1
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Pujol A, Brokhattingen N, Matambisso G, Mbeve H, Cisteró P, Escoda A, Maculuve S, Cuna B, Melembe C, Ndimande N, Munguambe H, Montaña J, Nhamússua L, Simone W, Tetteh KKA, Drakeley C, Gamain B, Chitnis CE, Chauhan V, Quintó L, Chidimatembue A, Martí-Soler H, Galatas B, Guinovart C, Saúte F, Aide P, Macete E, Mayor A. Detecting temporal and spatial malaria patterns from first antenatal care visits. Nat Commun 2023; 14:4004. [PMID: 37414792 PMCID: PMC10326053 DOI: 10.1038/s41467-023-39662-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 06/21/2023] [Indexed: 07/08/2023] Open
Abstract
Pregnant women attending first antenatal care (ANC) visits represent a promising malaria surveillance target in Sub-Saharan Africa. We assessed the spatio-temporal relationship between malaria trends at ANC (n = 6471) and in children in the community (n = 3933) and at health facilities (n = 15,467) in southern Mozambique (2016-2019). ANC P. falciparum rates detected by quantitative polymerase chain reaction mirrored rates in children, regardless of gravidity and HIV status (Pearson correlation coefficient [PCC] > 0.8, χ²<1.1), with a 2-3 months lag. Only at rapid diagnostic test detection limits at moderate-to-high transmission, did multigravidae show lower rates than children (PCC = 0.61, 95%CI[-0.12-0.94]). Seroprevalence against the pregnancy-specific antigen VAR2CSA reflected declining malaria trends (PCC = 0.74, 95%CI[0.24-0.77]). 60% (9/15) of hotspots detected from health facility data (n = 6662) using a novel hotspot detector, EpiFRIenDs, were also identified with ANC data (n = 3616). Taken together, we show that ANC-based malaria surveillance offers contemporary information on temporal trends and geographic distribution of malaria burden in the community.
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Affiliation(s)
- Arnau Pujol
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | | | - Glória Matambisso
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | - Henriques Mbeve
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | - Pau Cisteró
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Anna Escoda
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Sónia Maculuve
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | - Boaventura Cuna
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | - Cardoso Melembe
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | - Nelo Ndimande
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | | | - Júlia Montaña
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Lídia Nhamússua
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | - Wilson Simone
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | - Kevin K A Tetteh
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Chris Drakeley
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Benoit Gamain
- Université Paris Cité, INSERM, BIGR, F-75014, Paris, France
| | - Chetan E Chitnis
- Malaria Parasite Biology and Vaccines, Department of Parasites & Insect Vectors, Institut Pasteur, Paris, France
| | - Virander Chauhan
- Malaria Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, India
| | - Llorenç Quintó
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | | | | | - Beatriz Galatas
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | | | - Francisco Saúte
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | - Pedro Aide
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
- National Institute of Health, Ministry of Health, Maputo, Mozambique
| | - Eusébio Macete
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique
| | - Alfredo Mayor
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.
- Centro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique.
- Spanish Consortium for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
- Department of Physiologic Sciences, Faculty of Medicine, Universidade Eduardo Mondlane, Maputo, Mozambique.
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2
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Thawer SG, Golumbeanu M, Lazaro S, Chacky F, Munisi K, Aaron S, Molteni F, Lengeler C, Pothin E, Snow RW, Alegana VA. Spatio-temporal modelling of routine health facility data for malaria risk micro-stratification in mainland Tanzania. Sci Rep 2023; 13:10600. [PMID: 37391538 PMCID: PMC10313820 DOI: 10.1038/s41598-023-37669-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 06/26/2023] [Indexed: 07/02/2023] Open
Abstract
As malaria transmission declines, the need to monitor the heterogeneity of malaria risk at finer scales becomes critical to guide community-based targeted interventions. Although routine health facility (HF) data can provide epidemiological evidence at high spatial and temporal resolution, its incomplete nature of information can result in lower administrative units without empirical data. To overcome geographic sparsity of data and its representativeness, geo-spatial models can leverage routine information to predict risk in un-represented areas as well as estimate uncertainty of predictions. Here, a Bayesian spatio-temporal model was applied on malaria test positivity rate (TPR) data for the period 2017-2019 to predict risks at the ward level, the lowest decision-making unit in mainland Tanzania. To quantify the associated uncertainty, the probability of malaria TPR exceeding programmatic threshold was estimated. Results showed a marked spatial heterogeneity in malaria TPR across wards. 17.7 million people resided in areas where malaria TPR was high (≥ 30; 90% certainty) in the North-West and South-East parts of Tanzania. Approximately 11.7 million people lived in areas where malaria TPR was very low (< 5%; 90% certainty). HF data can be used to identify different epidemiological strata and guide malaria interventions at micro-planning units in Tanzania. These data, however, are imperfect in many settings in Africa and often require application of geo-spatial modelling techniques for estimation.
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Affiliation(s)
- Sumaiyya G Thawer
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
- University of Basel, Basel, Switzerland.
| | - Monica Golumbeanu
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Samwel Lazaro
- Ministry of Health, Dodoma, Tanzania
- National Malaria Control Programme, Dodoma, Tanzania
| | - Frank Chacky
- Ministry of Health, Dodoma, Tanzania
- National Malaria Control Programme, Dodoma, Tanzania
| | - Khalifa Munisi
- Ministry of Health, Dodoma, Tanzania
- National Malaria Control Programme, Dodoma, Tanzania
| | - Sijenunu Aaron
- Ministry of Health, Dodoma, Tanzania
- National Malaria Control Programme, Dodoma, Tanzania
| | - Fabrizio Molteni
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
- National Malaria Control Programme, Dodoma, Tanzania
| | - Christian Lengeler
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Emilie Pothin
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
- Clinton Health Access Initiative, New York, USA
| | - Robert W Snow
- Population Health Unit, KEMRI-Welcome Trust Research Programme, Nairobi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - Victor A Alegana
- World Health Organization, Regional Office for Africa, Brazzaville, Republic of Congo
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3
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Gutman JR, Mwesigwa JN, Arnett K, Kangale C, Aaron S, Babarinde D, Buekens J, Candrinho B, Debe S, Digre P, Drake M, Gansané A, Gogue C, Griffith KS, Hicks J, Kinda R, Koenker H, Lemwayi R, Munsey A, Obi E, Ogouyèmi-Hounto A, Okoko OO, Onikpo F, Onoja A, Porter T, Savaio B, Tynuv K, Uhomoibhi P, Wagman J, Wolf K, Zulliger R, Walker P, Miller JM, Robertson M. Using antenatal care as a platform for malaria surveillance data collection: study protocol. Malar J 2023; 22:99. [PMID: 36932384 PMCID: PMC10022568 DOI: 10.1186/s12936-023-04521-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/02/2023] [Indexed: 03/19/2023] Open
Abstract
BACKGROUND While many malaria-endemic countries have health management information systems that can measure and report malaria trends in a timely manner, these routine systems have limitations. Periodic community cross-sectional household surveys are used to estimate malaria prevalence and intervention coverage but lack geographic granularity and are resource intensive. Incorporating malaria testing for all women at their first antenatal care (ANC) visit (i.e., ANC1) could provide a more timely and granular source of data for monitoring trends in malaria burden and intervention coverage. This article describes a protocol designed to assess if ANC-based surveillance could be a pragmatic tool to monitor malaria. METHODS This is an observational, cross-sectional study conducted in Benin, Burkina Faso, Mozambique, Nigeria, Tanzania, and Zambia. Pregnant women attending ANC1 in selected health facilities will be tested for malaria infection by rapid diagnostic test and administered a brief questionnaire to capture key indicators of malaria control intervention coverage and care-seeking behaviour. In each location, contemporaneous cross-sectional household surveys will be leveraged to assess correlations between estimates obtained using each method, and the use of ANC data as a tool to track trends in malaria burden and intervention coverage will be validated. RESULTS This study will assess malaria prevalence at ANC1 aggregated at health facility and district levels, and by gravidity relative to current pregnancy (i.e., gravida 1, gravida 2, and gravida 3 +). ANC1 malaria prevalence will be presented as monthly trends. Additionally, correlation between ANC1 and household survey-derived estimates of malaria prevalence, bed net ownership and use, and care-seeking will be assessed. CONCLUSION ANC1-based surveillance has the potential to provide a cost-effective, localized measure of malaria prevalence that is representative of the general population and useful for tracking monthly changes in parasite prevalence, as well as providing population-representative estimates of intervention coverage and care-seeking behavior. This study will evaluate the representativeness of these measures and collect information on operational feasibility, usefulness for programmatic decision-making, and potential for scale-up of malaria ANC1 surveillance.
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Affiliation(s)
- Julie R Gutman
- Malaria Branch, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | | | | | | | | | | | | | | | - Siaka Debe
- Centre National de Recherche Et de Formation Sur Le Paludisme, Ouagadougou, Burkina Faso
| | | | | | - Adama Gansané
- Centre National de Recherche Et de Formation Sur Le Paludisme, Ouagadougou, Burkina Faso
| | | | - Kevin S Griffith
- US President's Malaria Initiative, US Agency for International Development, Washington, DC, USA
| | | | - Réné Kinda
- Centre National de Recherche Et de Formation Sur Le Paludisme, Ouagadougou, Burkina Faso
| | | | | | - Anna Munsey
- Malaria Branch, US Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Emmanuel Obi
- National Malaria Elimination Program, Abuja, Nigeria
| | | | | | | | - Ali Onoja
- Ibolda Health International Ltd, Abuja, Nigeria
| | | | | | | | | | | | | | - Rose Zulliger
- US President's Malaria Initiative, US Agency for International Development, Washington, DC, USA
| | | | | | - Molly Robertson
- The Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland
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4
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Women attending antenatal care as a sentinel surveillance population for malaria in Geita region, Tanzania: feasibility and acceptability to women and providers. Malar J 2023; 22:66. [PMID: 36829200 PMCID: PMC9951145 DOI: 10.1186/s12936-023-04480-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 02/02/2023] [Indexed: 02/26/2023] Open
Abstract
BACKGROUND Measurement of malaria prevalence is conventionally estimated through infrequent cross-sectional household surveys that do not provide continuous information regarding malaria parasitaemia. Recent studies have suggested that malaria parasitaemia prevalence among women attending antenatal care (ANC) correlates with prevalence among children under 5 years old and that pregnant women could be a sentinel population for tracking malaria prevalence. In mainland Tanzania, 97% of women are tested for malaria parasitaemia during first ANC visits. However, acceptability among pregnant women and healthcare providers of collecting malaria risk factor data during ANC visits is limited. METHODS A tablet-based questionnaire including 15 questions on insecticide-treated net ownership and use and care-seeking for febrile children was introduced at 40 healthcare facilities in Geita Region, Tanzania. Facilities were randomly selected from among those with 15-120 first ANC visits per month. To assess perspectives regarding introduction of the questionnaire, 21 semi-structured interviews were held with providers and facility in-charges at 12 facilities. Thirty pregnant and recently delivered women participated in focus group discussions at seven facilities to assess the acceptability of spending additional time answering questions about malaria risk. RESULTS All pregnant women reported that introduction of ANC surveillance and spending 10 more minutes with providers answering questions about their health would be neutral or beneficial. They perceived being asked about their health as standard of care. Providers and in-charges reported that introduction of ANC surveillance was within their scope of practice. Nine of 21 indicated it could potentially benefit women's health. Six providers expressed concern about staffing shortages and need for reimbursement for extra time and noted that data management occurs after hours. CONCLUSIONS Pregnant women and providers generally perceived ANC surveillance for malaria as acceptable and positive. Pregnant and recently delivered women saw this as a reasonable and even helpful intervention. To be seen as a part of standard practice, efforts are needed to ensure providers perceive a benefit for ANC clients and that staffing concerns are addressed. In addition, staff should receive feedback related to data submissions regarding malaria prevalence and risk factors among women at their facility, with actions to take.
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5
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Pujol A, Brokhattingen N, Matambisso G, Mbeve H, Cisteró P, Escoda A, Maculuve S, Cuna B, Melembe C, Ndimande N, Munguambe H, Lopez JM, Nhamussa L, Simone W, Tetteh K, Drakeley C, Gamain B, Chitnis C, Chauhan VS, Quintó L, Chidimatembue A, Soler HM, Galatas B, Guinovart C, Saute F, Aide P, Macete E, Mayor A. Detecting temporal and spatial malaria patterns from first antenatal care visits. RESEARCH SQUARE 2023:rs.3.rs-2592126. [PMID: 36865132 PMCID: PMC9980210 DOI: 10.21203/rs.3.rs-2592126/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Pregnant women attending first antenatal care (ANC) visits represent a promising malaria surveillance target in Sub-Saharan Africa. Here we assessed the spatio-temporal relationship between malaria at ANC (n=6,471), in children at the community(n=9,362) and at health facilities (n=15,467) in southern Mozambique (2016-2019). ANC P. falciparum rates detected by quantitative polymerase chain reaction mirrored rates in children, regardless of gravidity and HIV status (Pearson correlation coefficient [PCC]>0.8, χ²<1.1), with a 2-3 months lag. Only at rapid diagnostic test detection limits at moderate-to-high transmission, multigravidae showed lower rates than children (PCC=0.61, 95%CI[-0.12-0.94]). Seroprevalence against the pregnancy-specific antigen VAR2CSA reflected declining malaria trends (PCC=0.74, 95%CI[0.24-0.77]). 80% (12/15) of hotspots detected from health facility data using a novel hotspot detector, EpiFRIenDs, were also identified with ANC data. The results show that ANC-based malaria surveillance offers contemporary information on temporal trends and the geographic distribution of malaria burden in the community.
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Affiliation(s)
- Arnau Pujol
- ISGlobal, Barcelona Center for International Health Research (CRESIB), Hospital Clínic - Universitat de Barcelona / Centro de Investigação em Saúde da Manhiça
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Chris Drakeley
- London School of Hygiene and Tropical Medicine, United Kingdom
| | | | | | | | | | | | | | - Beatriz Galatas
- ISGlobal, Barcelona Center for International Health Research (CRESIB), Hospital Clínic - Universitat de Barcelona / Centro de Investigação em Saúde da Manhiça
| | | | | | | | | | - Alfredo Mayor
- ISGlobal, Barcelona Center for International Health Research (CRESIB), Hospital Clínic - Universitat de Barcelona / Centro de Investigação em Saúde da Manhiça
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6
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Doe MTT, Bajinka O, Barrow A. Antenatal care positive responses to pregnant women in preventing and controlling malaria in pregnancy: the sub-Saharan African perspective. World J Pediatr 2022; 18:453-462. [PMID: 35616810 DOI: 10.1007/s12519-022-00549-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 03/27/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND The response to antenatal care (ANC) for maternal and offspring outcomes, especially in pregnant women has been thoroughly studied. However, despite the number of interventional studies on the treatment of sulfadoxine-pyrimethamine combination (IPTp-SP) uptake, the point in point cases of the positive responses of ANC in improving health conditions of pregnant women are not found in the literature. DATA SOURCES This review collected ANC responses to the positive health outcomes for pregnant women with malaria, the challenges faced regarding IPTp-SP uptake during ANC visits and the role of ANC in preventing and controlling malaria in sub-Saharan Africa. It elucidated ANC and uptake of optimal intermittent preventive IPTp-SP and further described ANC as a tool for heterogeneity for malaria prevention. RESULTS ANC is seen as a microscope to malaria in pregnacy, maternal iron deficiency and anemia checkpoints, ANC and malaria treatment strategies, and ANC and the use of insecticide treated nets (ITN). The review further discussed ANC attendance influencing factors, limitations to ANC implications and the prospects in ANC visits on preventing malaria in pregnancy. CONCLUSIONS A declining trend of malaria transmission in Africa has been observed in recent years. However, the burden of malaria in pregnancy remains a health concern. The rate of SP resistance, low uptake of IPTp-SP, low LLINs distribution, late gestational ANC visits and low turnaround for optimal ANC visits for first time mothers' aggrevated the malaria-endemic settings among pregnant women in sub-Saharan Africa.
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Affiliation(s)
- Margaret Tete Telay Doe
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, People's Republic of China.
| | - Ousman Bajinka
- Department of Microbiology, Central South University, Changsha, Hunan Provinces, China.,China-Africa Research Centre of Infectious Diseases, School of Basic Medical Sciences, Central South University, Changsha, 410078, Hunan, China.,School of Medicine and Allied Health Sciences, University of The Gambia, Banjul, The Gambia
| | - Amadou Barrow
- Heidelberg, Institute of Global Health, University Hospital and Medical Faculty, Heidelberg University, Heidelberg, Germany.,School of Medicine and Allied Health Sciences, University of The Gambia, Banjul, The Gambia
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7
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Kitojo C, Chacky F, Kigadye ES, Mugasa JP, Lusasi A, Mohamed A, Reaves EJ, Gutman JR, Ishengoma DS. Acceptability of single screening and treatment policy for the control of malaria in pregnancy: perceptions of providers and pregnant women from selected health facilities in Lindi region, Tanzania. Malar J 2021; 20:256. [PMID: 34103047 PMCID: PMC8188655 DOI: 10.1186/s12936-021-03782-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 05/25/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Tanzania started implementing single screening and treatment (SST) for all pregnant women attending their first antenatal care (ANC) visits in 2014, using malaria rapid diagnostic tests (RDTs) and treating those who test positive according to the national guidelines. However, there is a paucity of data to show the acceptability of SST to both pregnant women and health care workers (HCWs), taking into consideration the shortage of workers and the added burden of this policy to the health system. This study assessed the perceptions and opinions of health service users and providers to determine the acceptability of SST policy. METHODS Pregnant women and HCWs in eight health facilities in two districts of Lindi region (Kilwa and Lindi) were interviewed using semi-structured questionnaires with open and close-ended questions. Both qualitative and quantitative data were collected, including demographic characteristics, women's experience, their perception on SST and challenges they face when receiving services for malaria offered at ANC. Experience of HCWs regarding the implementation of SST as part of routine services and the challenges encountered when providing ANC services for malaria in pregnancy (MIP) were also assessed. RESULTS Of the 143 pregnant women interviewed, 97% viewed testing favourably and would wish to be tested for malaria again, while 95% were satisfied with services and reasons for testing during the first ANC visit. Nearly all (99%) would recommend their fellow pregnant women to be tested for malaria and all women recommended that the Ministry of Health should continue the SST strategy. This was despite the fact that 76% of the women experienced pain and 16% had anxiety as a result of finger prick. Sixteen HCWs (mostly nurses) were interviewed; they also viewed SST implementation favourably and reported feeling empowered to use RDTs for malaria screening. The main challenge identified by HCWs was that nurses are not allowed to prescribe anti-malarials to women who test positive and need to refer them to the outpatient department for treatment. CONCLUSION SST was considered an acceptable approach to control MIP by HCWs and pregnant women, and they recommended the continuation of the policy. In addition, consideration should be given to implementing a task-shifting policy to allow nurses to dispense anti-malarials to pregnant women.
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Affiliation(s)
- Chonge Kitojo
- US President's Malaria Initiative, United States Agency for International Development, Dar es Salaam, United Republic of Tanzania. .,The Open University of Tanzania, Dar es Salaam, United Republic of Tanzania.
| | - Frank Chacky
- National Malaria Control Programme, Dodoma, United Republic of Tanzania
| | - Emmanuel S Kigadye
- The Open University of Tanzania, Dar es Salaam, United Republic of Tanzania
| | - Joseph P Mugasa
- PMI Impact Malaria Population Services International (PSI), Dar es Salaam, United Republic of Tanzania
| | - Abdallah Lusasi
- National Malaria Control Programme, Dodoma, United Republic of Tanzania
| | - Ally Mohamed
- National Malaria Control Programme, Dodoma, United Republic of Tanzania
| | - Erik J Reaves
- US President's Malaria Initiative, Centers for Disease Control and Prevention, Dar es Salaam, United Republic of Tanzania
| | - Julie R Gutman
- Malaria Branch, Division of Parasitic Diseases and Malaria, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Deus S Ishengoma
- National Institute for Medical Research, Dar es Salaam, United Republic of Tanzania.,Faculty of Pharmaceutical Sciences, Monash University, Melbourne, Australia.,School of Public Health, Harvard University, Boston, MA, USA
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8
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Dosoo DK, Chandramohan D, Atibilla D, Oppong FB, Ankrah L, Kayan K, Agyemang V, Adu-Gyasi D, Twumasi M, Amenga-Etego S, Bruce J, Asante KP, Greenwood B, Owusu-Agyei S. Epidemiology of malaria among pregnant women during their first antenatal clinic visit in the middle belt of Ghana: a cross sectional study. Malar J 2020; 19:381. [PMID: 33097044 PMCID: PMC7585211 DOI: 10.1186/s12936-020-03457-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 10/19/2020] [Indexed: 01/15/2023] Open
Abstract
Background Malaria during pregnancy may result in unfavourable outcomes in both mothers and their foetuses. This study sought to document the current burden and factors associated with malaria and anaemia among pregnant women attending their first antenatal clinic visit in an area of Ghana with perennial malaria transmission. Methods A total of 1655 pregnant women aged 18 years and above with a gestational age of 13–22 weeks, who attended an antenatal care (ANC) clinic for the first time, were consented and enrolled into the study. A structured questionnaire was used to collect socio-demographic and obstetric data and information on use of malaria preventive measures. Venous blood (2 mL) was collected before sulfadoxine-pyrimethamine administration. Malaria parasitaemia and haemoglobin concentration were determined using microscopy and an automated haematology analyser, respectively. Data analysis was carried out using Stata 14. Results Mean age (SD) and gestational age (SD) of women at enrolment were 27.4 (6.2) years and 16.7 (4.3) weeks, respectively. Overall malaria parasite prevalence was 20.4% (95% CI 18.5–22.4%). Geometric mean parasite density was 442 parasites/µL (95% CI 380–515). Among women with parasitaemia, the proportion of very low (1–199 parasites/µL), low (200–999 parasites/µL), medium (1000–9999 parasites/µL) and high (≥ 10,000 parasites/µL) parasite density were 31.1, 47.0, 18.9, and 3.0%, respectively. Age ≥ 25 years (OR 0.57, 95% CI 0.41–0.79), multigravid (OR 0.50, 95% CI 0.33–0.74), educated to high school level or above (OR 0.53, 95% CI 0.33–0.83) and in household with higher socio-economic status (OR 0.34, 95% CI 0.21–0.54) were associated with a lower risk of malaria parasitaemia. The prevalence of anaemia (< 11.0 g/dL) was 56.0%, and the mean haemoglobin concentration in women with or without parasitaemia was 9.9 g/dL or 10.9 g/dL, respectively. Conclusion One out of five pregnant women attending their first ANC clinic visit in an area of perennial malaria transmission in the middle belt of Ghana had Plasmodium falciparum infection. Majority of the infections were below 1000 parasites/µL and with associated anaemia. There is a need to strengthen existing malaria prevention strategies to prevent unfavourable maternal and fetal birth outcomes in this population.
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Affiliation(s)
- David Kwame Dosoo
- Kintampo Health Research Centre, Ghana Health Service, PO Box 200, Kintampo, Ghana. .,Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
| | - Daniel Chandramohan
- Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Dorcas Atibilla
- Kintampo Health Research Centre, Ghana Health Service, PO Box 200, Kintampo, Ghana
| | - Felix Boakye Oppong
- Kintampo Health Research Centre, Ghana Health Service, PO Box 200, Kintampo, Ghana
| | - Love Ankrah
- Kintampo Health Research Centre, Ghana Health Service, PO Box 200, Kintampo, Ghana
| | - Kingsley Kayan
- Kintampo Health Research Centre, Ghana Health Service, PO Box 200, Kintampo, Ghana
| | - Veronica Agyemang
- Kintampo Health Research Centre, Ghana Health Service, PO Box 200, Kintampo, Ghana
| | - Dennis Adu-Gyasi
- Kintampo Health Research Centre, Ghana Health Service, PO Box 200, Kintampo, Ghana
| | - Mieks Twumasi
- Kintampo Health Research Centre, Ghana Health Service, PO Box 200, Kintampo, Ghana
| | - Seeba Amenga-Etego
- Kintampo Health Research Centre, Ghana Health Service, PO Box 200, Kintampo, Ghana
| | - Jane Bruce
- Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Kwaku Poku Asante
- Kintampo Health Research Centre, Ghana Health Service, PO Box 200, Kintampo, Ghana
| | - Brian Greenwood
- Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Seth Owusu-Agyei
- Kintampo Health Research Centre, Ghana Health Service, PO Box 200, Kintampo, Ghana.,Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.,Institute of Health Research, University of Health and Allied Sciences, Ho, Ghana
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9
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Makenga G, Menon S, Baraka V, Minja DT, Nakato S, Delgado-Ratto C, Francis F, Lusingu JP, Van Geertruyden JP. Prevalence of malaria parasitaemia in school-aged children and pregnant women in endemic settings of sub-Saharan Africa: A systematic review and meta-analysis. Parasite Epidemiol Control 2020; 11:e00188. [PMID: 33145445 PMCID: PMC7591779 DOI: 10.1016/j.parepi.2020.e00188] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 10/15/2020] [Accepted: 10/18/2020] [Indexed: 12/05/2022] Open
Abstract
Despite increased malaria control efforts, school-aged children (5–14 years) have higher a malaria prevalence compared to children under-five. In high-transmission settings, up to 70% of school-aged children harbour malaria parasitaemia and therefore contribute significantly to the reservoir for transmission. A systematic review was performed to explore the correlation between the malaria parasite carriage in pregnant women and school-aged children living in similar endemic settings of sub Saharan Africa to inform strategies to improve targeted malaria control. In order to obtain data on malaria prevalence in pregnant women and school-aged children living in the same endemic setting, we searched the Malaria in Pregnancy Library, PubMed, Cochrane library and Web of Science in December 2018. We fit a fixed effect model to obtain a pooled risk ratio (PRR) of malaria in school-aged children versus pregnant women and used Poisson regression to estimate risk ratios in school-aged children for every increase in prevalence in pregnant women. We used data from six (out of 1096) sources that included 10 data points. There was a strong linear relation between the prevalence of malaria infection in pregnant women and school-aged children (r = 0·93, p < 0·0001). School-aged children were nearly twice at risk to carry parasites compared to pregnant women (RR = 1.95, 95% CI: 1·69–2.25, p < 0.01). Poisson regression showed that a 1% increase in prevalence of malaria infection in pregnant women was significantly associated with increase in risk in school-aged children by 4%. Malaria infection prevalence in school-aged children is strongly correlated with the prevalence in pregnant women living in the same community, and may be considered as alternative indicators to track temporal and spatial trends in malaria transmission intensity. Chemoprevention strategies targeting school-aged children should be explored to reduce malaria burden and transmission in school-aged children and its potential impact on communities.
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Affiliation(s)
- Geofrey Makenga
- National Institute for Medical Research, Tanga Centre, P. O. Box 5004, Tanga, Tanzania
- Global Health Institute, University of Antwerp, Antwerp, Belgium
- Corresponding author at.: National Institute for Medical Research, Tanga Centre, P. O. Box 5004, Tanga, Tanzania.
| | - Sonia Menon
- Global Health Institute, University of Antwerp, Antwerp, Belgium
| | - Vito Baraka
- National Institute for Medical Research, Tanga Centre, P. O. Box 5004, Tanga, Tanzania
| | - Daniel T.R. Minja
- National Institute for Medical Research, Tanga Centre, P. O. Box 5004, Tanga, Tanzania
| | - Swabra Nakato
- Global Health Institute, University of Antwerp, Antwerp, Belgium
| | | | - Filbert Francis
- National Institute for Medical Research, Tanga Centre, P. O. Box 5004, Tanga, Tanzania
| | - John P.A. Lusingu
- National Institute for Medical Research, Tanga Centre, P. O. Box 5004, Tanga, Tanzania
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Garg S, Dewangan M, Barman O. Malaria prevalence in symptomatic and asymptomatic pregnant women in a high malaria-burden state in India. Trop Med Health 2020; 48:71. [PMID: 32831578 PMCID: PMC7436977 DOI: 10.1186/s41182-020-00259-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 08/10/2020] [Indexed: 11/11/2022] Open
Abstract
Introduction Malaria in pregnancy (‘MiP’) poses risks to mother, foetus and newborn. Studies from Africa and Asia have reported high prevalence of ‘MiP’ and recommended further research to address ‘MiP’. India has a significant burden of ‘MiP’ but most of the studies are a decade old. Hardly any studies exist in India that report on asymptomatic malaria in pregnant women. The current Indian policies for malaria control are silent on ‘MiP’. A campaign was carried out by community health workers (CHWs) in 2019 to screen pregnant women across rural Chhattisgarh. Methods This is a cross-sectional study. Malaria was tested in pregnant women by CHWs using bivalent rapid tests. Multi-stage sampling was used to cover 21,572 pregnant women screened across different geographical areas of rural Chhattisgarh. Cross-tabulation and multivariate regression were used to find out the relationship of ‘MiP’ with different symptoms and geographical areas. GIS maps were used to compare malaria in pregnant women against overall febrile population. Results In rural Chhattisgarh, malaria was present in 0.81% of the pregnant women at the time of testing. ‘MiP’ prevalence varied across geographies, reaching 4.48% in the geographical division with highest burden. Febrile pregnant women had three times greater malaria-positivity than overall febrile population and both showed a similar geographical pattern. Discussion Prevalence of ‘MiP’ was found to be less than earlier studies in the state. Though overall malaria in India has shown some decline, a policy response is needed for ‘MiP’ in high-burden areas. Fever, diarrhoea and jaundice remain relevant symptoms in ‘MiP’, but around one fourth of malaria-positive pregnant-women were afebrile, suggesting the need for strategies to address it. Conclusion The current study based on a large sample provides fresh evidence on ‘MiP’ in India. It used CHWs as skilled providers for large-scale screening for malaria. In high-burden areas, intermittent screening and treatment (IST) of all pregnant women can be a useful strategy in order to address ‘MiP’. Pregnant women can be considered as a pertinent sentinel population for malaria. The global and national policies need to evolve concrete strategies for addressing malaria in pregnancy.
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Affiliation(s)
- Samir Garg
- State Health Resource Centre, Raipur, Chhattisgarh India
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Alegana VA, Okiro EA, Snow RW. Routine data for malaria morbidity estimation in Africa: challenges and prospects. BMC Med 2020; 18:121. [PMID: 32487080 PMCID: PMC7268363 DOI: 10.1186/s12916-020-01593-y] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 04/14/2020] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND The burden of malaria in sub-Saharan Africa remains challenging to measure relying on epidemiological modelling to evaluate the impact of investments and providing an in-depth analysis of progress and trends in malaria response globally. In malaria-endemic countries of Africa, there is increasing use of routine surveillance data to define national strategic targets, estimate malaria case burdens and measure control progress to identify financing priorities. Existing research focuses mainly on the strengths of these data with less emphasis on existing challenges and opportunities presented. CONCLUSION Here we define the current imperfections common to routine malaria morbidity data at national levels and offer prospects into their future use to reflect changing disease burdens.
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Affiliation(s)
- Victor A Alegana
- Population Health Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, P.O. Box 43640, Nairobi, 00100, Kenya.
- Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK.
- Faculty of Science and Technology, Lancaster University, Lancaster, LAI 4YW, UK.
| | - Emelda A Okiro
- Population Health Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, P.O. Box 43640, Nairobi, 00100, Kenya
| | - Robert W Snow
- Population Health Unit, Kenya Medical Research Institute - Wellcome Trust Research Programme, P.O. Box 43640, Nairobi, 00100, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, OX3 7LJ, UK
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Thawer SG, Chacky F, Runge M, Reaves E, Mandike R, Lazaro S, Mkude S, Rumisha SF, Kumalija C, Lengeler C, Mohamed A, Pothin E, Snow RW, Molteni F. Sub-national stratification of malaria risk in mainland Tanzania: a simplified assembly of survey and routine data. Malar J 2020; 19:177. [PMID: 32384923 PMCID: PMC7206674 DOI: 10.1186/s12936-020-03250-4] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 04/29/2020] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Recent malaria control efforts in mainland Tanzania have led to progressive changes in the prevalence of malaria infection in children, from 18.1% (2008) to 7.3% (2017). As the landscape of malaria transmission changes, a sub-national stratification becomes crucial for optimized cost-effective implementation of interventions. This paper describes the processes, data and outputs of the approach used to produce a simplified, pragmatic malaria risk stratification of 184 councils in mainland Tanzania. METHODS Assemblies of annual parasite incidence and fever test positivity rate for the period 2016-2017 as well as confirmed malaria incidence and malaria positivity in pregnant women for the period 2015-2017 were obtained from routine district health information software. In addition, parasite prevalence in school children (PfPR5to16) were obtained from the two latest biennial council representative school malaria parasitaemia surveys, 2014-2015 and 2017. The PfPR5to16 served as a guide to set appropriate cut-offs for the other indicators. For each indicator, the maximum value from the past 3 years was used to allocate councils to one of four risk groups: very low (< 1%PfPR5to16), low (1- < 5%PfPR5to16), moderate (5- < 30%PfPR5to16) and high (≥ 30%PfPR5to16). Scores were assigned to each risk group per indicator per council and the total score was used to determine the overall risk strata of all councils. RESULTS Out of 184 councils, 28 were in the very low stratum (12% of the population), 34 in the low stratum (28% of population), 49 in the moderate stratum (23% of population) and 73 in the high stratum (37% of population). Geographically, most of the councils in the low and very low strata were situated in the central corridor running from the north-east to south-west parts of the country, whilst the areas in the moderate to high strata were situated in the north-west and south-east regions. CONCLUSION A stratification approach based on multiple routine and survey malaria information was developed. This pragmatic approach can be rapidly reproduced without the use of sophisticated statistical methods, hence, lies within the scope of national malaria programmes across Africa.
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Affiliation(s)
- Sumaiyya G Thawer
- Swiss Tropical and Public Health Institute, Basel, Switzerland.
- University of Basel, Basel, Switzerland.
| | - Frank Chacky
- Ministry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania
- National Malaria Control Programme, Dodoma, Tanzania
| | - Manuela Runge
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Erik Reaves
- Malaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, and US President's Malaria Initiative, Dar es Salaam, United Republic of Tanzania
| | - Renata Mandike
- Ministry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania
- National Malaria Control Programme, Dodoma, Tanzania
| | - Samwel Lazaro
- Ministry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania
- National Malaria Control Programme, Dodoma, Tanzania
| | - Sigsbert Mkude
- Swiss Tropical and Public Health Institute, Basel, Switzerland
| | - Susan F Rumisha
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | - Claud Kumalija
- Ministry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania
| | - Christian Lengeler
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Ally Mohamed
- Ministry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania
- National Malaria Control Programme, Dodoma, Tanzania
| | - Emilie Pothin
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- Clinton Health Access Initiative, New York, USA
| | - Robert W Snow
- KEMRI-Welcome Trust Research Programme, Nairobi, Kenya
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | - Fabrizio Molteni
- Swiss Tropical and Public Health Institute, Basel, Switzerland.
- National Malaria Control Programme, Dodoma, Tanzania.
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Bayesian Spatiotemporal Modeling of Routinely Collected Data to Assess the Effect of Health Programs in Malaria Incidence During Pregnancy in Burkina Faso. Sci Rep 2020; 10:2618. [PMID: 32060297 PMCID: PMC7021681 DOI: 10.1038/s41598-020-58899-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 01/19/2020] [Indexed: 01/24/2023] Open
Abstract
Control of malaria in pregnancy (MiP) remains a major challenge in Burkina Faso. Surveillance of the burden due to MiP based on routinely collected data at a fine-scale level, followed by an appropriate analysis and interpretation, may be crucial for evaluating and improving the effectiveness of existing control measures. We described the spatio-temporal dynamics of MiP at the community-level and assessed health program effects, mainly community-based health promotion, results-based financing, and intermittent-preventive-treatment with sulphadoxine-pyrimethamine (IPTp-SP). Community-aggregated monthly MiP cases were downloaded from Health Management Information System and combined with covariates from other sources. The MiP spatio-temporal pattern was decomposed into three components: overall spatial and temporal trends and space-time interaction. Bayesian hierarchical spatio-temporal Poisson models were used to fit the MiP incidence rate and assess health program effects. The overall annual incidence increased between 2015 and 2017. The findings reveal spatio-temporal heterogenicity throughout the year, which peaked during rainy season. From the model without covariates, 96 communities located mainly in the Cascades, South-West, Center-West, Center-East, and Eastern regions, exhibited significant relative-risk levels. The combined effect (significant reducing effect) of RBF, health promotion and IPTp-SP strategies was greatest in 17.7% (17/96) of high burden malaria communities. Despite intensification of control efforts, MiP remains high at the community-scale. The provided risk maps are useful tools for highlighting areas where interventions should be optimized, particularly in high-risk communities.
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