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• Journal article
  Patel A, Jofre-Bonet M, Hauck K, Miraldo M, Mistry H, Premji Set al., 2025,

  Broadening the lens: a commentary on Sheard and Cauana-Finkel's account of women's progress in UK academic health economics

  , Social Science and Medicine, Vol: 382, ISSN: 0277-9536
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• Journal article
  Kang H, Lim A, Auzenbergs M, Clark A, Colon-Gonzalez FJ, Salje H, Clapham H, Carrera JP, Kim J-H, Malarski M, Lopez-Verges S, Cucunuba ZM, Cerqueira-Silva T, Edmunds WJ, Sahastrabuddhe S, Brady OJ, Abbas Ket al., 2025,

  Global, regional and national burden of chikungunya: force of infection mapping and spatial modelling study

  , BMJ GLOBAL HEALTH, Vol: 10, ISSN: 2059-7908
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• Journal article
  Stone J, Mutai KK, Artenie A, Silhol R, Boily M-C, Ratevosian J, Beyrer C, Vickerman Pet al., 2025,

  The impact of cuts in the US President's Emergency Plan for AIDS Relief funding for HIV pre-exposure prophylaxis in sub-Saharan Africa: a modelling study

  , The Lancet HIV, Vol: 12, Pages: e712-e721, ISSN: 2352-3018

  BackgroundIn January, 2025, the US Government issued a directive, pausing all foreign aid programmes. This directive included a 90-day pausing of all US President's Emergency Plan for AIDS Relief (PEPFAR) funding for HIV oral pre-exposure prophylaxis (PrEP) except for pregnant and breastfeeding women, with a return to funding for PrEP looking increasingly unlikely. We aimed to estimate the impact of a funding pause for PrEP on HIV infections in sub-Saharan Africa.MethodsIn this mathematical modelling study, we developed a static HIV transmission model incorporating PrEP, parameterised with estimates of population size, HIV prevalence and incidence, and PrEP effectiveness for different subpopulations (including key populations) in each PEPFAR-funded sub-Saharan African country. Key populations were men who have sex with men, female sex workers, transgender women, and people who inject drugs. We used PEPFAR reporting on numbers of people in different subpopulations returning for oral PrEP for each country in July to September, 2024, as the estimated number using oral PrEP provided by PEPFAR. For each country and subpopulation, we modelled the relative and absolute increase in new primary HIV infections resulting from removing this funded PrEP for a year and the number of secondary infections that could result from these primary infections during the next 5 years.FindingsTowards the end of 2024, 719 384 individuals who were not breastfeeding or pregnant, including 205 868 people from key populations, received PEPFAR-funded PrEP across 28 sub-Saharan African countries. The estimated proportion of HIV-negative key population individuals receiving PEPFAR-funded PrEP (ie, the coverage) ranged from 2·6% (95% uncertainty interval 2·0–3·4) in people who inject drugs to 5·0% (4·5–5·9) in female sex workers. Estimated coverage among non-key population men was less than 0·1% (<0·1 to <0·1) and in wo

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• Journal article
  Kamgno J, Adeleke M, Basáñez M-G, Coulibaly Y, de Souza DK, Debrah LB, Debrah AY, Diggle PJ, Nana-Djeunga HC, Domché A, Gass K, Hoerauf A, Hopkins A, Klion A, Mackenzie CD, Mwingira U, Njenga SM, Nutman TB, Nwane P, Stolk WA, Unnasch TR, Kelly-Hope LAet al., 2025,

  Vector-borne helminthiases: a road map for current and future research to support control and elimination in sub-Saharan Africa.

  , Lancet Infect Dis, Vol: 25, Pages: e555-e604
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• Journal article
  Dorigatti I, Gaythorpe KAM, Cox VM, Windram FA, Cator Let al., 2025,

  Priorities for modelling arbovirus transmission under climate change

  , TRENDS IN MOLECULAR MEDICINE, Vol: 31, Pages: 885-894, ISSN: 1471-4914
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• Journal article
  Watson OJ, Tran TN-A, Zupko RJ, Symons T, Thomson R, Visser T, Rumisha S, Dzianach PA, Hathaway N, Kim I, Juliano JJ, Bailey JA, Slater H, Okell L, Gething P, Ghani A, Boni MF, Parr JB, Cunningham Jet al., 2025,

  Global risk of selection and spread of <i>Plasmodium falciparum</i> histidine-rich protein 2 and 3 gene deletions

  , NATURE MEDICINE, Vol: 31, ISSN: 1078-8956
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• Journal article
  Stover J, Sonneveldt E, Tam Y, Horton KC, Phillips AN, Smith J, Martin-Hughes R, ten Brink D, Citron D, Kim H-Y, Akullian A, Mudimu E, Pickles M, Bershteyn A, Williamson J, Meyer-Rath G, Jamieson L, Sully EA, White JN, Heaton A, Clark RA, Tong H, Richards AS, Mcquaid CF, Houben RMGJ, White RG, Dimitrov D, Kaftan Det al., 2025,

  Effects of reductions in US foreign assistance on HIV, tuberculosis, family planning, and maternal and child health a modelling study

  , LANCET GLOBAL HEALTH, Vol: 13, ISSN: 2214-109X
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• Journal article
  Djègbè NDC, Da DF, Somé BM, Paré LIG, Cissé F, Kaboré J, Churcher TS, Dabiré RKet al., 2025,

  Exploring near-infrared spectroscopy ability to predict the age and species of Anopheles gambiae sensu lato mosquitoes from different environmental conditions in Burkina Faso

  , Malaria Journal, Vol: 24, ISSN: 1475-2875

  BackgroundNear infrared spectroscopy (NIRS) has shown ability in previous studies to predict age and species of laboratory-reared and wild mosquitoes with moderate to high accuracy. To validate the technique as a routine tool, it is necessary to assess NIRS accuracy on these variables under different environmental conditions susceptible to affect the mosquito cuticle and interfere with the machine accuracy. This study investigated the influence of environmental conditions on NIRS accuracy to determine the age and species of Anopheles gambiae sensu lato (s.l.).MethodsEnvironmental conditions of three important seasonal periods in Burkina Faso covering the onset, the peak and the end of the rainy season were mimicked in the laboratory using incubators. Emerged An. gambiae s.s. and An. coluzzii from laboratory colonies were reared in each period using temperature and relative humidity for predicting mosquito species by NIRS. Wild An. gambiae s.l. (n = 3788) were caught during the 3 different periods described above and analysed by NIRS to predict Anopheles species. Furthermore, first generation of wild Anopheles (n = 1014) was used to assess NIRS ability to classify mosquito age in each environmental condition. All data analysis were performed using a binomial logistic regression model.ResultsNIRS discriminated between laboratory-reared Anopheles with 83% of accuracy independently of any environmental condition. Similar trend was found in wild-caught Anopheles. NIRS accuracies varied slightly in laboratory Anopheles (77–85%) and more strongly in their field counterparts (67–84%). In both cases, models developed from the season of interest were more accurate than models trained with insectary conditions or from a different period of the year, indicating temperature and humidity can impact NIRS accuracy. Models derived from laboratory-mosquitoes reared under fluctuating environmental conditions predicted field-derived mosquito spec

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• Journal article
  de Souza Santos AA, Ribeiro Pessanha Leal JG, Sabino EC, Faria NRet al., 2025,

  Dataset on Brazilian Municipal Health Policies During the COVID-19 Pandemic

  , SCIENTIFIC DATA, Vol: 12
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• Journal article
  Galue J, de Souza WM, Torres-Cosme R, Lezcano-Coba C, Tesh RB, Guzman H, Weaver SC, Capitan-Barrios Z, Valderrama A, Samudio R, Vittor AY, Vasilakis N, Carrera LC, Donnelly CA, Faria NR, Carrera J-Pet al., 2025,

  Contrasting Ecological Patterns of Venezuelan Equine Encephalitis and Madariaga Viruses in Small Mammal and Mosquito Populations from Two Enzootic Regions of Panama

  , VECTOR-BORNE AND ZOONOTIC DISEASES, ISSN: 1530-3667
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