atypical Chest Pain / Anxious (2 cases) Shortness of Breath - Psychiatric (1 case) Asthma Exacerbation (3 cases) URI/LRI (2 cases)
Checked same-day logs at 2 hospitals Increase not sustained
Surveillance can…
Estimate the magnitude of a problem Determine geographic distribution of illness Detect epidemics/outbreaks Generate hypotheses, stimulate research Evaluate control measures Monitor changes in infectious agents Detect changes in health practices
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TIME
CA
SE
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Data Sources
Notifiable diseases Laboratory specimens Vital records Sentinel surveillance Registries and surveys Administrative data systems Other data sources
Reported Cases of Food borne Botulism, United States, 1981-2001
*Data from annual survey of State Epidemiologists and Directors of State Public Health Laboratories.
Source: CDC. Summary of notifiable diseases. 2001.
Blood Lead Measurements 1975-1981
1975 1976 1977 1978 1979 1980 198130
40
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110
8
10
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Year
Predicted blood lead
Gasoline lead
Observed blood lead
Source: Pirkle et al JAMA 272:284-91, 1994
Lead used in gasoline(thousan
dsof tons)
Mean bloodlead
levels g/dl
Reported Salmonella Isolates,* United States, 1976-2001
*Data from Public Health Laboratory Information System (PHLIS).
Source: CDC. Summary of notifiable diseases. 2001.
National Notifiable Diseases Surveillance System (NNDSS) – produces the data in the
MMWR
The reportable diseases list is revised periodically by the CSTE/CDC
States report diseases to the CDC voluntarily Reporting is mandated at the state level All states report the internationally quarantinable
diseases (i.e., cholera, plague, SARS, smallpox and yellow fever) in compliance with WHO International Health Regulations and a varied list of other diseases
In New Jersey
Reporting mandated by state law/regulation Health care providers, laboratories report to the
LHD (county) LHD submits reports to the State Reports transmitted by State to CDC primarily
through National Electronic Telecommunications System for Surveillance (NETSS)
Other NCHS Data Systems for Surveillance
Vital Statistics National Infant Mortality Surveillance (NIMS) Linked:
• birth records• death records
Recent Occupational Monitoring Efforts for Sentinel Events Include…
Biodetection Systems (BDS) in NJ post offices to detect anthrax and soon, ricin
Biowatch, an air monitoring system in New York City and 30 other cities
Weekly Communicable Disease Reporting System (CDRS) Alerts
Comparison of current 4-week reporting period to previous reporting periods; generated at NJDHSS every Monday by disease by county
Increase over baseline (3 SD) triggers an alert for further investigation
Limitation: timeliness of reporting into CDRS
County DiseaseCum
ReportsBaseline4-wk Av SD
Last 4-wk
Period Flag
Amebiasis (Entamoeba histolytica) 211 5.5 4.6 8
√ Campylobacteriosis (Campylobacter
spp)1,296 40.6 17.6 28
√ Creutzfeld-Jakob disease 21 1.0 0.0 1
Cryptosporidiosis (Cryptosporidium spp.)
52 1.8 0.8 1
Encephalitis, West Nile 42 5.6 4.3 2
√ Enterohemorrhagic E. coli O157:H7 171 7.1 4.5 3
√ Giardiasis (Giardia lamblia) 1,427 51.9 9.9 21
√ Haemophilus influenzae - invasive
disease167 4.3 1.9 1
County ZIP Category Sale
BaseMeanDate 1
Sales inDate 1
BaseMeanDate 2
Sales inDate 2
BaseMeanDate 3
Sales inDate 3
Diarrhea N 3.9 8 (03/11/03) 3.6 4 (03/12/03) 5.3 11 (03/13/03)
Antifever N 12.4 6 (03/11/03) 11.4 9 (03/12/03) 10.0 20 (03/13/03)
Diarrhea N 2.7 3 (03/11/03) 3.5 3 (03/12/03) 3.6 8 (03/13/03)
Cough/Cold N 35.7 30 (03/10/03) 37.8 30 (03/11/03) 18.6 53 (03/12/03)
Cough/Cold N 44.0 42 (03/10/03) 52.7 45 (03/11/03) 27.0 72 (03/12/03)
Cough/Cold N 192.6 178 (03/11/03) 193.3 181 (03/12/03) 167.3 191 (03/13/03)
Hydrocort-isones
N 2.5 1 (03/10/03) 2.1 2 (03/11/03) 1.7 6 (03/12/03)
Cough N 11.3 14 (03/11/03) 7.7 13 (03/12/03) 11.3 15 (03/13/03)
Antifever Y 9.3 9 (03/11/03) 5.1 4 (03/12/03) 3.9 13 (03/13/03)
Antifever Y 8.8 11 (03/11/03) 7.7 8 (03/12/03) 5.7 20 (03/13/03)
New Jersey Real Time Outbreak and Disease Surveillance (RODS) OTC Surveillance
Reports Through March 15, 2003
Cipro and Doxycycline Prescriptions
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50000
100000
150000
200000
250000
7/1/2001 7/29/2001 8/26/2001 9/23/2001 10/21/2001 11/18/2001 12/16/2001 1/13/2002
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5000
10000
15000
20000
25000
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40000
Cipro Doxycycline
9/11
First anthrax case reported, 10/4/01.
CDC recommends doxycyline 10/28/01.
Tobacco Cessation Aids Sold at a Large Pharmacy Chain
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Week Ending
Un
its
per
100
,000
pre
scri
pti
on
s$0.39
increase in State tax
$1.42 increase in City
tax
National Electronic Disease Surveillance System (NEDSS)
Will replace NETSS, HIV/AIDS, TB, STD, vaccine-preventable and infectious disease reporting systems
Goal is to standardize health reporting and link laboratory, hospital and managed care data
Enhanced and Syndromic Surveillance
Costs Implementation costs are modest Operational costs = time of public health staff,
investigations
Benefits Possibily huge if early detection results Strengthens traditional surveillance Sets high standards for all data collection agencies
Good surveillance does not necessarily ensure
the making of right decisions, but it reduces the
chances of wrong ones.
Alexander D. LangmuirNEJM 1963;268:182-191
Free Resources
World Health Organization
DISMOD Software
Centers for Disease Control
Epi Info