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Epidemiologists Contributing Their Special Brand of Expertise in Rwanda-Zaire

Data Make a Difference

Epidemiologists in the war-torn areas of Rwanda and Zaire are playing a major role in helping clinicians and policy makers by providing data used to make decisions.

“You need to have numbers to have a reasonable grasp of the situation, and that accounts for any success epidemiologists have had in making themselves useful,” says David Robinson, program manager of the Acute Respiratory Infections group at WHO and head of the WHO team of epidemiologists working in Goma, Zaire on the international relief effort to help Rwandan refugees. Almost two dozen epidemiologists from the WHO, from non-governmental organizations such as the French-based EpiCentre, and from the Centers for Disease Control and Prevention (CDC) working under the auspices of UN agencies (UNHCR and UNICEF) have been in central Africa this summer.

But exactly what did epidemiologists do in Africa and of what value was it? Robinson pointed to several types of surveillance activities, each of which served a separate purpose.

First, epidemiologists have been collecting surveillance data on the numbers and causes of deaths and on the cases of diarrhea. By differentiating between cases of watery and bloody diarrhea in reporting, i.e., between cholera and dysentery, epidemiologists also helped pinpoint the need for antibiotics to treat dysentery. Detection of drug-resistant strains of shigella helped policy makers decide on the need for the more effective—albeit the more expensive—drug.

Epidemiologists Provide Reality Check

The work of epidemiologists which clarified the epidemiology of bloody diarrhea over the past two years in neighboring countries helped to avoid protracted debates about drug policy,” says Mike Toole, an epidemiologist and CDC’s technical coordinator for Complex Emergencies. When data showed that watery diarrhea was decreasing and bloody diarrhea increasing, an immediate response was called for. Clinicians were “screaming for guidance,” and surveillance data plus earlier work helped policy-makers get through a tough decision, says Toole.

Second, epidemiologists have been helpful in defusing rumors and panic about other diseases, according to Robinson. For example, meningitis cases were reported early on. With assistance of the laboratory, epidemiologists were able to show that this was not a first priority problem. Again, policy-makers benefited from the work done earlier by epidemiologists showing that epidemics were unlikely to break out below a certain threshold number of cases, says Toole. Epidemiologists were able to track the occurrence of the disease and keep it under surveillance, a critical function which provided much needed reassurance. When cases surpassed the threshold in one camp, vaccinations were started, but not before. This information was extremely useful to donors trying to make decisions about vaccine purchases and vaccination campaigns.

Thirdly, epidemiologists have been helpful by listening closely to clinicians and spotting potential new problems early on. Clinicians turned up a series of cases with high fever, severe conjunctivitis, and some neurologic excitability and were convinced they were dealing with typhus. If typhus had been accepted as the diagnosis, this would have had enormous implications for the refugee population of 850,000 living in the camps, Toole pointed out. Early tests have been negative, and while the etiology is still unknown, typhus has been ruled out. De-lousing actions have been taken, though, since cases seem to occur primarily in lice covered persons.

Sessions Provide Info Exchange

Another important function of the surveillance data is their usefulness in determining whether or not progress is being made in reducing the death rate. This is the goal on which all participant donors agree, and front line workers now accept the need to make an extra effort to collect this information in the middle of all the other overwhelming tasks they must perform in these crisis situations.

One unexpected benefit which evolved from epidemiologic data was its motivating power to get people to work together, Toole continued. Donors working in Rwanda between April and July when massacres occurred were distressed and isolated.

Largely through the hard work of Les Roberts, an epidemiologist working out of nearby Uganda, a weekly meeting was held to share standardized information and feedback about the situation. This “epidemiologic information exchange” became the centerpiece of a coordinating mechanism among the donors, according to Toole. It was a useful forum to provide data on a meningitis outbreak and to explain to donors why vaccine efficacy can still be high even when the number of cases which are vaccinated is high (the number is partly a function of the vaccination coverage not just the efficacy).

Another unanticipated use of epidemiology occurred when an epidemiologist was asked to make sense of the medical supply situation. According to Toole, planeloads of drugs and supplies were arriving with little evidence to support their need. Working “off center stage,” Brent Burkholter, an epidemiologist, began using surveillance data to predict the type and quantities of supplies needed. He turned the situation around completely and based predicted needs on the morbidity profile, says Toole, impressed by this achievement.

Published October 1994  v

 

 
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