SAMC
95 Park Lane
Harare
Zimbabwe

P.O.Box CY348
Causeway
Harare

Zimbabwe


Tel:
(263)4-253 724-30
Fax:
(263)4-253 731-2
E-mail:

info@who.co.zw

Malaria Surveillance, Information and Research

Strategies
Malaria Surveillance
Baseline Data, Monitoring & Evaluation, and Operational Research
Partners
Malaria Surveillance, Information and Research Chart

Strategies

  1.  Establish baseline and monitoring data on the malaria burden, malaria transmission and socio-economic and behavioural determinants by:
Standardising malaria definitions and indicators
Estimating population at risk and specific risk groups
Mapping environmental, demographic, geographical, meteorological, entomological and malaria data
Collecting malaria data as part of census, inter-census and Demographic and Health Surveys
Conducting malaria burden and KAP surveys
Estimating the economic burden of malaria and cost of malaria control
Preparing malaria country profiles
  1. Establish a sub-regional malaria information and surveillance network
  2.  Support countries in building sound surveillance and mapping systems
  3. Support countries carry out regular monitoring and evaluation of their programme and specific activities
  4. Support operational research that is owned by NMCPs and relevant to their work
  5. Provide NMCPs with up-to-date malaria texts and documents
  6. Develop a network of researchers in Southern Africa that can support NMCPs

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Posters and Bulletins

Population Data and Malaria Control
Mapping and Malaria Control
Monitoring and Evaluation of RBM in the Africa Region
The Malaria Red Reference Initiative
Improving Knowledge for Malaria Control
Malaria Surveillance Bulletins for Southern Africa
More Publications

Reference Documents

Africa Malaria Report 2003
Roll Back Malaria in Southern Africa - Baseline 2001 
Malaria Research in Southern Africa - Compilation of Medline Indexed Abstracts
The African Summit on Roll Back Malaria
20th Report of WHO Expert Committee on Malaria
Framework for Monitoring Progress & Evaluating Outcomes and Impact
Framework for Monitoring Progress & Evaluating Outcomes and Impact [Portuguese Version]
Strategic Direction for Malaria Research in Africa

 

 

 

 

 

 

 

 

 

 

 

 

 

  

 

 

 

Malaria Surveillance

Malaria surveillance can be defined as the systematic collection of information related to malaria such as number of clinical cases, confirmed cases, malaria deaths, etc. The rationale of malaria surveillance is to reveal malaria trends and formulate malaria control interventions based on evidence.

Functions of malaria surveillance:

Evaluation of time trends
Identification and documentation of outbreaks
Evaluation of disease interventions
Determine effectiveness of epidemic control
Identification of populations at risk
Mobilize resources for epidemic disaster control

The surveillance systems of countries covered by SAMC is not the same throughout. For more information on the surveillance system and information of a particular country go to the country profiles.

SAMC operates a subregional surveillance and information database. The information in the database comes from the surveillance and routine information systems shown in the table below.

Country

Surveillance System

Information System

Angola

 

Quarterly

Botswana

Weekly

 

Malawi

Monthly

 

Mozambique

Weekly

 

Namibia

Weekly

 

South Africa

Weekly

 

Swaziland

Weekly

 

Tanzania

 

Annual

Zambia

 

Quarterly

Zimbabwe

Weekly

 

Currently all countries with surveillance systems submit surveillance reports on a monthly basis and those with information systems when the information is available. SAMC produces Monthly Malaria Update giving an overview of the malaria situation with the region.

Information

Information such as population at risk, drug policy, sentinel sites, vector control initiatives and  meteorological data  such as historical rainfall, relative humidity, temperature, estimated rainfall derived from satellite imagery and rainfall temperature forecasts are available.

Geographical and Environmental Information Systems are being used to integrate the information at our disposal to analyse and strengthen malaria stratification, monitoring and forecasting of epidemics. A malaria module of HealthMapper is being used for this purpose. The software enables NMCPs to create digital malaria thematic maps very easily. Maps showing malaria free, unstable (epidemic prone) and stable malaria areas have been produced. SAMC in collaboration with HealthMap (WHO/HQ) and Malsat (Liverpool School of Tropical Medicine) are supporting countries to build their capacity in this area.

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Baseline Data, Monitoring & Evaluation, and Operational Research

A series of core impact, outcome and process RBM indicators for Southern Africa are used for monitoring progress. These indicators are given below:

Core RBM Indicators for Southern Africa

IMPACT

SOURCE

Under five mortality (all-cause) rate

DHS, census, DSS, surveys

Malaria mortality rate (under-fives, 5-14 year olds, 15+ years, pregnant women)

HIS, DSS, surveys

Morbidity attributed to malaria (under-fives, 5-14 year olds, 15+ years, pregnant women)

HIS, DSS, surveys

Case fatality rate for malaria cases admitted to hospitals and health centres with inpatient facilities (under-fives, 5-14 year olds, 15+ years, pregnant women)

HIS, sentinel sites

Prevalence of malaria parasitaemia among 2-9 year olds

Community surveys, DSS

OUTCOME

Percentage of people with a malaria attack receiving appropriate treatment within 24 hours (under-fives, over-fives)

Community surveys

Percentage of people with uncomplicated malaria properly managed at health facilities (under-fives, over-fives)

Health facility surveys

Percentage of people with severe malaria and correctly managed at health facilities (under-fives, over-fives)

Health facility surveys

Percentage of children under-five sleeping under treated mosquito nets

DHS, Community surveys

Percentage of pregnant women sleeping under treated mosquito nets

DHS, Community surveys

Percentage of households owning at least one treated mosquito net

DHS, Community surveys

Percentage of pregnant women on antimalarial chemoprophylaxis or intermittent presumptive treatment

DHS, Community surveys

Percentage of households in targeted areas that are sprayed

HIS, records

Percentage of all households in malarious areas that are sprayed

HIS, records

Percentage of all households in malarious areas with malaria prevention measures [1]

Composite sources

Percentage of malaria outbreaks detected within two weeks of onset

IDS, HIS, records

Percentage of detected malaria outbreaks properly controlled within two weeks

IDS, HIS, records

Percentage of villages taking organised action on malaria issues.

Records

PROCESS

Percentage of health facilities with no stock-outs of 1st, 2nd, 3rd -line antimalarial drugs and essential items during the last 3 months.

Health facility survey

Percentage of facilities with adequate parasite detection services [2]

Health facility survey

Percentage of community health workers holders who have received training in case management in last 24 months

Records

Percentage of clinicians who have received training in case management in last 24 months

Records

Percentage of nurses who have received training in case management in last 24 months

Records

Number of national level financing, technical and other partners

NMCP records

Number of district level financing, technical and other partners

DHMT records

[1] Use of treated mosquito nets, residual house spraying, screens.
[2] Includes facilities, equipment, trained personnel

DHS: Demographic and Health Survey
DSS: Demographic Surveillance Site
HIS: Health Information System
IDS: Integrated Disease Surveillance

Good quality baseline data are essential if an evidence-base is to be established and malaria control efforts properly monitored and evaluated. Hence, using existing data estimates of population at risk at national and provincial levels, malaria mortality and morbidity, and coverage of interventions have been calculated for the subregion.

POWERPOINT PRESENTATION – Population data and malaria control in Southern Africa,

WORD documents (click to view) -

However, existing data are often insufficient and it is necessary to conduct population-based surveys. To this end, quantitative and qualitative protocols for population-based malaria surveys are available. The protocols collect data on malaria incidence, parasite prevalence and mortality as well as malaria’s socio-economic and behavioural determinants

Click to View - Community-based surveys.doc

Operational research protocols have also been develop for evaluation malaria IEC materials and malaria interventions among travellers and tourists with the Department of Community, University of Zimbabwe, and the Department of Communication Studies, University of Stirling, respectively.

Health professionals working in malaria control often do not have a access to up-to-date information on the disease and its control. Consequently, SAMC together with the Medical School Library of the University of Zimbabwe launched the Malaria Red Reference Initiative in February 2000

Click to View Malaria Red Reference Initiative

A considerable amount of operational research on malaria is being done in the subregion. Together with the University of Zimbabwe Medical School Library, a compilation of malaria research in Southern Africa in the 1990s has been produced

Click to View Malaria Research in Southern Africa in the 1990s

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Partners

Blair Research Institute
Central Statistical Offices

Department of Community Medicine, University of Zimbabwe
Department of Communication Studies, University of Stirling
DHS/Macro International
Drought Monitoring Centre (SADC and WMO)
HealthMap Project, WHO/UNICEF
Malsat, LSTM
Medical School Library, University of Zimbabwe

National Meteorological Services

National Oceanic and Atmospheric Administration (NOAA)

RBM Network on Mapping

SADC Health Desk

SADC Regional Remote Sensing Project

SARCOF