ProCite
RefWorks
Reference Manager
BibTeX
Zotero
EndNote
-
1.
Allan M, et al., 2022. The World Health Organization COVID-19 surveillance database. Int J Equity Health 21: 167.
-
2.
Pullano G, et al., 2021. Underdetection of cases of COVID-19 in France threatens epidemic control. Nature 590: 134–139.
-
3.
Dorrington RE, Moultrie TA, Laubscher R, Groenewald PJ, Bradshaw D, 2021. Rapid mortality surveillance using a national population register to monitor excess deaths during SARS-CoV-2 pandemic in South Africa. Genus 77: 19.
-
4.
Michelozzi P, de’Donato F, Scortichini M, Sario MD, Noccioli F, Rossi P, Davoli M, 2020. Mortality impacts of the coronavirus disease (COVID-19) outbreak by sex and age: Rapid mortality surveillance system, Italy, 1 February to 18 April 2020. Euro Surveill 25: 2000620.
-
5.
Setel P, et al., 2020. Mortality surveillance during the COVID-19 pandemic. Bull World Health Organ 98: 374.
-
6.
Tiffany A, Moundekeno FP, Traoré A, Haile M, Sterk E, Guilavogui T, Serafini M, Genton B, Grais RF, 2016. Community-based surveillance to monitor mortality in a malaria-endemic and ebola-epidemic setting in rural Guinea. Am J Trop Med Hyg 95: 1389–1397.
-
7.
Mwananyanda L, et al., 2021. Covid-19 deaths in Africa: Prospective systematic postmortem surveillance study. BMJ 372: n334.
-
8.
Krishnan A, Gupta V, Nongkynrih B, Kumar R, Kaur R, Malhotra S, Salve HR, Narayan V, Gupta A, 2020. Mortality in India established through verbal autopsies (MINErVA): Strengthening national mortality surveillance system in India. J Glob Health 10: 020431.
-
9.
Macicame I, et al., 2023. Countrywide mortality surveillance for action in Mozambique: Results from a national sample-based vital statistics system for mortality and cause of death. Am J Trop Med Hyg 108 (Suppl 5 ):5–16.
-
10.
Jiwani SS, Mavie VA, Williams E, Kante AM, Amouzou A, 2023. Implementing the countrywide mortality surveillance in action in Mozambique: How much did it cost? Am J Trop Med Hyg 108: 40–46.
-
11.
Rodríguez DC, et al., 2023. From external to local: Opportunities and lessons learned from transitioning COMSA-Mozambique. Am J Trop Med Hyg 108: 47–55.
-
12.
Bhat PNM, 2002. Completeness of India’s Sample Registration System: An assessment using the general growth balance method. Population Studies 56: 119–134.
-
13.
Nepomuceno MR, Klimkin I, Jdanov DA, Alustiza-Galarza A, Shkolnikov VM, 2022. Sensitivity analysis of excess mortality due to the COVID-19 pandemic. Popul Dev Rev 48: 279–302.
-
14.
Watkins SC, 2004. Navigating the AIDS epidemic in rural Malawi. Popul Dev Rev 30: 673–705.
-
15.
Chyung SY, Roberts K, Swanson I, Hankinson A, 2017. Evidence-based survey design: The use of a midpoint on the Likert scale. Perform Improv 56: 15–23.
-
16.
Banda J, Dube A, Brumfield S, Amoah A, Crampin A, Reniers G, Helleringer S, 2021. Knowledge, risk perceptions, and behaviors related to the COVID-19 pandemic in Malawi. Demogr Res 44: 459–480.
-
17.
Mzumara GW, et al., 2021. The health policy response to COVID-19 in Malawi. BMJ Glob Health 6: e006035.
-
18.
National Statistical Office, 2019. 2018 Malawi Population and Housing Census. Zomba, Malawi: National Statistical Office.
-
19.
Chasukwa M, Choko AT, Muthema F, Nkhalamba MM, Saikolo J, Tlhajoane M, Reniers G, Dulani B, Helleringer S, 2022. Collecting mortality data via mobile phone surveys: A non-inferiority randomized trial in Malawi. PLOS Global Public Health 2: e0000852.
-
20.
Hersh S, Nair D, Komaragiri PB, Adlakha RK, 2021. Patchy signals: Capturing women’s voices in mobile phone surveys of rural India. BMJ Glob Health 6: e005411.
| Past two years | Past Year | Past 30 Days | |
|---|---|---|---|
| Abstract Views | 329 | 329 | 62 |
| Full Text Views | 11 | 11 | 3 |
| PDF Downloads | 18 | 18 | 4 |
Surveillance of Excess Mortality Based on Community Perceptions of Funeral Frequency in Northern Malawi during the COVID-19 Pandemic
Jethro Banda
Jethro Banda
Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi;
Search for other papers by Jethro Banda in
Current site
Google Scholar
PubMed
Search for other papers by Jethro Banda in
Current site
Google Scholar
PubMed
Maitha Al Suwaidi
Maitha Al Suwaidi
Division of Social Science, New York University – Abu Dhabi, Abu Dhabi, United Arab Emirates;
Search for other papers by Maitha Al Suwaidi in
Current site
Google Scholar
PubMed
Search for other papers by Maitha Al Suwaidi in
Current site
Google Scholar
PubMed
Amelia C. Crampin
Amelia C. Crampin
Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi;
Department of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom;
School of Health and Wellbeing, University of Glasgow, Glasgow, Scotland
Search for other papers by Amelia C. Crampin in
Current site
Google Scholar
PubMed
Department of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom;
School of Health and Wellbeing, University of Glasgow, Glasgow, Scotland
Search for other papers by Amelia C. Crampin in
Current site
Google Scholar
PubMed
Stéphane Helleringer
sh199@nyu.edu
Stéphane Helleringer
Division of Social Science, New York University – Abu Dhabi, Abu Dhabi, United Arab Emirates;
Search for other papers by Stéphane Helleringer in
Current site
Google Scholar
PubMed
Search for other papers by Stéphane Helleringer in
Current site
Google Scholar
PubMed
ABSTRACT.
Supplementary methods of mortality surveillance are needed in settings with incomplete death registration. Local perceptions of mortality levels might be useful indicators of excess deaths. Early in the COVID-19 pandemic, we developed a survey question asking respondents to evaluate the recent frequency of funerals in their community relative to a pre-pandemic baseline. We asked this question of more than 400 residents of Karonga district in Malawi, who were interviewed up to five times during a panel survey conducted by mobile phone between June 2020 and May 2021. The proportion of respondents reporting more funerals than usual in their community increased in early 2021, indicating excess mortality not otherwise detected by case-based surveillance and only partially visible in reports of inpatient deaths at health facilities. Systems assessing changes in perceptions of mortality can be rapidly established during an epidemic and may help detect excess deaths at local levels.
- Supplemental Materials (PDF 222.87 KB)
Author Notes
Current contact information: Jethro Banda, Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi, E-mail: jethro.banda@meiru.mw. Maitha Al Suwaidi, University of Oxford, Oxford, United Kingdom, E-mail: maa1006@nyu.edu. Amelia C. Crampin, Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi, Department of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom, and School of Health and Wellbeing, University of Glasgow, Glasgow, Scotland, E-mail: mia.crampin@lshtm.ac.uk. Stéphane Helleringer, Division of Social Science, New York University, Abu Dhabi, United Arab Emirates, E-mail: sh199@nyu.edu.
ProCite
RefWorks
Reference Manager
BibTeX
Zotero
EndNote
-
1.
Allan M, et al., 2022. The World Health Organization COVID-19 surveillance database. Int J Equity Health 21: 167.
-
2.
Pullano G, et al., 2021. Underdetection of cases of COVID-19 in France threatens epidemic control. Nature 590: 134–139.
-
3.
Dorrington RE, Moultrie TA, Laubscher R, Groenewald PJ, Bradshaw D, 2021. Rapid mortality surveillance using a national population register to monitor excess deaths during SARS-CoV-2 pandemic in South Africa. Genus 77: 19.
-
4.
Michelozzi P, de’Donato F, Scortichini M, Sario MD, Noccioli F, Rossi P, Davoli M, 2020. Mortality impacts of the coronavirus disease (COVID-19) outbreak by sex and age: Rapid mortality surveillance system, Italy, 1 February to 18 April 2020. Euro Surveill 25: 2000620.
-
5.
Setel P, et al., 2020. Mortality surveillance during the COVID-19 pandemic. Bull World Health Organ 98: 374.
-
6.
Tiffany A, Moundekeno FP, Traoré A, Haile M, Sterk E, Guilavogui T, Serafini M, Genton B, Grais RF, 2016. Community-based surveillance to monitor mortality in a malaria-endemic and ebola-epidemic setting in rural Guinea. Am J Trop Med Hyg 95: 1389–1397.
-
7.
Mwananyanda L, et al., 2021. Covid-19 deaths in Africa: Prospective systematic postmortem surveillance study. BMJ 372: n334.
-
8.
Krishnan A, Gupta V, Nongkynrih B, Kumar R, Kaur R, Malhotra S, Salve HR, Narayan V, Gupta A, 2020. Mortality in India established through verbal autopsies (MINErVA): Strengthening national mortality surveillance system in India. J Glob Health 10: 020431.
-
9.
Macicame I, et al., 2023. Countrywide mortality surveillance for action in Mozambique: Results from a national sample-based vital statistics system for mortality and cause of death. Am J Trop Med Hyg 108 (Suppl 5 ):5–16.
-
10.
Jiwani SS, Mavie VA, Williams E, Kante AM, Amouzou A, 2023. Implementing the countrywide mortality surveillance in action in Mozambique: How much did it cost? Am J Trop Med Hyg 108: 40–46.
-
11.
Rodríguez DC, et al., 2023. From external to local: Opportunities and lessons learned from transitioning COMSA-Mozambique. Am J Trop Med Hyg 108: 47–55.
-
12.
Bhat PNM, 2002. Completeness of India’s Sample Registration System: An assessment using the general growth balance method. Population Studies 56: 119–134.
-
13.
Nepomuceno MR, Klimkin I, Jdanov DA, Alustiza-Galarza A, Shkolnikov VM, 2022. Sensitivity analysis of excess mortality due to the COVID-19 pandemic. Popul Dev Rev 48: 279–302.
-
14.
Watkins SC, 2004. Navigating the AIDS epidemic in rural Malawi. Popul Dev Rev 30: 673–705.
-
15.
Chyung SY, Roberts K, Swanson I, Hankinson A, 2017. Evidence-based survey design: The use of a midpoint on the Likert scale. Perform Improv 56: 15–23.
-
16.
Banda J, Dube A, Brumfield S, Amoah A, Crampin A, Reniers G, Helleringer S, 2021. Knowledge, risk perceptions, and behaviors related to the COVID-19 pandemic in Malawi. Demogr Res 44: 459–480.
-
17.
Mzumara GW, et al., 2021. The health policy response to COVID-19 in Malawi. BMJ Glob Health 6: e006035.
-
18.
National Statistical Office, 2019. 2018 Malawi Population and Housing Census. Zomba, Malawi: National Statistical Office.
-
19.
Chasukwa M, Choko AT, Muthema F, Nkhalamba MM, Saikolo J, Tlhajoane M, Reniers G, Dulani B, Helleringer S, 2022. Collecting mortality data via mobile phone surveys: A non-inferiority randomized trial in Malawi. PLOS Global Public Health 2: e0000852.
-
20.
Hersh S, Nair D, Komaragiri PB, Adlakha RK, 2021. Patchy signals: Capturing women’s voices in mobile phone surveys of rural India. BMJ Glob Health 6: e005411.
| Past two years | Past Year | Past 30 Days | |
|---|---|---|---|
| Abstract Views | 329 | 329 | 62 |
| Full Text Views | 11 | 11 | 3 |
| PDF Downloads | 18 | 18 | 4 |